Patent Application
20200376146
The invention relates to therapeutic nanobiologic compositions and methods of treating patients who have had an organ transplant, or who suffer from atherosclerosis, arthritis, inflammatory bowel disease including Crohn's, autoimmune diseases, and/or autoinflammatory conditions, or after a cardiovascular events, including stroke and myocardial infarction, by inhibiting trained immunity, which is a secondary long-term hyper-responsiveness, as manifested by increased cytokine excretion caused by metabolic and epigenetic rewiring, to re-stimulation after a primary insult of myeloid cells and their progenitors and stem cells in the bone marrow, spleen and blood.
Current treatments for patients who suffer from autoimmune and immune system dysfunction are inadequate. Patients who have had an organ transplant, or who suffer from atherosclerosis, arthritis, inflammatory bowel disease including Crohn's, autoimmune diseases including diabetes, and/or autoinflammatory conditions, or after cardiovascular events, including stroke and myocardial infarction, are in need of a treatment paradigm that is durable, and that does not cause more problems in side effects than the primary treatment itself.
Accordingly, to address these and other deficiencies in the prior art, in a preferred embodiment of the invention, there is provided a method of treating a patient in need thereof with a therapeutic agent for inhibiting trained immunity.
Trained Immunity is defined by a secondary long-term hyper-responsiveness, as manifested by increased cytokine excretion caused by metabolic and epigenetic rewiring, to re-stimulation after a primary insult of myeloid cells and their progenitors and stem cells in the bone marrow, spleen and blood. Trained Immunity (also called innate immune memory) is also defined by a long-term increased responsiveness (e.g. high cytokine production) after re-stimulation with a secondary stimulus of myeloid innate immune cells, being induced by a primary insult stimulating these cells or their progenitors and stem cells in the bone marrow and spleen, and mediated by epigenetic, metabolic and transcriptional rewiring.
In a non-limiting preferred embodiment of the invention, there is provided a method of treating a patient affected by trained immunity to reduce in said patient an innate immune response, comprising:
administering to said patient a nanobiologic composition in an amount effective to reduce a hyper-responsive innate immune response,
wherein the nanobiologic composition comprises (i) a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) phospholipids, and,
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell,
wherein the nanoscale assembly delivers the drug to myeloid cells, myeloid progenitor cells or hematopoietic stem cells in bone marrow, blood and/or spleen of the patient,
and whereby in the patient the hyper-responsive innate immune response caused by trained immunity is reduced.
In a non-limiting preferred embodiment of the invention, there is provided a method of treating a patient affected by trained immunity to reduce in said patient an innate immune response, wherein the nanoscale assembly is a multi-component carrier composition comprising:
phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and
a hydrophobic matrix comprising one or more triglycerides, fatty acid esters, hydrophobic polymers, or sterol esters, or a combination thereof.
In another non-limiting preferred embodiment of the invention, there is provided a method of treating a patient affected by trained immunity to reduce in said patient a hyper-responsive innate immune response, wherein the nanoscale assembly is a multi-component carrier composition comprising:
phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
a hydrophobic matrix comprising one or more triglycerides, fatty acid esters, hydrophobic polymers, or sterol esters, or a combination thereof, and
cholesterol.
In a non-limiting preferred embodiment of the invention, there is provided a method of promoting allograft acceptance in a patient that is a transplant recipient, comprising:
administering to said patient a nanobiologic composition in an amount effective to induce permanent allograft acceptance,
wherein the nanobiologic composition comprises (i) a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and,
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell,
wherein the nanoscale assembly delivers the drug to myeloid cells, myeloid progenitor cells or hematopoietic stem cells in bone marrow, blood and/or spleen of the patient,
and whereby permanent allograft acceptance is induced in the transplant recipient patient.
In a non-limiting preferred embodiment of the invention, there is provided a method of promoting allograft acceptance in a patient that is a transplant recipient, wherein the nanoscale assembly is a multi-component carrier composition comprising:
a phospholipid or a mixture of phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and
a matrix lipid selected from one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters.
