COMPOSITIONS OF HUMAN HEART DERIVED EXTRACELLULAR VESICLES AND USES THEREOF

Abstract
Compositions of human heart derived extracellular vesicles are provided. These compositions may comprise extracellular vesicles and a biologically or pharmaceutically acceptable adjuvant or carrier, said extracellular vesicles may comprise one or more of the following characteristics: extracellular vesicles isolated from human heart cells, a polydisperse population of particles, one or more cytosolic markers, one or more transmembrane markers, acetylcholinesterase activity, substantially lacking or devoid of one or more contaminants, unique miRNA transcripts, and a unit dosage of extracellular vesicles. Uses of compositions of human heart derived extracellular vesicles thereof in treating and preventing atrial arrhythmias, atrial inflammation, atrial fibrosis and atrial fibroblast proliferation, are also provided.
Description
FIELD OF INVENTION

The present invention relates generally to treatment or prevention of atrial arrhythmias. More specifically, the present invention relates to compositions comprising extracellular vesicles, and uses and methods for treatment of atrial arrhythmias.


BACKGROUND

Atrial arrhythmias, including atrial fibrillation, are the most common heart rhythm disturbance in the world-afflicting almost 38 million people worldwide (Benjamin, Levy et al. 1994; Furberg, Psaty et al. 1994; Go, Hylek et al. 2001). Subjects with atrial arrhythmia may present with symptoms that can significantly affect quality of life, including but not limited to, general fatigue, rapid heartbeat, irregular heartbeat, dizziness, shortness of breath, anxiety, weakness, confusion, faintness, sweating, chest pain, chest pressure, syncope, palpitations, and chest fluttering. Atrial arrhythmias occur when the upper chamber of the heart (atrium) beats irregularly and out of sync with the lower chamber of the heart (ventricle), resulting in an irregular heartbeat. Ventricular arrhythmias can also occur when the ventricle beats out of sync with the atrium, however, such arrhythmias differ significantly from atrial arrhythmias in their root cause, treatment, symptoms and mortality. As such, many treatments to suppress ventricular arrhythmias are ineffective in atrial arrhythmias (Ledan 2020). Specifically, drugs that slow electrical conductance are contra-indicated in ventricle arrhythmia patients due to increased risk of death (Friberg 2018).


Though atrial arrhythmias are not inherently life threatening, they increase the risk of blood clots and the risk of stroke by 5-fold (McRae, Kapoor et al. 2019). Without significant advances in either the treatment or prevention of atrial arrhythmias, this will also correspond with increases in hospitalization and stroke (Go, Hylek et al. 2001; Seo, Michie et al. 2020). Rhythm and rate control medications are common drug therapy treatments for atrial arrhythmias, however, they often fail and their use is limited by off target effects on blood pressure and heart function.


Given the limitation in treating and preventing atrial arrhythmias with current therapies, recent preclinical work has focused on biological therapies to target mechanisms thought to trigger atrial arrhythmias including reducing inflammation and modifying atrial electrophysiology (McRae, Kapoor et al. 2019; Seo, Michie et al. 2020).


Alternative, additional and/or improved treatments for atrial arrhythmias is desirable.


SUMMARY OF INVENTION

Traditionally, atrial arrhythmias are treated with drugs that control how the heart beats, restoring it to a normal rhythm. These drugs have modest efficacy and significant side effects, as well as waning suppression over time. Other treatment options include electrical cardioversion, catheter procedures and surgical procedures. Catheter ablation is commonly used, however, success rates vary considerably and serious complications are possible (Lycke, O'Neill et al. 2021). A limitation of current drug approaches is they may only target heart rate, however, this does not address others mechanisms that can potentially lead to atrial arrhythmias such as fibrosis, fibroblast proliferation and inflammation (Jost, Christ et al. 2021). Biological based treatment options are emerging to treat atrial arrhythmia, but to date have not translated into clinical trials.


Extracellular vesicles are naturally secreted, replication incompetent particles, bound by a lipid bilayer carrying heterogeneous constituents, including but not limited to organelles, nucleic acids, proteins, lipids, and metabolites, which may have the potential to target multiple mechanisms relevant to suppressing atrial arrhythmia. Extracellular vesicle composition varies across tissues, cells, and physiological parameters; therefore obtaining a composition effective in treatment of specific disorders has proved elusive, however, clinical trials have been initiated for several extracellular vesicle related therapeutics (Ciferri, Quarto et al. 2021). The inventors hypothesized that extracellular vesicles secreted by human heart cells may treat or prevent atrial fibrosis, and atrial inflammation, which in turn are thought to contribute to development of atrial arrhythmia. Accordingly, studies as described herein below were performed to investigate whether extracellular vesicles derived from human heart cells may provide treatment for atrial arrhythmias such as, for example, atrial fibrillation.


The teachings herein, provide compositions and methods comprising extracellular vesicles derived from human heart cells, as well as uses thereof in treating and preventing atrial arrhythmias, atrial inflammation, atrial fibrosis and atrial fibroblast proliferation.


In an embodiment, there is provided herein a composition comprising extracellular vesicles and a biologically or pharmaceutically acceptable adjuvant or carrier, said extracellular vesicles may comprise one or more of the following characteristics:

    • extracellular vesicles isolated from human heart cells;
    • a polydisperse population of particles ranging from about 1 nm to about 1000 nm, or any values defining a range therein;
    • one or more cytosolic markers defined by ALIX, any ANXA polypeptide, any ACT polypeptide, TSG101, any CHMP polypeptide, PDCD6IP, VPS4A, VPS4B, ARRDC1, any CAV polypeptide, any EHD polypeptide, RHOA, HSPA8, HSPA1A, any actin polypeptide, any tubulin polypeptide, GAPDH, HSP90AB1, ARF6, SDCBP, MAPT, HSC70, HSP70, HSP84, HSPA8 and TSG101, or a combination thereof;
    • one or more transmembrane markers defined by CD3, CD9, CD14, CD37, CD41, CD45, CD47, CD53, CD55, CD59, CD61, CD63, CD73, CD81, CD82, CD90, any GNA polypeptide, HLA-A, HLA-B, HLA-C, HLA-DR, HLA-DP, HLA-DQ, any H2-A polypeptide H2-K, H2-D, H2-Q, any ITGA polypeptide, any ITGB polypeptide, TFR2, LAMP1, LAMP2, any SDC polypeptide, BSG, ADAM10, SHH, TSPAN8, PECAMI, ERBB2, EPCAM, CDC42a, GYPA, AChE-S, AChE-E, AβA4, APP, ABCC1, FLOT1, FLOT2, ICAM1, EpCam, or a combination thereof,
    • acetylcholinesterase activity;
    • substantially lacking or devoid of one or more of the group comprising GM130, APOA1, APOA2, APOB, APOB100, ALB, ribosomal proteins, UMOD and protein/nucleic acid aggregates;
    • 1-1000 unique miRNA transcripts; and
    • a unit dosage of extracellular vesicles comprising from about 102 to about 1020 particles per millilitre, or any values defining a range therein.


In another embodiment of the composition above, the human heart cells may be autologous or allogenic to the subject receiving the composition.


In another embodiment of the compositions above, said extracellular vesicles may be absorbed by immune cells, said immune cells including, but not limited to, lymphocytes, T-cells, B-cells, NK cells, monocytes, macrophages, and neutrophils. In certain embodiments, said extracellular vesicles may decrease inflammasome activation. In certain embodiments, said extracellular vesicles may decrease immune cell inflammasome activation.


In another embodiment of any of the compositions above, the extracellular vesicles may be absorbed by human heart cells. In another embodiment, the human heart cells absorbing the extracellular vesicles may be cardiomyocytes, endothelial cells, immune cells and/or fibroblasts. In certain embodiments, absorption by human heart cells may be determined by transfer of protein from the extracellular vesicle to the human heart cells. It is contemplated that in certain embodiments, transfer of protein from the extracellular vesicle to the human heart cells may be the transfer of one or more proteins comprising: an exogenous protein, a fluorescent protein, a luminescent protein, a protein capable of producing a colorimetric response, a protein tagged with a group capable of fluorescence, a protein tagged with a group capable of luminescence, a protein tagged with a group capable of colorimetric response, a protein not detectable or absent from human heart cells or any combination thereof. In certain further embodiments, the protein tagged with a group capable of fluorescence may be CD63. In certain embodiments, the transfer of membrane lipids from the extracellular vesicle to the human heart cells may determine absorption by the human heart cells. In further embodiments, transfer of membrane lipids from the extracellular vesicle to the human heart cells may be measured using one or more techniques comprising: 1,1′-Dioctadecyl-3,3,3′,3′-Tetramethylindocarbocyanine Perchlorate (Dil), PKH67 PKH26, any fluorescent dye capable of membrane localization, any luminescent dye capable of membrane localization, any colourmetric dye capable of membrane localization, any functional equivalents and any combination thereof. In a still further embodiment, transfer of membrane lipids from the extracellular vesicle to the human heart cells may be measured using DiI.


In another embodiment of any compositions above, the human heart cells may be derived from a heart biopsy. In certain embodiments, the biopsy may contain one or more of the following heart layers: endocardial, myocardial, epicardial or any combination thereof. In another embodiment, the human heart cells may be derived from myocardial tissue. In certain embodiments, the human heart cells may be derived from an atrial appendage. In certain embodiments, the human heart cells may be derived from a left atrial appendage. In certain embodiments, the human heart cells may be derived from ventricular tissue. In certain embodiments, the human heart cells may be derived from an entire heart.


In another embodiment of any compositions above, extracellular vesicles may be isolated from one or more of the following: atrial explant derived stem cells, atrial explant derived cells, heart explant derived stem cells; human heart explant derived cells, heart explant derived cells; cardiac explant derived stem cells; cardiac explant derived cells; heart cells differentiated from induced pluripotent stem cells; heart cells differentiated from embryonic stem cells; or heart cells derived from any cell type capable of differentiation into heart cells.


In another embodiment of any compositions above, the human heart cells may be cryopreserved.


In another embodiment of any compositions above, said extracellular vesicles may be isolated from an immortalized cell line. In further embodiments of any compositions above, said extracellular vesicles may be isolated from immortalized heart explant derived cells. In certain embodiments, heart explant derived cells may be immortalized with one or more of the following: viral gene, viral gene product, genetic mutation, telomerase reverse transcriptase expression, SV40, or equivalent techniques.


In another embodiment of any compositions above, the human heart cells may have been grown in vitro. In a further embodiment, the human heart cells may have been expanded in vitro. In a still further embodiment, the human heart cells may have been grown in vitro using Good Manufacturing Practices (GMP) conditions comprising:

    • controlled physiological cell culture conditions, said conditions comprising continuous atmosphere around 5% oxygen, and around 5% carbon dioxide, relative humidity around 80% RH, and temperature around 37° C.;
    • serum-free, xenogen-free growth media; and
    • extracellular vesicle depleted fetal bovine serum.


In certain embodiments, the human heart cells may have been expanded in vitro using GMP conditions. In another embodiment, the human heart cells may have been expanded in vitro using a GMP compliant enzyme to disassociate cells from culture plates, wherein said enzyme may be one or more of TrypLE™ Select, collagenase I and collagenase II.


In another embodiment of any compositions above, the extracellular vesicles may be isolated after about 1 hour to about 196 hours incubation. In certain embodiments, the extracellular vesicles may be isolated after about 48 hours incubation, or more.


In another embodiment of any compositions above, the composition may be substantially immunologically inert.


In another embodiment of any compositions above, the extracellular vesicles may be a polydisperse population of particles ranging from about 75 nm to about 500 nm, any values defining a range therein, for example, but not limited to about 95 nm to about 250 nm. In certain embodiments, the extracellular vesicles may be a polydisperse population that comprises an average diameter of about 75 nm to about 200 nm. In further embodiments, the extracellular vesicles may be a polydisperse population that comprises an average diameter of about 132 nm.


In another embodiment of any compositions above, the one or more cytosolic markers may be ALIX, ANXA5 and TSG101, or any combination thereof.


In another embodiment of any compositions above, the one or more transmembrane markers may be CD9, CD61, CD63, CD81, FLOT1, ICAM1, EpCam, or any combination thereof. In further embodiments, CD81 may be expressed on an equal or fewer number of particles than particles expressing CD9 or CD63. In certain further embodiments, CD81 may be expressed on about half or fewer the number of particles compared to the number of particles expressing CD63.


In another embodiment of any compositions above, acetylcholinesterase activity may be measured using FluoroCet Exosome Quantitation kit or equivalent methodology. In certain embodiments, acetylcholinesterase activity may be used to quantify extracellular vesicle particle number.


In another embodiment of any compositions above, the extracellular vesicles may be substantially lacking or devoid of GM130.


In another embodiment of any compositions above, the miRNA may be 10-250 unique transcripts. In certain embodiments, the miRNA may be 60-85 unique transcripts. In further embodiments, the miRNA may be one or more of miR-23a-3p, miR-199a-3p+miR-199b-3p, miR-4454+miR-7975, let-7a-5p, let-7b-5p, miR-125b-5p, miR-100-5p, miR-29b-3p, miR-21-5p, miR-191-5p, miR-199b-5p, miR-29a-3p, miR-22-3p, let-7i-5p, miR-181a-5p, miR-25-3p, miR-127-3p, let-7g-5p, miR-15b-5p, miR-320e, miR-221-3p, let-7d-5p, miR-16-5p, miR-424-5p, miR-3180, miR-374a-5p, miR-15a-5p, miR-130a-3p, miR-376a-3p, miR-199a-5p, miR-222-3p, miR-4286, miR-4516, miR-34a-5p, miR-1255a, miR-365a-3p+miR-365b-3p, miR-323a-3p, let-7c-5p, miR-27b-3p, miR-134-3p, miR-451a, miR-23b-3p, miR-423-5p, miR-28-5p, miR-125a-5p, miR-24-3p, miR-382-5p, miR-1228-3p, miR-20a-5p+miR-20b-5p, let-7e-5p, miR-18a-5p, miR-337-5p, miR-320e, miR-106a-5p+miR-l7-5p, miR-19b-3p, miR-140-5p, let-7f-5p, miR-323a-5p, miR-148a-3p, miR-132-3p, miR-136-5p, miR-376c-3p, miR-379-5p, miR-26a-5p, miR-202-3p, miR-1290, miR-154-5p, miR-214-3p, miR-377-3p, miR-381-3p, miR-188-5p, miR-26b-5p, miR-363-3p, miR-337-3p, miR-137, miR-1973, miR-193a-5p+miR-193b-5p, miR-411-5p, a functional equivalent or a combination thereof. In certain embodiments, the miRNA transcripts may be substantially lacking or devoid of one or more of miR-1, miR-133, miR-328, miR-590 or any combination thereof. In certain embodiments, the miRNA transcripts may be substantially lacking or devoid of one or more of miR-210, miR-146a or a combination thereof.


In another embodiment of any compositions above, the unit dosage of extracellular vesicles may be 108-1015 particles per millilitre. In a further embodiment, the unit dosage of extracellular vesicles may be 1010 particles per millilitre.


In another embodiment of any compositions above, the unit dosage of extracellular vesicles may be 102-1020 particles.


In another embodiment, any compositions above may be for use in the treatment of atrial arrhythmia. In an embodiment the atrial arrhythmia may be selected from a group consisting of atrial fibrillation, post-operative atrial fibrillation, post-infarction atrial fibrillation, thyrotoxicosis, post-viral atrial fibrillation, alcohol-associated atrial fibrillation, drug-induced atrial fibrillation, viral atrial fibrillation, post-viral atrial fibrillation, COVID-19 atrial fibrillation, post-COVID-19 atrial fibrillation, paroxysmal atrial fibrillation, permanent atrial fibrillation, persistent atrial fibrillation, long-term persistent atrial fibrillation, atrial tachycardia, atrial flutter, familial atrial fibrillation, idiopathic atrial fibrillation, lone atrial fibrillation, and any orphan atrial arrhythmia.


In certain embodiments of any compositions above, said extracellular vesicles may be delivered systemically. In other embodiments, said extracellular vesicles may be delivered locally. In certain embodiments, said extracellular vesicles may be delivered intra-myocardially. In certain embodiments, said extracellular vesicles may be delivered intra-atrially. In certain embodiments, said extracellular vesicles may be delivered by catheter. In another embodiment, said extracellular vesicles may be delivered by central venous access device. In another embodiment, said extracellular vesicles may be delivered by peripherally inserted central catheters.


In another embodiment of any compositions above, said extracellular vesicles may reduce or prevent atrial inflammation. In certain embodiments, reduction of atrial inflammation may be quantified histologically, comprising a reduced number of inflammatory cells in the atria of the heart when compared to an untreated subject. In further embodiments, the number of inflammatory cells in the atria may be quantified using one or more markers comprising: hematoxylin and eosin staining, activated T lymphocytes, macrophage infiltration, macrophage polarization, mast cells, neutrophils or any combination thereof. In certain embodiments, said histological reduction in the number of inflammatory cells in the atria may comprise a decrease in the inflammatory cells in the atria ranging from about 1% to about 100% when compared to an untreated subject. In another embodiment, said reduction in atrial inflammation may be a reduced level of cytokines in the heart when compared to an untreated subject.


In certain embodiments, one or more of said cytokines comprising: IL-1, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12, IL-11, IL-13, IL-16, IL-17, IL-18, G-CSF, GM-CSF, MCP-1, PDGF-AB, TNF-α, any type I IFN, any type II IFN, any type III IFN or any combination thereof. In another embodiment, said reduction in cytokine level may be quantified using multiplex Luminex® assays, comprising a decrease in one or more of the cytokines by 1% to about 100% amount when compared to an untreated subject. In another embodiment, said reduction in cytokine level may be quantified using enzyme-linked immunosorbent assay (ELISA), comprising a decrease in one or more of the cytokines by 1% to about 100% amount when compared to an untreated subject.


In another embodiment of any of the above compositions, said extracellular vesicles may reduce or prevent atrial fibrosis. In certain embodiments, said composition may reduce atrial fibrosis by decreasing atrial collagen level when compared to an untreated subject, wherein atrial collagen level may be quantified using hydroxyproline comprising a decrease in hydroxyproline level by about 1% to about 100% when compared to an untreated subject.


In another embodiment of any of the above compositions, said extracellular vesicles may reduce atrial fibroblast proliferation. In certain embodiments, said reduction of atrial fibroblast proliferation may be a decrease in relative atrial fibroblast cell number over time when compared to an untreated subject comprising a decrease in relative atrial fibroblast cell number over time by about 1% to about 100% when compared to the untreated subject. In certain embodiments, reduction of atrial fibroblast proliferation may comprise a decrease in the number of cells in S-phase of the cell cycle when compared to untreated subjects. In other embodiments, the number of cells in S-phase of the cell cycle may be measured using one or more of the following: flow cytometry, western blot, ELISA, bromodeoxyuridine (BrDU), 5-ethynyl-2′deoxyuridine (EdU), phosphorylation of the retinoblastoma protein, cyclin D, cyclin E, cyclin A, cyclin B, any equivalent methods or any combination thereof. In further embodiments, a decrease in the number of cells in S-phase of the cell cycle may comprise about 1% to about 100% when compared to untreated subjects.


In certain embodiments, said reduction of atrial fibroblast proliferation may be an increase in the number of cells in G0 or G1 of the cell cycle when compared to an untreated subject, wherein the number of cells in G0 or G1 of the cell cycle may be measured using one or more of the following: flow cytometry, western blot, ELISA, Ki67, BrDU, EdU, propidium iodide, phosphorylation of the retinoblastoma protein, cyclin D, cyclin E, any equivalent methods or combination thereof, comprising an increase by about 1% to about 100% or more, when compared to an untreated subject.


In certain embodiments, said reduction of atrial fibroblast proliferation may comprise a decrease in the number of cells in G2 or M phase of the cell cycle when compared to untreated subjects, wherein said decrease in the number of cells in G2 or M phase of the cell cycle when compared to untreated subjects is measured using one or more of the following: flow cytometry, western blot, ELISA, phosphorylation of histone H3, propidium iodide, cyclin B, cyclin B, cyclin A, cyclin D, CDK1, CDK2, DAPI. Hoechst, Ki67, any equivalent methods or combination thereof, comprising a decrease by about 1% to about 100% when compared to an untreated subject. In some embodiments, atrial fibroblast proliferation may be measured in vitro. In some embodiments, atrial fibroblast proliferation may be measured in vivo.


In another embodiment of any of the compositions above, reduction of atrial fibroblast proliferation may comprise a decrease in transcription of positive cell cycle regulatory genes when compared to an untreated subject. In another embodiment of any of the compositions above, reduction of atrial fibroblast proliferation may comprise an increase in transcription of negative cell cycle regulatory genes when compared to an untreated subject.


In another embodiment of any of the compositions above, said extracellular vesicles may reduce the relative mass of the atria when compared to an untreated subject, comprising comparing the ratios of atrial mass to total body mass (relative mass=atrial mass/total body mass) between a subject treated with the extracellular vesicles and the untreated subject, said reduction may comprise a relative mass of about 1% to about 100% less when compared to an untreated subject.


In another embodiment of any of the compositions above, said biologically or pharmaceutically acceptable adjuvant or carrier may be appropriate for systemic delivery. In certain embodiments, said biologically or pharmaceutically acceptable adjuvant or carrier may be appropriate for local delivery. In other embodiments, said biologically or pharmaceutically acceptable adjuvant or carrier may be appropriate for intra-myocardial delivery. In other embodiments, said biologically or pharmaceutically acceptable adjuvant or carrier may be appropriate for intra-atrial delivery. In other embodiments, said biologically or pharmaceutically acceptable adjuvant or carrier may be appropriate for catheter delivery.


In another embodiment of any of the compositions above, said extracellular vesicles may improve one or more symptoms including general fatigue, rapid heartbeat, irregular heartbeat, dizziness, shortness of breath, anxiety, syncope, heart failure, neck pounding, weakness, confusion, faintness, sweating, chest pain, chest pressure, chest fluttering, or any combination thereof. In certain embodiments, said extracellular vesicles may reduce the duration of atrial fibrillation, where said reduced duration of atrial fibrillation is determined using electrocardiogram, continuous electrocardiogram monitor, blood pressure machine, Holter monitor, event monitor, blood tests, echocardiogram, stress test, chest x-ray, smart watch, smart ring, any wearable technology capable of determining heart rate, any equivalent techniques or any combination thereof.


In another embodiment of any of the compositions above, said extracellular vesicles may reduce the incidence of atrial fibrillation, where said reduced incidence of atrial fibrillation is determined using electrocardiogram, continuous electrocardiogram monitor, blood pressure machine, Holter monitor, event monitor, blood tests, echocardiogram, stress test, chest x-ray, smart watch, smart ring, any wearable technology capable of determining heart rate, any equivalent techniques or any combination thereof.


In another embodiment of any of the compositions above, wherein said extracellular vesicles may be solubilized by the addition of a detergent, comprising a solution of about 0.01% to about 10.0% Triton™ X-100, wherein solubilisation may be measured by a decrease in the extracellular vesicle particle number compared to a sample not treated with the detergent.


In another embodiment, there is provided herein a method for the treatment or prevention of atrial arrhythmia, wherein the method may comprise administering any of the compositions above to a subject in need thereof.


In another embodiment, there is provided herein a method for the reduction or prevention of atrial fibrosis, wherein the method may comprise administering any of the compositions above to a subject in need thereof.


In another embodiment, there is provided herein a method for the reduction or prevention of atrial inflammation, wherein the method may comprise administering any of the compositions above to a subject in need thereof.


In another embodiment, there is provided herein a method for the reduction or prevention of atrial fibroblast proliferation, wherein the method may comprise administering any of the compositions above to a subject in need thereof.


In another embodiment of any of the above methods, said atrial arrhythmia may be diagnosed with one or more techniques including electrocardiogram, continuous electrocardiogram monitor, blood pressure machine, Holter monitor, event monitor, blood tests, echocardiogram, stress test, chest x-ray, smart watch, smart ring, any wearable technology capable of determining heart rate, any equivalent techniques or any combination thereof. In another embodiment, said subject with atrial arrhythmia may have one or more symptoms including general fatigue, rapid heartbeat, irregular heartbeat, dizziness, shortness of breath, anxiety, syncope, heart failure, neck pounding, weakness, confusion, faintness, sweating, chest pain, chest pressure, chest fluttering, or any combination thereof.


In another embodiment of any of the above methods, said extracellular vesicles may be administered systemically. In certain embodiments, said extracellular vesicles may be administered locally. In certain embodiments, said extracellular vesicles may be administered intra-myocardially. In certain embodiments, said extracellular vesicles may be administered intra-atrially. In another embodiment, local administration may comprise injection. In certain embodiments, injection may comprise 1 to 500 injections. In further embodiments, local administration comprising injection may comprise an injection about every 0.10 cm2 to about every 10.00 cm2, wherein surface area may be based on the tissue being injected, for example, the surface area of the atria of the heart, the surface area of the left atrium of the heart, the surface area of the right atrium, the surface area of the ventricles of the heart, the surface area of the left ventricle of the heart, the surface area of the right ventricle of the heart, or the surface area of the entire heart. In a preferred embodiment, intra-atrially administration may comprise injection, which may further comprise 1 to 500 injections, wherein intra-atrially administration may comprise injection about every 0.10 cm2 to about every 10.0 cm2 of atrial surface area.


In another embodiment of any of the above methods, said extracellular vesicles may be administered by catheter. In certain embodiments, said extracellular vesicles may be administered by catheter in the small vessels that perfuse the atria. In certain embodiments, said extracellular vesicles may be administered using a biomaterial that surrounds the atria.


In another embodiment of any of the above methods, said extracellular vesicles may reduce atrial inflammation. In certain embodiments, said reduction of atrial inflammation may be quantified histologically, comprising a reduced number of inflammatory cells in the atria of the heart when compared to an untreated subject. In certain embodiments, the number of inflammatory cells in the atria is quantified using one or more markers may comprise: hematoxylin and eosin staining, activated T lymphocytes, macrophage infiltration, macrophage polarization, mast cells, neutrophils or any combination thereof. In certain embodiments, said histological reduction in the number of inflammatory cells in the atria may comprise a decrease in the inflammatory cells in the atria ranging from about 1% to about 100% when compared to an untreated subject. In certain embodiments, reduction in atrial inflammation may be a reduced level of cytokines in the heart when compared to an untreated subject, wherein one or more of said cytokines comprising: IL-10, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12, IL-11, IL-13, IL-16, IL-17, IL-18, G-CSF, GM-CSF, MCP-1, PDGF-AB, TNF-α, any type I IFN, any type II IFN, any type III IFN or any combination thereof. In certain embodiments, said reduction in cytokine level may be quantified using multiplex Luminex-based assay or equivalent technique, and may comprise a decrease in one or more of the cytokines by about 1% to about 100% when compared to an untreated subject.


In another embodiment of any of the above methods, said extracellular vesicles may reduce atrial fibrosis. In certain embodiments, said extracellular vesicles may reduce atrial fibrosis by decreasing atrial collagen, wherein atrial collagen level may be quantified using hydroxyproline, any equivalent or any combination thereof, comprising a decrease in hydroxyproline level of about 1% to about 100% when compared to an untreated subject. It is contemplated, that in certain embodiments, atrial fibrosis may be quantified by comparing the ratios of atrial mass to total body mass (relative mass=atrial mass/total body mass) between a subject treated with the extracellular vesicles and an untreated subject, wherein greater values indicate increased fibrosis and lesser values indicate decreased fibrosis In another embodiment of any of the above methods, said extracellular vesicles may reduce atrial fibroblast proliferation. In certain embodiments, said reduction of atrial fibroblast proliferation may comprise a decrease in the number of cells in S-phase of the cell cycle when compared to untreated subjects, wherein the number of cells in S-phase of the cell cycle may be measured using one or more of the following: flow cytometry, western blot, ELISA, bromodeoxyuridine (BrDU), 5-ethynyl-2′deoxyuridine (EdU), any nucleoside analogue, phosphorylation of the retinoblastoma protein, cyclin D, cyclin E, cyclin A, cyclin B, any equivalent methods or any combination thereof, comprising a decrease in the number of cells in S-phase of the cell cycle by about 1% to about 100% when compared to untreated subjects. In certain embodiments, said reduction of atrial fibroblast proliferation may comprise a decrease in the number of cells in S-phase of the cell cycle when compared to untreated subjects is measured using flow cytometry or equivalent methods. In certain other embodiments, said reduction of atrial fibroblast proliferation may be an increase in number of cells in G0 or G1 of the cell cycle when compared to an untreated subject, wherein the number of cells in G0 or G1 of the cell cycle may be measured using one or more of the following: flow cytometry, western blot, ELISA, Ki67, BrDU, EdU, propidium iodide, phosphorylation of the retinoblastoma protein, cyclin D, cyclin E, any equivalent methods or any combination thereof, wherein said increase in the number of cells in G0 or G1 of the cell cycle may comprise an increase by about 1% to about 100% or more, when compared to an untreated subject. In certain other embodiments, reduction of atrial fibroblast proliferation may comprise a decrease in the number of cells in G2 or M phase of the cell cycle when compared to untreated subjects, wherein said decrease in the number of cells in G2 or M phase of the cell cycle when compared to untreated subjects may be measured using one or more of the following: flow cytometry, western blot, ELISA, phosphorylation of histone H3, propidium iodide, cyclin B, cyclin B, cyclin A, cyclin D, CDK1, CDK2, DAPI. Hoechst, Ki67, any equivalent methods or combination thereof, comprising a decrease by about 1% to about 100% when compared to an untreated subject.


In another embodiment of any of the methods above, reduction of atrial fibroblast proliferation may comprise a decrease in transcription of positive cell cycle regulatory genes when compared to an untreated subject. In another embodiment of any of the methods above, reduction of atrial fibroblast proliferation may comprise an increase in transcription of negative cell cycle regulatory genes when compared to an untreated subject.


In another embodiment of any of the methods above, said extracellular vesicles may improve one or more symptoms including general fatigue, rapid heartbeat, irregular heartbeat, dizziness, shortness of breath, anxiety, weakness, confusion, faintness, sweating, chest pain, chest pressure, chest fluttering or any combination thereof. In certain embodiments, said extracellular vesicles may reduce the duration of atrial fibrillation, where said reduced duration of atrial fibrillation may be determined using electrocardiogram, continuous electrocardiogram monitor, blood pressure machine, Holter monitor, event monitor, blood tests, echocardiogram, stress test, chest x-ray, smart watch, smart ring, any wearable technology capable of determining heart rate, any equivalent techniques or any combination thereof. In certain embodiments, said extracellular vesicles may reduce the incidence of atrial fibrillation where said reduced incidence of atrial fibrillation may be determined using electrocardiogram, continuous electrocardiogram monitor, blood pressure machine, Holter monitor, event monitor, blood tests, echocardiogram, stress test, chest x-ray, smart watch, smart ring, any wearable technology capable of determining heart rate, any equivalent techniques or any combination thereof.


In yet another embodiment there is provided herein a method, use, cell, kit, or composition as described anywhere herein.





BRIEF DESCRIPTION OF DRAWINGS


FIG. 1 shows the experimental design for derivation of extracellular vesicles (EVs) from heart explant derived cells, use of said extracellular vesicles in a rodent model of atrial arrhythmia and analysis of the impact of the EVs on atrial inflammation, atrial fibrosis and atrial fibrillation.



FIG. 2 shows an exemplary proteomic array demonstrating presence of transmembrane markers (CD63, CD81, FLOT1, ICAM1, EpCam) and cytosolic markers (ALIX, ANXA5 and TSG101) indicative of EV identity while lacking cellular contaminants (GM130).



FIG. 3A-C shows the diameter and abundance of extracellular vesicles derived from human heart cells. (A) Flow cytometry demonstrating the relationship between EV size and surface marker expression (n=3 biological replicates). (B) Quantification of concentration (EVs/mL) of extracellular vesicles expressing the surface markers CD81, CD9 or CD63 (n=3 biological replicates). One-way ANOVA with individual-mean comparisons by Bonferroni's multiple two-tailed comparisons test. (C) Quantification of diameter (nm) of extracellular vesicles expressing the surface markers CD81, CD9 or CD63 (n=3 biological replicates). One-way ANOVA with individual-mean comparisons by Bonferroni's multiple two-tailed comparisons test.



FIG. 4 shows representative flow cytometry images showing the relationship between EV diameter and surface marker expression. EVs within a range of 100-500 nm in diameter are gated. Fluorescence intensity is quantified using standard units known as Molecules of Equivalent Soluble Fluorochrome (MESF).



FIG. 5A-B shows miRNA abundance within extracellular vesicles derived from human heart cells. (A) The miRNA content within EDC EVs was profiled using multiplex fluorescent oligonucleotide-based miRNA detection. Relative abundance of microRNA transcripts within EDC EVs is shown (n=3 biological replicates). (B) Pathway analysis of microRNA transcripts within EDC EVs is shown. Pathway analysis terms were extracted from the Reactome database for network analysis. EV, extracellular vesicles; FDR, false discovery rate; miR, microRNA.



FIG. 6 shows the relative abundance of proteins within extracellular vesicles derived from human heart cells (n=3 biological replicates).



FIG. 7 shows human heart explant-derived cells cultured under serum-free xenogen-free culture conditions within a clinical cell manufacturing facility to produce extracellular vesicles that contain anti-fibrotic/anti-inflammatory proteins. An enrichment map of the EDV EV proteome demonstrating the relationship between biological pathways that are expressed more than would be expected by chance is shown. Red nodes indicate pathways that are predicted to have a positive effect while blue nodes indicate pathways predicted to have a negative effect. ECM, extracellular matrix; MMP2, matrix metalloprotease 2.



FIG. 8 shows flow cytometry quantification of in vitro uptake of 1,1′-Dioctadecyl-3,3,3′,3′-Tetramethylindocarbocyanine Perchlorate (Dil) labelled EVs by rat atrial fibroblasts, cardiomyocytes and human umbilical vein endothelial cells. Cardiomyocytes, red line with squares; endothelial cells, black line with triangles; fibroblasts, blue line with circles.



FIG. 9 shows a study schematic demonstrating the study design, numbers of animals included, group allocations and outcomes measured for determining the effect of human heart cell derived extracellular vesicles in a rodent model of atrial arrhythmia.



FIG. 10 shows representative tracings from an electrocardiogram (ECG) showing the effect of EV treatment on talc-treated animals after burst pacing. EV, extracellular vesicles; veh, vehicle



FIG. 11 shows the effect of EV treatment on the probability of inducing atrial fibrillation (AF) after burst pacing. Superimposed numbers indicate the absolute number of female (lower grey bar+number) or male (upper black bar+number) animals that went into AF. Logistic regression using a generalized linear model with binomial probability distribution and the logit link function was performed. AF, atrial fibrillation; EV, extracellular vesicles; veh, vehicle.



FIG. 12 shows the effect of EV treatment on the mean duration of AF episodes (n=2-25). AF, atrial fibrillation; EV, extracellular vesicles; veh, vehicle.



FIG. 13A-B shows the effect of EV treatment on atrial fibrosis and structure. (A) Atrial fibrosis was measured using hydroxyproline for the indicated experimental groups (n=10). One-way ANOVA with individual-mean comparisons by Bonferroni's multiple two-tailed comparisons test. (B) Relative atrial mass was measured using a ratio of atrial weight to body weight for the indicated experimental groups (n=10-15). One-way ANOVA with individual-mean comparisons by Bonferroni's multiple two-tailed comparisons test. AF, atrial fibrillation; EV, extracellular vesicles; veh, vehicle.



FIG. 14A-B shows the effect of human heart extracellular vesicles (EVs) on inflammation. (A) Representative images of atrial tissue sections after hematoxylin and eosin staining showing the effect of talc and EVs on inflammatory cell infiltration. (B) Quantitative analysis of hematoxylin and eosin staining showing the effect of talc and EVs on inflammatory cell infiltration (n=5 biological replicates).



FIG. 15 shows the effect of talc and EVs on ILβ, IL2, IL6, IL18, monocyte chemoattractant protein 1 (MCP1), platelet-derived growth factor AB (PDGF-AB) and tumor necrosis factor alpha (TNFα) level (n=5 biological replicates). IL, interleukin.



FIG. 16 shows the effect of human heart extracellular vesicles (EVs) on atrial fibroblast proliferation. (A) Shows the effect of heart explant-derived cell (EDC) EVs on relative cell number. (B) Shows the effect of heart explant-derived cell (EDC) EVs on population doubling time.



FIG. 17 shows the effect of heart explant-derived cell (EDC) extracellular vesicles (EVs) on atrial fibroblast proliferation. Representative images showing 5-ethynyl-2′-deoxyuridine (EDU, shown in green) and 4′,6-diamidino-2-phenylindole (DAPI, shown in blue) atrial fibroblasts at baseline and after treatment with interleukin 6 (IL6), transforming growth factor beta 1 (TGFβ1) and/or EDC EVs. Scale bar 200 μM.



FIG. 18 shows quantification of the nuclear incorporation of the thymidine analogue 5-ethynyl-2′-deoxyuridine (EdU) within atrial fibroblasts at baseline and after treatment with interleukin 6 (IL6), transforming growth factor beta 1 (TGFβ1), and/or EDC EVs (n=5 biological replicates).



FIG. 19 shows cell cycle analysis showing the effect of anaphase-promoting complex (APC), IL6, TGFβ1 and/or EDC EVs on the proportion of atrial fibroblasts in the G0/G1 or S and G2/M phases of the cell cycle (n=5 biological replicates). (A) Shows pie charts illustrating the proportion of cells in G0/G1 (Blue), S (Red) or G2/M (Grey) phases of the cell cycle. (B) Shows the percentage of cells in G0/G1 phases of the cell cycle. (C) Shows the percentage of cells in S+G2/M of the cell cycle.



FIG. 20 shows the effect of IL6, TGFβ1 and/or EDC EVs on proteomic expression of cyclins that control progression of atrial fibroblasts through the cell cycle (n=3 biological replicates). Cyclin A2, Cyclin B1, Cyclin D and Cyclin E protein level was determined using enzyme-linked immunosorbent assay (ELISA).



FIG. 21 shows representative images of flow cytometry demonstrating EV depletion after solubilisation. The addition of 0.1% Triton X¬100 solubilizes CD63 stained EVs. Number inside the gates represent percentage of gated population within all particles detected. PE MSEF, Phycoerythrin Molecules of Equivalent Soluble Fluorochrome.



FIG. 22 shows the in vivo study conduct and group sizes. It was assumed the incidence of atrial fibrillation (AF) would be 0.6 after talc treatment, and that extracellular vesicle (EV) treatment would reduce AF incidence to 0.2. Sex was assumed not to alter the incidence of inducible AF. Based on these assumptions, group sample sizes of 34 rats (17 female+17 male) would achieve an 83% power to detect superiority using a two-sided Mann-Whitney test (probability of a false positive result (alpha error)=0.05). Animals that died because of anesthetic overdose prior to the second procedure were not included in the analysis. An allocation error resulted in 1 additional female rat receiving EVs. To avoid compromising the data, the animal was included in the analysis. Given that recipient sex did not influence occurrence of the primary outcome (i.e., AF inducibility), secondary outcomes (e.g., histology, fibrosis, etc.) were not analyzed separately for recipient sex. EPS, electrophysiological study, EV, extracellular vesicle, veh, vehicle.



FIG. 23 shows the effect of human heart derived EVs on inflammasome activation using a luciferase reporter for caspase-1 activation. THP-1 cells were differentiated for 3 days with phorbol 12-myristate 13-acetate (PMA). Medium was replaced and EVs were added followed by lipopolysaccharide (LPS). Half of the medium was removed after 3 hours and luciferase emission was tested with vehicle or the caspase inhibitor, YVAD-CHO. RLU, relative light units.



FIG. 24 shows the effect of the dosage of human heart derived EVs on atrial fibrillation, fibrosis and inflammation. (A) Probability of atrial fibrillation (>0.5 seconds) was measured after burst pacing with the indicated EV concentrations. Logistic regression using a generalized linear model with binomial probability distribution and the logit link function was performed. (B) Atrial fibrosis was measured using hydroxyproline for the indicated experimental groups. ANOVA with Tukey's multiple comparison test. (C) Inflammation of atria treated with human heart derived EVs as indicated was measured using enzyme-linked immunosorbent assay. ANOVA followed by Tukey's multiple comparison test. IL, interleukin; MCP, monocyte chemoattractant protein; PDGF, platelet-derived growth factor.



FIG. 25 shows the effect of human heart derived EVs and the effect of colchicine on atrial fibrillation, fibrosis and inflammation. (A) Probability of atrial fibrillation (>0.5 seconds) was measured after burst pacing with the indicated treatment. Logistic regression using a generalized linear model with binomial probability distribution and the logit link function was performed. (B) Atrial fibrosis was measured using hydroxyproline for the indicated experimental groups. ANOVA with Tukey's multiple comparison test. (C) Inflammation of atria treated as indicated was measured using enzyme-linked immunosorbent assay. ANOVA followed by Tukey's multiple comparison test. IL, interleukin; MCP, monocyte chemoattractant protein.



FIG. 26 shows the effect of human heart derived EVs on infarction induced atrial fibrillation. Atrial fibrillation (>0.5 seconds) was measured for the indicated groups. Logistic regression using a generalized linear model with binomial probability distribution and the logit link function was performed.



FIG. 27 shows the uptake of human heart derived EVs. Flow cytometry showing uptake of labelled EVs by macrophages (Raw 264.7), primary cultured rat atrial fibroblasts (AF), human umbilical vein endothelial cells (HUVECs), primary human pulmonary microvascular endothelial cells (HPMEC), neo-natal rat ventricular myocytes (NRVMs), hepatic G2 cells (HepG2), and human embryonic kidney cells (HEK);



FIG. 28 shows the experimental design for the derivation of extracellular vesicles (EVs) from the indicated tissues, and the steps for miRNA and protein profiling from the EVs therefrom;



FIG. 29A-B shows (A) exemplary plots of tracking analysis of EVs and (B) the concentration and size of EVs isolated from the indicated cell types;



FIG. 30 shows an exemplary proteomic array demonstrating presence of transmembrane markers (CD63, CD81, FLOT1, ICAM1, EpCam) and cytosolic markers (ALIX, ANXA5 and TSG10) indicative of EV identity while lacking cellular contaminants (GM130);



FIG. 31A-C shows EV miRNA cargo profiles across tissues. (A) Venn diagram showing distinct number of miRNAs identified in three cell types. (B) Venn diagram showing the distinct highly abundant (above 99th percentile) miRNAs between cell types. (C) Rank order plots showing distinct number of miRNAs identified in three cell types. The highly abundant (above 99th percentile) miRNAs are highlighted on the rank order plots. Data are presented as mean values, n=3 biological replicates; each circle on the rank order plots represents one distinct miRNA. miRNA: microRNA, BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 32A-C shows EV protein cargo profiles across tissues. (A) Venn diagram showing distinct number of proteins identified in three cell types. (B) Venn diagram showing the distinct highly abundant (above 99th percentile) proteins between cell types. (C) Rank order plots showing distinct number of proteins identified in three cell types. The highly abundant (above 99th percentile) proteins are highlighted on the rank order plots. Data are presented as mean values, n=3 biological replicates; each circle on the rank order plots represents one distinct protein. LFQ: label-free quantitation; BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 33 shows differential expression analysis of EV miRNA cargo of HDC vs BM MSC. miRNAs were considered differentially expressed with a log 2 fold change ≥ or ≤1.5 and p-value<0.05. Volcano plot showing 20 down regulated and 36 upregulated miRNA transcripts and heatmap showing the significant differentially expressed miRNAs in HDC vs. BM-MSC EVs. The list of differentially expressed miRNAs is provided in TABLE 3. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells;



FIG. 34 shows differential expression analysis of EV miRNA cargo of BM MSC vs UC MSC. miRNAs were considered differentially expressed with a log 2 fold change ≥ or ≤1.5 and p-value <0.05. Volcano plot showing 12 down regulated and 164 upregulated miRNA transcripts and heatmap showing the significant differentially expressed miRNAs in BM-MSC vs. UC-MSC EVs. The list of differentially expressed miRNAs is provided in the TABLE 4. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 35 shows differential expression analysis of EV miRNA cargo of HDC vs UC MSC. miRNAs were considered differentially expressed with a log 2 fold change ≥ or ≤1.5 and p-value <0.05. Volcano plot showing 15 down regulated and 299 upregulated miRNA transcripts and heatmap showing the significant differentially expressed miRNAs in HDC vs. UC-MSC EVs. The list of differentially expressed miRNAs is provided in the TABLE 5. n=3 biological replicates. HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells;



FIG. 36 shows differential protein expression analysis of EV cargo in HDC vs BM MSC. Proteins identified in at least 2 of 3 replicates were considered for analysis. The proteins were considered differentially expressed with a p-value <0.05. Volcano plot showing 9 down regulated and 14 upregulated proteins and heatmap showing the significant differentially expressed proteins in HDC vs. BM-MSC EVs. The list of differentially expressed proteins is provided in TABLE 6. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells;



FIG. 37 shows differential protein expression analysis of EV cargo in BM MSC vs UC MSC. Proteins identified in at least 2 of 3 replicates were considered for analysis. The proteins were considered differentially expressed with a p-value <0.05. Volcano plot showing 198 down regulated and 107 upregulated proteins and heatmap showing the significant differentially expressed proteins in BM-MSC vs. UC-MSC EVs. The list of differentially expressed proteins is provided in TABLE 7. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 38 shows differential protein expression analysis of EV cargo in HDC vs UC MSC. Proteins identified in at least 2 of 3 replicates were considered for analysis. The proteins were considered differentially expressed with a p-value <0.05. Volcano plot showing 141 down regulated and 119 upregulated proteins and heatmap showing the significant differentially expressed proteins in HDC vs. UC-MSC EVs. The list of differentially expressed proteins is provided in TABLE 8. n=3 biological replicates. HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 39A-B shows a functional enrichment analysis of differentially expressed EV miRNA cargo of HDC vs BM MSC. (A) The top 10 significantly enriched biological functions and Gene ontology biological processes of all differentially expressed miRNAs (DEM)s between HDC vs BM MSC. (B) The top 10 significantly enriched biological functions of enriched miRNAs in HDC in comparison to BM MSC, and BM MSC in comparison to HDC. n=3 biological replicates. Activ: Activity, BM-MSC: Bone marrow derived mesenchymal stromal cells, Dev: Development, Diff: Differentiation, HDC: Heart derived cells, MET: Mesenchymal-epithelial transition, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 40A-B shows a functional enrichment analysis of differentially expressed EV miRNA cargo of HDC vs BM MSC. (A) The top 10 significantly enriched transcription factor & tissue specificity of all differentially expressed miRNAs (DEM)s between HDC vs BM MSC. (B) The top 10 significantly enriched transcription factor & tissue specificity of enriched miRNAs in HDC in comparison to BM MSC, and BM MSC in comparison to HDC. n=3 biological replicates. In a case the analysis yielded less than 10 enriched terms, all the terms are shown the in graphs. BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 41A-B shows a functional enrichment analysis of differentially expressed EV miRNA cargo of BM MSC vs UC MSC. (A) The top 10 significantly enriched biological functions and Gene ontology biological processes of all differentially expressed miRNAs (DEM)s among BM MSC vs UC MSC. (B) The top 10 significantly enriched biological functions of enriched miRNAs in BM USC in comparison to UC MSC, and UC MSC in comparison to BM MSC. n=3 biological replicates. Activ: Activity, BM-MSC: Bone marrow derived mesenchymal stromal cells, Dev: Development, Diff: Differentiation, HDC: Heart derived cells, MET: Mesenchymal-epithelial transition, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 42A-B shows a functional enrichment analysis of differentially expressed EV miRNA cargo of BM MSC vs UC MSC. (A) The top 10 significantly enriched transcription factor & tissue specificity of all differentially expressed miRNAs (DEM)s between BM MSC vs UC MSC. (B) The top 10 significantly enriched transcription factor & tissue specificity of enriched miRNAs in BM MSC in comparison to UC MSC, and UC MSC in comparison to BM MSC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 43A-B shows a functional enrichment analysis of EV differentially expressed miRNA cargo of HDC vs UC MSC. (A) The top 10 significantly enriched biological functions and Gene ontology biological processes of all differentially expressed miRNAs (DEM)s among HDC vs UC MSC. (B) The top 10 significantly enriched biological functions of enriched miRNAs in HDC in comparison to UC MSC, and UC MSC in comparison to HDC. n=3 biological replicates. Activ: Activity, BM-MSC: Bone marrow derived mesenchymal stromal cells, Dev: Development, Diff: Differentiation, HDC: Heart derived cells, MET: Mesenchymal-epithelial transition, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 44A-B shows a functional enrichment analysis of differentially expressed EV miRNA cargo of HDC vs UC MSC. (A) The top 10 significantly enriched transcription factor & tissue specificity of all differentially expressed miRNAs (DEM)s between HDC vs UC MSC. (B) The top 10 significantly enriched transcription factor & tissue specificity of enriched miRNAs in HDC in comparison to UC MSC, or UC MSC in comparison to HDC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells;



FIG. 45A-B shows a functional enrichment analysis of differentially expressed EV protein cargo of HDC vs BM MSC. (A) The top 10 significantly enriched molecular functions of all differentially expressed proteins (DEP)s among HDC vs BM MSC. (B) The top 10 significantly enriched molecular functions of enriched proteins in HDC in comparison to BM MSC, and BM MSC in comparison to HDC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, ECM: Extracellular matrix, GDP: Guanosine diphosphate, GTP: Guanosine triphosphate, HDC: Heart derived cells, LDL: Low-density lipoprotein, Macromol.cmpx: Macromolecule complex, MHC: Myosin heavy chain, Protein. Ppase: Protein phosphatase, UC-MSC: Umbilical cord derived mesenchymal stromal cells; cellular component (CC); biological process (BP);



FIG. 46A-B shows a functional enrichment analysis of differentially expressed EV protein cargo of HDC vs BM MSC. (A) The top 10 significantly enriched biological process (BP) and cellular component (CC) of all differentially expressed proteins (DEP)s among HDC vs BM MSC. (B) The top 10 significantly enriched biological process (BP) and cellular component (CC) of enriched proteins in HDC in comparison to BM MSC, and BM MSC in comparison to HDC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, ER: Endoplasmic reticulum, diff: Differentiation, ECM: Extracellular matrix, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells;



FIG. 47A-B shows a functional enrichment analysis of differentially expressed EV protein cargo of BM MSC vs UC MSC. (A) The top 10 significantly enriched molecular functions of all differentially expressed proteins (DEP)s among BM MSC vs UC MSC. (B) The top 10 significantly enriched molecular functions of enriched proteins in BM MSC in comparison to UC MSC, and UC MSC in comparison to BM MSC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, ECM: Extracellular matrix, GDP: Guanosine diphosphate, GTP: Guanosine triphosphate, HDC: Heart derived cells, LDL: Low-density lipoprotein, Macromol.cmpx: Macromolecule complex, MHC: Myosin heavy chain, Protein. Ppase: Protein phosphatase, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 48A-B shows a functional enrichment analysis of differentially expressed EV protein cargo of BM MSC vs UC MSC. (A) The top 10 significantly enriched biological process (BP) and cellular component (CC) of all differentially expressed proteins (DEP)s among BM MSC vs UC MSC. (B) The top 10 significantly enriched biological process (BP) and cellular component (CC) of enriched proteins in BM MSC in comparison to UC MSC, and UC MSC in comparison to BM MSC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, ER: Endoplasmic reticulum, diff: Differentiation, ECM: Extracellular matrix, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells FIG. 49A-B shows a functional enrichment analysis of differentially expressed EV protein cargo of HDC vs UC MSC. (A The top 10 significantly enriched molecular functions of all differentially expressed proteins (DEP)s among HDC vs UC MSC. (B) The top 10 significantly enriched molecular functions of enriched proteins in HDC in comparison to UC MSC, and UC MSC in comparison to HDC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, ECM: Extracellular matrix, GDP: Guanosine diphosphate, GTP: Guanosine triphosphate, HDC: Heart derived cells, LDL: Low-density lipoprotein, Macromol.cmpx: Macromolecule complex, MHC: Myosin heavy chain, Protein. Ppase: Protein phosphatase, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 50A-B shows a functional enrichment analysis of differentially expressed EV protein cargo of HDC vs UC MSC. (A) The top 10 significantly enriched biological process (BP) and cellular component (CC) of all differentially expressed proteins (DEP)s among HDC vs UC MSC. (B) The top 10 significantly enriched biological process (BP) and cellular component (CC) of enriched proteins in HDC in comparison to UC MSC, and UC MSC in comparison to HDC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, ER: Endoplasmic reticulum, diff: Differentiation, ECM: Extracellular matrix, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells.



FIG. 51 shows a protein-protein interaction network and GO-BP (Gene Ontology-Biological Process) analysis of differentially expressed proteins in EVs from BM MSC and USC MSC differentially expressed proteins (DEP)s. Significant clusters from the PPI network and enriched GO-BP terms of BM-MSC vs UC-MSC DEPs. The diamonds indicate nodes, gray lines indicate edges and the circles indicate hub node genes.



FIG. 52 shows a protein-protein interaction network and GO-BP (Gene Ontology-Biological Process) analysis of differentially expressed proteins in EVs from HDC vs UC MSC differentially expressed proteins (DEP)s. Significant clusters from the PPI network and enriched GO-BP terms of HDC vs UC-MSC DEPs. The diamonds indicate nodes, gray lines indicate edges and the circles indicate hub node genes.



FIG. 53A-B show KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analysis on all differentially expressed proteins (DEPs) or up- or down-regulated proteins between HDC vs BM MSC EVs. (A) The top 10 significantly enriched KEGG pathways of all differentially expressed proteins among HDC vs BM MSC. (B) The top 10 significantly KEGG pathways of enriched proteins in HDC vs BM MSC and BM MSC vs HDC. n=3 biological replicates. In a case the analysis yielded less than 10 enriched terms, all the terms are shown the in graphs. BM-MSC: Bone marrow derived mesenchymal stromal cells, HDC: Heart derived cells;



FIG. 54A-B show KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analysis on all differentially expressed proteins (DEPs) or up- or down-regulated proteins between BM MSC vs UC MSC EVs (A) The top 10 significantly enriched KEGG pathways of all DEPs UC MSC vs BM MSC. (B) The top 10 significantly KEGG pathways of enriched proteins in UC MSC vs BM MSC and BM MSC vs UC MSC. n=3 biological replicates. BM-MSC: Bone marrow derived mesenchymal stromal cells, E.Coli: Escherichia Coli, UC-MSC: Umbilical cord derived mesenchymal stromal cells;



FIG. 55A-B show KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analysis on all differentially expressed proteins (DEPs) or up- or down-regulated proteins between HDC and UC MSC EVs. (A) The top 10 significantly enriched KEGG pathways of all DEPs among UC MSC vs HDC. (B) The top 10 significantly KEGG pathways of enriched proteins in UC MSC vs HDC and HDC vs UC MSC. n=3 biological replicates. ECM: Extracellular matrix, GDP: Guanosine diphosphate, GTP: Guanosine triphosphate, HDC: Heart derived cells, UC-MSC: Umbilical cord derived mesenchymal stromal cells;





These and other features of the present invention will be further understood with reference to the following description and accompanying drawings, wherein:


DETAILED DESCRIPTION

Current drug and surgical treatments for atrial arrhythmias can be limited by serious side effects and limited effectiveness. Current drug approaches target heart rate, which is a single mechanism of atrial arrhythmia, however, atrial arrhythmias are considered to be caused by multiple mechanisms including inflammation, fibrosis and fibroblast proliferation. Identifying compositions that target multiple mechanisms that may lead to atrial arrhythmia, may improve atrial arrhythmia treatment and prevention.


As used herein, “patient” or “subject” may encompass any vertebrate organism or cell including mammals, but not limited to humans, non-human primates, rats, dogs, pigs and mice. In a preferred embodiment, the mammal may be a human. Further, a patient or subject ‘in need thereof’ may encompass any of the above organisms diagnosed with atrial arrhythmia, experiencing symptoms of atrial arrhythmia, and/or diagnosed or experiencing symptoms associated with a condition benefiting from the administration of a composition of extracellular vesicles described herein. As used herein, “an untreated subject” may encompass any of the above organisms, cells or material, wherein any control measure was performed or administered, including but not limited to sham surgery, unconditioned media only, vehicle, buffer only, untreated and/or any equivalent or appropriate control measure, instead of the composition of extracellular vesicles. In certain embodiments, ‘an untreated subject’ may be a patient or subject prior to administration of a composition of extracellular vesicles described herein.


As used herein, “in vitro” may encompass experimentation or analysis done on any vertebrate cell cultured outside the organism including mammals, but not limited to humans, non-human primates, rats, dogs, pigs and mice.


As used herein, “in vivo” may encompass experimentation or analysis done on any whole vertebrate organism including mammals, but not limited to humans, non-human primates, rats, dogs, pigs and mice.


Herein ‘about 1% to about 100%’ may encompass any values defining a range therein, for example, 1%, 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20%, 21%, 22%, 23%, 24%, 25%, 26%, 27%, 28%, 29%, 30%, 31%, 32%, 33%, 34%, 35%, 36%, 37%, 38%, 39%, 40%, 41%, 42%, 43%, 44%, 45%, 46%, 47%, 48%, 49%, 50%, 51%, 52%, 53%, 54%, 55%, 56%, 57%, 58%, 59%, 60%, 61%, 62%, 63%, 64%, 65%, 66%, 67%, 68%, 69%, 70%, 71%, 72%, 73%, 74%, 75%, 76%, 77%, 78%, 79%, 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, 100%.


Extracellular vesicles are naturally secreted, replication incompetent particles, enclosed by a lipid-bilayer, which can transfer its constituents to other cells (Murphy, de Jong et al. 2019). Herein, the term ‘constituents’ refers to the molecular contents of the extracellular vesicle, including but not limited to, proteins, lipids, nucleic acids, metabolites, and organelles. Extracellular vesicles may be referred to by the term polydisperse, as they are a population of particles with non-uniform size, shape, and constituents, further described herein. Extracellular vesicle constituents can vary substantially with factors including but not limited to tissue type, cell type, and physiological conditions. While extracellular vesicles are thought to have potential in treating various conditions, it is not known which extracellular vesicle compositions may have this surprising characteristic. As extracellular vesicle constituents and function can vary between similar cell types, even with modest modifications to their derivation, it is important to identify specific cells and conditions for these compositions. An exemplary non-limiting example of extracellular vesicle compositional diversity including, but not limited to, extracellular vesicles derived from heart-explant derived cells prepared under physiological conditions were reported to have an average size of 120 nm, however, when prepared under standard conditions the average extracellular vesicle size was 148 nm (Mount, Kanda et al. 2019). In addition, the same study reported changes to 51 miRNA constituents under physiological conditions compared to standard conditions. Therefore determining an ideal composition of extracellular vesicles may be critical in developing more effective therapies for atrial arrhythmias, as well as other heart and non-heart conditions. In addition, once an effective composition of extracellular vesicles is determined, its properties, including constituents, and size need to be determined.


Described herein are compositions comprising extracellular vesicles isolated from human heart cells, uses and methods thereof. It will be appreciated that embodiments and examples are provided herein for illustrative purposes intended for those skilled in the art, and are not meant to be limiting in any way.


As part of the studies described in detail herein below, results are provided which demonstrate, in what is believed to be for the first time and without wishing to be bound by theory, that extracellular vesicles derived from human heart cells are capable of ameliorating atrial arrhythmia, as well as atrial fibrosis, atrial fibroblast proliferation, and atrial inflammation. These findings characterize the features of extracellular vesicles derived from human heart cells. Specifically, extracellular vesicles constituents, size, and the ability to transfer constituents to human heart cells were tested, as well as their ability to reduce atrial fibrillation, atrial inflammation, atrial fibrosis and fibroblast proliferation.


Thus, herein, the composition of extracellular vesicles and the characteristics of the extracellular vesicles derived from human heart cells were investigated. Given the diverse nature of extracellular vesicles, they provide a useful platform for testing on heart conditions, including atrial arrhythmias. To reduce the possibility of contamination by non-extracellular structures and therapeutically ineffective extracellular vesicles, the properties of extracellular vesicles isolated were first established.


A person of skill in the art will recognize that different methods to derive extracellular vesicles may be possible and said methods may impact aspects of the extracellular vesicles. The skilled person having regard to the teachings herein will be able to select a suitable method for a given application. Such methods including, but not limited to, differential ultra-centrifugation, size exclusion chromatography, density gradient, tangential flow filtration and variations thereon, microfiltration, ion exchange chromatography, immuno-isolation or a combination thereof (as discussed in, for example, (Konoshenko, Lekchnov et al. 2018)). In one embodiment, extracellular vesicles may be derived from human heart cells by differential ultra-centrifugation. In certain embodiments, it is contemplated that extracellular vesicles may be derived from human heart cells by tangential flow filtration. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


In an embodiment, there is provided herein a composition comprising extracellular vesicles and a biologically or pharmaceutically acceptable adjuvant or carrier, said extracellular vesicles may comprise one or more of the following characteristics:

    • extracellular vesicles isolated from human heart cells;
    • a polydisperse population of particles ranging from about 10 to about 1000 nm, or any values defining a range therein, for example, but not limited to about 90 nm to about 500 nm, about 50 nm to about 250 nm, about 95 to about 170 nm, about 25 nm to about 200 nm, about 50 nm to about 750 nm, about 40 nm to about 600 nm and ranges including and/or spanning the aforementioned values;
    • one or more cytosolic markers defined by ALIX, any ANXA polypeptide, any ACT polypeptide, TSG101, any CHMP polypeptide, PDCD6IP, VPS4A, VPS4B, ARRDC1, any CAV polypeptide, any EHD polypeptide, RHOA, HSPA8, HSPA1A, any actin polypeptide, any tubulin polypeptide, GAPDH, HSP90AB1, ARF6, SDCBP, MAPT, and TSG101, or a combination thereof,
    • one or more transmembrane markers defined by CD3, CD9, CD14, CD37, CD41, CD45, CD47, CD53, CD55, CD59, CD61, CD63, CD73, CD81, CD82, CD90, any GNA polypeptide, HLA-A, HLA-B, HLA-C, HLA-DR, HLA-DP, HLA-DQ, any H2-A polypeptide H2-K, H2-D, H2-Q, any ITGA polypeptide, any ITGB polypeptide, TFR2, LAMP1, LAMP2, any SDC polypeptide, BSG, ADAM10, SHH, TSPAN8, PECAMI, ERBB2, EPCAM, CDC42a, GYPA, AChE-S, AChE-E, AβA4, APP, ABCC1, FLOT1, FLOT2, ICAM1, EpCam, or a combination thereof,
    • acetylcholinesterase activity;
    • substantially lacking or devoid of one or more of the group comprising GM130, APOA1, APOA2, APOB, APOB100, ALB, ribosomal proteins, UMOD and protein/nucleic acid aggregates;
    • 1-1000 unique miRNA transcripts; and
    • a unit dosage of extracellular vesicles comprising from about 102 to about 1020 particles per millilitre.


In certain embodiments of any of the compositions or methods above, the extracellular vesicles may be a polydisperse population that comprises an average diameter of about 10 nm to about 500 nm, any values defining a range therein, including, for example, 10 nm, 11 nm, 12 nm, 13 nm, 14 nm, 15 nm, 16 nm, 17 nm, 18 nm, 19 nm, 20 nm, 21 nm, 22 nm, 23 nm, 24 nm, 25 nm, 26 nm, 27 nm, 28 nm, 29 nm, 30 nm, 31 nm, 32 nm, 33 nm, 34 nm, 35 nm, 36 nm, 37 nm, 38 nm, 39 nm, 40 nm, 41 nm, 42 nm, 43 nm, 44 nm, 45 nm, 46 nm, 47 nm, 48 nm, 49 nm, 50 nm, 51 nm, 52 nm, 53 nm, 54 nm, 55 nm, 56 nm, 57 nm, 58 nm, 59 nm, 60 nm, 61 nm, 62 nm, 63 nm, 64 nm, 65 nm, 66 nm, 67 nm, 68 nm, 69 nm, 70 nm, 71 nm, 72 nm, 73 nm, 74 nm, 75 nm, 76 nm, 77 nm, 78 nm, 79 nm, 80 nm, 81 nm, 82 nm, 83 nm, 84 nm, 85 nm, 86 nm, 87 nm, 88 nm, 89 nm, 90 nm, 91 nm, 92 nm, 93 nm, 94 nm, 95 nm, 96 nm, 97 nm, 98 nm, 99 nm, 100 nm, 101 nm, 102 nm, 103 nm, 104 nm, 105 nm, 106 nm, 107 nm, 108 nm, 109 nm, 110 nm, 111 nm, 112 nm, 113 nm, 114 nm, 115 nm, 116 nm, 117 nm, 118 nm, 119 nm, 120 nm, 121 nm, 122 nm, 123 nm, 124 nm, 125 nm, 126 nm, 127 nm, 128 nm, 129 nm, 130 nm, 131 nm, 132 nm, 133 nm, 134 nm, 135 nm, 136 nm, 137 nm, 138 nm, 139 nm, 140 nm, 141 nm, 142 nm, 143 nm, 144 nm, 145 nm, 146 nm, 147 nm, 148 nm, 149 nm, 150 nm, 151 nm, 152 nm, 153 nm, 154 nm, 155 nm, 156 nm, 157 nm, 158 nm, 159 nm, 160 nm, 161 nm, 162 nm, 163 nm, 164 nm, 165 nm, 166 nm, 167 nm, 168 nm, 169 nm, 170 nm, 171 nm, 172 nm, 173 nm, 174 nm, 175 nm, 176 nm, 177 nm, 178 nm, 179 nm, 180 nm, 181 nm, 182 nm, 183 nm, 184 nm, 185 nm, 186 nm, 187 nm, 188 nm, 189 nm, 190 nm, 191 nm, 192 nm, 193 nm, 194 nm, 195 nm, 196 nm, 197 nm, 198 nm, 199 nm, 200 nm, 201 nm, 202 nm, 203 nm, 204 nm, 205 nm, 206 nm, 207 nm, 208 nm, 209 nm, 210 nm, 211 nm, 212 nm, 213 nm, 214 nm, 215 nm, 216 nm, 217 nm, 218 nm, 219 nm, 220 nm, 221 nm, 222 nm, 223 nm, 224 nm, 225 nm, 226 nm, 227 nm, 228 nm, 229 nm, 230 nm, 231 nm, 232 nm, 233 nm, 234 nm, 235 nm, 236 nm, 237 nm, 238 nm, 239 nm, 240 nm, 241 nm, 242 nm, 243 nm, 244 nm, 245 nm, 246 nm, 247 nm, 248 nm, 249 nm, 250 nm, 251 nm, 252 nm, 253 nm, 254 nm, 255 nm, 256 nm, 257 nm, 258 nm, 259 nm, 260 nm, 261 nm, 262 nm, 263 nm, 264 nm, 265 nm, 266 nm, 267 nm, 268 nm, 269 nm, 270 nm, 271 nm, 272 nm, 273 nm, 274 nm, 275 nm, 276 nm, 277 nm, 278 nm, 279 nm, 280 nm, 281 nm, 282 nm, 283 nm, 284 nm, 285 nm, 286 nm, 287 nm, 288 nm, 289 nm, 290 nm, 291 nm, 292 nm, 293 nm, 294 nm, 295 nm, 296 nm, 297 nm, 298 nm, 299 nm, 300 nm, 301 nm, 302 nm, 303 nm, 304 nm, 305 nm, 306 nm, 307 nm, 308 nm, 309 nm, 310 nm, 311 nm, 312 nm, 313 nm, 314 nm, 315 nm, 316 nm, 317 nm, 318 nm, 319 nm, 320 nm, 321 nm, 322 nm, 323 nm, 324 nm, 325 nm, 326 nm, 327 nm, 328 nm, 329 nm, 330 nm, 331 nm, 332 nm, 333 nm, 334 nm, 335 nm, 336 nm, 337 nm, 338 nm, 339 nm, 340 nm, 341 nm, 342 nm, 343 nm, 344 nm, 345 nm, 346 nm, 347 nm, 348 nm, 349 nm, 350 nm, 351 nm, 352 nm, 353 nm, 354 nm, 355 nm, 356 nm, 357 nm, 358 nm, 359 nm, 360 nm, 361 nm, 362 nm, 363 nm, 364 nm, 365 nm, 366 nm, 367 nm, 368 nm, 369 nm, 370 nm, 371 nm, 372 nm, 373 nm, 374 nm, 375 nm, 376 nm, 377 nm, 378 nm, 379 nm, 380 nm, 381 nm, 382 nm, 383 nm, 384 nm, 385 nm, 386 nm, 387 nm, 388 nm, 389 nm, 390 nm, 391 nm, 392 nm, 393 nm, 394 nm, 395 nm, 396 nm, 397 nm, 398 nm, 399 nm, 400 nm, 401 nm, 402 nm, 403 nm, 404 nm, 405 nm, 406 nm, 407 nm, 408 nm, 409 nm, 410 nm, 411 nm, 412 nm, 413 nm, 414 nm, 415 nm, 416 nm, 417 nm, 418 nm, 419 nm, 420 nm, 421 nm, 422 nm, 423 nm, 424 nm, 425 nm, 426 nm, 427 nm, 428 nm, 429 nm, 430 nm, 431 nm, 432 nm, 433 nm, 434 nm, 435 nm, 436 nm, 437 nm, 438 nm, 439 nm, 440 nm, 441 nm, 442 nm, 443 nm, 444 nm, 445 nm, 446 nm, 447 nm, 448 nm, 449 nm, 450 nm, 451 nm, 452 nm, 453 nm, 454 nm, 455 nm, 456 nm, 457 nm, 458 nm, 459 nm, 460 nm, 461 nm, 462 nm, 463 nm, 464 nm, 465 nm, 466 nm, 467 nm, 468 nm, 469 nm, 470 nm, 471 nm, 472 nm, 473 nm, 474 nm, 475 nm, 476 nm, 477 nm, 478 nm, 479 nm, 480 nm, 481 nm, 482 nm, 483 nm, 484 nm, 485 nm, 486 nm, 487 nm, 488 nm, 489 nm, 490 nm, 491 nm, 492 nm, 493 nm, 494 nm, 495 nm, 496 nm, 497 nm, 498 nm, 499 nm, and 500 nm.