In a non-limiting preferred embodiment of the invention, there is provided a method of promoting allograft acceptance in a patient that is a transplant recipient, wherein the nanoscale assembly is a multi-component carrier composition comprising:
a phospholipid or a mixture of phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
a matrix lipid selected from one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and
cholesterol.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the hyper-responsive innate immune response is reduced for at least 7 to 30 days.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the hyper-responsive innate immune response is reduced for at least 30 to 100 days.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the long-term hyperresponsiveness of myeloid cells, their stem cells and progenitors as a result of trained immunity (hyper-responsive innate immune response) is reduced for at least 100 days up to several years.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the nanobiologic composition is administered once and wherein the long-term hyperresponsiveness of myeloid cells, their stem cells and progenitors as a result of trained immunity is reduced for at least 30 days.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the nanobiologic composition is administered at least once per day in each day of a multiple-dosing regimen, and wherein the long-term hyperresponsiveness of myeloid cells, their stem cells and progenitors as a result of trained immunity is reduced for at least 30 days.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein trained Immunity is defined by a secondary long-term hyper-responsiveness, as manifested by increased cytokine excretion caused by metabolic and epigenetic rewiring, to re-stimulation after a primary insult of myeloid cells and their progenitors and stem cells in the bone marrow, spleen and blood.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein trained immunity is defined by a long-term increased responsiveness from high cytokine production after re-stimulation with a secondary stimulus of myeloid innate immune cells, being induced by a primary insult stimulating these cells or their progenitors and stem cells in the bone marrow, and mediated by epigenetic, metabolic and transcriptional rewiring.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the patient affected by trained immunity is a recipient of an organ transplant, or suffers from atherosclerosis, arthritis, inflammatory bowel disease including Crohn's, an autoimmune disease including diabetes, an autoinflammatory condition, or has suffered a cardiovascular event, including stroke and myocardial infarction.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the patient is a transplant recipient, or suffers from atherosclerosis, arthritis, or inflammatory bowel disease, or has suffered a cardiovascular event.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the patient has undergone a transplant and the transplanted tissue is lung tissue, heart tissue, kidney tissue, liver tissue, retinal tissue, corneal tissue, skin tissue, pancreatic tissue, intestinal tissue, genital tissue, ovary tissue, bone tissue, tendon tissue, bone marrow, or vascular tissue.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the method is performed prior to transplant to restore cytokine production to a naive, non-hyper-responsive level and to induce a durable naive, non-hyper-responsive cytokine production level, and favorably decreases the inflammatory to immunosuppressive myeloid cell ratio to the patient for post-transplant acceptance.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the nanobiologic composition is administered in a treatment regimen comprising one or more doses to the patient to generate an accumulation of drug in myeloid cells, myeloid progenitor cells, and hematopoietic stem cells in the bone marrow, blood and/or spleen.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, wherein the inhibitor comprises: an inflammasome inhibitor, or an inhibitor of a metabolic pathway or an epigenetic pathway such as a, but not limited to NOD2 receptor inhibitor, an mTOR inhibitor, a ribosomal protein S6 kinase beta-1 (S6K1) inhibitor, an HMG-CoA reductase inhibitor (Statin), a histone H3K27 demethylase inhibitor, a BET bromodomain blockade inhibitor, an inhibitor of histone methyltransferases and acetyltransferases, an inhibitor of DNA methyltransferases and acetyltransferases, a Serine/threonine kinase Akt inhibitor, an Inhibitor of Hypoxia-inducible factor 1-alpha, also known as HIF-1-alpha, and a mixture of one or more thereof.
In a non-limiting preferred embodiment of the invention, there is provided in any one of methods herein, comprising co-treatment with an immunotherapeutic drug as a combination therapy with the nanobiologic composition.
In a non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for inhibiting trained immunity, comprising:
a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell.
In a non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for inhibiting trained immunity, wherein the nanoscale assembly is a multi-component carrier composition comprising:
a phospholipid or a mixture of phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and
a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters.