As taught in (Chiang and Chen 2019), extracellular vesicles from a single source are heterogenous and have a distribution of sizes, which characterize the population. A person of skill in the art will recognize that different methods to measure extracellular vesicle size and number may be possible. Such methods including, but not limited to, nanoparticle tracking analysis, high-resolution flow cytometry, standard flow cytometry, resistive pulse sensing, atomic force microscopy, impedance-based detection, laser tweezers Raman spectroscopy, dark field microscopy, electron microscopy, transmission electron microscopy, and cryo-electron microscopy. The skilled person having regard to the teachings herein will be able to select a suitable method for a given application. The person of skill in the art will also recognize that extracellular vesicle number may be indirectly measured with such methods including total protein amount, total lipid amount, total RNA, acetylcholinesterase activity or quantification of specific molecules. In one embodiment, extracellular vesicle particle size and number may be measured using Nanoparticle Tracking Analysis. In certain embodiments, extracellular vesicle particle number may be measured using FluoroCet Exosome Quantitation kit. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


The mammalian heart is divided into four chambers consisting of two ventricles (lower chambers) and two atria (upper chambers). The heart chambers are composed of five major cell types including cardiac fibroblasts, cardiomyocytes, cardiac precursor cells, smooth muscle cells and endothelial cells. Herein, all said cells may be encompassed by the expression ‘human heart cell’. In some embodiments, the human heart cells may be derived from a heart biopsy. In certain embodiments, the human heart cells may be derived from a heart biopsy containing any combination of myocardial, epicardial or endocardial tissue. In a further embodiment, the heart biopsy may be an atrial appendage. In some embodiments, the human heart cells may be derived from ventricular tissue. In certain embodiments, the human heart cells may be derived from an entire heart. In a preferred embodiment, the heart biopsy may be a left atrial appendage. In a most preferred embodiment, the left atrial appendage biopsy contains cardiomyocytes and cardiac precursor cells. The skilled person will recognize that in certain embodiments, atrial appendages may be surgically removed at the time of open heart surgery, for example, and ventricular or atrial biopsies may be obtained by guiding a catheter into the heart and taking small bites from the heart tissue, for example. The skilled person will be aware of suitable techniques for obtaining a suitable biopsy or appendage. In some embodiments, heart-derived explant cells may be derived from the heart biopsy. The person of skill in the art will further recognize that heart explant derived cells may represent a collection of different cell populations which express markers of endothelial, mesenchymal, and stem cell identity. Without wishing to be bound by theory, such a cell may likely be considered a multipotent cell, or a stem cell, which has been at least partially differentiated to heart tissue.


Cellular immortalization, as described herein and would be recognized by a person of skill in the art, is a process or manipulation to increase the cellular division capacity of cells in culture (in vitro) thus increasing the length of time they can be cultured. In certain embodiments of any of the compositions or methods above, heart-derived explant cells may be immortalized using techniques including, but not limited to, genetic mutation, expression of a viral gene, expression of a viral gene product, expression of a telomerase reverse transcriptase expression, expression of SV40, or equivalent techniques know to a person of skill in the art.


A person of skill in the art will recognize that different methods to generate human heart cells may be possible (as discussed in, for example, (Balafkan, Mostafavi et al. 2020)). The skilled person having regard to the teachings herein will be able to select a suitable cell type for a given application. Such methods may include heart explant-derived stem cells, heart explant-derived stem cells, cardiac explant-derived cells, cardiac explant-derived stem cells, atrial explant-derived stem cells, atrial explant-derived cells, differentiating induced pluripotent stem cells, differentiating embryonic stem cells, differentiating any adult precursor cells, differentiating adipose-derived stem cells, differentiating mesenchymal stem cell, differentiating P19 cells, differentiating C2C12 cells, any cell capable of cardiac differentiation or using a cell or tissue that produces an equivalent composition of extracellular vesicles.


In certain embodiments of any of the compositions or methods above, the human heart cells may be allogenic to the recipient of the composition. In certain other embodiments, the human heart cells may be autologous to the recipient of the composition. In certain embodiments, the human heart cells may be cryopreserved between −1° C. and −200° C., any values defining a range therein, including, for example, −200° C., −199° C., −198° C., −197° C., −196° C., −195° C., −194° C., −193° C., −192° C., −191° C., −190° C., −189° C., −188° C., −187° C., −186° C., −185° C., −184° C., −183° C., −182° C., −181° C., −180° C., −179° C., −178° C., −177° C., −176° C., −175° C., −174° C., −173° C., −172° C., −171° C., −170° C., −169° C., −168° C., −167° C., −166° C., −165° C., −164° C., −163° C., −162° C., −161° C., −160° C., −159° C., −158° C., −157° C., −156° C., −155° C., −154° C., −153° C., −152° C., −151° C., −150° C., −149° C., −148° C., −147° C., −146° C., −145° C., −144° C., −143° C., −142° C., −141° C., −140° C., −139° C., −138° C., −137° C., −136° C., −135° C., −134° C., −133° C., −132° C., −131° C., −130° C., −129° C., −128° C., −127° C., −126° C., −125° C., −124° C., −123° C., −122° C., −121° C., −120° C., −119° C., −118° C., −117° C., −116° C., −115° C., −114° C., −113° C., −112° C., −111° C., −110° C., −109° C., −108° C., −107° C., −106° C., −105° C., −104° C., −103° C., −102° C., −101° C., −100° C., −99° C., −98° C., −97° C., −96° C., −95° C., −94° C., −93° C., −92° C., −91° C., −90° C., −89° C., −88° C., −87° C., −86° C., −85° C., −84° C., −83° C., −82° C., −81° C., −80° C., −79° C., −78° C., −77° C., −76° C., −75° C., −74° C., −73° C., −72° C., −71° C., −70° C., −69° C., −68° C., −67° C., −66° C., −65° C., −64° C., −63° C., −62° C., −61° C., −60° C., −59° C., −58° C., −57° C., −56° C., −55° C., −54° C., −53° C., −52° C., −51° C., −50° C., −49° C., −48° C., −47° C., −46° C., −45° C., −44° C., −43° C., −42° C., −41° C., −40° C., −39° C., −38° C., −37° C., −36° C., −35° C., −34° C., −33° C., −32° C., −31° C., −30° C., −29° C., −28° C., −27° C., −26° C., −25° C., −24° C., −23° C., −22° C., −21° C., −20° C., −19° C., −18° C., −17° C., −16° C., −15° C., −14° C., −13° C., −12° C., −11° C., −10° C., −9° C., −8° C., −7° C., −6° C., −5° C., −4° C., −3° C., −2° C., and −1° C.


The International Society for Extracellular Vesicles (ISEV) teaches the minimal information for studies of extracellular vesicles (Thery, Witwer et al. 2018). As taught at the time of application, a consensus has not emerged on specific markers of extracellular vesicle subtypes. As such, it is further taught that operational terms for extracellular vesicle subtypes that refer to physical characteristics such as size, biochemical composition such as protein content, conditions of origin or cells of origin are advised. The ISEV further teaches that three categories of broad markers may be analyzed to demonstrate the presence of extracellular vesicles (Categories 1 and 2) and assess their purity from contamination (Category 3). The ISEV also teaches of markers generally restricted to small extracellular vesicles (Category 4) and markers of potential functional activity (Category 5).


Category 1 is taught to contain transmembrane or GPI-anchored protein, as their presence demonstrates the lipid-bilayer structure specific to extracellular vesicles. Said proteins may comprise the following: tetraspanins (CD63, CD81, CD82); other multi-pass membrane proteins (CD47, GNA); MHC class I (HLA-A/B/C, H2-K/D/Q); integrins (ITGA, ITGB); transferrin receptor (TFR2); LAMP1/2, heparan sulfate proteoglycans (SDC); complement-binding proteins (CD55, CD59); MHC class II (HLA-DR/DP/DQ, H2-A); BSG, ADAM10, CD73, SHH, TSPAN, CD37, CD53, CD9, PECAMI, ERBB2, EPCAM, CD90, CD45, CD41, CD42a, ICAM, GYPA, CD14, CD3, AChE-S, AChE-E, A3, APP, and ABCC1.


Category 2 is taught to contain cytosolic proteins, as their presence demonstrates the preparations ability to enclose intracellular material. Said proteins may comprise the following: ESCRT-I/II/III and accessory proteins (TSG101, CHMP): caveolins (CAV); enzymes (GAPDH); actin (ACT), tubulin (TUB); annexins (ANXA); Heat shock proteins (HSC70, HSP70, HSPA1A HSPA8, HSP84, HSP90AB1); PDCD6IP, VPS4A/B; ARRDC1, FLOT1/2, EHD, RHOA, ARF6, SDCBP, and MAPT. It is further taught that such cytosolic protein constituents of extracellular vesicles vary significantly, and therefore extracellular vesicles may contain additional cytosolic proteins.


Category 3 is taught to contain major constituents of non-extracellular vesicle structures often co-isolated with extracellular vesicles. Said proteins may comprise: lipoproteins (APOA1/2, APOB, APOB100, ALB) protein and protein/nucleic acid aggregates, UMOD and ribosomal proteins. It is further taught that evaluating molecules of Category 3 assesses the purity of the extracellular vesicle preparation.


Category 4 is taught to contain larger structures that, due to their size, are substantially lacking or devoid from smaller extracellular vesicles. Said markers may comprise the following: nucleus (including histones, LMNA); mitochondria (including IMMT, CYC1, TOMM20); endoplasmic reticulum (including CANX, HSP90B1, HSPA5); Golgi apparatus (including GM130); autophagosomes (including ATG9A); and cytoskeleton (including ACTN1/4, KRT18). A person of ordinary skill will recognize that organelles and large sub-cellular structures may be identified with other markers. The person of skill in the art will also recognize determination criteria for substantially lacking or devoid based on a given application or methodology.


Category 5 is taught to contain functional components used to determine the mode of association with extracellular vesicles. Said proteins may comprise: cytokines (including IFNG, IL); growth factors (including VEGFA, FGF1/2, PDGF, EGF, TGFB1/2); adhesion and extracellular matrix proteins (including FN1, COL, MFGE8, LGALS3BP, CD5L, AHSG).


A person of skill in the art will recognize that many protein markers are members of families with similar or homologous proteins, which may be capable of performing the same function. Therefore, a person of skill in the art would recognize that protein markers may or may not apply to all proteins across a family or class. As a non-limiting example, ITGB broadly refers to the entire class of integrin beta-sub unit proteins, in humans comprising ITGB1, ITGB2, ITGB3, ITGB4, ITGB5, ITGB6, ITGB7, and ITGB8. A person of skill of the art will recognize that homologues of said proteins may or may not have the same function.


ISEV further teaches that analytical approaches such as Western blots, high resolution flow cytometry, proteomic array or global proteomic analysis using mass spectrometry techniques can be used to identify proteins of Categories 1-5. A person of skill in the art would recognize that additional methods may be used to determine the presence, absence, or level of a given protein in an extracellular vesicle composition. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


Further, a person of skill in the art would recognize that structures enclosed by a lipid layer, such as the lipid-bilayer of extracellular vesicles, are susceptible to rupture by detergent containing solutions. A person of skill in the art would recognize this as another non-limiting example of determining and/or validating the properties and/or presence of extracellular vesicles, wherein the addition of detergent may decrease the extracellular vesicle particle number compared to a sample not treated with detergent. In another embodiment of any of the compositions above, wherein said extracellular vesicles may be solubilized by the addition of a detergent, comprising a solution of about 0.01% to about 10.0% Triton™ X-100, any values defining a range therein, including, for example, 0.01%, 0.05%, 0.1%, 0.15%, 0.2%, 0.25%, 0.3%, 0.35%, 0.4%, 0.45%, 0.5%, 0.55%, 0.6%, 0.65%, 0.7%, 0.75%, 0.8%, 0.85%, 0.9%, 0.95%, 1%, 1.05%, 1.1%, 1.15%, 1.2%, 1.25%, 1.3%, 1.35%, 1.4%, 1.45%, 1.5%, 1.55%, 1.6%, 1.65%, 1.7%, 1.75%, 1.8%, 1.85%, 1.9%, 1.95%, 2%, 2.05%, 2.1%, 2.15%, 2.2%, 2.25%, 2.3%, 2.35%, 2.4%, 2.45%, 2.5%, 2.55%, 2.6%, 2.65%, 2.7%, 2.75%, 2.8%, 2.85%, 2.9%, 2.95%, 3%, 3.05%, 3.1%, 3.15%, 3.2%, 3.25%3, 3.3%, 3.35%, 3.4%, 3.45%, 3.5%, 3.55%, 3.6%, 3.65%, 3.7%, 3.75%, 3.8%, 3.85%, 3.9%, 3.95%, 4%, 4.05%, 4.1%, 4.15%, 4.2%, 4.25%, 4.3%, 4.35%, 4.4%, 4.45%, 4.5%, 4.55%, 4.6%, 4.65%, 4.7%, 4.75%, 4.8%, 4.85%, 4.9%, 4.95%, 5%, 5.05%, 5.1%, 5.15%, 5.2%, 5.25%, 5.3%, 5.35%, 5.4%, 5.45%, 5.5%, 5.55%, 5.6%, 5.65%, 5.7%, 5.75%, 5.8%, 5.85%, 5.9%, 5.95%, 6%, 6.05%, 6.1%, 6.15%, 6.2%, 6.25%, 6.3%, 6.35%, 6.4%, 6.45%, 6.5%, 6.55%, 6.6%, 6.65%, 6.7%, 6.75%, 6.8%, 6.85%, 6.9%, 6.95%, 7%, 7.05%, 7.1%, 7.15% 7.2%, 7.25%, 7.3%, 7.35%, 7.4%, 7.45%, 7.5%, 7.55%, 7.6%, 7.65%, 7.7%, 7.75%, 7.8%, 7.85%, 7.9%, 7.95%, 8%, 8.05%, 8.1%, 8.15%, 8.2%, 8.25%, 8.3%, 8.35%, 8.4%, 8.45%, 8.5%, 8.55%, 8.6%, 8.65%, 8.7%, 8.75%, 8.8%, 8.85%, 8.9%, 8.95%, 9%, 9.05%, 9.1%, 9.15%, 9.2%, 9.25%, 9.3%, 9.35%, 9.4%, 9.45%, 9.5%, 9.55%, 9.6%, 9.65%, 9.7%, 9.75%, 9.8%, 9.85%, 9.9%, 9.95%, and 10%, wherein solubilisation may be measured by a decrease in the extracellular vesicle particle number compared to a sample not treated with the detergent. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


The ISEV teaches the non-limiting nature of such foregoing lists, and recommends they be used as a guide to define extracellular vesicles, as not all constituents are present in all populations of vesicles nor are they absent. The ISEV further teaches that extracellular vesicle constituents not listed in any of Categories 1-5 may be present in extracellular vesicles depending on factors including, but not limited to, tissue type, cell type, derivation methodology and physiological conditions. In light of the foregoing and the common general knowledge, a person of skill in the art would recognize that not all markers will be present or absent on extracellular vesicles from a given cell or tissue type, and that said differences in the presence, absence or levels of certain constituents may act as a defining feature of the extracellular vesicles derived. The skilled person having regard to the teachings herein will be able to select a suitable method and threshold for determining ‘substantially lacking or devoid’ and ‘present’ as it pertains to extracellular vesicle constituents for a given application.


It is understood that certain sub-types of ribonucleic acids (RNA), including, but not limited to, micro RNA (miRNA) and messenger RNA (mRNA) make up a portion of the constituents of extracellular vesicles. miRNA function by regulating post-transcriptional gene expression, generally through binding to complementary sequences on mRNA transcripts. The binding of miRNA to a complementary sequence can result in translational repression, as well as mRNA degradation and/or gene silencing. The activity of miRNA may influence the heart in certain disease states, for example, U.S. Pat. No. 9,828,603 teaches that increasing the level of mir-146a decreases the infarct region in mice following myocardial infarction when compared to animals treated with a control mimic miRNA. U.S. Pat. No. 9,828,603 further teaches that increasing the concentration of mir-210 transfected into cardiomyocytes increased their viability 10-fold following exposure to hydrogen peroxide. The miRNA profile of extracellular vesicles may be determined by reverse transcription polymerase chain reaction (qRT-PCR), miRNA microarray, multiplex fluorescent oligonucleotide-based miRNA detection and RNA sequencing. In one embodiment, the miRNA profile of an extracellular vesicle composition derived from human heart cells may be determined with RNA sequencing. In certain embodiments, the extracellular vesicles contain about 1 to about 1000 unique miRNA transcripts, any values defining a range therein, including, for example, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389,390, 391, 392, 393, 394,395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999, or 1000. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting. Herein a unique miRNA transcript refers to a population of miRNA transcribed from a unique genetic locus.


In some embodiments of any of the above compositions or methods, the extracellular vesicles include a variety of biomolecules, such as nucleic acids and proteins. Extracellular vesicles contain different types of RNA molecules, as taught in (Zimta, Sigurjonsson et al. 2020), and different types of deoxyribonucleic acid (DNA) molecules, as taught in (Hur and Lee 2021). In certain embodiments, the extracellular vesicles contain DNA, DNA fragments, DNA plasmids, mRNA, tRNA, snRNA, piRNA, saRNA, miRNA, rRNA, ribozymes, double stranded RNA, other non-coding and coding RNA. In some embodiments, the extracellular vesicles contain non-coding RNAs (ncRNAs), such as, but not limited to, long non-coding RNAs (lncRNAs), microRNAs (miRNAs), long intergenic non-coding RNA (lincRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA) and Y RNA fragments.


Extracellular vesicles are secreted into the extracellular space and can transfer their constituents to other cells by binding and fusing to their plasma membrane (Murphy, de Jong et al. 2019). Constituents of both the extracellular vesicle lipid bi-layer and the extracellular vesicle cargo can be incorporated into the receiving cell. In one embodiment, the transfer of protein from the extracellular vesicle to the receiving cell may determine absorption of extracellular vesicle constituents. In another embodiment, the transfer of lipids from the extracellular vesicle to the receiving cell may determine absorption of extracellular vesicle constituents. In certain embodiments, the human heart cells absorbing the extracellular vesicles may be immune cells, endothelial cells, myocytes and/or fibroblasts. In certain embodiments, the human heart cells absorbing the extracellular vesicles may be in vitro. In certain embodiments, the human heart cells absorbing the extracellular vesicles may be in vivo. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


The interrogation of extracellular vesicle constituents has uncovered several proteins and nucleic acids related to heart conditions and diseases. By way of example, over-expression of miR-24 improved heart function and attenuated fibrosis in a rodent model of myocardial function (Barile, Lionetti et al. 2014). The person of skill in the art will further recognize that extracellular vesicle constituents may positively impact heart conditions or function (examples including, but not limited to, (Quattrocelli, Crippa et al. 2013), (Yang, Qin et al. 2019), U.S. Pat. No. 9,828,603) or negatively impact heart conditions and heart function (examples including, but not limited to, (Adam, Lohfelm et al. 2012), (Cardin, Guasch et al. 2012), (Cao, Shi et al. 2017), (Zhi, Xu et al. 2019)). Findings as described herein are somewhat surprising, as several extracellular vesicle constituents reported to be substantially absent or devoid herein have clearly been previously shown to have positive effects on heart outcomes (U.S. Pat. No. 9,828,603).


The person of skill in the art having regard to the teachings herein will further recognize that it is contemplated that compositions of extracellular vesicles as described here may be further prepared by performing genetic reprogramming/genetic modification on the human heart cells including, but not limited to, to increase specific constituents (discussed in, for example, (Hall, Prabhakar et al. 2016)), decrease specific constituents (discussed in, for example, (Pfeifer, Werner et al. 2015)), target extracellular vesicles to specific locations (discussed in, for example, (Kooijmans, Schiffelers et al. 2016)), target extracellular vesicles to specific cells (discussed in, for example, (Kooijmans, Schiffelers et al. 2016)), increase the production of extracellular vesicles (discussed in, for example, (Park, Bandeira et al. 2019)), thus boosting extracellular vesicle function, as described in the aforementioned references. By way of example, in certain embodiments it is contemplated that human heart cells as described herein may be subjected to genetic reprogramming to over-express the KCNN4 gene, which may promote extracellular vesicle production. Such approaches may involve lentivirus reprogramming, CRISPR/Cas9 editing, or other methods known to the person of skill such as mini circle DNA, for example.


Inflammation can be a protective response by an immune system to defend against harmful stimuli; however, prolonged inflammation may lead to detrimental conditions. Inflammation can be regulated by immune cells, said immune cells capable of infiltrating tissues, secreting factors and destroying perceived detrimental material. The infiltration of inflammatory immune cells into atrial tissue may be observed in certain subjects with atrial arrhythmias (as discussed in, for example, (Zhou and Dudley 2020)), therefore the presence of inflammatory immune cells in a tissue may indicate inflammation. A person of skill would recognize that immune cells can infiltrate the heart. In certain embodiments, the phrase “human heart cells” may also comprise immune cells. Inflammasomes are receptors, sometimes referred to as sensors, which regulate the inflammatory response and can serve as indicators of potential inflammation with markers of the inflammasome, including, but not limited to caspase-1 activation. The infiltration of inflammatory immune cells into the atrial tissue of a subject with atrial arrhythmia presents the possibility that immune cells may absorb extracellular vesicles. Immune cells may bind and/or secrete molecules including, but not limited to, cytokines, interleukins, interferons, chemokines, complement protein, or any equivalent, to induce an inflammatory response in the surrounding tissue. Increases in immune cell infiltration, secreted immune molecules and inflammasome activation may indicate an increase in inflammation. A person of skill in the art will recognize that many techniques are possible to determine inflammation. The skilled person having regard to the teachings herein will be able to select a suitable method for a given application. Exemplary experimental methods for such determinations are in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


Fibrosis may result in the thickening and/or scarring of the afflicted tissue. Fibrosis may occur due to excess deposition of extracellular matrix components, including, but not limited to, collagen, fibronectrin and fibrin, from fibroblast cells and may result from long-term inflammation (Wynn 2008). It is further thought that fibrosis may disrupt the electrical activity of the heart leading to conditions, including, but not limited to, atrial arrhythmias. A person of skill in the art will recognize that many techniques are possible to determine fibrosis, including but not limited to, for example, hydroxyproline and relative tissue mass. The skilled person having regard to the teachings herein will be able to select a suitable method for a given application. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


A person of skill in the art will recognize that increases in fibroblast proliferation may promote fibrosis, as taught in, for example, (Kendall and Feghali-Bostwick 2014). Therefore, a person of skill in the art would recognize changes in fibroblast proliferation may be a precursor to fibrosis and atrial arrhythmia, as further taught in, for example, (Ashihara, Haraguchi et al. 2012), and (Aguilar, Qi et al. 2014). A person of skill in the art will recognize that many techniques are possible to quantify fibroblast proliferation. Cellular proliferation is regulated, in part, by transcriptional changes in genes that positively and/or negatively regulate the cell cycle (Liu, Chen et al. 2017). Herein, a positive cell cycle regulatory genes may refer to a gene that, when expressed or activated, may increase cell division by promoting progression into the cell cycle and/or progression through a phase of the cell cycle, including but not limited to, for example Cyclin D, Cyclin E, Cyclin A and Cyclin B. Herein, a negative cell cycle regulatory gene may refer to a gene that, when expressed or activated, may decrease cell division by preventing progression into the cell cycle and/or preventing progression through a phase of the cell cycle, including but not limited to, for example p53, RB, p21, and cyclin-dependent kinase inhibitors (CKI). As taught in, for example, (Bretones, Delgado et al. 2015; Rubin, Sage et al. 2020), regulation of cell cycle genes is thought to be controlled, in part, through transcription factors, transcription factor families and co-factors including, but not limited to, E2F, MYC, p53, RB, P107, P130, and more, which regulate the expression of gene families, including, but not limited to, for example cyclins and cyclin-dependent kinases. Transcriptional regulation of the cell cycle results in complex changes in gene expression of factors influencing entry into the cell cycle from G0 or G1 phases to S-phase, as well as progression through G2 phase and M phase. The skilled person having regard to the teachings herein will be able to select a suitable method for a given application. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


Derivation of extracellular vesicles may either be undertaken from bodily fluids (examples, including but not limited to, blood, milk, and urine) or conditioned cell culture medium. As bodily fluids may contain extracellular vesicles from many bodily sources, a person of skill will recognize that derivation of extracellular vesicles from cell culture medium minimizes heterogeneity of the vesicle source compared to bodily fluids. In some embodiments, said human heart cells may have been grown in vitro. In certain embodiments, said human heart cells may have been expanded in vitro. As will be understood, the presently described extracellular vesicles compositions, uses and methods thereof, may be amenable to Good Manufacturing Practices (GMP) standards and/or other such pharmaceutical industry standards. In some embodiments, GMP standards may be used, for example, culturing heart explant derived cells as described in U.S. Pat. No. 11,083,756. Standard operating procedures (SOPs) may be developed for producing and using the extracellular vesicle compositions described herein, examples of which are provided in U.S. Pat. No. 11,083,756. In certain embodiments, said human heart cells may have been grown and expanded in vitro using GMP conditions. In certain embodiments, GMP conditions may comprise controlled physiological cell culture conditions, said conditions comprising continuous atmosphere around 1% to around 10% oxygen, and around 1% to around 10% carbon dioxide, relative humidity around 50% to around 90% RH, and temperature around 32° C. to around 42° C., serum-free, xenogen-free growth media, and extracellular vesicle depleted fetal bovine serum. In certain embodiments, said human heart cells may have been expanded in vitro using a GMP compliant enzyme to disassociate cells from culture plates or culture dishes, said GMP compliant enzyme comprising one or more of TrypLE™ Select, collagenase I and collagenase II, or combination thereof. In certain embodiments, said extracellular vesicles are isolated after about 1 hours to about 196 hours or more incubation, any values defining a range therein, including, for example, 1 hr, 2 hrs, 3 hrs, 4 hrs, 5 hrs, 6 hrs, 7 hrs, 8 hrs, 9 hrs, 10 hrs, 11 hrs, 12 hrs, 13 hrs, 14 hrs, 15 hrs, 16 hrs, 17 hrs, 18 hrs, 19 hrs, 20 hrs, 21 hrs, 22 hrs, 23 hrs, 24 hrs, 25 hrs, 26 hrs, 27 hrs, 28 hrs, 29 hrs, 30 hrs, 31 hrs, 32 hrs, 33 hrs, 34 hrs, 35 hrs, 36 hrs, 37 hrs, 38 hrs, 39 hrs, 40 hrs, 41 hrs, 42 hrs, 43 hrs, 44 hrs, 45 hrs, 46 hrs, 47 hrs, 48 hrs, 49 hrs, 50 hrs, 51 hrs, 52 hrs, 53 hrs, 54 hrs, 55 hrs, 56 hrs, 57 hrs, 58 hrs, 59 hrs, 60 hrs, 61 hrs, 62 hrs, 63 hrs, 64 hrs, 65 hrs, 66 hrs, 67 hrs, 68 hrs, 69 hrs, 70 hrs, 71 hrs, 72 hrs, 73 hrs, 74 hrs, 75 hrs, 76 hrs, 77 hrs, 78 hrs, 79 hrs, 80 hrs, 81 hrs, 82 hrs, 83 hrs, 84 hrs, 85 hrs, 86 hrs, 87 hrs, 88 hrs, 89 hrs, 90 hrs, 91 hrs, 92 hrs, 93 hrs, 94 hrs, 95 hrs, 96 hrs, 97 hrs, 98 hrs, 99 hrs, 100 hrs, 101 hrs, 102 hrs, 103 hrs, 104 hrs, 105 hrs, 106 hrs, 107 hrs, 108 hrs, 109 hrs, 110 hrs, 111 hrs, 112 hrs, 113 hrs, 114 hrs, 115 hrs, 116 hrs, 117 hrs, 118 hrs, 119 hrs, 120 hrs, 121 hrs, 122 hrs, 123 hrs, 124 hrs, 125 hrs, 126 hrs, 127 hrs, 128 hrs, 129 hrs, 130 hrs, 131 hrs, 132 hrs, 133 hrs, 134 hrs, 135 hrs, 136 hrs, 137 hrs, 138 hrs, 139 hrs, 140 hrs, 141 hrs, 142 hrs, 143 hrs, 144 hrs, 145 hrs, 146 hrs, 147 hrs, 148 hrs, 149 hrs, 150 hrs, 151 hrs, 152 hrs, 153 hrs, 154 hrs, 155 hrs, 156 hrs, 157 hrs, 158 hrs, 159 hrs, 160 hrs, 161 hrs, 162 hrs, 163 hrs, 164 hrs, 165 hrs, 166 hrs, 167 hrs, 168 hrs, 169 hrs, 170 hrs, 171 hrs, 172 hrs, 173 hrs, 174 hrs, 175 hrs, 176 hrs, 177 hrs, 178 hrs, 179 hrs, 180 hrs, 181 hrs, 182 hrs, 183 hrs, 184 hrs, 185 hrs, 186 hrs, 187 hrs, 188 hrs, 189 hrs, 190 hrs, 191 hrs, 192 hrs, 193 hrs, 194 hrs, 195 hrs, 196 hrs or more. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


Allorecognition is the ability of an individual organism to distinguish its own tissues from those of other organisms, wherein surface antigens may determine recognition of cells of non-self origin. Extracellular vesicles have different constituents and a person of skill in the art would recognize that each extracellular vesicle composition may or may not activate an immune response after allogenic administration, which may be due to the varied presence of surface antigens. Findings as described herein are somewhat surprising, as the extracellular vesicle composition derived from human heart cells may not induce an immune response. The lack of significant immune response may provide utility beyond other biological agents, which as taught in, for example, (Boehncke and Brembilla 2018) may be hindered by their immunogenicity. Furthermore, certain compositions of extracellular vesicles teach towards a pro-immunogenic nature, such as (Escudier, Dorval et al. 2005). In certain embodiments, substantially immunologically inert is determined by tolerance or lack of reaction following xenogeneic transplantation of any composition of extracellular vesicles above. In certain embodiments, the composition of extracellular vesicles is derived from a xenogeneic source. In certain embodiments, it is contemplated that the extracellular vesicles are derived from a xenogeneic cell line. In certain embodiments, substantially immunologically inert is determined by mixed lymphocyte reaction. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


Arrhythmia can be detected by analysis of an electrocardiogram, which is a test monitoring the electrical activity of the heart, which provides a graph of voltage versus time of the electrical activity of the heart that detects the small electrical changes in the heart that are a consequence of cardiac muscle depolarization followed by repolarization during each cardiac cycle (heartbeat)). Electrocardiograms can be performed at a medical clinic or can be sampled continuously (i.e., smart watch or inpatient telemetry). A person of skill will recognize that electrocardiogram may be performed as an invasive or non-invasive procedure. The skilled person having regard to the teachings herein will be able to select a suitable method for a given application. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting. Additional complementary tests including, but not limited to, electrocardiogram, blood pressure machine, Holter monitor, event monitor, blood tests, echocardiogram, stress test, inpatient telemetry, chest x-ray, smart watch, smart ring, any wearable technology capable of determining heart rate, any equivalent techniques or any combination thereof may be used for diagnosis and/or differential diagnosis of atrial arrhythmia.


Atrial arrhythmias, as taught herein, are a unique class of arrhythmia, which is distinct from other arrhythmias in many ways, such as those arising from the ventricle, including, but not limited to, etiology, pathology, symptoms, treatment options, patient outcomes and patient susceptibility, as discussed in, for example, (Ludhwani, Goyal et al. 2021) and (Nesheiwat, Goyal et al. 2021). Drugs that slow electrical conduction to prevent atrial fibrillation (including but not limited to, for example, flecainide) are contra-indicated in patients with ventricular arrhythmias because they are pro-arrhythmic and increase the risk of death (Ledan 2020). Furthermore, based on the teachings of (Rizvi, DeFranco et al. 2016), a person of skill would recognize chamber-specific differences exist in the mammalian heart, as atrial fibroblasts are different from ventricular fibroblasts.


Atrial arrhythmias may include, but are not limited to, atrial fibrillation, post-operative atrial fibrillation, post-infarction atrial fibrillation, thyrotoxicosis, post-viral atrial fibrillation, alcohol-associated atrial fibrillation, drug-induced atrial fibrillation, viral atrial fibrillation, post-viral atrial fibrillation, COVID-19 atrial fibrillation, post-COVID-19 atrial fibrillation, paroxysmal atrial fibrillation, permanent atrial fibrillation, persistent atrial fibrillation, long-term persistent atrial fibrillation, atrial tachycardia, atrial flutter, familial atrial fibrillation, idiopathic atrial fibrillation, lone atrial fibrillation, and any orphan atrial arrhythmia. Atrial arrhythmias may produce symptoms including, but not limited to, general fatigue, rapid heartbeat, irregular heartbeat, dizziness, shortness of breath, anxiety, syncope, heart failure, neck pounding, weakness, confusion, faintness, sweating, chest pain, chest pressure, chest fluttering, or any combination thereof. In certain embodiments of any of the above compositions or methods, said composition of extracellular vesicles improve one or more symptoms of atrial arrhythmias. In certain embodiments, said composition of extracellular vesicles may reduce the duration of atrial fibrillation, wherein duration may refer to the length of time of a single episode of atrial fibrillation, comprising a reduction of is or more, any values defining a range therein, for example, 1 sec, 2 sec, 3 sec, 4 sec, 5 sec, 6 sec, 7 sec, 8 sec, 9 sec, 10 sec, 11 sec, 12 sec, 13 sec, 14 sec, 15 sec, 16 sec, 17 sec, 18 sec, 19 sec, 20 sec, 21 sec, 22 sec, 23 sec, 24 sec, 25 sec, 26 sec, 27 sec, 28 sec, 29 sec, 30 sec, 31 sec, 32 sec, 33 sec, 34 sec, 35 sec, 36 sec, 37 sec, 38 sec, 39 sec, 40 sec, 41 sec, 42 sec, 43 sec, 44 sec, 45 sec, 46 sec, 47 sec, 48 sec, 49 sec, 50 sec, 51 sec, 52 sec, 53 sec, 54 sec, 55 sec, 56 sec, 57 sec, 58 sec, 59 sec, 60 sec, 1 min, 2 min, 3 min, 4 min, 5 min, 6 min, 7 min, 8 min, 9 min, 10 min, 11 min, 12 min, 13 min, 14 min, 15 min, 16 min, 17 min, 18 min, 19 min, 20 min, 21 min, 22 min, 23 min, 24 min, 25 min, 26 min, 27 min, 28 min, 29 min, 30 min, 31 min, 32 min, 33 min, 34 min, 35 min, 36 min, 37 min, 38 min, 39 min, 40 min, 41 min, 42 min, 43 min, 44 min, 45 min, 46 min, 47 min, 48 min, 49 min, 50 min, 51 min, 52 min, 53 min, 54 min, 55 min, 56 min, 57 min, 58 min, 59 min, 60 min, 1 hr, 2 hrs, 3 hrs, 4 hrs, 5 hrs, 6 hrs, 7 hrs, 8 hrs, 9 hrs, 10 hrs, 11 hrs, 12 hrs, 13 hrs, 14 hrs, 15 hrs, 16 hrs, 17 hrs, 18 hrs, 19 hrs, 20 hrs, 21 hrs, 22 hrs, 23 hrs, 24 hrs, 1 day, 2 days, 3 days, 4 days, 5 days, 6 days, 1 week, 2 weeks, 3 weeks, 4 weeks, 1 month, 2 months, 3 months, 4 months, 5 months, 6 months, 7 months, 8 months, 9 months, 10 months, 11 months, 1 year, 2 years, 3 years, 4 years, 5 years or more. In certain embodiments, said composition of extracellular vesicles may reduce the incidence of atrial fibrillation, wherein incidence may refer to the length of time of a between episodes of atrial fibrillation, comprising a reduction of is or more, any values defining a range therein for example, 1 sec, 2 sec, 3 sec, 4 sec, 5 sec, 6 sec, 7 sec, 8 sec, 9 sec, 10 sec, 11 sec, 12 sec, 13 sec, 14 sec, 15 sec, 16 sec, 17 sec, 18 sec, 19 sec, 20 sec, 21 sec, 22 sec, 23 sec, 24 sec, 25 sec, 26 sec, 27 sec, 28 sec, 29 sec, 30 sec, 31 sec, 32 sec, 33 sec, 34 sec, 35 sec, 36 sec, 37 sec, 38 sec, 39 sec, 40 sec, 41 sec, 42 sec, 43 sec, 44 sec, 45 sec, 46 sec, 47 sec, 48 sec, 49 sec, 50 sec, 51 sec, 52 sec, 53 sec, 54 sec, 55 sec, 56 sec, 57 sec, 58 sec, 59 sec, 60 sec, 1 min, 2 min, 3 min, 4 min, 5 min, 6 min, 7 min, 8 min, 9 min, 10 min, 11 min, 12 min, 13 min, 14 min, 15 min, 16 min, 17 min, 18 min, 19 min, 20 min, 21 min, 22 min, 23 min, 24 min, 25 min, 26 min, 27 min, 28 min, 29 min, 30 min, 31 min, 32 min, 33 min, 34 min, 35 min, 36 min, 37 min, 38 min, 39 min, 40 min, 41 min, 42 min, 43 min, 44 min, 45 min, 46 min, 47 min, 48 min, 49 min, 50 min, 51 min, 52 min, 53 min, 54 min, 55 min, 56 min, 57 min, 58 min, 59 min, 60 min, 1 hr, 2 hrs, 3 hrs, 4 hrs, 5 hrs, 6 hrs, 7 hrs, 8 hrs, 9 hrs, 10 hrs, 11 hrs, 12 hrs, 13 hrs, 14 hrs, 15 hrs, 16 hrs, 17 hrs, 18 hrs, 19 hrs, 20 hrs, 21 hrs, 22 hrs, 23 hrs, 24 hrs, 1 day, 2 days, 3 days, 4 days, 5 days, 6 days, 1 week, 2 weeks, 3 weeks, 4 weeks, 1 month, 2 months, 3 months, 4 months, 5 months, 6 months, 7 months, 8 months, 9 months, 10 months, 11 months, 1 year, 2 years, 3 years, 4 years, 5 years or more. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


Forms of administration may include, but are not limited to, injections, catheters, solutions, creams, gels, implants, pumps, ointments, emulsions, suspensions, microspheres, particles, microparticles, nanoparticles, liposomes, pastes, patches, tablets, capsules, transdermal delivery devices, sprays, aerosols, or other means familiar to one of ordinary skill in the art. Exemplary experimental methods for such determinations are provided in Examples described below. The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting. The person of skill in the art will be able to select a suitable administration method to suit particular applications and/or particular subject needs.


In another embodiment of any of the compositions or methods above, the extracellular vesicles may be administered by single or multiple injections, wherein the number of injections may be determined as a ratio of the total surface area of the tissue being injected. Without wishing to be bound by theory, a non-limiting example, including injection about every 0.01 cm2 to about every 10.00 cm2, any values defining a range therein, for example, 0.01 cm2 to 0.05 cm2, 0.05 cm2 to 0.10 cm2, 0.15 cm2 to 0.20 cm2, 0.25 cm2 to 0.30 cm2, 0.30 cm2 to 0.35 cm2, 0.35 cm2 to 0.40 cm2, 0.40 cm2 to 0.45 cm2, 0.50 cm2 to 0.55 cm2, 0.55 cm2 to 0.60 cm2, 0.60 cm2 to 0.65 cm2, 0.65 cm2 to 0.70 cm2, 0.70 cm2 to 0.75 cm2, 0.75 cm2 to 0.80 cm2, 0.85 cm2 to 0.90 cm2, 0.90 cm2 to 0.95 cm2, 0.95 cm2 to 1.00 cm2, 1.00 cm2 to 1.10 cm2, 1.10 cm2 to 1.20 cm2, 1.20 cm2 to 1.30 cm2, 1.30 cm2 to 1.40 cm2, 1.40 cm2 to 1.50 cm2, 1.50 cm2 to 1.60 cm2, 1.60 cm2 to 1.70 cm2, 1.70 cm2 to 1.80 cm2, 1.80 cm2 to 1.90 cm2, 1.90 cm2 to 2.00 cm2, 2.00 cm2 to 2.10 cm2, 2.10 cm2 to 2.20 cm2, 2.20 cm2 to 2.30 cm2, 2.30 cm2 to 2.40 cm2, 2.40 cm2 to 2.50 cm2, 2.50 cm2 to 2.60 cm2, 2.60 cm2 to 2.70 cm2, 2.70 cm2 to 2.80 cm2, 2.80 cm2 to 2.90 cm2, 2.90 cm2 to 3.00 cm2, 3.00 cm2 to 3.10 cm2, 3.10 cm2 to 3.20 cm2, 3.20 cm2 to 3.30 cm2, 3.30 cm2 to 3.40 cm2, 3.40 cm2 to 3.50 cm2, 3.50 cm2 to 3.60 cm2, 3.60 cm2 to 3.70 cm2, 3.70 cm2 to 3.80 cm2, 3.80 cm2 to 3.90 cm2, 3.90 cm2 15 to 4.00 cm2, 4.00 cm2 to 4.10 cm2, 4.10 cm2 to 4.20 cm2, 4.20 cm2 to 4.30 cm2, 4.30 cm2 to 4.40 cm2, 4.40 cm2 to 4.50 cm2, 4.50 cm2 to 4.60 cm2, 4.60 cm2 to 4.70 cm2, 4.70 cm2 to 4.80 cm2, 4.80 cm2 to 4.90 cm2, 4.90 cm2 to 5.00 cm2, 5.00 cm2 to 5.10 cm2, 5.10 cm2 to 5.20 cm2, 5.20 cm2 to 5.30 cm2, 5.30 cm2 to 5.40 cm2, 5.40 cm2 to 5.50 cm2, 5.50 cm2 to 5.60 cm2, 5.60 cm2 to 5.70 cm2, 5.70 cm2 to 5.80 cm2, 5.80 cm2 to 5.90 cm2, 5.90 cm2 to 6.00 cm2, 6.00 cm2 to 6.10 cm2, 6.10 cm2 to 6.20 cm2, 6.20 cm2 to 6.30 cm2, 6.30 cm2 to 6.40 cm2, 6.40 cm2 to 6.50 cm2, 6.50 cm2 to 6.60 cm2, 6.60 cm2 to 6.70 cm2, 6.70 cm2 to 6.80 cm2, 6.80 cm2 to 6.90 cm2, 6.90 cm2 to 7.00 cm2, 7.00 cm2 to 7.10 cm2, 7.10 cm2 to 7.20 cm2, 7.20 cm2 to 7.30 cm2, 7.30 cm2 to 7.40 cm2, 7.40 cm2 to 7.50 cm2, 7.50 cm2 to 7.60 cm2, 7.60 cm2 to 7.70 cm2, 7.70 cm2 to 7.80 cm2, 7.80 cm2 to 7.90 cm2, 7.90 cm2 to 8.00 cm2, 8.00 cm2 to 8.10 cm2, 8.10 cm2 to 8.20 cm2, 8.20 cm2 to 8.30 cm2, 8.30 cm2 to 8.40 cm2, 8.40 cm2 to 8.50 cm2, 8.50 cm2 to 8.60 cm cm2, 8.60 cm2 to 8.70 cm2, 8.70 cm2 to 8.80 cm2, 8.80 cm2 to 8.90 cm2, 8.90 cm2 to 9.00 cm2, 9.00 cm cm2 to 9.10 cm2, 9.10 cm2 to 9.20 cm2, 9.20 cm2 to 9.30 cm2, 9.30 cm2 to 9.40 cm2, 9.40 cm2 to 9.50 cm2, 9.50 cm2 to 9.60 cm2, 9.60 cm2 to 9.70 cm2, 9.70 cm2 to 9.80 cm2, 9.80 cm2 to 9.90 cm cm2, and 9.90 cm2 to 10.00 cm cm2. In another embodiment, injection may comprise 1 to about 500 injections, including, for example, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, or 500 injections.


Exemplary experimental methods for such determinations are provided in Examples described below.


The skilled person will understand that various changes, alternative techniques, or substitutions may be made to the experimental methods provided in these Examples, and that the following Examples are intended to be non-limiting.


In another embodiment of any of the compositions or methods above, the extracellular vesicle composition may be administered by dosage form in syringe. In certain embodiments, the dosage of the extracellular vesicle composition may be related to the number of particles in a unit volume, such as number of particles per milliliter. In certain embodiments, the dosage of the extracellular vesicle composition may be from about 102 particles/mL to about 1020 particles/mL, any values defining a range therein, including, for example, 1×102 particles/mL to 5×102 particles/mL, 5×102 particles/mL to 1×103 particles/mL, 1×103 particles/mL to 5×103 particles/mL, 5×103 particles/mL to 1×104 particles/mL, 1×104 particles/mL to 5×104 particles/mL, 5×104 particles/mL to 1×105 particles/mL, 1×105 particles/mL to 5×105 particles/mL, 5×105 particles/mL to 1×106 particles/mL, 1×106 particles/mL to 5×106 particles/mL, 5×106 particles/mL to 1×107 particles/mL, 1×107 particles/mL to 5×107 particles/mL, 5×107 particles/mL to 1×108 particles/mL, 1×108 particles/mL to 5×108 particles/mL, 5×108 particles/mL to 1×109 particles/mL, 1×109 particles/mL to 5×109 particles/mL, 5×109 particles/mL to 1×1010 particles/mL, 1×1010 particles/mL to 5×1010 particles/mL, 5×1010 particles/mL to 1×1011 particles/mL, 1×1011 particles/mL to 5×1011 particles/mL, 5×1011 particles/mL to 1×1012 particles/mL, 1×1012 particles/mL to 5×1012 particles/mL, 5×1012 particles/mL to 1×1013 particles/mL, 1×1013 particles/mL to 5×1013 particles/mL, 5×1013 particles/mL to 1×1014 particles/mL, 1×1014 particles/mL to 5×1014 particles/mL, 5×1014 particles/mL to 1×1015 particles/mL, 1×1015 particles/mL to 5×1015 particles/mL, 5×1015 particles/mL to 1×1016 particles/mL, 1×1016 particles/mL to 5×1016 particles/mL, 5×1016 particles/mL to 1×1017 particles/mL, 1×1017 particles/mL to 5×1017 particles/mL, 5×1017 particles/mL to 1×1018 particles/mL, 1×1018 particles/mL to 5×1018 particles/mL, 5×1018 particles/mL to 1×1019 particles/mL, 1×1019 particles/mL to 5×1019 particles/mL and 5×1019 particles/mL to 1×1020 particles/mL.


In another embodiment of any of the compositions or methods above, the dosage of the extracellular vesicle composition may be from about 102 particles to about 1020 particles, any values defining a range therein, including, for example, 1×102 particles to 5×102 particles, 5×102 particles to 1×103 particles, 1×103 particles to 5×103 particles, 5×103 particles to 1×104 particles, 1×104 particles to 5×104 particles, 5×104 particles to 1×105 particles, 1×105 particles to 5×105 particles, 5×105 particles to 1×106 particles, 1×106 particles to 5×106 particles, 5×106 particles to 1×107 particles, 1×107 particles to 5×107 particles, 5×107 particles to 1×108 particles, 1×108 particles to 5×108 particles, 5×108 particles to 1×109 particles, 1×109 particles to 5×109 particles, 5×109 particles to 1×1010 particles, 1×1010 particles to 5×1010 particles, 5×1010 particles to 1×1011 particles, 1×1011 particles to 5×1011 particles, 5×1011 particles to 1×1012 particles, 1×1012 particles to 5×1012 particles, 5×1012 particles to 1×1013 particles, 1×1013 particles to 5×1013 particles, 5×1013 particles to 1×1014 particles, 1×1014 particles to 5×1014 particles, 5×1014 particles to 1×1015 particles, 1×1015 particles to 5×1015 particles, 5×1015 particles to 1×1016 particles, 1×1016 particles to 5×1016 particles, 5×1016 particles to 1×1017 particles, 1×1017 particles to 5×1017 particles, 5×1017 particles to 1×1018 particles, 1×1018 particles to 5×1018 particles, 5×1018 particles to 1×1019 particles, 1×1019 particles to 5×1019 particles and 5×1019 particles to 1×1020 particles. In certain embodiments, the dosage of the extracellular vesicle composition may be related to the total number of particles received. In other embodiments, the dosage of the extracellular vesicle composition may be related to the number of particles received in each individual injection. In certain other embodiments, the dosage of the extracellular vesicle composition may be related to the sum of extracellular vesicles received over multiple injections, said injections may be received at the same time or different times. Pharmaceutical formulations of the present invention can be prepared by procedures known in the art using well-known and readily available ingredients. For example, the compounds can be formulated with common excipients, diluents, or carriers, and formed into tablets, capsules, suspensions, powders, and the like. Examples of excipients, diluents, and carriers that are suitable for such formulations include the following: fillers and extenders (e.g; starch, sugars, mannitol, and silicic derivatives); binding agents (e.g., carboxymethyl cellulose and other cellulose derivatives, alginates, gelatin, and polyvinyl-pyrrolidone); moisturizing agents (e.g., glycerol); disintegrating agents (e.g., paraffin); resorption accelerators (e.g., quaternary ammonium compounds); surface active agents (e.g., cetyl alcohol, glycerol monostearate); adsorptive carriers (e.g., kaolin and bentonite); emulsifiers; preservatives; sweeteners; stabilizers; coloring agents; perfuming agents; flavoring agents; lubricants (e.g., talc, calcium and magnesium stearate); solid polyethyl glycols; and mixtures thereof.


The person of skill in the art will understand that biomolecules and/or compounds described herein may be provided in pharmaceutical compositions together with a pharmaceutically acceptable diluent, carrier, or excipient, and/or together with one or more separate active agents or drugs as part of a pharmaceutical combination or pharmaceutical composition. In certain embodiments, the biomolecules, compounds, and/or pharmaceutical compositions may be administered in a treatment regimen simultaneously, sequentially, or in combination with other drugs or pharmaceutical compositions, either separately or as a combined formulation or combination. In certain embodiments, the extracellular vesicle composition may be administered in a treatment regimen simultaneously, sequentially, or in combination with other drugs, pharmaceutical compositions or treatments, either separately or as a combined formulation or combination, to treat or prevent atrial arrhythmia. In certain embodiments, the extracellular vesicle composition may be administered in a treatment regimen simultaneously, sequentially, or in combination with rhythm control drugs (including but not limited to, for example, flecainide, propafenone, quinidine, sotalol, amiodarone and dronedarone), rate control drugs (including but not limited to, for example, beta blockers, calcium channel blocks and cardiac glycosides) or surgical treatment (including but not limited to, for example, electrical cardioversion, catheter ablation, pacemaker insertion, defibrillator implantation, and the Maze procedure), either separately or as a combined formulation or combination, to treat or prevent atrial arrhythmia.


The compositions can be constituted such that they release the active ingredient only or preferably in a particular location or cell type, and/or possibly over a period of time (i.e., a sustained-release formulation). Such combinations provide yet a further mechanism for controlling release kinetics and distribution. The coatings, envelopes, and protective matrices may be made, for example, from polymeric substances or waxes and the pharmaceutically acceptable carrier. In certain further embodiments of any of the above compositions or methods, the extracellular vesicles are modified to limit their absorption solely to fibroblasts, cardiomyocytes, endothelial cells, and/or immune cells, or any desired cell or tissue type.


As used herein, the expression “differentially expressed” may refer to a change in expression or level for a given factor, such as, but not limited to, a protein, an RNA, an mRNA, a miRNA, biomolecule or any bioactive cellular component from one sample in comparison to another sample. Samples examined for differential expression may be different cell types, different experimental conditions, different genetic manipulations or any other change in parameter that may be known to the person of skill. In certain embodiments, the expression “differentially expressed” may refer to any increase or decrease in expression in a biomolecule or a bioactive cellular component, such as, but not limited to, a protein, an RNA, a miRNA, an mRNA, or any equivalent bioactive component known to a person of skill in the art.


In certain embodiments, the expression “differentially expressed” may refer to a significant increase or decrease in expression in a cellular component, such as but not limited to, a protein, an RNA, a miRNA, an mRNA, or any equivalent bioactive component known to a person of skill in the art. In certain embodiments, the expression “differentially expressed” may refer to a log 2 fold ≥ or ≤1.5 and p-value <0.05 increase or decrease in expression in a bioactive cellular component, such as but not limited to, a protein, an RNA, a miRNA, an mRNA, or any component known to a person of skill in the art.


In certain embodiments, a differentially expressed miRNA may also comprise mRNA target(s) of the differentially expressed miRNA. As would be known to a person of skill, miRNA function by regulating post-transcriptional gene expression, generally through binding to complementary sequences on mRNA transcripts. As such, it is contemplated that in certain embodiments described herein, “differentially expressed miRNA” may include mRNA that may have a putative or predicted miRNA binding site or consensus site for the miRNA(s) that is differentially expressed, and may also encompass protein encoded by mRNA which may contain a putative or predicted miRNA binding site of a differentially expressed miRNA. A person of skill in the art, in light of the teachings herein, would be able to select an appropriate technique or algorithm, such as but not limited to miRWalk (Sticht, De La Torre, et al. 2018), that may provide a list of mRNA target sequences for a given miRNA. In certain embodiments, an algorithm or technique to determine mRNA targets of differentially expressed miRNA may comprise analysis of the 3′UTR and 5′ UTR of mRNAs for miRNA consensus sites or binding sites. In certain embodiments, an algorithm or technique to determine mRNA targets of differentially expressed miRNA may comprise analysis of the 3′UTR of mRNA for miRNA consensus sites or binding sites. In certain embodiments, differentially expressed miRNA may be provided to miRWalk to determine differentially expressed mRNA(s).


In certain embodiments, without wishing to be bound by theory, it is contemplated that one or more differentially expressed components comprising a heart derived extracellular vesicle, may mediate their activity. In certain embodiments, without wishing to be bound by theory, it is contemplated that a plurality of differentially expressed components comprising a heart derived extracellular vesicle, may mediate their activity.


As used herein, the term “unique” may comprise one or more factors that are present in a condition that are not present in another condition, or present in minimal quantities in another condition. In certain embodiments, the term “unique” may refer to a group of factors, such as biomolecules, bioactive components, protein, mRNA, miRNA present in, for example, an extracellular vesicle or extracellular vesicle cargo. It is contemplated that, for example, a unique miRNA may comprise a plurality of miRNA's in combination that is unique or a unique protein may comprise a plurality proteins in combination that is unique. In certain embodiments, the term “unique” may refer to the absence of specific factors, such as bioactive components, proteins, mRNA, miRNA present in, for example, an extracellular vesicle or extracellular vesicle cargo. In certain embodiments, the composition of extracellular vesicles may comprise one or more unique protein(s). In certain embodiments, the composition of extracellular vesicles may comprise one or more unique protein(s) as compared with extracellular vesicles isolated from sources not comprising human heart tissue.


A person of skill, in light of the teachings herein, would appreciate that atrial arrhythmias may be induced, triggered, and/or caused by many factors. A person of skill would appreciate that models, such as but not limited to, sterile pericarditis, ventricular dysfunction, infarction, and coronary artery ligation may induce atrial arrhythmias or increase the likelihood of developing atrial arrhythmias.


In certain embodiments, it is contemplated that human heart derived extracellular vesicles may be applied or delivered to a subject in a gel. In certain embodiments, the gel may be a biomaterial gel. As used herein, a “biomaterial gel” may refer to a gel that is substantially comprised of one or more biological material. In certain embodiments, the gel may be an agarose gel. In certain embodiments, the biomaterial gel may be impregnated with human heart derived extracellular vesicles. Impregnated, as used herein, may refer to the insertion or application of extracellular vesicles into another object or material, such as a gel. Impregnating the material may result in substantially homogenous distribution of extracellular vesicles throughout the material, such that the concentration of vesicles is about equal throughout the material. A person of skill in the art, in light of the teachings herein, would be able to select appropriate conditions, such as but not limited to, agarose type or agarose concentration, to achieve the human heart derived extracellular vesicle impregnated gel.


As used herein, the term “payload” may refer to the components comprising an extracellular vesicle, such as, its cargo. As used herein, the terms “constituents”, “cargo”, and “payload” may be used interchangeably to refer to the factors comprising an extracellular vesicle. As would be known to a person of skill, EV cargo, such as for example proteins and RNA, may be dependent upon tissue cell source, and methodological factors, such as, but not limited to, different media, EV collection conditions, protein quantification techniques, RNA quantification techniques, techniques for the analysis of protein quantification, and techniques for the analysis of RNA quantification. A person of skill would appreciate that comparisons made between samples, such as those containing extracellular vesicles, may be more consistent when fewer variables are changed. As such, a comparison between the EV cargo from different tissues should also use substantially similar techniques to derive, quantify and analyze the EVs to ensure the most accurate results for determination of variable-specific expression level changes or differential expression analysis.


The following examples are provided for illustrative purposes and are intended for the person of skill in the art. These examples are provided to demonstrate certain embodiments as described herein, and should not be seen as limiting in any way.


EXAMPLES
Example 1
Material and Methods
Heart Explant Derived Cell (EDC) Culture and Extracellular Vesicle (EV) Isolation

Human heart explant derived cells (EDCs) were obtained from left atrial appendages donated by patients undergoing clinically indicated heart surgery after informed consent under a protocol approved by the University of Ottawa Heart Institute Research Ethics Board. EDCs were cultured as previously described (Davis, Kizana et al. 2010; Latham, Ye et al. 2013; Mount, Kanda et al. 2019). Briefly, cardiac biopsies were minced, digested with appropriate enzyme, for example, but not limited to GMP-grade blend of collagenase I/II (Roche) and plated within Nutristem® media (Biological Industries) exposed to physiologic (5%) oxygen in a GMP cell manufacturing facility (Mount, Kanda et al. 2019). Once a week for about 4 weeks, EDCs were collected from the plated tissue using TrypLE® Select (Thermo Fischer Scientific) for direct experimentation.


Conditioned media was collected after 48 hours of culture in 1% EV-depleted serum (System Biosciences) and 1% oxygen for centrifugation at 10,000 g for 30 minutes and 100,000 g for 3 hours to pellet EVs (Kanda, Alarcon et al. 2018; Villanueva, Michie et al. 2019). Extracellular vesicle (EV) content, size and surface marker expression were analyzed using acetylcholinesterase activity (Fluoro-Cet, Systems Biosciences), nanoparticle tracking (Nanosight) and candidate antibody array (Exo-Check®, Systems Biosciences) analysis.


EV miRNA and Proteome Analysis


The miRNA content within EDC EVs was profiled using multiplex fluorescent oligonucleotide-based miRNA detection (Human v3, Nanostring), as previously described (Kanda, Alarcon et al. 2018; Villanueva, Michie et al. 2019). Briefly, RNA was extracted (QIAGEN) and quantified (Agilent 2100 Bioanalyzer, Agilent) prior to profiling (Counter Human V3 miRNA Expression Assay). Image quality was evaluated (nSolver®) and discarded if the percent field of view and sample binding density exceeded prespecified standards. Background subtraction was performed using the mean of negative controls plus two standard deviations. Counts were normalized using trimmed-mean of M values and differentially expressed miRNA were identified using the generalized linear model likelihood-ratio-test.


EDC EVs were lysed (8 M urea, 100 mM HEPES, 5% glycerol, and 0.5% n-dodecyl 3-d-maltoside; Thermo Fischer Scientific), reduced (tris(2-carboxyethyl) phosphine alkylated with iodoacetamide), and digested (1.5 μL of 0.3 μg/L trypsin/Lys-C solution; Promega) prior to formic acid treatment, desalination (C18 TopTips; Glygen) and vacuum drying. Protein samples were analyzed using an Orbitrap Fusion mass spectrometer (Thermo Fisher Scientific) coupled to a UltiMate 3000 nanoRSLC (Dionex, Thermo Fisher Scientific) as previously described (Risha, Minic et al. 2020). Using MaxQuant software, peptides were searched against the human Uniprot FASTA database with a false discovery rate of 1% (Cox and Mann 2008). Pathway analysis terms were extracted from the Reactome database (Sidiropoulos, Viteri et al. 2017) for network analysis (Cytoscape) (Merico, Isserlin et al. 2010). Only proteins found in at least 2 biological replicates were considered for analysis.


Flow cytometry was performed on EVs that were individually labelled for CD9 (312106, BioLegend), CD63 (353004, BioLegend), or CD81 (349506, BioLegend) using a CytoFLEX S Beckman Coulter flow cytometer (Welsh, Jones et al. 2020). Light scatter was calibrated using National Institute of Standards and Technology Traceable Size Standards (Thermo Fischer Scientific) while fluorescence was calibrated using Molecules of Equivalent Soluble Fluorochrome beads (BD Biosciences) for analysis using FCMPASS (v3.07, National Cancer Institute) and FlowJo (V10.7, BD Biosciences) (Welsh and Jones 2020).


Atrial Fibroblast Isolation

Primary cultures of rat atrial fibroblasts were isolated from the hearts of 8-9-week-old Sprague-Dawley rats using an enzymatic digestion (Collagenase Type II, Worthington Biochemical) at 37° C. Cells were cultured in 5% CO2 in Dulbecco's Modified Eagle high glucose Medium (DMEM), supplemented with 10% fetal bovine serum (FBS), 1% 1-glutamine and 1% penicillin-streptomycin (Thermo Fischer Scientific). Second or third generation fibroblasts were used in all subsequent experiments.


EV Uptake In Vitro

The uptake of EVs in cardiac cells was evaluated in a series of cell lines using flow cytometry. Rat atrial fibroblasts, neonatal rat ventricular cardiomyocytes and human umbilical vein endothelial cells (HUVECs; Lonza) were cultured in 108 EVs labelled with 1,1′-Dioctadecyl-3,3,3′,3′-Tetramethylindocarbocyanine Perchlorate (Dil). Neonatal rat ventricular myocytes (NRVMs) were prepared as described from 2 day old Sprague-Dawley rats (Harlan) (Kapoor, Liang et al. 2013; Liang, Yuan et al. 2015). HUVECs were cultured according to the manufacturer's directions.


In Vivo Efficacy Study

Female and male Sprague-Dawley rats (6 months old, Charles River) underwent induction of sterile pericarditis or sham operation under a protocol approved by the University of Ottawa Animal Care Committee. The detailed protocol was registered a priori within the Open Science Framework. A one-way study was designed to test if intramyocardial injection of EDC EVs at the time of sterile pericarditis induction significantly reduced the incidence of AF by invasive electrophysiological testing (primary outcome). A rat model of sterile pericarditis following talc application was used (Huang, Chen et al. 2016). To increase the rigour and reproducibility of the study for post-operative atrial fibrillation (POAF), we studied 6-month-old female and male rats. We assumed the incidence of AF would be 0.6 after talc treatment and that EV treatment would reduce AF incidence to 0.2. Sex was assumed not to alter the incidence of inducible AF. Based on these assumptions, group sample sizes of 34 rats (17 female+17 male) would achieve an 83% power to detect superiority using a two-sided Mann-Whitney test (probability of a false positive result (alpha error)=0.05).


Rats were fed rat chow and housed under a 12:12-hour light/dark cycle at 21° C. and 50% humidity. All animals had free access to tap water and food. After preoperative buprenorphine (0.03 mg/kg subcutaneous), rats were anesthetized with 3% isoflurane, intubated, and ventilated. The thorax was shaved and sterilized with 2% w/v chlorhexidine gluconate in 70% v/v isopropyl alcohol. Animals were then randomized to sham operation (n=24; 12 female, 12 male), induction of sterile pericarditis with intramyocardial injection of 108 atrial EVs (n=35; 18 female, 17 male), or induction of sterile pericarditis with intramyocardial injection of vehicle (n=34; 17 female, 17 male) using a sealed envelope approach. Animals randomized to sterile pericarditis underwent a thoracotomy and the atrial surfaces were generously dusted with sterile talcum powder (Thermo Fischer Scientific). Animals randomized to sham underwent a superficial incision that was closed in a manner indistinguishable from thoracotomy animals. Intramyocardial injections were performed using a total volume of 100-μL injected using a Hamilton microsyringe (31-gauge needle) into the left atrial wall at 5 separate injection points (Cardin, Guasch et al. 2012). After surgery, animals were placed in a 30° C. incubator with supplemental oxygen and moistened food until they returned to a physiological state. Additional doses of buprenorphine (0.03 mg/kg subcutaneous) were administered 6 and 12 hours postoperatively. A University of Ottawa Animal Care Technician monitored animals twice daily for 2 days after surgery. Lab staff was blinded to the treatment received and analysis was conducted by individuals blinded to group allocation. Group allocations were kept in a separate password protected list for unblinding after analysis of primary study outcome was completed. Ninety-six rats underwent surgery, and all completed the study with no adverse events or protocol deviations (FIG. 22).


Three days after surgery, all rats underwent invasive electrophysiological testing (Cardin, Guasch et al. 2012). After intraperitoneal injection of sodium pentobarbital (40 mg/kg), a 1.6F octopolar catheter with 1 mm interelectrode spacing (Millar) was inserted into the right atrium via the jugular vein for stimulation and recording. The surface electrocardiogram and intracardiac electrograms was continuously monitored (AD Instruments). Atrioventricular nodal refractory period was determined as the longest S1-S2 interval that failed to conduct to the ventricle using twice-threshold, 2-ms, square-wave pulses after a 10-stimulus drive train (S1, 100-ms cycle length) followed by an S2 decremented in 2-ms intervals. If that failed to induce AF, 10-30 seconds of atrial burst pacing was performed at cycle lengths that ranged between 20 and 80 ms. AF was defined as rapid and fragmented atrial electrograms, the absence of discernible P waves on the surface electrocardiogram and an irregular ventricular rhythm that lasted for at least 500 ms (Kapoor, Liang et al. 2013). The total time of the AF episode was defined as the sum of the AF duration from the longest AF episode recorded. At the end of the study, rats were sacrificed by exsanguination under pentobarbital anesthesia after displaying absence of withdrawal reflex to toe pinch.


Histolomical analysis and quantification of fibrosis Atria were collected, fixed and sectioned for histological analysis of inflammatory infiltrates (hematoxylin and eosin (H&E), activated T lymphocytes (CD3 (ab16669, abcam) and CD4 (ab237722, abcam), macrophage infiltration/polarization (CD68 (ab125212, abcam) and CD163 (ab182422, abcam) and neutrophils (CD11b (ab133357, abcam)). Hematoxylin and eosin staining was quantified using freely available ImageJ software with the color deconvolution plugin, which separates the hematoxylin component and the eosin component, allowing for each stain to be quantified separately. The total tissue area was determined on the whole section while the area of infiltrates was determined using ImageJ's threshold, obtained after H&E colour deconvolution. This allowed calculation of the percentage of infiltrates (infiltrates divided by whole area) (Gray, Wright et al. 2015; El Harane, Kervadec et al. 2018).


Left atria collagen content was quantified using an unbiased measure of hydroxyproline measurement which reflects the overall degree of myocardial fibrosis (Jamall, Finelli et al. 1981; He, Gao et al. 2011).


Atrial Fibroblast Transcriptome Analysis

The influence of EV treatment on atrial gene expression was evaluated using RNA sequencing (RNAseq). After atrial RNA isolation, rRNA was removed (Ribo-Zero rRNA Removal Kit, Illumina) for cDNA library preparation followed by sequencing (45 million reads per sample). Reads were first mapped using Bowtie2 prior to gene expression quantification (RSEM v1.2.15. TMM). Genes with a 1.5-fold change in expression (p<0.05) were considered differentially expressed for Ingenuity pathway and network analysis (Qiagen).


Inflammatory Cytokines

Atrial tissue was minced and homogenized using a tissue homogenizer (TissueRuptor, Qiagen) according to the manufacturer's protocol. Inflammatory cytokines and chemokines were measured using a multiplex Luminex-based assay (LXSARM, R&D Systems). Each sample was run in duplicate in a 96-well plate. Four analytes (IL13, IL2, IL18, TNFα) were measured using a MAGPIX system (C4447b).


Acquired mean fluorescence data were analyzed and calculated by the xPONENT software. IL-6 (ERA32RB, Invitrogen), PDGF-AB (ab213906, abcam) and MCP-1 (ab100778, abcam) were quantified using commercially available enzyme-linked immunosorbent (ELISA) assays.


Fibroblast Proliferation

Post-operative atrial fibrillation (POAF) was modeled by exposing normal rat atrial fibroblasts to interleukin-6 (IL-6) or transforming growth factor beta 1 (TGFβ1) to recapitulate the inflammatory in vivo environment (Narikawa, Umemura et al. 2018). Proliferation of atrial fibroblasts at baseline and after treatment with IL6, TGFβ1, and/or EDC EVs was evaluated by staining for the nuclear incorporation of the thymidine analogue 5-ethynyl-2′-deoxyuridine (EdU) (17-10525; Millipore) and DAPI. Manual cell counts were performed to confirm the findings. Population doubling time was measured using WST-8 assay (Dojindo). Cell cycle distribution was evaluated using flow cytometry according to the manufacturer's instructions (4500-0220, Guava). Briefly, fibroblasts were cultured in serum free media for 24 hours prior to 24 hours of culture within 108 atrial EVs, IL-6, TGFβ1, aphidicolin (APC) (Sigma), used as a G1 cell arrest control, or vehicle. Flow cytometry was performed to quantify populations within G0/G1, S, and G2/M phases of cell cycle for each treatment (Guava, Millipore Sigma). To further explore the effect of EDC-EVs on atrial fibroblasts, commercially available enzyme-linked immunosorbent (ELISA) assays were performed to look at the molecular regulators of cell cycle progression. Briefly, atrial fibroblasts were lysed according to the manufacturer's instructions and ELISAs were performed for Cyclin A2 (MBS7211946, MyBioSource), Cyclin B1 (MBS9328611, MyBioSource), Cyclin D (MBS721009, MyBioSource) and Cyclin E (MBS1600300, MyBioSource).