In a non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for inhibiting trained immunity, wherein the nanoscale assembly is a multi-component carrier composition comprising:
a phospholipid or a mixture of phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and
cholesterol.
In a non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for inhibiting trained immunity, wherein the inhibitor of a metabolic pathway or an epigenetic pathway comprises: a NOD2 receptor inhibitor, an mTOR inhibitor, a ribosomal protein S6 kinase beta-1 (S6K1) inhibitor, an HMG-CoA reductase inhibitor (Statin), a histone H3K27 demethylase inhibitor, a BET bromodomain blockade inhibitor, an inhibitor of histone methyltransferases and acetyltransferases, an inhibitor of DNA methyltransferases and acetyltransferases, an inflammasome inhibitor, a Serine/threonine kinase Akt inhibitor, an Inhibitor of Hypoxia-inducible factor 1-alpha, also known as HIF-1-alpha, and a mixture of one or more thereof.
In a non-limiting preferred embodiment of the invention, there is provided a process for manufacturing a nanobiologic composition for inhibiting trained immunity, comprising the step of:
incorporating an inhibitor drug into a nanoscale assembly;
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
wherein said nanobiologic, in an aqueous environment, self-assembles into a nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell.
In a non-limiting preferred embodiment of the invention, there is provided a process for manufacturing a nanobiologic composition for inhibiting trained immunity, wherein the nanoscale assembly is a multi-component carrier composition comprising:
a phospholipid or a mixture of phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and
a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters.
In a non-limiting preferred embodiment of the invention, there is provided a process for manufacturing a nanobiologic composition for inhibiting trained immunity, wherein the nanoscale assembly is a multi-component carrier composition comprising:
a phospholipid or a mixture of phospholipids,
apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and
cholesterol.
In a non-limiting preferred embodiment of the invention, there is provided a process for manufacturing, wherein the assembly is combined using microfluidics, high pressure homogenization scale-up microfluidizer technology, sonication, organic-to-aqueous infusion, or lipid film hydration.
In a non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for imaging accumulation in bone marrow, blood and spleen, comprising: a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging radioisotope incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell, and
wherein the PET imaging radioisotope is selected from 89Zr, 124I, 64Cu, 18F, and 86Y, and
wherein the PET imaging radioisotope is complexed to the nanobiologic using a suitable chelating agent to form a stable nanobiologic-radioisotope chelate.
In a further non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for imaging accumulation in bone marrow, blood and spleen, comprising:
a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging radioisotope incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and
(c) a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell, and
wherein the PET imaging radioisotope is selected from 89Zr, 1241, 64Cu, 18F, and 86Y, and
wherein the PET imaging radioisotope is complexed to the nanobiologic using a suitable chelating agent to form a stable nanobiologic-radioisotope chelate.
In a further non-limiting preferred embodiment of the invention, there is provided a nanobiologic composition for imaging accumulation in bone marrow, blood and spleen, comprising:
a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging radioisotope incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
(c) a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and
(d) cholesterol,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell, and
wherein the PET imaging radioisotope is selected from 89Zr, 124I, 64Cu, 18F, and 86Y, and
wherein the PET imaging radioisotope is complexed to the nanobiologic using a suitable chelating agent to form a stable nanobiologic-radioisotope chelate.
In a non-limiting preferred embodiment of the invention, there is provided a method of positron emission tomography (PET) imaging the accumulation of a nanobiologic within bone marrow, blood, and/or spleen, of a patient affected by trained immunity, comprising: administering to said patient a nanobiologic composition for imaging accumulation in bone marrow, blood and spleen, comprising:
a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging radioisotope incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell, and
wherein the PET imaging radioisotope is selected from 89Zr, 124I, 64Cu, 18F, and 86Y, and
wherein the PET imaging radioisotope is complexed to the nanobiologic using a suitable chelating agent to form a stable nanobiologic-radioisotope chelate, and
(2) performing PET imaging of the patient to visualize biodistribution of the stable nanobiologic-radioisotope chelate within the bone marrow, blood, and/or spleen of the patient's body.