Statistical analysis All statistical tests used and graphical depictions of data (means and error bars, or box and whisker plots) are defined within the figure legends for the respective data panels. All data is presented as mean±standard error of the mean. To determine if differences existed within groups, data was analyzed by a one-way or repeated measures ANOVA (SPSS v20.0.0); if such differences existed, Bonferroni's corrected t-test was used to determine the group(s) with the difference(s). In all cases, variances were assumed to be equal and normality was confirmed prior to further post-hoc testing. Differences in categorical measures were analyzed using a Chi Square test. A final value of P<0.05 was considered significant for all analyses.


Results

Human atrial EVs contain anti-fibrotic anti-inflammatory transcripts and proteins Human EDCs were cultured in a clinical cell manufacturing facility from atrial appendage biopsies using serum-free xenogen-free culture conditions (Mount, Kanda et al. 2019). EVs were isolated from conditioned media after 48 hours in 1% oxygen, basal media conditions (Kanda, Alarcon et al. 2018; Mount, Kanda et al. 2019). In keeping with accepted definitions, EDC EVs represented a polydisperse population of particles that ranged from 95 to 170 nm (132±7 nm). These microparticles contained transmembrane (CD63, CD81, FLOT1, ICAM1, EpCam) and cytosolic (ALIX, ANXA5 and TSG101) markers indicative of EV identity (Lotvall, Hill et al. 2014) while lacking evidence for cellular contaminants (GM130; FIG. 2). Flow cytometry demonstrated significant enrichment of micro-particles with the prototypical EV markers CD9, CD63, CD81 (FIGS. 3-4). Interestingly, there were fewer particles that expressed CD81 (˜2-fold less, p<0.05 vs. CD9 or CD63) while smaller particles were more apt to express CD63 (p<0.05 vs. CD9 or CD81) (FIGS. 3B-C). Acetylcholinesterase activity was also present and correlated with nanoparticle particle tracking content. Thus, confirming the presence of a functional extracellular membrane-bound protein associated with EVs and providing a rapid means of confirming EV concentration.


The cargo within EDC EVs was enriched with 83 miRNA transcripts associated with reducing inflammation, stimulating angiogenesis, and suppressing fibrosis (FIG. 5, Table 1). Interestingly, the most abundant miRNAs (1000+counts) were associated with altered cell division/proliferation (let-7a, miR23a and miR-199a) and fibrosis (let-7a and miR-199a). Although EDC EVs contained miR-21, a transcript known to promote fibrosis and AF susceptibility (Cardin, Guasch et al. 2012), they lacked all other known pathological transcripts (miR-1 (Girmatsion, Biliczki et al. 2009)), miR-133 (Tsoporis, Fazio et al. 2018), miR-328 (Small, Frost et al. 2010) and miR-590 (Shan, Zhang et al. 2009)) and included miRNAs associated with reduced fibrotic atrial remodeling (miR-26 (Luo, Pan et al. 2013) and miR-29 (van Rooij, Sutherland et al. 2008)). Within the 811 proteins identified within EDC EVs (FIGS. 6-7), the proteome was enriched with 196 proteins associated with inflammation (Wilcoxon rank sum test p<0.003) which directly influenced both chemotaxis (i.e., annexin A1 and annexin-5) (Lim, Solito et al. 1998; Ewing, de Vries et al. 2011; Burgmaier, Schutters et al. 2014; Vital, Becker et al. 2016; de Jong, Pluijmert et al. 2018), and macrophage function (i.e., galectin-1, hemopexin and thioredoxin) (Correa, Sotomayor et al. 2003; Liang, Lin et al. 2009; El Hadri, Mahmood et al. 2012; Jung, Kwak et al. 2017; Canesi, Mateo et al. 2019). Among the 28 proteins implicated in fibrosis, decorin (a transforming growth factor 1 beta (TGF-β1) inhibitor) and matrix metalloproteinase 2 were highly expressed (Onozuka, Kakinuma et al. 2011; Radbill, Gupta et al. 2011; Baghy, Iozzo et al. 2012; Parichatikanond, Luangmonkong et al. 2020). Enrichment mapping of the EV proteome predicted important roles in cell cycle regulation, inflammation and cellular signaling.


Taken together, this data supports the notion that EDCs produce a defined EV product containing an anti-fibrotic, anti-inflammatory cargo with the potential to alter the fundamental drivers of POAF.


TABLE 1 shows exemplary miRNA identified using multiplex fluorescent oligonucleotide-based miRNA detection within extracellular vesicles derived from heart explant derived cells. hsa, Homo sapiens

















Average



miRNA
Counts



















hsa-miR-23a-3p
2355



hsa-miR-199a-3p +
2326



hsa-miR-199b-3p



hsa-miR-4454 +
1426



hsa-miR-7975



hsa-let-7a-5p
1221



hsa-let-7b-5p
1122



hsa-miR-125b-5p
743



hsa-miR-100-5p
453



hsa-miR-29b-3p
450



hsa-miR-21-5p
362



hsa-miR-191-5p
279



hsa-miR-199b-5p
230



hsa-miR-29a-3p
224



hsa-miR-22-3p
195



hsa-let-7i-5p
178



hsa-miR-181a-5p
159



hsa-miR-25-3p
139



hsa-miR-127-3p
131



hsa-let-7g-5p
117



hsa-miR-15b-5p
112



hsa-miR-320e
112



hsa-miR-221-3p
109



hsa-let-7d-5p
108



hsa-miR-16-5p
106



hsa-miR-424-5p
102



hsa-miR-3180
102



hsa-miR-374a-5p
101



hsa-miR-15a-5p
98



hsa-miR-130a-3p
96



hsa-miR-376a-3p
92



hsa-miR-199a-5p
92



hsa-miR-222-3p
90



hsa-miR-4286
89



hsa-miR-4516
70



hsa-miR-34a-5p
65



hsa-miR-1255a
64



hsa-miR-365a-3p +
63



hsa-miR-365b-3p



hsa-miR-323a-3p
60



hsa-let-7c-5p
59



hsa-miR-27b-3p
58



hsa-miR-134-3p
57



hsa-miR-451a
52



hsa-miR-23b-3p
50



hsa-miR-423-5p
50



hsa-miR-28-5p
49



hsa-miR-125a-5p
49



hsa-miR-24-3p
49



hsa-miR-382-5p
48



hsa-miR-1228-3p
48



hsa-miR-20a-5p +
47



hsa-miR-20b-



hsa-let-7e-5p
45



hsa-miR-18a-5p
43



hsa-miR-337-5p
43



hsa-miR-320e
42



hsa-miR-106a-5p +
42



hsa-miR-17-



hsa-miR-19b-3p
41



hsa-miR-140-5p
40



hsa-let-7f-5p
39



hsa-miR-323a-5p
37



hsa-miR-148a-3p
35



hsa-miR-132-3p
32



hsa-miR-136-5p
30



hsa-miR-376c-3p
30



hsa-miR-379-5p
30



hsa-miR-26a-5p
29



hsa-miR-202-3p
29



hsa-miR-1290
29



hsa-miR-154-5p
27



hsa-miR-214-3p
27



hsa-miR-377-3p
27



hsa-miR-381-3p
25



hsa-miR-188-5p
25



hsa-miR-26b-5p
25



hsa-miR-363-3p
24



hsa-miR-337-3p
24



hsa-miR-137
23










Intramyocardial Injection of Human EVs Reduce Inflammation, Fibrosis and AF in a Rat Model of Sterile Pericarditis

The antiarrhythmic potential of EDC EVs was explored using a rat model of sterile pericarditis (Huang, Chen et al. 2016) whereby all animals underwent open-chest surgery before randomization to epicardial application of talc or no talc. Immediately after epicardial application of talc, animals were randomized again to intra-atrial injection of EVs or vehicle (saline; FIG. 9). As outlined in FIG. 22, all animals survived the initial surgery while 3 vehicle treated animals died because of anesthetic overdose prior to the second procedure. Three days after open-chest surgery, treatment with EVs reduced the probability of inducing AF by 40% (p<0.01 vs. vehicle alone, FIGS. 10-11). Recipient sex did not alter this effect. In animals that experienced AF, neither EV treatment or recipient sex significantly altered AF duration (FIG. 12); although this observation may be attributable to the low number of sham and EV treated animals that experienced AF and the non-parametric distribution of AF duration.


Pericarditis, EV treatment and recipient sex had no effect on electrocardiographic or electrophysiological measures of cardiac function (Table 2). As shown in FIG. 13, EV treatment prevented atrial fibrosis (45±19% reduction in hydroxyproline content, p=0.01 vs. vehicle alone) and enlargement (41±15% reduction in atrial/body weight, p=0.01 vs. vehicle alone).


Table 2 shows the effect of EVs on electrocardiographic and electrophysiological function. AVERP, atrioventricular nodal refractory period; EV, extracellular vesicles; veh, vehicle.



















RR (ms)
PR (ms)
QRS (ms)
QT (ms)
AVERP (ms)





















Female







Sham
174 ± 16
49 ± 5
19 ± 3
93 ± 8 
77 ± 10


Talc + veh
163 ± 17
48 ± 3
18 ± 3
87 ± 12
76 ± 11


Talc + EV
169 ± 32
49 ± 4
17 ± 2
94 ± 15
80 ± 9 


Male


Sham
181 ± 18
47 ± 3
20 ± 2
97 ± 8 
74 ± 13


Talc + veh
157 ± 12
46 ± 4
18 ± 2
88 ± 9 
76 ± 10


Talc + EV
166 ± 16
47 ± 4
18 ± 3
89 ± 11
77 ± 10









EVs Prevent Inflammation

Open chest surgery results in loss of the pericardial mesothelial cells which provokes inflammatory infiltration and an ensuing fibrinous reaction. The influence of human EVs on inflammation was first evaluated using atrial histology of EV treated mice. As shown in FIG. 14, sterile pericarditis markedly increased the inflammatory infiltrate detected in atrial sections (6±1 fold increase, p<0.001 vs. baseline). EV injection attenuated the inflammatory effect of talc as the inflammatory infiltrate was halved (45±24% less; p<0.001 vs. vehicle treatment). This decrease reflected the reduction in pro-inflammatory cytokines found in treated atria (FIG. 15). Sterile pericarditis alone resulted in the prototypical increases of pro-inflammatory cytokines IL1β, IL2, IL6, IL18, MCP1, PDGF-AB and TNFα. Intramyocardial injection of EVs prevented a rise in a number of these cytokines (IL2, IL6, PDGF-AB and TNFα) while attenuating the observed increase in others (IL1β, IL18).


EVs Directly Prevent the Malignant Transformation of Atrial Fibroblasts

Fibroblasts comprise almost 75% of the cells within the heart (Yue, Xie et al. 2011). When fibroblasts are activated by profibrotic stimuli, they proliferate and differentiate into myofibroblasts which can have adverse effects on atrial structure and electrophysiological function. Given that interfering with atrial fibroblast proliferation reduces fibrosis and AF burden (McRae, Kapoor et al. 2019), we explored the influence of EVs on atrial fibroblast proliferation. POAF was modeled by exposing normal rat atrial fibroblasts to interleukin-6 (IL6) or transforming growth factor beta 1 (TGFβ1) (Narikawa, Umemura et al. 2018). As shown in FIGS. 16-18, IL6 and TGFβ1 increased proliferation as evidenced by increases in manual cell counts and 5-ethynyl-2′-deoxyuridine (EdU) incorporation. Application of EVs at the time of IL6/TGFβ1 exposure reduced fibroblast proliferation back to baseline.


Flow cytometry was then used to profile the effects of EVs on cell cycle kinetics (FIG. 19). Fibroblasts grown in high serum conditions demonstrated progression through the cell cycle (G0/G1, S, and G2/M phases). Anaphase-promoting complex (APC) promoted degradation of cell cycle proteins and cells accumulated in the G0/G1 phase. IL6 and TGFβ1 reduced the proportion of fibroblasts within G0/G1 phase by 15±4% (p=0.004 vs. baseline) and 15±8% (p=0.005 vs. baseline) while increasing the proportion of cells in the proliferative S+G2M phases by 24±7% (p=0.01 vs. baseline) and 24±12% (p=0.01 vs. baseline), respectively. Co-administration of EVs abrogated the effects of each cytokine on the proportional changes in G0/G1 and S+G2M fibroblasts (p=ns vs. baseline). Fibroblast cultures were then interrogated to identify which cyclins within the regulatory machinery underlying cell cycle progression was modified by EV treatment. As shown in FIG. 20, treatment with IL6 or TGFβ1 increased the content of cyclins A2, B1 and E while decreasing the content of cyclin D well below baseline expression. Co-administration with EDC EVs attenuated these effects with cyclins levels often normalizing after treatment. Interestingly, EV treatment decreased expression of cyclin B1 below baseline in a manner consistent with the observed effects on proliferation.


Example 2
Materials and Methods

Explant-derived cells were cultured from human atrial appendages in a clinical-grade cell manufacturing facility using serum-free xenogen-free culture conditions. Increasing doses of EVs (106, 107, 108 or 109, n=10-17/group) or vehicle control (n=17) were injected into the atria of middle-age male Sprague-Dawley rats (6 months old) at the time of talc application. A sham control group was included to demonstrate background inducibility (n=12). Three days after surgery, all rats underwent invasive electrophysiological testing prior to sacrifice. Atrial fibrosis was evaluated using hydroxyproline while inflammation was quantified using candidate cytokine profiling.


Results

Pericarditis increased the likelihood of inducing AF (p, 0.05 vs. sham). All doses decreased the probability of inducing AF with maximal effects seen after treatment with the highest dose (109, p<0.05 vs. vehicle; FIG. 24A). Pericarditis increased atrial fibrosis while EV treatment limited the effect of pericarditis on atrial fibrosis with maximal effects seen after treatment with 108 or 109 EVs (FIG. 24B). Enzyme-linked immune assay-based analysis of atrial tissue lysate revealed that increasing EV dose was associated with progressive decreases in pro-inflammatory cytokine content (FIG. 24C).


Example 3
Materials and Methods

Middle aged female Sprague-Dawley rats (6 months old) were randomized to sham operation (n=17), or induction of sterile pericarditis followed by 0.1 mg/kg daily colchicine (n=15), 0.5 mg/kg daily colchicine (n=15), a single intra-atrial injection of 109 human EVs (n=17) or a single intra-atrial injection of vehicle alone (n=12). Treatment with colchicine began 1 day before pericardiotomy and was continued every day until sacrifice. Explant-Derived Cells were cultured from human atrial appendages in a clinical-grade cell manufacturing facility using serum-free xenogen-free culture conditions. Three days after surgery, all rats underwent invasive electrophysiological testing prior to sacrifice. Atrial fibrosis was evaluated using hydroxyproline while inflammation was quantified using candidate cytokine profiling. Homogenized atrial tissue was used for measurement of cytokines and hydroxyproline.


Results

Pericarditis increased the likelihood of inducing AF (p<0.05 vs. sham). All doses decreased the probability of inducing AF with maximal effects seen after treatment with the highest dose (109, p<0.05 vs. vehicle; FIG. 25A). Pericarditis increased atrial fibrosis while EV treatment limited the effect of pericarditis on atrial fibrosis with maximal effects seen after treatment with 108 or 109 EVs (FIG. 25B). Enzyme-linked immune assay-based analysis of atrial tissue lysate revealed that increasing EV dose was associated with progressive decreases in pro-inflammatory cytokine content (IL-6 and MCP-1) (FIG. 25C).


Example 4
Materials and Methods

Female Sprague Dawley rats were randomized to undergo left coronary artery (LCA) ligation, which results in progressive left ventricular dysfunction, hypocontractility, left atrial dilation, fibrosis, refractoriness prolongation, and AF promotion as compared to sham (Cardin, Guasch et al. 2012). Four weeks later, echocardiographic studies were used to select rats with large infarcts (Cardin, Guasch et al. 2012). Left ventricular regional wall motion were scored in LV short axis for the 6 segments in this view as follows: (1) normal, (2) hypokinesia, (3) akinesia, (4) dyskinesia, and (5) aneurysmal. Wall motion score index (WMSI) is the mean value of all scores. Rats with WMSI less than 1.65 2 weeks after MI were excluded from the study (≈25% of the initial cohort) (Cardin, Guasch et al. 2012). All animals were then randomized to epicardial atrial injection of: 1) vehicle (saline) alone or 2) EVs. 109 EVs were injected at 5 sites within the left atria (Cardin, Guasch et al. 2012). Lab staff were blinded to the treatment received and all analysis were conducted by individuals blinded to group allocation. Group allocations were kept in a separate password protected list for unblinding after analysis of study outcomes is completed.


Eight weeks after LCA ligation, invasive hemodynamics were measured using a standard Millar catheter/recording system ((Tilokee, Latham, et al. 2016), (Jackson, Tilokee et al. 2015)) prior to electrophysiological testing. For electrophysiological testing, an octopolar catheter was inserted into the right atrium via the jugular vein for stimulation and recording of atrial effective refractory periods, Wenckebach cycle length, and corrected sinus node recovery time using twice-threshold (2-ms) square-wave pulses. AF was induced with up to 3 extrastimuli at a cycle length of 100 ms and, if that failed, atrial burst pacing. AF was defined as a rapid and irregular atrial rate (>500 beats per minute) with varying electrogram morphology (Cardin, Guasch et al. 2012). After electrophysiological testing, animals were sacrificed and hearts collected for mechanistic studies.


Results

EV treatment after LCA ligation significantly decreased atrial fibrillation in comparison to the control treatment (FIG. 26).


Example 5
Materials and Methods

Male C57 mice were fed mice chow and housed under a 12:12-hour light/dark cycle at 21° C. and 50% humidity. All animals had free access to tap water and food. After preoperative, mice were anesthetized with 2-3% isoflurane, intubated, and ventilated. The thorax was shaved and sterilized with 2% w/v chlorhexidine gluconate in 70% v/v isopropyl alcohol. Animals then underwent induction of sterile pericarditis by dusting the atrial surface with sterile talcum powder (Thermo Fischer Scientific) followed by epicardial atrial application of an inert agarose gel (n=6) or an EV impregnated agarose gel (n=6) using a sealed envelope approach. After surgery, animals were placed in a 30 degrees Celsius incubator with supplemental oxygen and moistened food until they returned to a physiological state. Additional doses of buprenorphine were administered 6 and 12 hours postoperatively. A University of Ottawa Animal Care Technician monitored animals twice daily for 2 days after surgery. Investigative staff were blinded to the treatment received and analysis was conducted by individuals blinded to group allocation. Group allocations were kept in a separate password-protected list for unblinding after analysis of the primary study outcome was completed.


Three days after surgery, mice were sacrificed by exsanguination under pentobarbital anesthesia after displaying absence of withdrawal reflex to toe pinch. Atria were fixed and sectioned for histological analysis of fibrosis by staining for Masson Trichrome (Sigma). Left atrial collagen (n=3) was quantified based on hydroxyproline content measurement (K555-100, BioVision).


Results

EV treatment using a biomaterial gel significantly decreased hydroxyproline content of the atria (54±11 pg vs. 135±12 pg, p=0.01 vs. gel alone) and provided a strong trend towards reduced Masson Trichrome scar (23±5 vs. 35±4 mean % cross-sectional area, p=0.10, n=3) and atrial mass (0.10±0.01 vs. 0.18±0.04 ratio of left atrial to body weight, p=0.06, n=6).


Example 6
Material and Methods

Explant-derived cell conditioned media during 48 hours of culture in 1% EV-depleted serum (System Biosciences) at 1% oxygen was used to isolate EVs using ultracentrifugation (Kanda, Alarcon et al. 2018; Villanueva, Michie et al. 2019). EVs were labelled by treating EDCs with the lipophilic carbocyanine dye 1,1′-dioctadecyl-3,3,3′,3′-tetramethylindodicarbocyanine (DiD, Sigma) prior to conditioned media generation.


Cells were seeded in 6-well plates and incubated at 37 degrees Celsius and 5% oxygen. Once at 70-80% confluency, 108 EVs were added to the cells and plates were placed back in the incubator for a set period (10 mins, 1 h, 3 h or 24 h). After incubation, cells were gently washed with PBS, trypsinated and resuspended in final volume of 200 μL PBS. Suspensions were kept on ice at all times until analysis. For each replicate, a control point consisting of cells incubated in the same conditions without addition of EVs was added. Flow cytometric measurements were performed with a Guava® easyCyte Flow Cytometer and data was analyzed with guavaSoft 2.7. The percentage of positive cells was defined using control wells as a baseline.


Results

To probe for evidence of differential uptake, we evaluated the rate and extent of DiD labelled EV uptake in atrial fibroblasts (AF), cardiomyocytes, endothelial cells, and macrophages at baseline in vitro (FIG. 27). The potential for off-target effects was probed using brain, kidney, pulmonary, and liver cells. Flow cytometry revealed that mouse macrophages avidly took up DiD labelled EVs with 18±10% staining positive for DiD 10 minutes after exposure. Interestingly, this uptake rapidly plateaued with only 69±2% staining positive for DiD after 24 hours. In contrast, primary rat AFs and HUVECs also demonstrated brisk uptake of DiD labelled EVs (62±8% and 73±10% at 3 hours, respectively) which increased to 96±4% and 95±4% after 24 hours, respectively. Pulmonary microvascular endothelial cells demonstrated negligible EV uptake after 3 hours, but this climbed to 83±8% after 24 hours of continuous exposure. NRVMs demonstrated slow gradual uptake over the first 3 hours (25±4%) which peaked at 44±11% after 24 hours of exposure. Kidney HEK cells showed negligible uptake at 1 h but reaching 72±11% after 24 hours. Liver HepG2 cells demonstrated very little uptake (<1%) over the first hours with less than 46±11% of cells taking up EVs after 24 hours of exposure.


Example 7
Materials and Methods
Cell Culture & EV Isolation

BM-MSCs were isolated from bone marrow samples collected from healthy volunteers enrolled in the Cellular Immunotherapy for Septic Shock (CISS) trial under protocols approved by Ottawa Hospital Research Ethics Board (McIntyre, Stewart, et al. 2018). HDCs were isolated from atrial appendage tissue collected from patients undergoing clinically indicated surgery under protocols approved by the University of Ottawa Heart Institute Research Ethics Board (Mount, Kanda, et al. 2019; Latham, Ye, et al. 2013; Davis, Kizana, et al. 2010). In collaboration with the Centre for Regenerative Therapies in Dresden, UC-MSCs were isolated from primary UC cell isolates under protocols approved by Ottawa Hospital Research Ethics Board (McIntyre, Stewart, et al. 2018). All cell products were manufactured to clinical grade release standards in Biospherix units at the Ottawa Hospital Cell Manufacturing Facility. BM-MSCs were cultured in NutriStem XF media (Sartorius) under 21% oxygen conditions (McIntyre, Stewart, et al. 2018). HDCs were culture in NutriStem XF media at 5% oxygen conditions (Mount, Kanda, et al. 2019). UC-MSCs were cultured in Dulbecco's Modified Eagle Medium (ThermoFisher Scientific) with 10% clinical grade platelet lysate (Mill Creek Life Sciences) at 5% oxygen conditions.


When cells reached 70% confluency, culture media was replaced with condition media (BM-MSC and HDCs: NutriStem XF basal media, UC-MSC: Dulbecco's Modified Eagle Medium with high glucose and 1% platelet lysate). After 48 hours of conditioning at 1% oxygen, media was collected for EV isolation. EVs were isolated using ultracentrifugation (10,000 g×30 minutes and 100,000 g×3 hours) (Villaneuva, Michie, et al. 2019; Kanda, Benavente-Babace, et al. 2020).


Nanoparticle Tracking System The size and concentration of EV preparations were analyzed using NanoSight LM10 equipped with a blue laser (488 nm, 70 mW) with sCMOS camera. Briefly, 1 μL of the final pellet suspension was diluted at 1:1000 in saline and 500 μL was loaded into the sample chamber. Three videos of 60 seconds were recorded for each sample. Data analysis was performed with NTA 3.0 software (Nanosight).


EV proteomic antibody array EV markers were characterized by using proteomic array, as per the manufacturer's recommendations (EXORAY200A; System Biosciences). In brief, 50 μg of EV lysate was incubated with labeling reagent for 30 min followed by incubation with membranes precoated antibodies for 8 known EV markers. After overnight incubation, detection buffer added before membranes were washed and scanned with X-ray imager.


MicroRNA Expression Assay

MicroRNA was isolated from EVs using the appropriate miRNA isolation kit (Qiagen). One hundred nanograms of miRNA was used for the nCounter miRNA sample preparation reactions. Sample preparation was performed according to the manufacturer's instructions. All hybridization reactions were incubated at 65 degrees Celsius for a minimum of 18 hours. Hybridized probes were purified and counted on the nCounter Prep Station and Digital Analyzer. For each assay, a high-density scan (600 fields of view) was performed. The miRNA count data obtained from Nanostring was analyzed by ROSALIND (https://rosalind.bio/). Background subtraction was performed based on POS_A probe correction factors and normalization was performed using the geometric mean of each code set from the positive control normalization and codeset normalization.


After normalization, fold changes were calculated and comparisons between two EV types were assessed using the ROSALIND t-test method. P-value adjustment was performed using the Benjamini-Hochberg method of estimating false discovery rates (FDR). Log 2 fold change, p-values and normalized Log 2 count data was exported from ROSALIND to construct volcano plots and heatmaps using GraphPad Prism v. 9.1 and RStudio (pheatmap package), respectively. miRNAs were considered differentially expressed with a log 2 fold change ≥ or ≤1.5 and p-value <0.05.


MicroRNA functional enrichment analysis was analyzed using TAM 2.0 (http://www.lirmed.com, (Lu, Shi, et al. 2010; Li, Han, et al. 2018)). The list of mature miRNA names from the normalized ROSALIND data was used as input (overrepresentation, p<0.05). Three functional enrichment categories were extracted (i.e., function, tissue specificity, and transcription factor) to ascribe the functional significance of the miRNA cargo found within EVs. To delineate functional differences pertaining to miRNA cargo across all 3 EV types, we performed enrichment analysis using the list of all differentially expressed miRNAs and all up regulated miRNAs using TAM 2.0.


Target network and enrichment analysis was confined to validated 3′-UTR targets. The list of differentially expressed miRNAs was used as input to miRWalk v3 (http://mirwalk.umm.uni-heidelberg.de/, (Sticht, De La Torre, et al. 2018)) using an interaction probability score of 0.95 (miRTarBase) to obtain the miRNA-mRNA target network. Cytoscape was then used to visualize networks and perform enrichment analysis (Sticht, De La Torre, et al. 2018). Gene ontology enrichment analysis was performed using the Cytoscape plugin BINGO (over representation, hypergeometric test with Benjamini & Hochberg False Discovery Rate correction, p value of 0.05).


EV Proteomic Analysis

EV isolates containing 25 μg of protein were lysed using a solubilization buffer consisting of 8 M urea, 100 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES), 5% glycerol, and 0.5% n-dodecyl 0-d-maltoside (DDS). Samples were reduced using tris(2-carboxyethyl) phosphine (1.6 mM) and then alkylated with iodoacetamide (8 mM) for 55 min at room temperature. Proteins were digested using 0.45 μg of trypsin/Lys-C solution (Promega) at room temperature for 20 hours. Two microliters of formic acid was then added to samples which were then desalted using C18 TopTips (Glygen) columns, and finally vacuum dried. Five micrograms of protein were then analyzed by Orbitrap Fusion mass spectrometry (Thermo Fisher Scientific) (Risha, Minic, et al 2020). Peptides were separated by an in-house packed column (Polymicro Technology) using a water/acetonitrile/0.1% formic acid gradient. Samples were loaded onto the column for 105 min at a flow rate of 0.30 μL/min. Peptides were separated using successive rounds of acetonitrile at concentrations 2-90% in a step wise manner for every 10 minutes. Peptides were eluted and sprayed into a mass spectrometer using positive electrospray ionization at an ion source. Peptides mass spectrometry spectra (m/z 350-2000) were acquired at a resolution of 60,000. Precursor ions were filtered according to monoisotopic precursor selection, and dynamic exclusion (30 seconds±10 ppm window). Fragmentation was performed with collision-induced dissociation in the linear ion trap. Precursors were isolated using a 2 m/z isolation window and fragmented with a normalized collision energy of 35%.


Differential protein expression analysis was performed using Perseus (https://maxquant.net/, Tyanova, Temu, et al. 2016). Label-free quantitation values were log 2 transformed for visual inspection using histogram distribution plots for each sample. Proteins identified in at least 2 of the 3 replicates were considered for analysis. A two tailed Student's t-test with permutation-based FDR was used to calculate statistical significance between two EV types. The log 2 fold difference, p-values and log 2 label-free quantitation values were used to make volcano plots and heatmaps using GraphPad Prism v. 9.1 and RStudio (pheatmap package), respectively. The proteins were considered differentially expressed with a p-value <0.05.


Functional annotations and pathway enrichment analysis of the whole proteome and differentially expressed proteins was performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID, v6.8, https://david.ncifcrf.gov/, Sherman, Hao, et al. 2022; da Huang, Sherman, et al. 2009) with Homo sapiens proteome as a background. Fisher's exact test with multiple testing by the Benjamini-Hochberg method with an adjusted p-value of 0.05 was used to extract significantly enriched terms. The top 10 functional GO terms of biological process, cellular component, molecular function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were extracted with enrichment analysis performed on all protein and upregulated regulated proteins separately.


Protein-protein interactions analysis of differentially expressed proteins was performed using Search Tool for the Retrieval of Interacting Genes (STRING, vii.5, https://string-db.org/cgi/input.pl, Szklarczyk, Gable, et al. 2019) with a medium confidence score of 0.4. Cytoscape was then used to perform cluster and enrichment analysis. The Cytoscape plugin MCODE was used to perform cluster and enrichment analysis (degree cut off=2, cluster finding=haircut, node score cut off=0.2, K-core=2, Maximum depth=100) while the cytoHubb plugin was used to identify hub genes.


Statistical Analysis

All statistical tests and graphical depictions of data are defined within the respective methods sections. Unless otherwise stated, all data are presented as mean±standard error of the mean. To determine if differences existed in EV size and concentration between cell types, the data was analyzed by a one-way analysis of variance (ANOVA; GraphPad Prism v. 9.1) with post hoc testing using Tukey's Multiple Comparisons test. A final value of P<0.05 was considered significant for all analyses.


Results Cell culture and EV characterization A schematic of the experimental methodology is shown in FIG. 28. All three cell products were manufactured to clinical release standards, as previously described (McIntyre, Stewart, et al. 2018; Schlosser, Wang, et al. 2019; Vaka, Khan, et al. 2022). These cell isolates were previously characterized for their surface marker identity (Vaka, Khan, et al. 2022) and tri-lineage differentiation (English, Fergusson, el al. 2021), hence cell characterization was not repeated in the current study. EVs were isolated from conditioned media collected from cultured cells using differential ultracentrifugation. The size of EVs isolated from all 3 cell lines were representative of accepted definitions for EV identity (Lbtvall, Hill, et al. 2014) with no differences attributable to producer cell line (FIG. 29A-B). While BM-MSCs and HDCs produced similar amounts of EVs, UC-MSCs yielded 2-fold more EVs (p<0.05 vs. BM-MSCs or HDCs). All 3 EV preparations expressed common EV surface markers (ALIX, ANXAS, CD81, CD63, EPCAM, FLOT-1, TSG101, ICAM) without evidence for cellular contamination (GM130; FIG. 30).


EV miRNA and Protein Cargo Profiling within Bone Marrow, Heart, and Umbilical Cord EVs


As shown in FIG. 31A, C, 757 miRNAs were commonly expressed by all 3 EVs. Interestingly, UC-MSCs were found to express the most distinct EVs with 18 unique miRNAs. Within the highly expressed miRNAs (i.e., expression above 99th percentile), 4 miRNAs were found to be commonly expressed among all 3 EVs (miR-199a+miR-199b, miR-23a, miR-4454+miR-7975, miR-125b-5p). Two miRNAs (let-7a, let-7b) were shared between BM-MSC and HDC EVs while 1 miRNA (miR-100) was found in both HDC and UC-MSC EVs (FIG. 31B).


As shown in FIG. 32A, C, 420 proteins were expressed in all 3 cell types. In contrast to the few miRNAs uniquely expressed, all 3 EVs were found to contain several unique proteins (i.e., 100+) with the greatest number of shared proteins found in BM-MSCs and HDCs. UC-MSCs expressed the greatest number of unique proteins. When ranked as highly expressed proteins, only ACTG1 protein was shared above the above 99th percentile in EVs from 3 cell types while ANXA2 and FN1 was shared between BM-MSC and HDC EVs (FIG. 32B).


Differential Expression of microRNAs or Proteins within Bone Marrow, Heart, and Umbilical Cord EVs


To probe the miRNA stoichiometry for differences in expression patterns, we compared differential miRNA expression using a 1.5-fold Log 2 threshold (FIGS. 33-35 and Table 3-5). Expression of miRNA in BM-MSC and HDC EVs was largely similar with only 56 differentially regulated transcripts. In contrast, UC-MSC EV expression was markedly different with 176 and 314 differentially expressed miRNAs as compared to BM-MSC and HDC EVs, respectively. Analysis of protein expression showed a similar pattern with only 23 proteins showing differential expression when BM-MSC EVs were compared to HDC EVs (FIGS. 36-38 and Table 6-8). UC-MSC EVs had 305 and 260 differential expressed proteins when compared to BM-MSC and HDC EVs, respectively.


Functional Analysis of miRNA Expression within Bone Marrow, Heart, and Umbilical Cord EVs


As shown in FIGS. 39, 41, 43, HDC EVs expressed miRNA transcripts implicated in apoptosis, collagen formation, osteoblast differentiation, and cell proliferation when compared to EVs from BM-MSCs. GO enrichment analysis demonstrated that miRNA-mRNA targets were significantly enriched in pigment biosynthesis, mRNA catabolism and RNA processing. MicroRNAs highly expressed in HDC EVs were associated with differentiation, cardiac regeneration, and differentiation while miRNAs highly expressed in BM-MSC EVs were involved in collagen formation, cellular proliferation, and cell death. EVs from BM-MSCs were enriched in transcripts implicated in apoptosis, hematopoiesis, and retinal development when compared to EVs from UC-MSCs. GO analysis of transcripts from BM-MSCs EVs suggest involvement in glucose metabolism, protein transport, RNA processing and vacuole transport. MicroRNAs upregulated in BM-MSC EVs were involved in apoptosis, cell migration, and osteogenesis while miRNAs enriched within UC-MSCs were involved in aging, cardiac regeneration, and proliferation.


When HDC EVs were compared to UC-MSCs EVs, miRNAs were implicated in development, immune regulation, and proliferation. GO analysis of transcripts from HDC EVs were implicated in glucose metabolism, protein transport, RNA processing and vacuole transport. Highly expressed miRNAs in HDC EVs were involved in mesenchymal to epithelial transition, regulation of NFκB, and development while highly expressed miRNAs in UC-MSCs were involved in aging, inflammation, and proliferation. The downstream transcription factors and tissue associated with these functions for EVs from all 3 producer cell lines are shown in FIG. 40, 42, 44.