In a further non-limiting preferred embodiment of the invention, there is provided a method of positron emission tomography (PET) imaging the accumulation of a nanobiologic within bone marrow, blood, and/or spleen, of a patient affected by trained immunity, comprising: administering to said patient a nanobiologic composition for imaging accumulation in bone marrow, blood and spleen, comprising:
a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging radioisotope incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and
(c) a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell, and
wherein the PET imaging radioisotope is selected from 89Zr, 124I, 64Cu, 18F, and 86Y, and
wherein the PET imaging radioisotope is complexed to the nanobiologic using a suitable chelating agent to form a stable nanobiologic-radioisotope chelate, and
(2) performing PET imaging of the patient to visualize biodistribution of the stable nanobiologic-radioisotope chelate within the bone marrow, blood, and/or spleen of the patient's body.
In a non-limiting preferred embodiment of the invention, there is provided a method of positron emission tomography (PET) imaging the accumulation of a nanobiologic within bone marrow, blood, and/or spleen, of a patient affected by trained immunity, comprising: administering to said patient a nanobiologic composition for imaging accumulation in bone marrow, blood and spleen, comprising:
a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging radioisotope incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids, and
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
(c) a hydrophobic matrix comprised of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and
(d) cholesterol,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell, and
wherein the PET imaging radioisotope is selected from 89Zr, 124I, 64Cu, 18F, and 86Y, and
wherein the PET imaging radioisotope is complexed to the nanobiologic using a suitable chelating agent to form a stable nanobiologic-radioisotope chelate, and
(2) performing PET imaging of the patient to visualize biodistribution of the stable nanobiologic-radioisotope chelate within the bone marrow, blood, and/or spleen of the patient's body.
For all figures, data are presented as mean±SD. *p<0.05, **p<0.01, ***p<0.001. P values were calculated using Mann-Whitney U tests (two-sided).
The invention is directed to nanobiologic composition for inhibiting trained immunity, methods of making such nanobiologics, methods of incorporating drug into said nanobiologics, pro-drug formulations combining drug with functionalized linker moieties such as phospholipids, aliphatic chains, and sterols.
Inflammation is triggered by innate immune cells as a defense mechanism against tissue injury. An ancient mechanism of immunological memory, named trained immunity, also called innate immune memory, as defined by a long-term increased responsiveness (e.g. high cytokine production) after re-stimulation with a secondary stimulus of myeloid innate immune cells, being induced by a primary insult stimulating these cells or their progenitors and stem cells in the bone marrow, blood and/or spleen, and mediated by epigenetic, metabolic and transcriptional rewiring.
Trained Immunity is defined by a secondary long-term hyper-responsiveness, as manifested by increased cytokine excretion caused by the metabolic and epigenetic rewiring, to re-stimulation after a primary insult of the myeloid cells, the myeloid progenitors, and the hematopoietic stem cells in the bone marrow, blood, and/or spleen.
The invention is directed in one preferred embodiment to a myeloid cell-specific nanoimmunotherapy, based on delivering a nanobiologic carrying or having an incorporated mTOR inhibitor rapamycin (mTORi-HDL), which prevents epigenetic and metabolic modifications underlying trained immunity. The invention relates to therapeutic nanobiologic compositions and methods of treating patients who have had an organ transplant, or who suffer from atherosclerosis, arthritis, inflammatory bowel disease including Crohn's, autoimmune diseases including diabetes, and/or autoinflammatory conditions, or after a cardiovascular events, including stroke and myocardial infarction, by inhibiting trained immunity, which is the long-term increased responsiveness, the result of metabolic and epigenetic re-wiring of myeloid cells and their stem cells and progenitors in the bone marrow and spleen and blood induced by a primary insult, and characterized by increased cytokine excretion after re-stimulation with one or multiple secondary stimuli.