Functional Analysis of Protein Expression in Bone Marrow, Heart, and Umbilical Cord EVs Enrichment analysis of the protein cargo within EVs revealed several terms related to biological processes, cellular component, molecular function and KEGG pathways for each cell source. The top 10 biological processes, cellular components and KEGG pathways are shown in FIGS. 46, 48, 50, and 53-55. Many of the top terms were shared and related to EV biology or cellular binding (i.e., cell adhesion, extracellular exosome, focal adhesion, cadherin binding, and protein binding). When EVs from different cell types were compared, each producer cell line imparted several unique terms with the greatest degree of homology shared between BM-MSC and HDC EVs. When HDC EVs were compared to BM-MSC EVs, functional pathways were largely involved in calcium ion binding, cell binding and extracellular matrix assembly (FIG. 45). Proteins over-expressed in EVs produced by BM-MSCs were more apt to be implicated in heparin or integrin binding. When BM-MSC EVs were compared to UC-MSC EVs, differentially expressed proteins were involved in actin organization, cadherin binding, and cellular adhesion (FIG. 47). Proteins highly expressed within BM-MSC EVs were involved in protein+RNA binding while UC-MSC EVs highly expressed proteins in extracellular matrix binding/structure and LDL receptor biology. When HDC EVs were compared to UC-MSC EVs, proteins were implicated in calcium and protein binding (FIG. 49).


Protein-Protein Interactions Imparted by Bone Marrow, Heart, and Umbilical Cord EVs

Proteins regulate biological processes through functional or physical interactions with other proteins. Using protein-protein interaction network analysis, we probed for potential interactions between differentially expressed proteins. As shown in FIGS. 51 and 52, this analysis revealed several nodes and interaction pairs with the highest degree of homology shared between HDC and BM-MSC EVs. Key nodes were then used to extract hub genes for cluster analysis which yielded 1 cluster from the HDC vs. BM-MSC EV network, 9 clusters from the BM-MSC vs UC-MSC EV network, and 7 clusters from the HDC vs. UC-MSC EV network.


Using a topological scoring system (Bandettini, Kellman, et al. 2012), we found the HDC vs. BM-MSC EV network did not contain significant clusters, indicating a high degree of homology. Two significant clusters were found within the comparison between BM-MSC and UC-MSC EVs (topological score=19.36, 20 nodes, 184 interaction pairs). Analysis of cluster 1 revealed hub genes related to chaperon containing proteins (CCT3, degree=32; CCT7, degree=34; CCT8, degree=26) and ribosomal protein subunits (RPS3, degree=28; RPL11, degree=25; FIG. 51). String enrichment analysis indicated the top biological processes were related to protein localization to telomeres (GO:1904851), protein localization to cajal bodies (GO:1904871), and telomerase localization to cajal bodies (GO:1904874). Cluster 2 contained 57 nodes and 668 interaction pairs with the top 5 hub genes being related to chaperon containing proteins (CCT3, degree=32; CCT4, degree=33; CCT7, degree=34), nucleotide binding protein (GNB2L1, degree=34) and translation elongation factor (EEFF2, degree=39). The top 2 biological process terms identified related to cell localization (GO:0051649) and interspecies interaction between organisms (GO:0006810).


The comparison between HDC and UC-MSC EVs yielded 2 clusters with cluster 1 (score=17.6) containing 31 nodes and 264 interaction pairs (FIG. 52). The top 5 hub genes within cluster 1 were related to copper binding (CP, degree=22), iron biding transport (TF, degree=22), thyroid hormone-binding (TTR, degree=22), and vitamin D transport (GC, degree=22). The top biological process terms within cluster 1 were implicated in exocytosis (GO:0045055), platelet degranulation (GO:0002576) and vesicle transport (GO:0016192). Cluster 2 contained 30 nodes and 169 interaction pairs. The top hub genes within this cluster were related to collagen (COL1A1, degree=8; COL1A2, degree=17), glycoprotein (THBS1, degree=17), and matrix metallopeptidases (MMP2, degree=19; MMP14, degree=16). String enrichment analysis within this clusters showed that proteins mediated cell adhesion (GO:0007155), extracellular matrix organization (GO:0030198), and formation of the primary germ layer (GO:0001704).


TABLE 3 shows a list of exemplary differentially expressed miRNA cargo in HDC vs BM-MSC EVs. hsa, Homo sapiens















Differentially

Log2



Expressed

Fold


miRNA
Description
Change
p-Value


















hsa-miR-1224-5p
MI0003764
3.51187
0.026825


hsa-miR-196a-5p
MI0000279
2.53976
0.005498


hsa-miR-630
MI0003644
2.30881
0.005956


hsa-miR-3140-5p
MI0014163
2.14175
0.000502


hsa-miR-874-5p
MI0005532
2.11602
0.049925


hsa-miR-1306-5p
MI0006443
2.07554
0.015506


hsa-miR-3131
MI0014151
2.04051
0.035703


hsa-miR-485-5p
MI0002469
2.00733
0.00846


hsa-miR-876-3p
MI0005542
1.94171
0.023983


hsa-miR-3196
MI0014241
1.84552
0.046151


hsa-miR-873-3p
MI0005564
1.81709
0.040183


hsa-miR-4741
MI0017379
1.77139
0.006722


hsa-miR-219a-2-3p
MI0000740
1.73822
0.044009


hsa-miR-34a-5p
MI0000268
1.73227
0.023769


hsa-miR-4787-3p
MI0017434
1.70069
0.028831


hsa-miR-520d-3p
MI0003164
1.674
0.005441


hsa-miR-501-3p
MI0003185
1.65044
0.04604


hsa-miR-590-3p
MI0003602
1.64296
0.047512


hsa-miR-10b-5p
MI0000267
1.53635
0.025041


hsa-miR-578
MI0003585
1.43806
0.038703


hsa-miR-519e-3p
MI0003145
1.43618
0.046268


hsa-miR-5196-5p
MI0018175
1.41843
0.030021


hsa-miR-199a-5p
MI0000281
1.41083
0.0096


hsa-miR-3690
MI0016091
1.37058
0.026933


hsa-miR-517a-3p
MI0003161
1.3701
0.035065


hsa-miR-619-3p
MI0003633
1.35175
0.034291


hsa-miR-568
MI0003574
1.27142
0.041672


hsa-miR-625-5p
MI0003639
1.07369
0.031


hsa-miR-4451
MI0016797
1.04325
0.037141


hsa-miR-1180-3p
MI0006273
1.04234
0.03193


hsa-miR-5010-3p
MI0017878
0.997418
0.022214


hsa-miR-302e
MI0006417
0.979929
0.046686


hsa-miR-1258
MI0006392
0.971695
0.026819


hsa-miR-197-5p
MI0000239
0.967794
0.035038


hsa-miR-92a-1-5p
MI0000093
0.900024
0.029612


hsa-miR-10a-5p
MI0000266
0.722411
0.031681


hsa-miR-16-5p
MI0000070
−0.634
0.003992


hsa-let-7g-5p
MI0000433
−0.646361
0.03895


hsa-miR-4286
MI0015894
−0.707782
0.008563


hsa-miR-199b-5p
MI0000282
−0.823786
0.025643


hsa-miR-19b-3p
MI0000074
−0.86821
0.043358


hsa-miR-24-3p
MI0000081
−0.893848
0.002479


hsa-miR-23b-3p
MI0000439
−0.999376
0.001002


hsa-miR-21-5p
MI0000077
−1.03304
0.035481


hsa-miR-376a-3p
MI0003529
−1.06254
0.042989


hsa-miR-337-5p
MI0000806
−1.19023
0.011657


hsa-miR-23a-3p
MI0000079
−1.2838
0.023105


hsa-miR-27b-3p
MI0000440
−1.31904
0.005334


hsa-let-7i-5p
MI0000434
−1.37666
0.002865


hsa-miR-4516
MI0016882
−1.41662
0.007115


hsa-miR-374a-5p
MI0000782
−1.44434
0.006919


hsa-miR-98-5p
MI0000100
−1.46162
0.013817


hsa-miR-22-3p
MI0000078
−1.59936
0.011553


hsa-miR-29a-3p
MI0000087
−1.63008
0.02321


hsa-miR-4454 +
MI0016800 +
−1.63058
0.005845


hsa-miR-7975
MI0025751


hsa-miR-29b-3p
MI0000107
−3.46125
0.036546









TABLE 4 shows a list of exemplary differentially expressed miRNA cargo in BM-MSC vs UC-MSC EVs. hsa, Homo sapiens















Differentially

Log



Expressed

Fold


miRNA
Description
Change
p-Value


















hsa-miR-765
MI0005116
4.78479
0.000392


hsa-miR-223-3p
MI0000300
4.57158
0.005398


hsa-miR-1234-3p
MI0006324
3.39719
0.042276


hsa-miR-216a-5p
MI0000292
3.38365
0.001516


hsa-miR-3605-5p
MI0015995
3.34906
0.010328


hsa-miR-509-3-5p
MI0005717
3.17894
0.018589


hsa-miR-147a
MI0000262
3.08841
0.00572


hsa-miR-516a-5p
MI0003180
3.04302
0.02371


hsa-miR-501-3p
MI0003185
3.01713
0.005525


hsa-miR-562
MI0003568
2.97404
0.028448


hsa-miR-4421
MI0016758
2.97049
0.010323


hsa-miR-4485-3p
MI0016846
2.91954
0.011102


hsa-miR-346
MI0000826
2.89487
0.012048


hsa-miR-802
MI0003906
2.88988
0.009402


hsa-miR-1972
MI0009982
2.83784
0.017128


hsa-miR-2116-5p
MI0010635
2.8182
0.005957


hsa-miR-192-5p
MI0000234
2.76156
0.015987


hsa-miR-448
MI0001637
2.73053
0.037179


hsa-miR-626
MI0003640
2.68868
0.002277


hsa-mir-217
MI0000293
2.6292
0.026176


hsa-miR-1268b
MI0016748
2.60507
0.022066


hsa-miR-410-3p
MI0002465
2.60436
0.023953


hsa-miR-2113
MI0003939
2.56856
0.043628


hsa-miR-3605-3p
MI0015995
2.46141
0.023668


hsa-miR-2053
MI0010487
2.44786
0.037586


hsa-miR-2110
MI0010629
2.44786
0.005049


hsa-mir-1973
MI0009983
2.44178
0.010847


hsa-miR-181c-5p
MI0000271
2.4404
0.04721


hsa-miR-499b-3p
MI0017396
2.42823
0.041507


hsa-miR-1266-5p
MI0006403
2.42226
0.023156


hsa-miR-604
MI0003617
2.41311
0.022326


hsa-miR-142-3p
MI0000458
2.41105
0.018546


hsa-miR-298
MI0005523
2.39594
0.042096


hsa-miR-3144-3p
MI0014169
2.39228
0.040791


hsa-miR-224-5p
MI0000301
2.38728
0.025314


hsa-miR-329-3p
MI0001725
2.34055
0.010058


hsa-miR-3127-5p
MI0014144
2.32543
0.042046


hsa-miR-664a-3p
MI0006442
2.31971
0.01485


hsa-miR-509-3p
MI0005530
2.28988
0.013687


hsa-miR-1204
MI0006337
2.28391
0.018704


hsa-miR-135b-5p
MI0000810
2.27723
0.040895


hsa-miR-573
MI0003580
2.26642
0.048338


hsa-miR-587
MI0003595
2.2624
0.023721


hsa-miR-564
MI0003570
2.25139
0.030939


hsa-miR-548q
MI0010637
2.24804
0.009684


hsa-miR-3614-5p
MI0016004
2.24737
0.031794


hsa-miR-511-5p
MI0003127
2.21575
0.020545


hsa-miR-335-5p
MI0000816
2.20534
0.010573


hsa-miR-548e-3p
MI0006344
2.20221
0.00936


hsa-miR-593-3p
MI0003605
2.1812
0.020538


hsa-miR-28-5p
MI0000086
2.17127
0.029427


hsa-miR-552-3p
MI0003557
2.15637
0.033478


hsa-miR-492
MI0003131
2.14556
0.048469


hsa-miR-140-3p
MI0000456
2.12807
0.009546


hsa-miR-216b-5p
MI0005569
2.12807
0.010235


hsa-miR-519b-3p
MI0003151
2.09704
0.035532


hsa-miR-200c-3p
MI0000650
2.0949
0.009539


hsa-miR-620
MI0003634
2.0942
0.038209


hsa-miR-1285-5p
MI0006346
2.08623
0.030867


hsa-miR-649
MI0003664
2.06386
0.021806


hsa-miR-503-3p
MI0003188
2.0404
0.01737


hsa-miR-3150b-3p
MI0016426
2.03068
0.027953


hsa-miR-761
MI0003941
2.01233
0.013307


hsa-miR-512-5p
MI0003140
2.00951
0.034654


hsa-miR-936
MI0005758
2.00722
0.010913


hsa-miR-378d
MI0016749
1.98973
0.035253


hsa-miR-1287-5p
MI0006349
1.96873
0.012094


hsa-miR-3131
MI0014151
1.95655
0.045858


hsa-miR-514a-3p
MI0003198
1.95655
0.003203


hsa-miR-211-5p
MI0000287
1.95566
0.035346


hsa-miR-542-3p
MI0003686
1.95234
0.009111


hsa-miR-1254
MIMAT0005905
1.94663
0.003349


hsa-miR-433-3p
MI0001723
1.93703
0.02841


hsa-miR-1827
MI0008195
1.92974
0.025837


hsa-miR-146a-5p
MI0000477
1.92773
0.035806


hsa-miR-182-5p
MI0000272
1.92551
0.010956


hsa-miR-548ak
MI0016840
1.91954
0.042506


hsa-miR-193a-3p
MI0000487
1.91169
0.045262


hsa-miR-548g-3p
MI0006395
1.91072
0.016864


hsa-miR-150-5p
MI0000479
1.90337
0.041059


hsa-miR-507
MI0003194
1.89991
0.031563


hsa-miR-575
MI0003582
1.87508
0.032462


hsa-miR-1272
MI0006408
1.86887
0.039317


hsa-miR-1537-3p
MI0007258
1.85001
0.025031


hsa-miR-378b
MI0014154
1.84924
0.030926


hsa-miR-126-3p
MI0000471
1.84736
0.03741


hsa-miR-526a +
MI0003157 +
1.84541
0.033821


hsa-miR-518c-5p +
MI0003159 +


hsa-miR-518d-5p
MIMAT0005456


hsa-miR-96-5p
MI0000098
1.84541
0.020691


hsa-miR-431-5p
MI0001721
1.83658
0.024391


hsa-miR-1279
MI0006426
1.83038
0.035459


hsa-miR-4461
MI0016807
1.83038
0.049484


hsa-miR-885-3p
MI0005560
1.81223
0.032137


hsa-miR-548v
MI0014174
1.81192
0.048668


hsa-miR-5010-3p
MI0017878
1.80954
0.021485


hsa-miR-1245b-3p
MI0017431
1.78503
0.00655


hsa-miR-3180-3p
MI0014214
1.78119
0.032067


hsa-miR-510-3p
MI0003197
1.77374
0.018022


hsa-miR-520c-3p
MI0003158
1.75882
0.039709


hsa-miR-585-3p
MI0003592
1.75528
0.002864


hsa-miR-486-3p
MI0002470
1.73053
0.01817


hsa-miR-548d-5p
MI0003671
1.73053
0.04677


hsa-miR-1276
MI0006416
1.72928
0.046612


hsa-miR-548d-3p
MI0003671
1.72061
0.028482


hsa-miR-1264
MI0003758
1.71698
0.015075


hsa-miR-148b-3p
MI0000811
1.69352
0.000543


hsa-miR-1224-3p
MI0003764
1.68606
0.024003


hsa-miR-302c-3p
MI0000773
1.67872
0.021374


hsa-miR-1269b
MI0016888
1.66506
0.04456


hsa-miR-605-5p
MI0003618
1.66288
0.049825


hsa-miR-1206
MI0006339
1.65909
0.016673


hsa-miR-1307-5p
MI0006444
1.65042
0.036926


hsa-miR-1297
MI0006358
1.65026
0.025853


hsa-miR-608
MI0003621
1.63293
0.007805


hsa-miR-631
MI0003645
1.63204
0.035562


hsa-miR-378f
MI0016756
1.62322
0.010012


hsa-miR-582-3p
MI0003589
1.62184
0.026641


hsa-miR-139-3p
MI0000261
1.61193
0.016123


hsa-miR-145-5p
MI0000461
1.61054
0.016788


hsa-miR-5001-5p
MI0017867
1.60573
0.046191


hsa-miR-561-5p
MI0003567
1.59975
0.034076


hsa-miR-421
MI0003685
1.58621
0.017424


hsa-miR-500a-5p +
MIMAT0004773 +
1.58621
0.047978


hsa-miR-501-5p
MI0003185


hsa-miR-1257
MI0006391
1.58335
0.048896


hsa-miR-924
MI0005716
1.56657
0.049312


hsa-miR-1323
MI0003786
1.55914
0.030934


hsa-miR-30e-3p
MI0000749
1.52703
0.021909


hsa-miR-520d-3p
MI0003164
1.52562
0.026794


hsa-miR-3130-3p
MI0014147
1.51591
0.008186


hsa-miR-6720-3p
MI0022555
1.49306
0.045228


hsa-miR-520a-5p
MI0003149
1.47604
0.030135


hsa-miR-92a-1-5p
MI0000093
1.46141
0.002827


hsa-mir-520e
MI0003143
1.42823
0.037383


hsa-miR-4787-5p
MI0017434
1.42226
0.031137


hsa-miR-548h-5p
MI0006411
1.42226
0.0192


hsa-miR-193b-3p
MI0003137
1.41557
0.03078


hsa-miR-302b-3p
MI0000772
1.41468
0.042956


hsa-miR-551b-3p
MI0003575
1.3859
0.019962


hsa-miR-106b-5p
MI0000734
1.36752
0.013117


hsa-miR-363-5p
MI0000764
1.36401
0.016555


hsa-miR-1180-3p
MI0006273
1.32881
0.02409


hsa-miR-337-5p
MI0000806
1.32575
0.000854


hsa-miR-30a-3p
MI0000088
1.30737
0.024367


hsa-miR-502-3p
MI0003186
1.30737
0.033273


hsa-miR-30d-5p
MI0000255
1.3005
0.015316


hsa-miR-98-5p
MI0000100
1.30003
0.026804


hsa-miR-548n
MI0006399
1.29214
0.024043


hsa-miR-597-5p
MI0003609
1.27969
0.035604


hsa-miR-671-3p
MI0003760
1.26642
0.046731


hsa-miR-769-3p
MI0003834
1.26642
0.046955


hsa-miR-584-3p
MI0003591
1.25979
0.042083


hsa-miR-1250-5p
MI0006385
1.22727
0.02185


hsa-miR-211-3p
MI0000287
1.15911
0.001896


hsa-miR-4454 +
MI0016800 +
1.12424
0.045843


hsa-miR-7975
MI0025751


hsa-miR-548e-5p
MI0006344
1.1057
0.037154


hsa-miR-4286
MI0015894
1.1
0.012917


hsa-miR-377-3p
MI0000785
1.04337
0.005261


hsa-miR-432-5p
MI0003133
0.976695
0.043256


hsa-miR-526b-5p
MI0003150
0.960574
0.029791


hsa-miR-543
MI0005565
0.954208
0.041838


hsa-miR-337-3p
MI0000806
0.953233
0.036074


hsa-miR-487b-3p
MI0003530
0.950576
0.024347


hsa-miR-342-3p
MI0000805
0.890345
0.040172


hsa-miR-423-3p
MI0001445
0.867621
0.015293


hsa-miR-19a-3p
MI0000073
0.722647
0.001341


hsa-miR-199b-5p
MI0000282
−0.795716
0.040583


hsa-let-7d-5p
MI0000065
−0.826208
0.047614


hsa-miR-630
MI0003644
−0.883867
0.04198


hsa-miR-199a-5p
MI0000281
−1.50399
0.007089


hsa-miR-34a-5p
MI0000268
−1.53395
0.012176


hsa-miR-93-5p
MI0000095
−1.65321
0.042628


hsa-miR-15a-5p
MI0000069
−1.66791
0.046804


hsa-miR-181a-5p
MI0000289
−2.06005
0.017154


hsa-miR-1915-3p
MI0008336
−2.10681
0.007254


hsa-miR-199a-3p +
MI0000242 +
−2.29495
0.023153


hsa-miR-199b-3p
MI0000282


hsa-let-7b-5p
MI0000063
−2.8971
0.007389


hsa-let-7a-5p
MI0000061
−5.76857
0.031576









TABLE 5 shows a list of exemplary differentially expressed miRNA cargo in HDC vs UC-MSC EVs. hsa}, Homo sapiens















Differentially

Log



Expressed

Fold


miRNA
Description
Change
p-Value


















hsa-miR-223-3p
MI0000300
5.33029
0.008513


hsa-miR-765
MI0005116
4.93721
0.002055


hsa-miR-1234-3p
MI0006324
4.13177
0.01968


hsa-miR-501-3p
MI0003185
3.98999
0.005476


hsa-miR-3131
MI0014151
3.88502
0.011313


hsa-miR-216a-5p
MI0000292
3.87323
0.001157


hsa-miR-516a-5p
MI0003180
3.80753
0.010409


hsa-miR-573
MI0003580
3.77656
0.011032


hsa-miR-509-3-5p
MI0005717
3.72402
0.013596


hsa-miR-147a
MI0000262
3.70877
0.004537


hsa-miR-329-3p
MI0001725
3.70056
0.019194


hsa-miR-1972
MI0009982
3.6267
0.032341


hsa-mir-217
MI0000293
3.58859
0.010542


hsa-miR-591
MI0003603
3.56235
0.021699


hsa-miR-4421
MI0016758
3.54724
0.004063


hsa-miR-1269a
MI0006406
3.52065
0.016652


hsa-miR-499b-3p
MI0017396
3.4968
0.005787


hsa-miR-503-3p
MI0003188
3.3984
0.002617


hsa-miR-298
MI0005523
3.35846
0.000462


hsa-miR-548e-3p
MI0006344
3.32509
0.013531


hsa-miR-4485-3p
MI0016846
3.31387
0.005365


hsa-miR-587
MI0003595
3.31172
0.019121


hsa-miR-513c-5p
MI0006649
3.30005
0.03381


hsa-miR-520d-3p
MI0003164
3.27078
0.003883


hsa-miR-885-3p
MI0005560
3.26576
0.024047


hsa-miR-224-5p
MI0000301
3.26321
0.009714


hsa-miR-1285-3p
MI0006347
3.26307
0.028924


hsa-miR-562
MI0003568
3.24939
0.016325


hsa-miR-4448
MI0016791
3.20656
0.002942


hsa-miR-346
MI0000826
3.20028
0.004135


hsa-miR-3605-3p
MI0015995
3.19489
0.011957


hsa-miR-2113
MI0003939
3.18908
0.024191


hsa-miR-1249-5p
MI0006384
3.16385
0.017464


hsa-miR-378d
MI0016749
3.14324
0.001049


hsa-miR-761
MI0003941
3.13243
0.002336


hsa-miR-3614-5p
MI0016004
3.12841
0.002975


hsa-miR-200c-3p
MI0000650
3.09926
0.001846


hsa-miR-1268b
MI0016748
3.09465
0.024365


hsa-miR-631
MI0003645
3.09059
0.009538


hsa-miR-139-3p
MI0000261
3.08758
0.005165


hsa-miR-192-5p
MI0000234
3.07579
0.014225


hsa-miR-448
MI0001637
3.06362
0.032386


hsa-miR-509-3p
MI0005530
3.0583
0.010062


hsa-miR-196a-5p
MI0000279
3.04896
0.002125


hsa-miR-548ak
MI0016840
3.04476
0.001126


hsa-miR-620
MI0003634
3.00291
0.000897


hsa-miR-2110
MI0010629
2.96403
0.047704


hsa-miR-595
MI0003607
2.96091
0.034747


hsa-miR-624-3p
MI0003638
2.95708
0.04766


hsa-miR-4741
MI0017379
2.93745
0.009705


hsa-miR-568
MI0003574
2.93745
0.048598


hsa-miR-1254
MIMAT0005905
2.9091
0.011401


hsa-miR-4425
MI0016764
2.90641
0.039821


hsa-miR-181c-5p
MI0000271
2.90427
0.02129


hsa-miR-593-3p
MI0003605
2.90427
0.009797


hsa-miR-5010-3p
MI0017878
2.87811
0.005943


hsa-miR-496
MI0003136
2.87323
0.034217


hsa-miR-3196
MI0014241
2.8583
0.004262


hsa-miR-548al
MI0016851
2.85616
0.006636


hsa-miR-548b-3p
MI0003596
2.82142
0.032678


hsa-miR-802
MI0003906
2.81796
0.005801


hsa-miR-655-3p
MI0003677
2.80792
0.03402


hsa-miR-1226-3p
MI0006313
2.79801
0.005215


hsa-miR-1279
MI0006426
2.7843
0.005141


hsa-miR-1258
MI0006392
2.77584
0.02787


hsa-miR-1266-5p
MI0006403
2.77349
0.016058


hsa-miR-548h-5p
MI0006411
2.77062
0.004467


hsa-miR-96-5p
MI0000098
2.76209
0.010065


hsa-miR-491-5p
MI0003126
2.76022
0.020797


hsa-miR-649
MI0003664
2.75601
0.009121


hsa-miR-150-5p
MI0000479
2.74991
0.000219


hsa-miR-3130-3p
MI0014147
2.73174
0.001416


hsa-miR-2116-5p
MI0010635
2.7288
0.008441


hsa-miR-1287-5p
MI0006349
2.72497
0.003194


hsa-miR-215-5p
MI0000291
2.72321
0.018357


hsa-miR-5480-3p +
MI0006402 +
2.72009
0.025234


hsa-miR-548ah-3p +
MI0016796 +


hsa-miR-548av-3p
MI0019152


hsa-miR-483-5p
MI0002467
2.71142
0.027086


hsa-miR-526a +
MI0003157 +
2.71142
0.012786


hsa-miR-518c-5p +
MI0003159 +


hsa-miR-518d-5p
MI0003171


hsa-miR-744-5p
MI0005559
2.71142
0.026766


hsa-miR-626
MI0003640
2.70061
0.002461


hsa-miR-140-3p
MI0000456
2.69179
0.039797


hsa-miR-517a-3p
MI0003161
2.69179
0.007914


hsa-miR-95-3p
MI0000097
2.69179
0.022125


hsa-miR-1252-5p
MI0006434
2.6916
0.008623


hsa-miR-1224-3p
MI0003764
2.69064
0.043516


hsa-miR-1264
MI0003758
2.67824
0.003006


hsa-miR-507
MI0003194
2.66833
0.008166


hsa-miR-200b-3p
MI0000342
2.66075
0.049683


hsa-miR-876-3p
MI0005542
2.66075
0.017757


hsa-miR-640
MI0003655
2.65966
0.041804


hsa-miR-556-3p
MI0003562
2.65861
0.042162


hsa-miR-9-5p
MI0000466
2.65574
0.0112


hsa-miR-520a-5p
MI0003149
2.64721
0.022974


hsa-miR-576-3p
MI0003583
2.64261
0.04434


hsa-miR-105-5p
MI0000111
2.63729
0.033763


hsa-miR-197-3p
MI0000239
2.63729
0.001336


hsa-miR-330-5p
MI0000803
2.63729
0.00842


hsa-miR-492
MI0003131
2.63515
0.028966


hsa-miR-342-5p
MI0000805
2.62758
0.001828


hsa-miR-3690
MI0016091
2.62226
0.015028


hsa-miR-216b-5p
MI0005569
2.61891
0.004538


hsa-miR-1269b
MI0016888
2.6068
0.016969


hsa-miR-5196-5p
MI0018175
2.60411
0.035382


hsa-miR-548d-3p
MI0003671
2.60411
0.008187


hsa-miR-1257
MI0006391
2.59057
0.013654


hsa-miR-2053
MI0010487
2.59057
0.035164


hsa-miR-3182
MI0014224
2.59057
0.021346


hsa-miR-502-3p
MI0003186
2.58272
0.004202


hsa-miR-512-5p
MI0003140
2.58174
0.022984


hsa-miR-142-3p
MI0000458
2.57976
0.007233


hsa-miR-506-3p
MI0003193
2.5671
0.007563


hsa-miR-1469
MI0007074
2.56221
0.027298


hsa-miR-652-3p
MI0003667
2.56194
0.024254


hsa-miR-760
MI0005567
2.55926
0.033154


hsa-miR-1178-3p
MI0006271
2.55345
0.004484


hsa-miR-302e
MI0006417
2.52998
0.031092


hsa-miR-1271-5p
MI0003814
2.52822
0.019451


hsa-miR-92a-3p
MI0000093
2.51781
0.005419


hsa-miR-211-5p
MI0000287
2.51554
0.024137


hsa-miR-212-3p
MI0000288
2.50495
0.004815


hsa-miR-1233-3p
MI0006323
2.50476
0.043054


hsa-miR-567
MI0003573
2.4999
0.049065


hsa-miR-6720-3p
MI0022555
2.49895
0.025004


hsa-miR-770-5p
MI0005118
2.48808
0.020254


hsa-miR-3150b-3p
MI0016426
2.48594
0.018919


hsa-miR-519b-3p
MI0003151
2.46577
0.010332


hsa-miR-940
MI0005762
2.45222
0.00779


hsa-miR-323b-3p
MI0014206
2.44544
0.037025


hsa-miR-190a-5p
MI0000486
2.4425
0.027064


hsa-miR-1180-3p
MI0006273
2.4423
0.006414


hsa-miR-1204
MI0006337
2.4423
0.014778


hsa-miR-576-5p
MI0003583
2.4423
0.010629


hsa-miR-92a-1-5p
MI0000093
2.43259
0.000958


hsa-miR-924
MI0005716
2.42944
0.008023


hsa-miR-500a-5p +
MI0003184 +
2.42091
0.044677


hsa-miR-501-5p
MI0003185


hsa-miR-1306-5p
MI0006443
2.40913
0.013391


hsa-miR-410-3p
MI0002465
2.40913
0.019


hsa-miR-605-5p
MI0003618
2.40913
0.017985


hsa-miR-193a-3p
MI0000487
2.39624
0.030297


hsa-miR-3934-5p
MI0016590
2.38949
0.03944


hsa-miR-604
MI0003617
2.38077
0.016837


hsa-miR-520h
MI0003175
2.34491
0.004479


hsa-miR-671-3p
MI0003760
2.34491
0.00034


hsa-miR-1236-3p
MI0006326
2.33499
0.027455


hsa-miR-3180-3p
MI0014214
2.32145
0.015817


hsa-miR-518c-3p
MI0003159
2.32145
0.008111


hsa-miR-452-5p
MI0001733
2.31656
0.015839


hsa-miR-580-3p
MI0003587
2.31249
0.019495


hsa-miR-1255b-5p
MI0006436
2.29041
0.044874


hsa-miR-1301-3p
MI0003815
2.28827
0.010722


hsa-miR-182-5p
MI0000272
2.28256
0.001441


hsa-miR-3185
MI0014227
2.28256
0.048772


hsa-miR-1245b-3p
MI0017431
2.27078
0.004035


hsa-miR-378b
MI0014154
2.27078
0.010571


hsa-miR-488-3p
MI0003123
2.26321
0.027281


hsa-miR-1304-5p
MI0006371
2.2591
0.023802


hsa-miR-1537-3p
MI0007258
2.25723
0.024512


hsa-miR-1276
MI0006416
2.25115
0.018908


hsa-miR-892b
MI0005538
2.24732
0.020675


hsa-miR-566
MI0003572
2.2376
0.022579


hsa-miR-767-5p
MI0003763
2.23163
0.029228


hsa-miR-542-3p
MI0003686
2.23026
0.006873


hsa-miR-514a-3p
MI0003198
2.23003
0.024771


hsa-miR-450b-3p
MI0005531
2.22894
0.022043


hsa-miR-3605-5p
MI0015995
2.22725
0.022376


hsa-miR-3144-3p
MI0014169
2.22573
0.045649


hsa-miR-3074-3p
MI0014181
2.22011
0.044323


hsa-miR-936
MI0005758
2.21414
0.008331


hsa-miR-499a-3p
MI0003183
2.20656
0.004035


hsa-miR-1285-5p
MI0006346
2.18761
0.020067


hsa-miR-608
MI0003621
2.18399
0.010711


hsa-miR-491-3p
MI0003126
2.1831
0.02185


hsa-miR-1297
MI0006358
2.17702
0.008618


hsa-mir-320a
MI0000542
2.17525
0.040163


hsa-miR-664a-3p
MI0006442
2.17367
0.020064


hsa-miR-1206
MI0006339
2.16347
0.018777


hsa-miR-548z +
MI0016688 +
2.16347
0.026201


hsa-miR-548h-3p
MI0006414


hsa-miR-367-3p
MI0000775
2.14992
0.029994


hsa-miR-4792
MI0017439
2.14001
0.039404


hsa-miR-3918
MI0016424
2.13243
0.033661


hsa-miR-489-3p
MI0003124
2.13243
0.024045


hsa-miR-1224-5p
MI0003764
2.12742
0.021353


hsa-miR-3127-5p
MI0014144
2.12646
0.034671


hsa-miR-145-5p
MI0000461
2.12226
0.006141


hsa-miR-4451
MI0016797
2.10683
0.046093


hsa-miR-3151-5p
MI0014178
2.07579
0.024807


hsa-miR-203a-3p
MI0000283
2.06795
0.046463


hsa-miR-891b
MI0005534
2.06713
0.01925


hsa-miR-4787-5p
MI0017434
2.06099
0.013962


hsa-miR-126-3p
MI0000471
2.0583
0.042081


hsa-miR-494-5p
MI0003134
2.04744
0.04419


hsa-miR-302b-3p
MI0000772
2.04476
0.020115


hsa-miR-219a-2-3p
MI0000740
2.03093
0.031451


hsa-miR-1244
MI0015975
2.02996
0.04706


hsa-miR-433-3p
MI0001723
2.02996
0.027666


hsa-miR-196b-5p
MI0001150
2.02512
0.014482


hsa-miR-564
MI0003570
2.02512
0.042078


hsa-miR-548ah-5p
MI0016796
2.02024
0.005515


hsa-miR-4461
MI0016807
2.01981
0.036169


hsa-miR-513b-5p
MI0006648
2.00166
0.040061


hsa-miR-1272
MI0006408
1.99195
0.003487


hsa-miR-578
MI0003585
1.98811
0.015184


hsa-miR-28-5p
MI0000086
1.97255
0.046737


hsa-miR-890
MI0005533
1.96848
0.047678


hsa-miR-510-3p
MI0003197
1.95708
0.015278


hsa-miR-2117
MI0010636
1.95494
0.005515


hsa-miR-1200
MI0006332
1.94962
0.028438


hsa-miR-548v
MI0014174
1.94596
0.043815


hsa-miR-486-3p
MI0002470
1.92987
0.032294


hsa-miR-892a
MI0005528
1.91507
0.01711


hsa-miR-561-5p
MI0003567
1.90641
0.040533


hsa-miR-548g-3p
MI0006395
1.90427
0.013653


hsa-miR-575
MI0003582
1.89967
0.013006


hsa-miR-1270
MI0006407
1.89435
0.031811


hsa-miR-4458
MI0016804
1.89435
0.00553


hsa-miR-1250-5p
MI0006385
1.8808
0.015905


hsa-miR-450a-2-3p
MI0003187
1.8808
0.046709


hsa-miR-432-5p
MI0003133
1.85806
0.018567


hsa-miR-205-5p
MI0000285
1.84977
0.013262


hsa-miR-384
MI0001145
1.83014
0.028782


hsa-miR-888-5p
MI0005537
1.82659
0.034249


hsa-miR-4521
MI0016887
1.81659
0.016877


hsa-miR-548k
MI0006354
1.81659
0.039074


hsa-miR-875-3p
MI0005541
1.7991
0.029107


hsa-miR-520c-3p
MI0003158
1.79422
0.028392


hsa-miR-146b-3p
MI0003129
1.78509
0.035265


hsa-miR-1827
MI0008195
1.78095
0.037258


hsa-miR-610
MI0003623
1.77947
0.010076


hsa-miR-1323
MI0003786
1.77475
0.032109


hsa-miR-1295a
MI0006357
1.77407
0.02679


hsa-miR-34c-3p
MI0000743
1.76209
0.045473


hsa-miR-431-5p
MI0001721
1.76061
0.030662


hsa-miR-584-3p
MI0003591
1.75217
0.01843


hsa-miR-3136-5p
MI0014158
1.74246
0.036117


hsa-miR-378c
MI0015825
1.74246
0.015863


hsa-miR-4787-3p
MI0017434
1.74246
0.023805


hsa-mir-1973
MI0009983
1.73254
0.016222


hsa-miR-516b-5p
MI0003167
1.72891
0.016692


hsa-miR-515-3p
MI0003144
1.72283
0.035034


hsa-miR-585-3p
MI0003592
1.70722
0.001712


hsa-miR-3192-5p
MI0014237
1.69179
0.017086


hsa-mir-378g
MI0016761
1.68961
0.041401


hsa-mir-375
MI0000783
1.66833
0.045878


hsa-miR-4707-3p
MI0017340
1.66833
0.043869


hsa-miR-582-3p
MI0003589
1.65478
0.01919


hsa-miR-146a-5p
MI0000477
1.64334
0.044553


hsa-miR-4755-5p
MI0017395
1.63515
0.029142


hsa-miR-589-5p
MI0003599
1.63515
0.031426


hsa-miR-378f
MI0016756
1.61197
0.009395


hsa-miR-769-3p
MI0003834
1.60895
0.026116


hsa-miR-1260b
MI0014197
1.60411
0.023285


hsa-miR-3179
MI0014213
1.60411
0.023167


hsa-miR-490-3p
MI0003125
1.58065
0.025446


hsa-miR-335-5p
MI0000816
1.53311
0.03145


hsa-miR-193b-3p
MI0003137
1.51495
0.017177


hsa-miR-363-5p
MI0000764
1.51429
0.012761


hsa-miR-511-5p
MI0003127
1.49895
0.02368


hsa-miR-630
MI0003644
1.4961
0.02027


hsa-miR-1287-3p
MI0006349
1.47334
0.047378


hsa-miR-219b-3p
MI0017299
1.47334
0.031855


hsa-miR-555
MI0003561
1.47334
0.035778


hsa-miR-522-3p
MI0003177
1.46577
0.035875


hsa-miR-1275
MI0006415
1.44614
0.037443


hsa-miR-30d-5p
MI0000255
1.42727
0.008076


hsa-miR-10b-5p
MI0000267
1.41974
0.047207


hsa-miR-206
MI0000490
1.40913
0.015765


hsa-miR-6511a-5p
MI0022223
1.40913
0.036592


hsa-miR-874-3p
MI0005532
1.40913
0.045388


hsa-miR-518d-3p
MI0003171
1.39921
0.024898


hsa-miR-1322
MI0006653
1.3793
0.013114


hsa-miR-1260a
MI0006394
1.37809
0.01651


hsa-miR-148b-3p
MI0000811
1.37211
0.000826


hsa-miR-889-3p
MI0005540
1.37063
0.017915


hsa-miR-135a-5p
MI0000453
1.36603
0.037685


hsa-miR-551b-3p
MI0003575
1.36426
0.024337


hsa-miR-485-3p
MI0002469
1.35248
0.04542


hsa-miR-664b-5p
MI0019134
1.35248
0.015923


hsa-miR-1262
MI0006397
1.3396
0.024601


hsa-miR-421
MI0003685
1.31262
0.032691


hsa-miR-320d
MI0008190
1.30182
0.032769


hsa-miR-6724-5p
MI0022559
1.30182
0.037464


hsa-miR-644a
MI0003659
1.27078
0.017279


hsa-miR-30e-3p
MI0000749
1.26481
0.04985


hsa-miR-106b-5p
MI0000734
1.26211
0.023098


hsa-miR-1299
MI0006359
1.25812
0.045838


hsa-miR-887-3p
MI0005562
1.24732
0.018241


hsa-miR-361-3p
MI0000760
1.20882
0.046777


hsa-miR-597-5p
MI0003609
1.20656
0.015173


hsa-miR-651-5p
MI0003666
1.14001
0.032802


hsa-miR-342-3p
MI0000805
1.07716
0.024633


hsa-miR-155-5p
MI0000681
1.06865
0.008355


hsa-miR-30a-3p
MI0000088
1.04953
0.049902


hsa-miR-376c-5p
MI0000776
1.02129
0.033543


hsa-miR-4531
MI0016898
0.970625
0.045213


hsa-miR-1908-5p
MI0008329
0.968483
0.006126


hsa-miR-374c-5p
MI0016684
0.968483
0.007468


hsa-miR-141-3p
MI0000457
0.937446
0.004174


hsa-miR-487b-3p
MI0003530
0.720087
0.034532


hsa-let-7g-5p
MI0000433
−0.76136
0.010099


hsa-let-7d-5p
MI0000065
−1.28254
0.011394


hsa-miR-140-5p
MI0000456
−1.38831
0.034678


hsa-let-7i-5p
MI0000434
−1.48268
0.00418


hsa-miR-199b-5p
MI0000282
−1.54835
0.004609


hsa-miR-181a-5p
MI0000289
−1.60508
0.043778


hsa-miR-93-5p
MI0000095
−1.70293
0.040842


hsa-miR-22-3p
MI0000078
−1.81403
0.025015


hsa-miR-21-5p
MI0000077
−1.82515
0.011066


hsa-miR-24-3p
MI0000081
−1.86573
0.024126


hsa-miR-15a-5p
MI0000069
−2.15744
0.016223


hsa-miR-199a-3p +
MI0000242 +
−2.40735
0.017088


hsa-miR-199b-3p
MI0000282


hsa-miR-29b-3p
MI0000107
−2.9007
0.000435


hsa-let-7b-5p
MI0000063
−3.2038
1.89E−05


hsa-let-7a-5p
MI0000061
−6.35295
0.034528









TABLE 6 shows a list of exemplary differentially expressed protein cargo in HDC vs BM-MSC EVs

















Log2



Protein
Gene
Difference
p value


















Ectonucleotide
ENPP1
5.113114039
0.001777813


pyrophosphatase/phosphodiesterase family


member 1; Alkaline phosphodiesterase I;


Nucleotide pyrophosphatase


Caldesmon
CALD1
3.873648961
0.00057762


Neprilysin
MME
3.229970932
0.000944198


UTP--glucose-1-phosphate
UGP2
3.02215004
0.001529127


uridylyltransferase


Major vault protein
MVP
2.45493571
0.000536644


Gamma-enolase; Enolase
ENO2
2.359129588
0.000297653


Niemann-Pick C1 protein
NPC1
2.298453013
0.002822243


Myosin regulatory light chain 12B; Myosin
MYL12B;
2.242603302
0.000882352


regulatory light chain 12A
MYL12A


Coronin-1C; Coronin
CORO1C
1.745135625
0.001159066


T-complex protein 1 subunit alpha
TCP1
1.660648346
0.002936757


Tubulin-specific chaperone A
TBCA
1.310288747
0.001436331


Protein spinster homolog 1
SPNS1
1.075093587
0.001325142


14-3-3 protein epsilon
YWHAE
0.795204798
0.000971929


Syntaxin-4
STX4
0.590283712
0.000162322


Band 4.1-like protein 2
EPB41L2
−2.013690313
0.000239126


Latent-transforming growth factor beta-
LTBP2
−2.616281509
0.002945221


binding protein 2


Procollagen-lysine,2-oxoglutarate 5-
PLOD1
−3.127297719
0.002214353


dioxygenase 1


Hemoglobin subunit beta; LVV-hemorphin-7;
HBB
−3.162877401
0.002488562


Spinorphin


Fibrillin-1
FBN1
−3.394845327
9.5844E−06


Thrombospondin-2
THBS2
−3.841739019
0.002997381


Fibulin-1
FBLN1
−4.651089986
0.001453623


Versican core protein
VCAN
−5.202549616
0.000440219


Leucine-rich alpha-2-glycoprotein
LRG1
−5.707799911
0.000438009









TABLE 7 shows a list of exemplary differentially expressed cargo proteins in BM-MSC vs UC-MSC EVs

















Log2



Protein
Gene
Difference
p-Value


















Fibrinogen gamma chain
FGG
11.53893725
9.38E−06


Ceruloplasmin
CP
11.35622056
0.000525


Complement C1r subcomponent;
C1R
9.726323446
0.000698


Complement C1r subcomponent heavy


chain; Complement C1r subcomponent light


chain


LIM and senescent cell antigen-like-
LIMS1
8.137312571
0.000225


containing domain protein 1


Plasminogen; Plasmin heavy chain
PLG
8.039388021
1.72E−05


A; Activation peptide; Angiostatin; Plasmin


heavy chain A, short form; Plasmin light


chain B


Glia-derived nexin
SERPINE2
7.861179988
3.12E−05


Apolipoprotein E
APOE
7.647237142
 4.8E−06


Apolipoprotein B-100; Apolipoprotein B-48
APOB
7.464042664
1.89E−05


Complement C3; Complement C3 beta
C3
6.910105387
2.04E−07


chain; C3-beta-c; Complement C3 alpha


chain; C3a anaphylatoxin; Acylation


stimulating protein; Complement C3b alpha


chain; Complement C3c alpha chain


fragment 1; Complement C3dg fragment;


Complement C3g fragment; Complement


C3d fragment; Complement C3f fragment;


Complement C3c alpha chain fragment 2


Integrin-linked protein kinase
ILK
6.548437119
9.87E−06


Leucine-rich alpha-2-glycoprotein
LRG1
6.444966634
6.38E−05


Alpha-2-HS-glycoprotein; Alpha-2-HS-
AHSG
6.309399923
0.002604


glycoprotein chain A; Alpha-2-HS-


glycoprotein chain B


Transthyretin
TTR
6.187903086
0.017308


Serotransferrin
TF
6.148430824
0.001637


Rho GDP-dissociation inhibitor 2
ARHGDIB
6.028390249
0.000235


Carboxypeptidase N catalytic chain
CPN1
5.818281174
0.000154


Thrombospondin-1
THBS1
5.608400345
4.41E−06


Vitamin D-binding protein
GC
5.078195572
0.000292


Gelsolin
GSN
4.99415652
4.45E−06


Clusterin; Clusterin beta chain; Clusterin
CLU
4.993111293
3.38E−05


alpha chain; Clusterin


Coactosin-like protein
COTL1
4.906246821
0.001098


Cadherin-13
CDH13
4.815336227
0.00014


Tubulin alpha-4A chain
TUBA4A
4.779610634
0.001251


EMILIN-1
EMILIN1
4.644694646
0.00025


Carboxypeptidase N subunit 2
CPN2
4.516239166
0.000221


Procollagen-lysine,2-oxoglutarate 5-
PLOD1
4.506978989
1.49E−05


dioxygenase 1


Alpha-2-macroglobulin
A2M
4.334324519
3.21E−05


Prothrombin; Activation peptide fragment 1;
F2
4.287651062
 8.7E−05


Activation peptide fragment 2; Thrombin light


chain; Thrombin heavy chain


Hemoglobin subunit beta; LVV-hemorphin-
HBB
4.274690628
0.000505


7; Spinorphin


Talin-1
TLN1
4.061203639
1.01E−05


Complement component C8 beta chain
C8B
3.717856089
0.000155


Apolipoprotein A-II; Proapolipoprotein A-II;
APOA2
3.50073115
0.024092


Truncated apolipoprotein A-II


Alpha-1B-glycoprotein
A1BG
3.405494054
0.003987


Kininogen-1; Kininogen-1 heavy chain; T-
KNG1
3.401656151
0.017381


kinin; Bradykinin; Lysyl-bradykinin;


Kininogen-1 light chain; Low molecular


weight growth-promoting factor


Protein disulfide-isomerase A3
PDIA3
3.274178823
0.000239


Peptidyl-prolyl cis-trans isomerase B
PPIB
3.256006877
0.000194


Protein disulfide-isomerase A3
PDIA3
3.13722229
0.000408


Ras suppressor protein 1
RSU1
3.120337168
0.003762


Staphylococcal nuclease domain-containing
SND1
3.030210813
0.002457


protein 1


Basement membrane-specific heparan
HSPG2
3.02191035
0.002672


sulfate proteoglycan core protein;


Endorepellin; LG3 peptide


Ras-related protein Rab-6B
RAB6B
2.949335734
0.009257


Fibrillin-1
FBN1
2.802187602
 5.1E−05


Latent-transforming growth factor beta-
LTBP1
2.769350052
0.003056


binding protein 1


Filamin-A
FLNA
2.759649277
0.000418


N-acetylmuramoyl-L-alanine amidase
PGLYRP2
2.717362722
0.032715


PDZ and LIM domain protein 7
PDLIM7
2.668416023
0.008667


Nidogen-1
NID1
2.606767654
0.004205


Coronin-1B; Coronin
CORO1B
2.552958488
0.000146


Transforming growth factor-beta-induced
TGFBI
2.52694575
0.000388


protein ig-h3


Fibulin-1
FBLN1
2.46722285
0.066191


Phosphatidylinositol 5-phosphate 4-kinase
PIP4K2A
2.392644882
0.033541


type-2 alpha


Ras-related protein Rab-11A; Ras-related
RAB11A; RAB11B
2.383615494
0.008702


protein Rab-11B


Neutral alpha-glucosidase AB
GANAB
2.35820961
0.00012


Nucleosome assembly protein 1-like 1
NAP1L1
2.217396418
0.000266


Integrin alpha-2
ITGA2
2.217300097
0.02589


Profilin-1
PFN1
2.117497126
0.001646


Adenine phosphoribosyltransferase
APRT
2.05325826
0.001842


Nidogen-2
NID2
2.033540408
0.00345


Calponin-2; Calponin
CNN2
2.02983729
0.00614


Lysyl oxidase homolog 2
LOXL2
2.026821136
0.018291


Ras-related protein Rap-1b; Ras-related
RAP1B
2.011583964
0.000669


protein Rap-1b-like protein


Alpha-actinin-1
ACTN1
1.964907328
0.016346


WD repeat-containing protein 1
WDR1
1.94318072
0.001614


Calreticulin
CALR
1.917475382
0.019895


Versican core protein
VCAN
1.904214223
0.020251


Drebrin-like protein
DBNL
1.903315226
0.001995


Four and a half LIM domains protein 1
FHL1
1.892479579
0.025879


CD9 antigen; Tetraspanin
CD9
1.826656977
0.052494


Actin-related protein 2/3 complex subunit 5
ARPC5
1.819590886
0.006237


Haptoglobin; Haptoglobin alpha
HP
1.599509557
0.073288


chain; Haptoglobin beta chain


Fibulin-1
FBLN1
1.559761047
0.07549


Ras-related protein Rap-1A
RAP1A
1.520785014
0.027337


EH domain-containing protein 3
EHD3
1.503062566
0.017028


Olfactomedin-like protein 3
OLFML3
1.496929804
0.036128


78 kDa glucose-regulated protein
HSPA5
1.493914922
0.003278


Transgelin-2
TAGLN2
1.479733785
0.012948


Coronin-1C; Coronin
CORO1C
1.449632009
0.004079


Metalloproteinase inhibitor 1
TIMP1
1.418584506
0.055184


Endoplasmin
HSP90B1
1.414442062
0.008221


Septin-7
SEPT7
1.366061529
0.050183


EGF-like repeat and discoidin I-like domain-
EDIL3
1.341881434
0.026873


containing protein 3


Heat shock 70 kDa protein 6; Putative heat
HSPA6; HSPA7
1.239110947
0.068452


shock 70 kDa protein 7


Uroporphyrinogen decarboxylase
UROD
1.1327432
0.086842


Actin, cytoplasmic 2; Actin, cytoplasmic 2, N-
ACTG1
1.119582494
0.000878


terminally processed


Chloride intracellular channel protein 1
CLIC1
1.111235301
0.000765


Protein-L-isoaspartate(D-aspartate) O-
PCMT1
1.093972524
0.054207


methyltransferase; Protein-L-isoaspartate O-


methyltransferase


Actin-related protein 2/3 complex subunit 3
ARPC3
1.021934509
0.004881


Ras-related protein Rab-8A
RAB8A
1.011357625
0.077621


Actin-related protein 2/3 complex subunit 4
ARPC4; ARPC4-TTLL3
0.995695114
0.013535


Actin, cytoplasmic 1; Actin, cytoplasmic 1, N-
ACTB
0.99417305
0.042763


terminally processed


Glutathione S-transferase omega-1
GSTO1
0.963256836
0.06289


Elongation factor 1-gamma
EEF1G
0.956480662
0.040932


S-formylglutathione hydrolase
ESD
0.938319524
0.03915


Ubiquitin-conjugating enzyme E2 D3;
UBE2D3; UBE2D2
0.836124738
0.019979


Ubiquitin-conjugating enzyme E2 D2


Actin, alpha cardiac muscle 1; Actin, alpha
ACTC1; ACTA1; ACTA2;
0.813611984
0.007967


skeletal muscle; Actin, aortic smooth muscle;
ACTG2


Actin, gamma-enteric smooth muscle


EH domain-containing protein 1
EHD1
0.794841131
0.056673


Xaa-Pro dipeptidase
PEPD
0.743752797
0.00189


Coatomer subunit alpha; Xenin; Proxenin
COPA
0.671942393
0.048507


Xaa-Pro aminopeptidase 1
XPNPEP1
0.671688716
0.060397


Peptidyl-prolyl cis-trans isomerase
PPIA
0.650396983
0.050259


A; Peptidyl-prolyl cis-trans isomerase A, N-


terminally processed; Peptidyl-prolyl cis-


trans isomerase


Adenylyl cyclase-associated protein 1
CAP1
0.641578674
0.024768


Actin-related protein 2/3 complex subunit 1B
ARPC1B
0.515665054
0.068968


Actin-related protein 2
ACTR2
0.505652746
0.069258


Phosphoglucomutase-1
PGM1
0.49863561
0.026697


14-3-3 protein eta
YWHAH
0.463267644
0.027132


Tetraspanin; Tetraspanin-4
TSPAN4
0.372366587
0.093044


Actin-related protein 3
ACTR3
0.357124964
0.015024


Ras-related C3 botulinum toxin substrate 1;
RAC1; RAC3
−0.235600154
0.023612


Ras-related C3 botulinum toxin substrate 3


Tubulin alpha-1B chain
TUBA1B
−0.256469091
0.06935


Glyceraldehyde-3-phosphate
GAPDH
−0.43097496
0.031821


dehydrogenase


Annexin A7
ANXA7
−0.538093567
0.05981


Rho GDP-dissociation inhibitor 1
ARHGDIA
−0.550912857
0.069826


Serine/threonine-protein phosphatase 2A
PPP2CA; PPP2CB
−0.586080551
0.019591


catalytic subunit alpha isoform;


Serine/threonine-protein phosphatase 2A


catalytic subunit beta isoform


Protein Wnt-5a; Protein Wnt
WNT5A
−0.658051173
0.033948


F-actin-capping protein subunit alpha-1
CAPZA1
−0.696228027
0.003685


Integrin alpha-3; Integrin alpha-3 heavy
ITGA3
−0.742219925
0.071423


chain; Integrin alpha-3 light chain


Cysteine and glycine-rich protein 2
CSRP2
−0.758712133
0.043892


Tubulin beta-4B chain
TUBB4B
−0.76170222
0.007693


Triosephosphate isomerase
TPI1
−0.793954849
0.037918


26S proteasome non-ATPase regulatory
PSMD7
−0.808287938
0.07835


subunit 7


Destrin
DSTN
−0.823013306
0.010363


Ezrin
EZR
−0.85598882
0.01583


60S ribosomal protein L10a
RPL10A
−0.857755661
0.046063


Proteasome subunit alpha type-5
PSMA5
−0.892100016
0.067697


Gamma-enolase; Enolase
ENO2
−0.906215668
0.022791


Protein disulfide-isomerase
P4HB
−0.910208384
0.069507


Basigin
BSG
−0.914412181
0.087364


Ras-related protein Rab-1A
RAB1A
−0.920277913
0.0105


Actin-related protein 2/3 complex subunit 1A
ARPC1A
−0.9428943
0.002192


Ras-related protein Rab-7a
RAB7A
−0.953426361
0.002275


Cell division control protein 42 homolog
CDC42
−0.964885076
0.001601


Programmed cell death 6-interacting protein
PDCD6IP
−0.984692891
0.071756


Ras-related protein Rab-14
RAB14
−0.987318675
0.046321


Phospholipid scramblase 3
PLSCR3; TMEM256-
−1.004420916
0.042603



PLSCR3


ATP synthase subunit beta, mitochondrial;
ATP5B
−1.008117676
0.003831


ATP synthase subunit beta


Transforming protein RhoA
RHOA
−1.008288066
3.05E−06


Ras-related protein Rab-5C
RAB5C
−1.017657598
0.084024


T-complex protein 1 subunit zeta
CCT6A
−1.018390656
0.081083


Zinc transporter ZIP14
SLC39A14
−1.023371379
0.0677


1,4-alpha-glucan-branching enzyme
GBE1
−1.025686264
0.060021


SH3 domain-binding glutamic acid-rich-like
SH3BGRL3
−1.026795069
0.065859


protein 3


Heat shock protein HSP 90-alpha
HSP90AA1
−1.043341955
0.013367


T-complex protein 1 subunit gamma
CCT3
−1.048494975
0.006036


72 kDa type IV collagenase; PEX
MMP2
−1.050679525
0.081578


Alpha-enolase
ENO1
−1.062243144
0.006354


Neutral amino acid transporter B(0); Amino
SLC1A5
−1.069807053
0.079032


acid transporter


Rab GDP dissociation inhibitor beta
GDI2
−1.082639058
0.023091


Tubulin beta-8 chain
TUBB8
−1.095911662
0.00154


40S ribosomal protein S11
RPS11
−1.117990494
0.00104


T-complex protein 1 subunit theta
CCT8
−1.123994191
0.001819


Protein eva-1 homolog B
EVA1B
−1.151824315
0.059246


Histidine triad nucleotide-binding protein 1
HINT1
−1.154263179
0.017157


Procollagen C-endopeptidase enhancer 1
PCOLCE
−1.159313838
0.006193


T-complex protein 1 subunit delta
CCT4
−1.171791712
0.045723


Fascin
FSCN1
−1.176886876
0.018236


Septin-11
SEPT11
−1.195652008
0.003702


Metalloproteinase inhibitor 2
TIMP2
−1.201161702
0.013401


Syntenin-1
SDCBP
−1.208391825
0.056188


14-3-3 protein gamma; 14-3-3 protein
YWHAG
−1.218238831
0.001209


gamma, N-terminally processed


Elongation factor 2
EEF2
−1.222723643
0.000477


Tubulin beta-2A chain
TUBB2A
−1.231826464
0.023497


Heterogeneous nuclear ribonucleoprotein K
HNRNPK
−1.240187327
0.000637


Annexin A1; Annexin
ANXA1
−1.264520009
0.005948


Myosin-9
MYH9
−1.270516713
0.020816


Band 4.1-like protein 2
EPB41L2
−1.284753482
0.012226


Profilin-2; Profilin
PFN2
−1.295940399
0.091851


CD59 glycoprotein
CD59
−1.307412465
0.019534


Heat shock protein HSP 90-beta
HSP90AB1
−1.318971634
0.003781


Disintegrin and metalloproteinase domain-
ADAM10
−1.324214935
0.065442


containing protein 10


Alcohol dehydrogenase class-3
ADH5
−1.356280327
0.029018


L-lactate dehydrogenase B chain; L-lactate
LDHB
−1.373849233
0.024359


dehydrogenase


Glucose-6-phosphate isomerase
GPI
−1.397775014
0.008802


Heterogeneous nuclear ribonucleoprotein Q
SYNCRIP
−1.399332364
0.000797


Proteasome subunit beta type-6; Proteasome
PSMB6
−1.443112055
0.091775


subunit beta type


Moesin
MSN
−1.443145116
0.005359


Chloride intracellular channel protein 4
CLIC4
−1.451898575
0.037067


CD44 antigen
CD44
−1.466406504
0.01546


Human leukocyte antigen-A
HLA-A
−1.477623622
0.029491


Gap junction alpha-1 protein
GJA1
−1.485594432
0.000789


Phosphatidylethanolamine-binding protein 1;
PEBP1
−1.492188454
0.000434


Hippocampal cholinergic neurostimulating


peptide


Serine--tRNA ligase, cytoplasmic
SARS
−1.492766698
0.004553


Monocarboxylate transporter 1
SLC16A1
−1.50379022
0.005728


Copine-1
CPNE1
−1.510477384
0.023687


Ras-related protein Rab-21
RAB21
−1.511221568
0.005957


T-complex protein 1 subunit eta
CCT7
−1.515151978
0.034264


60S ribosomal protein L11
RPL11
−1.519344966
0.012229


Histone H1.4; Histone H1.3
HIST1H1E; HIST1H1D
−1.534877141
0.015207


Histone H2B type 1-H; Histone H2B type 1-
HIST1H2BH;
−1.549941381
0.002521


N; Histone H2B type 1-C/E/F/G/l; Histone
HIST1H2BN;


H2B type 1-D; Histone H2B type 1-K; Histone
HIST1H2BC; HIST1H2BD;


H2B type 2-F; Histone H2B type 1-M;
HIST1H2BK;


Histone H2B type F-S; Histone H2B; Histone
HIST2H2BF;


H2B type 1-L
HIST1H2BM; H2BFS;



HIST1H2BL


Phosphoglycerate mutase 1
PGAM1
−1.558860143
0.001088


Solute carrier family 43 member 3
SLC43A3
−1.561822573
0.002126


Plectin
PLEC
−1.59133021
0.038458


TLD domain-containing protein 1
TLDC1
−1.602067629
0.014368


Ras-related protein R-Ras
RRAS
−1.612167358
0.041831


Proteasome subunit alpha type-
PSMA2
−1.612372716
0.013922


2; Proteasome subunit alpha type


Neuropilin-1
NRP1
−1.615470886
0.003707


Guanine nucleotide-binding protein
GNB1
−1.619574865
0.001586


G(I)/G(S)/G(T) subunit beta-1


DnaJ homolog subfamily A member 2
DNAJA2
−1.628042857
0.003349


Guanine nucleotide-binding protein G(i)
GNAI2
−1.632598241
0.004976


subunit alpha-2


Voltage-dependent calcium channel subunit
CACNA2D1
−1.637768428
0.007555


alpha-2/delta-1; Voltage-dependent calcium


channel subunit alpha-2-1; Voltage-


dependent calcium channel subunit delta-1


Histone H2A type 1-C; Histone H2A type
HIST1H2AC; HIST3H2A;
−1.646881739
0.067189


3; Histone H2A type 1-B/E
HIST1H2AB


T-complex protein 1 subunit alpha
TCP1
−1.662612915
0.006654


Pregnancy zone protein
PZP
−1.698042552
0.03878


Inactive tyrosine-protein kinase 7
PTK7
−1.718339284
0.00668


Guanine nucleotide-binding protein
GNB2
−1.722396851
0.022352


G(I)/G(S)/G(T) subunit beta-2


V-type proton ATPase catalytic subunit A
ATP6V1A
−1.731585185
0.004611


Histone H3.1
HIST1H3A
−1.735469182
0.017473


Catenin beta-1
CTNNB1
−1.746927261
0.029684


CD99 antigen
CD99
−1.792532603
0.057505


Golgi-associated plant pathogenesis-related
GLIPR2
−1.835244497
0.042592


protein 1


Ephrin type-A receptor 2
EPHA2
−1.85188357
0.00989


40S ribosomal protein S18
RPS18
−1.864254634
0.019016


Annexin A11
ANXA11
−1.88263003
0.00666


AP-2 complex subunit alpha-1
AP2A1
−1.891040802
0.003834


Large neutral amino acids transporter small
SLC7A5
−1.896438599
0.008984


subunit 1


L-lactate dehydrogenase A chain
LDHA
−1.931990941
0.000355


Ubiquitin-conjugating enzyme E2 N
UBE2N
−1.946130753
0.029991


Ras-related protein Rab-8B
RAB8B
−2.017372767
0.001921


Sodium/potassium-transporting ATPase
ATP1A1
−2.038682302
0.001639


subunit alpha-1


Collagen alpha-2(I) chain
COL1A2
−2.04159228
0.002909


Membrane cofactor protein
CD46
−2.063545545
0.002485


Catenin alpha-1
CTNNA1
−2.063547134
0.023938


Fructose-bisphosphate aldolase A;
ALDOA
−2.084307988
0.003307


Fructose-bisphosphate aldolase


AP-2 complex subunit mu
AP2M1
−2.100608508
0.036783


Metallothionein-2; Metallothionein-
MT2A; MT1X; MT1G
−2.120922724
0.001812


1X; Metallothionein-1G


Clathrin heavy chain 1; Clathrin heavy chain
CLTC
−2.1215566
0.002412


Tubulin beta-3 chain
TUBB3
−2.166651408
0.016448


Protein S100-A11; Protein S100-A11, N-
S100A11
−2.16773351
0.014476


terminally processed


Ragulator complex protein LAMTOR1
LAMTOR1
−2.176279704
0.067025


Malate dehydrogenase, cytoplasmic
MDH1
−2.187123617
0.003051


14-3-3 protein beta/alpha; 14-3-3 protein
YWHAB
−2.190735499
0.008636


beta/alpha, N-terminally processed


Fibronectin; Anastellin; Ugl-Y1 ;Ugl-Y2; Ugl-
FN1
−2.191310883
0.000311


Y3


GTPase NRas
NRAS
−2.219266891
0.014678


Integrin alpha-V; Integrin alpha-V heavy
ITGAV
−2.253095627
0.002372


chain; Integrin alpha-V light chain


Elongation factor 1-alpha 1; Putative
EEF1A1; EEF1A1P5
−2.314221064
0.000316


elongation factor 1-alpha-like 3; Elongation


factor 1-alpha


Isocitrate dehydrogenase [NADP]
IDH1
−2.318430583
0.019377


cytoplasmic


40S ribosomal protein S3
RPS3
−2.33172226
0.003216


Protein S100-A16
S100A16
−2.341890971
0.002934


Target of Nesh-SH3
ABI3BP
−2.352123578
0.01635


Protein deglycase DJ-1
PARK7
−2.355499268
0.061434


Guanine nucleotide-binding protein subunit
GNB2L1
−2.429574013
0.051818


beta-2-like 1; Guanine nucleotide-binding


protein subunit beta-2-like 1, N-terminally


processed


N(G),N(G)-dimethylarginine
DDAH2
−2.429575602
0.00318


dimethylaminohydrolase 2


60S ribosomal protein L30
RPL30
−2.432015101
0.002761


Anoctamin-6
ANO6
−2.454902649
0.016753


Importin subunit beta-1
KPNB1
−2.460813522
0.015913


Protein PTHB1
BBS9
−2.461169561
0.003939


Myosin light polypeptide 6
MYL6
−2.4678847
0.000818


Ras-related protein Rab-2A; Ras-related
RAB2A; RAB2B
−2.469094594
0.003118


protein Rab-2B


Protein S100-A6; Protein S100
S100A6
−2.492087046
0.00205


Guanine nucleotide-binding protein subunit
GNA13
−2.511872292
0.033683


alpha-13


ATP-citrate synthase
ACLY
−2.523176829
0.004939


Dihydropyrimidinase-related protein 3
DPYSL3
−2.549312592
0.002791


Annexin A5; Annexin
ANXA5
−2.55663681
0.000199


Histone H4
HIST1H4A
−2.576080322
0.016631


Annexin A2; Annexin; Putative annexin A2-
ANXA2; ANXA2P2
−2.613524119
0.002558


like protein


5-nucleotidase
NT5E
−2.633281708
0.00045


40S ribosomal protein S7
RPS7
−2.6686999
0.026754


Collagen alpha-1(I) chain
COL1A1
−2.674326579
0.004696


Histone H2A type 1; Histone H2A type 1-
HIST1H2AG; HIST1H2AJ;
−2.676062266
0.014559


J; Histone H2A.J; Histone H2A type 1-H;
H2AFJ; HIST1H2AH;


Histone H2A type 1-D; Histone H2A
HIST1H2AD


Trophoblast glycoprotein
TPBG
−2.765989304
0.003007


Catenin delta-1
CTNND1
−2.793895086
0.000197


Myeloid-associated differentiation marker
MYADM
−2.79438146
0.007036


Hemoglobin subunit alpha
HBA1
−2.79531606
0.005925


Transitional endoplasmic reticulum ATPase
VCP
−2.804110209
0.000151


Rho-related GTP-binding protein RhoG
RHOG
−2.82045428
8.83E−05


Unconventional myosin-Ic
MYO1C
−2.825150808
0.008511


Guanine nucleotide-binding protein
GNG5
−2.839602788
0.019566


G(I)/G(S)/G(O) subunit gamma-5


Guanine nucleotide-binding protein G(k)
GNAI3
−2.943008741
0.0376


subunit alpha


EH domain-containing protein 4
EHD4
−2.944389343
0.012516


Brain acid soluble protein 1
BASP1
−3.048605601
0.000922


14-3-3 protein epsilon
YWHAE
−3.104934692
0.007848


Ras-related protein Ral-A
RALA
−3.132036845
0.000447


Monocarboxylate transporter 4
SLC16A3
−3.139686584
0.001014


Dihydropyrimidinase-related protein 2
DPYSL2
−3.168667475
0.000687


Matrix metalloproteinase-14
MMP14
−3.185950597
0.000533


Annexin A6; Annexin
ANXA6
−3.196523031
1.55E−05


ADP-ribosylation factor-like protein 8B
ARL8B
−3.351240794
0.00235


Thymosin beta-4; Hematopoietic system
TMSB4X
−3.377904256
0.005972


regulatory peptide


Integrin beta-5
ITGB5
−3.385969798
0.004883


Ubiquitin carboxyl-terminal hydrolase
UCHL1
−3.423197428
0.002138


isozyme L1; Ubiquitin carboxyl-terminal


hydrolase


Prolyl endopeptidase FAP; Antiplasmin-
FAP
−3.437456449
0.076019


cleaving enzyme FAP, soluble form


Galectin-1
LGALS1
−3.437585831
0.001447


Ribonuclease inhibitor
RNH1
−3.524065653
0.008254


MARCKS-related protein
MARCKSL1
−3.526751836
0.006391


Plasma membrane calcium-transporting
ATP2B1
−3.596431096
0.015383


ATPase 1; Calcium-transporting ATPase


Major vault protein
MVP
−3.74001503
0.003364


Neprilysin
MME
−3.786698023
3.33E−05


Nucleoside diphosphate kinase; Nucleoside
NME1-NME2; NME2
−3.951183319
0.002235


diphosphate kinase B


Transferrin receptor protein 1; Transferrin
TFRC
−3.952521642
0.000586


receptor protein 1, serum form


D-3-phosphoglycerate dehydrogenase
PHGDH
−3.960495631
0.000408


Histone H1.5
HIST1H1B
−4.089924494
0.0022


Fatty acid synthase; [Acyl-carrier-protein] S-
FASN
−4.139530182
0.006257


acetyltransferase; [Acyl-carrier-protein] S-


malonyltransferase; 3-oxoacyl-[acyl-carrier-


protein] synthase; 3-oxoacyl-[acyl-carrier-


protein] reductase; 3-hydroxyacyl-[acyl-


carrier-protein] dehydratase; Enoyl-[acyl-


carrier-protein] reductase; Oleoyl-[acyl-


carrier-protein] hydrolase


Annexin A4; Annexin
ANXA4
−4.170916875
0.002138


Synaptic vesicle membrane protein VAT-1
VAT1
−4.173790614
0.001159


homolog


60S acidic ribosomal protein P0; 60S acidic
RPLPO; RPLPOP6
−4.195742289
0.004046


ribosomal protein P0-like


Myristoylated alanine-rich C-kinase
MARCKS
−4.222830455
0.002064


substrate


Ras-related protein Rap-2b
RAP2B
−4.480142593
0.000401


Vimentin
VIM
−4.69357427
0.000463


Prolow-density lipoprotein receptor-related
LRP1
−4.759888967
0.000379


protein 1; Low-density lipoprotein receptor-


related protein 1 85 kDa subunit; Low-density


lipoprotein receptor-related protein 1 515


kDa subunit; Low-density lipoprotein


receptor-related protein 1 intracellular


domain


Tropomyosin alpha-4 chain
TPM4
−4.999219259
0.000459


Transketolase
TKT
−5.062716802
0.000144


Serpin H1
SERPINH1
−5.194419225
0.002085


Niban-like protein 1
FAM129B
−5.565500259
1.52E−06


UTP--glucose-1-phosphate
UGP2
−5.668725332
 4.9E−05


uridylyltransferase


Neuroblast differentiation-associated protein
AHNAK
−6.436819077
0.006955


AHNAK


Myoferlin
MYOF
−7.318937937
0.000588









TABLE 8 shows a list of exemplary differentially expressed cargo proteins in HOC vs UC-MSC EVs;















Protein
Gene
Log2 Difference
p-Value


















Fibrinogen beta chain; Fibrinopeptide B;
FGB
11.11058807
7.92E−05


Fibrinogen beta chain


Inter-alpha-trypsin inhibitor heavy chain H4;
ITIH4
9.603206952
0.000379


70 kDa inter-alpha-trypsin inhibitor heavy


chain H4; 35 kDa inter-alpha-trypsin inhibitor


heavy chain H4


Alpha-1-antitrypsin; Short peptide from AAT
SERPINA1
9.431540171
0.000579


Vitronectin; Vitronectin V65 subunit;
VTN
8.951140722
0.000311


Vitronectin V10 subunit; Somatomedin-B


Complement component C9; Complement
C9
8.426261266
0.000894


component C9a; Complement component C9b


Complement C1s subcomponent;
C1S
8.376797358
8.98E−06


Complement C1s subcomponent heavy


chain; Complement C1s subcomponent light


chain


Ceruloplasmin
CP
8.364689509
0.000183


Apolipoprotein B-100; Apolipoprotein B-48
APOB
8.327229182
0.000175


LIM and senescent cell antigen-like-
LIMS1
8.326121012
0.000204


containing domain protein 1


Complement C1r subcomponent;
C1R
7.75058492
0.000519


Complement C1r subcomponent heavy


chain; Complement C1r subcomponent light


chain


Complement C4-B; Complement C4 beta
C4B
7.687116623
0.000154


chain; Complement C4-B alpha chain; C4a


anaphylatoxin; C4b-B; C4d-B; Complement


C4 gamma chain


Plasminogen; Plasmin heavy chain
PLG
7.499070485
2.33E−05


A; Activation peptide; Angiostatin; Plasmin


heavy chain A, short form; Plasmin light


chain B


Integrin-linked protein kinase
ILK
7.381437302
0.000545


Apolipoprotein E
APOE
6.806344986
7.44E−06


Complement C3; Complement C3 beta
C3
6.641883214
  4E−06


chain; C3-beta-c; Complement C3 alpha


chain; C3a anaphylatoxin; Acylation


stimulating protein; Complement C3b alpha


chain; Complement C3c alpha chain


fragment 1; Complement C3dg fragment;


Complement C3g fragment; Complement


C3d fragment; Complement C3f fragment;


Complement C3c alpha chain fragment 2


Clusterin; Clusterin beta chain; Clusterin
CLU
6.195671717
0.000395


alpha chain; Clusterin


Insulin-like growth factor-binding protein
IGFALS
5.764334361
0.002602


complex acid labile subunit


Gelsolin
GSN
5.757106781
6.06E−06


Lumican
LUM
5.490712484
0.001569


Vitamin D-binding protein
GC
5.337202708
0.000663


Vasodilator-stimulated phosphoprotein
VASP
5.0805734
0.010247


Proto-oncogene tyrosine-protein kinase Src
SRC
5.076328595
0.002997


Four and a half LIM domains protein 1
FHL1
4.98345534
0.001279


Talin-1
TLN1
4.691000621
4.14E−06


Carboxypeptidase N catalytic chain
CPN1
4.573361079
0.002444


Alpha-1-antichymotrypsin; Alpha-1-
SERPINA3
4.569726944
0.001565


antichymotrypsin His-Pro-less


Serotransferrin
TF
4.560809453
0.004153


Angiopoietin-related protein 4
ANGPTL4
4.481006622
0.032783


Complement C5; Complement C5 beta
C5
4.462275187
0.026043


chain; Complement C5 alpha chain; C5a


anaphylatoxin; Complement C5 alpha chain


Filamin-A
FLNA
4.293055852
 9.3E−06


Glia-derived nexin
SERPINE2
4.185921987
0.001963


Haptoglobin-related protein
HPR
4.115037282
0.001807


Coactosin-like protein
COTL1
3.995031993
0.000296


Peptidyl-prolyl cis-trans isomerase B
PPIB
3.778753281
0.012164


Thrombospondin-1
THBS1
3.7745622
0.000192


Tubulin alpha-4A chain
TUBA4A
3.76786232
0.007346


Carboxypeptidase N subunit 2
CPN2
3.693068186
0.001597


Tubulin beta-1 chain
TUBB1
3.602682749
0.048074


Alpha-2-macroglobulin
A2M
3.599001567
0.000632


Prothrombin; Activation peptide fragment 1;
F2
3.46970431
0.000479


Activation peptide fragment 2; Thrombin light


chain; Thrombin heavy chain


Ras suppressor protein 1
RSU1
3.458136241
0.002814


Protein disulfide-isomerase A3
PDIA3
3.43069458
0.000112


Sulfhydryl oxidase 1
QSOX1
3.428002675
0.026098


Staphylococcal nuclease domain-containing
SND1
3.324395498
0.000945


protein 1


ADAMTS-like protein 1
ADAMTSL1
3.27017053
0.042179


Rho GDP-dissociation inhibitor 2
ARHGDIB
3.234182358
0.009995


Coronin-1C; Coronin
CORO1C
3.194767634
 3.3E−05


Transthyretin
TTR
3.114487966
0.003372


Calreticulin
CALR
3.107383092
0.020328


Actin-related protein 2/3 complex subunit 5
ARPC5
2.948189418
0.049673


Plasma protease C1 inhibitor
SERPING1
2.92954127
0.024518


Uroporphyrinogen decarboxylase
UROD
2.900180181
0.009588


EH domain-containing protein 3
EHD3
2.88543129
0.004383


Calponin-2; Calponin
CNN2
2.862098058
0.005281


Phosphatidylinositol-glycan-specific
GPLD1
2.857206027
0.04068


phospholipase D


Phosphatidylinositol 5-phosphate 4-kinase
PIP4K2A
2.854852041
0.004301


type-2 alpha


Nucleosome assembly protein 1-like 1
NAP1L1
2.83447202
0.0006


Collagen alpha-1(XII) chain
COL12A1
2.79437383
0.010034


Protein disulfide-isomerase A3
PDIA3
2.775880814
0.00051


Nidogen-2
NID2
2.741861979
0.022596


EGF-containing fibulin-like extracellular
EFEMP2
2.674822489
0.003763


matrix protein 2


Pigment epithelium-derived factor
SERPINF1
2.582054774
0.000797


Lysyl oxidase homolog 2
LOXL2
2.493530909
0.048896


Phosphatidylcholine-sterol acyltransferase
LCAT
2.440402985
0.01618


Alpha-actinin-1
ACTN1
2.410259883
0.046168


Profilin-1
PFN1
2.332916896
0.004647


Ras-related protein Rap-1b; Ras-related
RAP1B
2.314561844
0.009431


protein Rap-1b-like protein


Glutathione S-transferase omega-1
GSTO1
2.308996201
0.003941


Endoplasmin
HSP90B1
2.247552236
0.001063


WD repeat-containing protein 1
WDR1
2.199163437
0.004992


Ras-related C3 botulinum toxin substrate 2
RAC2
2.159878413
0.015511


Cysteine and glycine-rich protein 1
CSRP1
2.123530706
0.005094


Transforming growth factor-beta-induced
TGFBI
2.085976283
0.000786


protein ig-h3


Transgelin-2
TAGLN2
2.038931529
0.020321


Coagulation factor X; Factor X light chain;
F10
1.989002228
0.029992


Factor X heavy chain; Activated factor Xa


heavy chain


Microfibrillar-associated protein 2
MFAP2
1.916358948
0.016297


Integrin alpha-6; Integrin alpha-6 heavy
ITGA6
1.90281868
0.016317


chain; Integrin alpha-6 light chain; Processed


integrin alpha-6


Actin, alpha cardiac muscle 1; Actin, alpha
ACTC1; ACTA1;
1.864763896
0.004322


skeletal muscle; Actin, aortic smooth muscle;
ACTA2; ACTG2


Actin, gamma-enteric smooth muscle


Actin, cytoplasmic 1; Actin, cytoplasmic 1, N-
ACTB
1.826754888
0.025265


terminally processed


Actin-related protein 2/3 complex subunit 1B
ARPC1B
1.813779831
0.009392


Actin, cytoplasmic 2; Actin, cytoplasmic 2, N-
ACTG1
1.781508764
0.002245


terminally processed


Complement component C8 beta chain
C8B
1.725031535
0.029478


60S ribosomal protein L12
RPL12
1.66728274
0.005073


78 kDa glucose-regulated protein
HSPA5
1.644758224
0.000552


Protein-L-isoaspartate(D-aspartate) O-
PCMT1
1.494677226
0.052821


methyltransferase; Protein-L-isoaspartate O-


methyltransferase


Adenine phosphoribosyltransferase
APRT
1.471345266
0.010296


Beta-2-glycoprotein 1
APOH
1.462315877
0.055964


Phosphoglucomutase-1
PGM1
1.457342148
0.001126


Gamma-enolase; Enolase
ENO2
1.45291392
0.001952


Actin-related protein 2/3 complex subunit 4
ARPC4;
1.447724024
0.000529



ARPC4-TTLL3


Neutral alpha-glucosidase AB
GANAB
1.397813797
0.023614


Procollagen-lysine,2-oxoglutarate 5-
PLOD1
1.379681269
0.033705


dioxygenase 1


Actin-related protein 2/3 complex subunit 3
ARPC3
1.369472504
0.014606


Rab GDP dissociation inhibitor alpha
GDI1
1.368916829
0.025072


Ras-related protein Rab-11A; Ras-related
RAB11A; RAB11B
1.308354696
0.020607


protein Rab-11B


Peroxiredoxin-6
PRDX6
1.286359787
0.000387


Septin-7
SEPTIN7
1.275589625
0.012999


Septin-2
SEPTIN2
1.272145589
0.060459


Chloride intracellular channel protein 1
CLIC1
1.262408574
0.000416


Phosphoglycerate kinase 1
PGK1
1.241307576
0.020908


Latent-transforming growth factor beta-
LTBP1
1.203079224
0.00599


binding protein 1


Hemoglobin subunit beta; LVV-hemorphin-
HBB
1.111813227
0.007298


7; Spinorphin


Xaa-Pro aminopeptidase 1
XPNPEP1
1.107275009
0.012813


Actin-related protein 2
ACTR2
1.090003967
0.020213


Heat shock protein beta-1
HSPB1
1.074621836
0.046299


Bifunctional purine biosynthesis protein PURH;
ATIC
0.972947439
0.058821


Phosphoribosylaminoimidazolecarboxamide


formyltransferase; IMP cyclohydrolase


F-actin-capping protein subunit alpha-2
CAPZA2
0.947106679
0.003918


Metalloproteinase inhibitor 1
TIMP1
0.93580691
0.023824


Ubiquitin-like modifier-activating enzyme 1
UBA1
0.884912491
0.003884


Peptidyl-prolyl cis-trans isomerase A;
PPIA
0.863606771
0.023129


Peptidyl-prolyl cis-trans isomerase A, N-


terminally processed; Peptidyl-prolyl cis-


trans isomerase


Actin-related protein 3
ACTR3
0.839741389
0.004516


Elongation factor 1-gamma
EEF1G
0.79719162
0.038323


Alpha-2-HS-glycoprotein; Alpha-2-HS-
AHSG
0.793289185
0.014843


glycoprotein chain A; Alpha-2-HS-


glycoprotein chain B


Adenylyl cyclase-associated protein 1
CAP1
0.765294393
0.019931


Myosin-9
MYH9
0.739054998
0.023288


Complement C1r subcomponent-like protein
C1RL
0.737073898
0.035242


Alpha-centractin; Beta-centractin
ACTR1A; ACTR1B
0.70118777
0.001145


Procollagen-lysine, 2-oxoglutarate 5-
PLOD2
0.65877533
0.017883


dioxygenase 2


ATP synthase subunit beta, mitochondrial;
ATP5B
0.441438993
0.031448


ATP synthase subunit beta


Fibrillin-1
FBN1
−0.592657725
0.003432


Cell division control protein 42 homolog
CDC42
−0.596544266
0.005793


14-3-3 protein gamma; 14-3-3 protein
YWHAG
−0.647521973
0.035179


gamma, N-terminally processed


4F2 cell-surface antigen heavy chain
SLC3A2
−0.698338826
0.036403


T-complex protein 1 subunit theta
CCT8
−0.720439911
0.058868


Heterogeneous nuclear ribonucleoprotein Q
SYNCRIP
−0.747550646
0.037248


Elongation factor 2
EEF2
−0.779102961
0.009097


V-type proton ATPase catalytic subunit A
ATP6V1A
−0.780028661
0.019082


Transforming protein RhoA
RHOA
−0.797949473
0.051211


Rab GDP dissociation inhibitor beta
GDI2
−0.904081345
0.030878


Integrin beta-1
ITGB1
−0.928953171
0.002827


Zinc transporter ZIP14
SLC39A14
−0.95541509
0.041163


Malate dehydrogenase, cytoplasmic
MDH1
−0.972000758
0.047999


Tetraspanin; Tetraspanin-4
TSPAN4
−0.975193342
2.94E−05


Moesin
MSN
−0.996741613
0.026453


Annexin A7
ANXA7
−1.027648926
0.006365


Myosin light polypeptide 6
MYL6
−1.029092153
0.004521


5-nucleotidase
NT5E
−1.03784879
0.0468


Fructose-bisphosphate aldolase A; Fructose-
ALDOA
−1.091207504
0.044502


bisphosphate aldolase


L-lactate dehydrogenase B chain; L-lactate
LDHB
−1.097032547
0.045997


dehydrogenase


60S ribosomal protein L11
RPL11
−1.134010951
0.056249


Serine--tRNA ligase, cytoplasmic
SARS
−1.184607188
0.026128


Histone H2B type 1-H; Histone H2B type 1-
HIST1H2BH;
−1.188809713
0.035265


N; Histone H2B type 1-C/E/F/G/I; Histone
HIST1H2BN;


H2B type 1-D; Histone H2B type 1-K; Histone
HIST1H2BC;


H2B type 2-F; Histone H2B type 1-M; Histone
HIST1H2BD;


H2B type F-S; Histone H2B; Histone H2B
HIST1H2BK;


type 1-L
HIST2H2BF;



HIST1H2BM;



H2BFS;



HIST1H2BL


Heat shock protein HSP 90-beta
HSP90AB1
−1.194969177
0.014259


Inactive tyrosine-protein kinase 7
PTK7
−1.200071335
0.057536


Ras-related protein Rab-7a
RAB7A
−1.226971308
0.015618


Ezrin
EZR
−1.332111359
0.021188


Vacuolar protein sorting-associated protein 35
VPS35
−1.346278191
0.039945


TLD domain-containing protein 1
TLDC1
−1.348193169
0.039772


Ras-related protein Rab-8B
RAB8B
−1.385351817
0.033773


Elongation factor 1-alpha 1; Putative
EEF1A1;
−1.462671916
0.029055


elongation factor 1-alpha-like 3; Elongation
EEF1A1P5


factor 1-alpha


Annexin A2; Annexin; Putative annexin A2-
ANXA2;
−1.465075175
0.036693


like protein
ANXA2P2


Haptoglobin; Haptoglobin alpha chain;
HP
−1.491697311
0.021116


Haptoglobin beta chain


FH1/FH2 domain-containing protein 1
FHOD1
−1.515716553
0.040192


Guanine nucleotide-binding protein
GNB1
−1.574413935
0.001649


G(I)/G(S)/G(T) subunit beta-1


40S ribosomal protein S3
RPS3
−1.575768789
0.03911


CD59 glycoprotein
CD59
−1.645769119
0.051675


CD99 antigen
CD99
−1.661611557
0.033678


Hemopexin
HPX
−1.663476308
0.001689


Peroxidasin homolog
PXDN
−1.677679698
0.055265


Ras-related protein Rab-21
RAB21
−1.743112564
0.003943


Prostaglandin F2 receptor negative regulator
PTGFRN
−1.751708984
0.012704


Syndecan-Binding Protein
SDCBP
−1.755639394
0.014768


Guanine nucleotide-binding protein G(i)
GNAI2
−1.756656011
0.005896


subunit alpha-2


Neutral amino acid transporter B(0); Amino
SLC1A5
−1.765870412
0.020879


acid transporter


Integrin alpha-4
ITGA4
−1.775570552
0.04719


Phospholipid transfer protein
PLTP
−1.777731578
0.056115


ATP-citrate synthase
ACLY
−1.790583928
0.014228


Ras-related protein Rab-35
RAB35
−1.794715881
0.036721


Chloride intracellular channel protein 4
CLIC4
−1.85754331
0.029822


14-3-3 protein beta/alpha; 14-3-3 protein
YWHAB
−1.882423401
0.02082


beta/alpha, N-terminally processed


Agrin; Agrin N-terminal 110 kDa subunit;
AGRN
−1.885240555
0.049916


Agrin C-terminal 110 kDa subunit; Agrin C-


terminal 90 kDa fragment; Agrin C-terminal


22 kDa fragment


Pentraxin-related protein PTX3
PTX3
−1.912286758
0.02723


Ras-related protein R-Ras
RRAS
−1.947348277
0.052828


GTPase NRas
NRAS
−1.951378504
0.046563


Neuropilin-1
NRP1
−1.959346135
0.000393


Catenin alpha-1
CTNNA1
−1.969868342
0.032565


Guanine nucleotide-binding protein
GNB2
−1.972418467
0.012085


G(I)/G(S)/G(T) subunit beta-2


Sodium/potassium-transporting ATPase
ATP1A1
−1.977364858
0.001579


subunit alpha-1


Syntenin-1
SDCBP
−2.013303757
0.00264


Large neutral amino acids transporter small
SLC7A5
−2.023668925
0.011874


subunit 1


Guanine nucleotide-binding protein
GNG12
−2.036747615
0.039289


G(I)/G(S)/G(O) subunit gamma-12


60S acidic ribosomal protein P0; 60S acidic
RPLP0;
−2.044466654
0.012194


ribosomal protein P0-like
RPLP0P6


Metallothionein-2; Metallothionein-1X;
MT2A; MT1X;
−2.053142548
0.028637


Metallothionein-1G
MT1G


Ubiquitin-conjugating enzyme E2 N
UBE2N
−2.066952387
0.034247


DnaJ homolog subfamily A member 2
DNAJA2
−2.071369171
0.004395


Fibulin-1
FBLN1
−2.099943161
0.001976


Programmed cell death 6-interacting protein
PDCD6IP
−2.110923131
0.000824


Catenin beta-1
CTNNB1
−2.137156169
0.015436


Integrin alpha-V; Integrin alpha-V heavy
ITGAV
−2.140857697
0.00378


chain; Integrin alpha-V light chain


Gap junction alpha-1 protein
GJA1
−2.151175181
0.034367


Annexin A5; Annexin
ANXA5
−2.200419108
0.000631


EGF-like repeat and discoidin I-like domain-
EDIL3
−2.208995183
0.019798


containing protein 3


Histone H2A type 1; Histone H2A type 1-J;
HIST1H2AG;
−2.256967545
0.040086


Histone H2A.J; Histone H2A type 1-H;
HIST1H2AJ;


Histone H2A type 1-D; Histone H2A
H2AFJ;



HIST1H2AH;



HIST1H2AD


Tetraspanin-14; Tetraspanin
TSPAN14
−2.263004303
0.009158


Fibronectin; Anastellin; UgI-Y1; UgI-Y2;
FN1
−2.296021779
0.000588


UgI-Y3


14-3-3 protein epsilon
YWHAE
−2.309729894
0.020688


MARCKS-related protein
MARCKSL1
−2.326803207
0.019604


Guanine nucleotide-binding protein
GNG5
−2.366711299
0.044132


G(I)/G(S)/G(O) subunit gamma-5


Integrin alpha-5; Integrin alpha-5 heavy
ITGA5
−2.400620778
0.017531


chain; Integrin alpha-5 light chain


Annexin A11
ANXA11
−2.425679525
0.003076


Protein S100-A16
S100A16
−2.436091105
0.007104


Ephrin type-A receptor 2
EPHA2
−2.443478902
0.013385


Protein tweety homolog 3
TTYH3
−2.480733236
3.85E−06


Brain acid soluble protein 1
BASP1
−2.483914057
0.004133


Disintegrin and metalloproteinase domain-
ADAM10
−2.48770078
0.000506


containing protein 10


Protein S100-A11; Protein S100-A11, N-
S100A11
−2.50687472
0.02623


terminally processed


Catenin delta-1
CTNND1
−2.507287343
0.000712


Transitional endoplasmic reticulum ATPase
VCP
−2.516525904
0.000121


Membrane cofactor protein
CD46
−2.527350426
0.000127


Rho-related GTP-binding protein RhoG
RHOG
−2.541114171
0.000127


Protein eva-1 homolog B
EVA1B
−2.564523697
0.000199


Voltage-dependent calcium channel subunit
CACNA2D1
−2.571592331
0.017656


alpha-2/delta-1; Voltage-dependent calcium


channel subunit alpha-2-1; Voltage-


dependent calcium channel subunit delta-1


Ribonuclease inhibitor
RNH1
−2.594710032
0.031051


Protein S100-A6; Protein S100
S100A6
−2.610746384
0.011829


Isocitrate dehydrogenase [NADP]
IDH1
−2.627195994
0.017449


cytoplasmic


UTP--glucose-1-phosphate
UGP2
−2.646575292
0.002091


uridylyltransferase


Stromal cell-derived factor 1; SDF-1-beta(3-
CXCL12
−2.656158447
0.010785


72); SDF-1-alpha(3-67)


IST1 homolog
IST1
−2.673505147
0.011028


Collagen alpha-2(I) chain
COL1A2
−2.676224391
0.031419


EH domain-containing protein 4
EHD4
−2.737970352
0.011052


Annexin A6; Annexin
ANXA6
−2.758201599
0.00036


N(G),N(G)-dimethylarginine
DDAH2
−2.759220759
0.000313


dimethylaminohydrolase 2


Dihydropyrimidinase-related protein 2
DPYSL2
−2.791438421
0.000903


Galectin-1
LGALS1
−2.815954208
0.003379


Ras-related protein Rab-2A; Ras-related
RAB2A;
−2.867925644
0.003032


protein Rab-2B
RAB2B


Matrix metalloproteinase-14
MMP14
−2.910762787
0.000205


Myeloid-associated differentiation marker
MYADM
−2.93177096
0.0057


Ras-related protein Ral-A
RALA
−2.96500206
0.000361


Tropomyosin alpha-4 chain
TPM4
−3.021409353
0.00097


Transferrin receptor protein 1; Transferrin
TFRC
−3.028935115
0.010454


receptor protein 1, serum form


Histone H4
HIST1H4A
−3.030223211
0.00877


Histone H3.1
HIST1H3A
−3.073619843
0.012832


Fibulin-1
FBLN1
−3.091328939
0.000389


Dihydropyrimidinase-related protein 3
DPYSL3
−3.097085317
0.000547


Synaptic vesicle membrane protein VAT-1
VAT1
−3.165213267
0.004332


homolog


Vimentin
VIM
−3.167142232
0.003979


Integrin beta-5
ITGB5
−3.24244372
0.005679


Versican core protein
VCAN
−3.298335393
7.23E−05


Band 4.1-like protein 2
EPB41L2
−3.298443794
0.00035


Ubiquitin carboxyl-terminal hydrolase
UCHL1
−3.346582413
0.007431


isozyme L1; Ubiquitin carboxyl-terminal


hydrolase


72 kDa type IV collagenase; PEX
MMP2
−3.526647568
0.001642


Collagen alpha-1 (I) chain
COL1A1
−3.535470327
0.013021


D-3-phosphoglycerate dehydrogenase
PHGDH
−3.591803233
0.000123


Transketolase
TKT
−3.647360484
0.000639


Ras-related protein Rap-2b
RAP2B
−3.728734334
0.001711


Fatty acid synthase; [Acyl-carrier-protein] S-
FASN
−3.753777822
0.007852


acetyltransferase; [Acyl-carrier-protein] S-


malonyltransferase; 3-oxoacyl-[acyl-carrier-


protein] synthase; 3-oxoacyl-[acyl-carrier-


protein] reductase; 3-hydroxyacyl-[acyl-


carrier-protein] dehydratase; Enoyl-[acyl-


carrier-protein] reductase; Oleoyl-[acyl-


carrier-protein] hydrolase


Nucleoside diphosphate kinase; Nucleoside
NME1-NME2;
−3.81598409
0.006383


diphosphate kinase B
NME2


Myristoylated alanine-rich C-kinase substrate
MARCKS
−3.963729858
0.025408


Biglycan
BGN
−3.976584752
0.019814


Histone H1.5
HIST1H1B
−4.113817215
0.001408


Thrombospondin-2
THBS2
−4.159285863
0.002696


Annexin A4; Annexin
ANXA4
−4.417996724
0.00184


Niban-like protein 1
FAM129B
−4.425540288
5.34E−05


Afamin
AFM
−4.510639826
0.001023


Target of Nesh-SH3
ABI3BP
−4.569406827
0.004832


Pro-low-density lipoprotein receptor-related
LRP1
−4.599747976
0.000602


protein 1; Low-density lipoprotein receptor-


related protein 1 85 kDa subunit; Low-density


lipoprotein receptor-related protein 1 515


kDa subunit; Low-density lipoprotein


receptor-related protein 1 intracellular


domain


Neuroblast differentiation-associated protein
AHNAK
−4.833908081
0.018608


AHNAK


Serpin H1
SERPINH1
−4.999172211
0.000417


Guanine nucleotide-binding protein G(k)
GNAI3
−5.091183027
0.0021


subunit alpha


Myoferlin
MYOF
−5.710025152
0.026799









TABLE 9 shows the top 10 BP GO enrichment terms of HDC EV protein cargo;












HDC













Fold


GO term
Count
P-Value
Enrichment













GO:0007155~cell adhesion
108
1.45E−36
4.080501516


GO:0002181~cytoplasmic
40
4.75E−28
9.35324833


translation


GO:0050821~protein stabilization
47
8.64E−18
4.495936413


GO:0006412~translation
43
1.34E−14
4.057967605


GO:0070527~platelet aggregation
20
4.47E−14
9.35324833


GO:0016192~vesicle-mediated
41
1.33E−12
3.70316377


transport


GO:0030335~positive regulation
43
1.73E−12
3.534870219


of cell migration


GO:0036258~multivesicular body
16
1.84E−12
10.86183677


assembly


GO:0007160~cell-matrix adhesion
27
3.62E−12
5.3103723


GO:0072659~protein localization
33
4.27E−12
4.313532227


to plasma membrane









TABLE 10 shows the top 10 BP GO enrichment terms of BM MSC protein cargo;












BM-MSC













Fold


GO term
Count
P-Value
Enrichment













GO:0002181~cytoplasmic
54
5.96E−47
12.68232711


translation


GO:0006412~translation
58
1.77E−26
5.497570796


GO:0007155~cell adhesion
82
7.10E−20
3.111761889


GO:0050821~protein stabilization
48
1.28E−18
4.611755314


GO:0016192~vesicle-mediated
48
1.44E−17
4.354447077


transport


GO:0006886~intracellular protein
51
2.06E−13
3.286578673


transport


GO:0006457~protein folding
35
3.25E−13
4.456641054


GO:0070527~platelet aggregation
19
6.01E−13
8.924600561


GO:0015031~protein transport
57
1.29E−11
2.744467143


GO:1900026~positive regulation
17
6.51E−11
8.166650035


of substrate adhesion-dependent


cell spreading









TABLE 11 shows the top 10 BP GO enrichment terms of UC MSC EV protein cargo;












UC-MSC













Fold


GO term
Count
P-Value
Enrichment













GO:0007596~blood coagulation
36
8.01E-27
10.61652


GO:0006958~complement activation,
39
3.28E-24
8.16216


classical pathway


GO:0010951~negative regulation of
41
2.22E-23
7.287745


endopeptidase activity


GO:0070527~platelet aggregation
25
1.31E-22
14.41749


GO:0007155~cell adhesion
71
1.25E-18
3.307999


GO:0006956~complement activation
17
2.86E-17
17.64701


GO:0007160~cell-matrix adhesion
29
3.35E-16
7.033579


GO:0030036~actin cytoskeleton
37
4.34E-16
5.275851


organization


GO:0007229~integrin-mediated
28
7.12E-15
6.605832


signaling pathway


GO:0042730~fibrinolysis
14
8.00E-15
19.12214









TABLE 12 shows a comparison of GO enrichment terms for BM-MSC, HDC, and UC-MSC EV protein cargo;
















Category
# of enriched Go terms
















HDC vs. BM-MSC EV










Biological process (BP)
6



Cellular component (CC)
19



Molecular function (MF)
7







BM-MSC vs. UC-MSC EV










Biological process (BP)
360



Cellular component (CC)
171



Molecular function (MF)
105







HDC vs. UC-MSC EV










Biological process (BP)
312



Cellular component (CC)
147



Molecular function (MF)
87










As used herein, the term “about” refers to an approximately +/−10% variation from a given value. It is to be understood that such a variation is always included in any given value provided herein, whether or not it is specifically referred to.


As used herein, the term “substantially” refers to an approximately +/−5% variation from a given value. If a value is not used, then substantially means almost completely, but perhaps with some variation, contamination and/or additional component. In some embodiments, “substantially” may include completely.


All references cited herein are herein incorporated by reference in their entirety.


Therefore, the present disclosure is well adapted to attain the ends and advantages mentioned as well as those that are inherent therein. The particular embodiments disclosed above are illustrative only, as the present disclosure may be modified and practiced in different but equivalent manners apparent to those skilled in the art having the benefit of the teachings herein. Although individual embodiments are discussed, the disclosure covers all combinations of all those embodiments. Furthermore, no limitations are intended to the details of construction or design herein shown, other than as described in the claims below. Also, the terms in the claims have their plain, ordinary meaning unless otherwise explicitly and clearly defined by the patentee. It is therefore evident that the particular illustrative embodiments disclosed above may be altered or modified and all such variations are considered within the scope and spirit of the present disclosure. If there is any conflict in the usages of a word or term in this specification and one or more patent(s) or other documents that may be incorporated herein by reference, the definitions that are consistent with this specification should be adopted.


One or more illustrative embodiments have been described by way of example. It will be understood to persons skilled in the art that a number of variations and modifications may be made without departing from the scope of the invention as defined in the claims.


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Claims
  • 1.-163. (canceled)
  • 164. A composition comprising extracellular vesicles isolated from human heart cells, the vesicles comprising a polydisperse population of particles with a diameter ranging from about 10 to about 500 nm and comprising miR-199, miR-22-3p and miR-374a-5p.
  • 165. The composition of claim 164 wherein the vesicles comprise acetylcholinesterase activity.
  • 166. The composition of claim 164 wherein the vesicles comprise 1-1000 unique miRNA transcripts.
  • 167. The composition of claim 164 in a unit dosage of extracellular vesicles comprising 102-1020 particles per millilitre.
  • 168. The composition of claim 164 wherein said extracellular vesicles decrease inflammasome activation.
  • 169. The composition of claim 164, wherein the human heart cells are derived from myocardial tissue.
  • 170. The composition of claim 169, wherein the human heart cells are derived from an atrial appendage.
  • 171. The composition of claim 164 wherein the human heart cells are grown in-vitro.
  • 172. The composition of claim 164 comprising one or more transmembrane markers defined by CD9, CD61, CD63, CD81, FLOT1, ICAM1, EpCam, or any combination thereof.
  • 173. The composition of claim 164 comprising one or more cytosolic markers defined by ALIX, ANXA5 and TSG101, or any combination thereof.
  • 174. The composition of claim 164 substantially lacking or devoid of GM130.
  • 175. The composition of claim 164, wherein the vesicles prevent or reduce atrial inflammation.
  • 176. The composition of claim 164 for treating atrial arrhythmia, or preventing or reducing atrial inflammation.
PCT Information
Filing Document Filing Date Country Kind
PCT/CA2022/051669 11/11/2022 WO
Provisional Applications (1)
Number Date Country
63278518 Nov 2021 US