The term “nanobiologic” refers to a composition for inhibiting trained immunity, comprising: a nanoscale assembly, and
(ii) an inhibitor drug incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) a phospholipid or a mixture of phospholipids,
(b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I,
and optionally including (c) a hydrophobic matrix composed of one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and
and optionally also including (d) cholesterol,
wherein said nanobiologic, in an aqueous environment, is a self-assembled nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter;
wherein said inhibitor drug is a hydrophobic drug or a prodrug of a hydrophilic drug derivatized with an attached aliphatic chain or cholesterol or phospholipid,
wherein the drug is an inhibitor of the inflammasome, a metabolic pathway or an epigenetic pathway within a hematopoietic stem cell (HSC), a common myeloid progenitor (CMP), or a myeloid cell.
For proof of concept, an inhibitor of mTOR incorporated into HDL (mTORi-HDL), or an inhibitor of S6K1 incorporated into HDL (S6K1i-HDL), functioned as a nanobiologic for generation of data herein.
The term “nanoscale assembly” (NA) refers to a multi-component carrier composition for carrying the active payload, e.g., drug.
In one preferred embodiment, the nanoscale assembly comprises a multi-component carrier composition for carrying the active payload having the subcomponents: (a) phospholipids, and (b) apolipoprotein A-I(apoA-I) or a peptide mimetic of apoA-I.
In another preferred embodiment, the “nanoscale assembly” (NA) refers to a multi-component carrier composition for carrying the trained immunity-inhibiting active payload, e.g. drug, having the subcomponents: (a) phospholipids, (b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, and (c) a hydrophobic matrix comprising one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters.
In another preferred embodiment, the “nanoscale assembly” (NA) refers to a multi-component carrier composition for carrying the trained immunity-inhibiting active payload, e.g. drug, having the subcomponents: (a) phospholipids, (b) apolipoprotein A-I (apoA-I) or a peptide mimetic of apoA-I, (c) a hydrophobic matrix comprising one or more triglycerides, fatty acid esters, hydrophobic polymers, and sterol esters, and (d) cholesterol.
The term “phospholipid” refers to an amphiphilic compound that consists of two hydrophobic fatty acid “tails” and a hydrophilic “head” consisting of a phosphate group.
The two components are joined together by a glycerol molecule. The phosphate groups can be modified with simple organic molecules such as choline, ethanolamine or serine. Choline refers to an essential, bioactive nutrient having the chemical formula R—(CH2)2—N—(CH2)4. When a phospho-moiety is R— it is called phosphocholine.
Examples of suitable phospholipids include, without limitation, phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositol, phosphatidylserines, sphingomyelin or other ceramides, as well as phospholipid-containing oils such as lecithin oils. Combinations of phospholipids, or mixtures of a phospholipid(s) and other substance(s), may be used.
Non-limiting examples of the phospholipids that may be used in the present composition include phosphatidylcholines (PC), phosphatidylglycerols (PG), phosphatidylserines (PS), phosphatidylethanolamines (PE), and phosphatidic acid/esters (PA), and lysophosphatidylcholines.
Specific examples include: DDPC CAS-3436-44-0 1,2-Didecanoyl-sn-glycero-3-phosphocholine, DEPA-NA CAS-80724-31-8 1,2-Dierucoyl-sn-glycero-3-phosphate (Sodium Salt), DEPC CAS-56649-39-9 1,2-Dierucoyl-sn-glycero-3-phosphocholine, DEPE CAS-988-07-2 1,2-Dierucoyl-sn-glycero-3-phosphoethanolamine, DEPG-NA 1,2-Dierucoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Sodium Salt), DLOPC CAS-998-06-1 1,2-Dilinoleoyl-sn-glycero-3-phosphocholine, DLPA-NA 1,2-Dilauroyl-sn-glycero-3-phosphate (Sodium Salt), DLPC CAS-18194-25-7 1,2-Dilauroyl-sn-glycero-3-phosphocholine, DLPE 1,2-Dilauroyl-sn-glycero-3-phosphoethanolamine, DLPG-NA 1,2-Dilauroyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Sodium Salt), DLPG-NH4 1,2-Dilauroyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Ammonium Salt), DLPS-NA 1,2-Dilauroyl-sn-glycero-3-phosphoserine (Sodium Salt), DMPA-NA CAS-80724-3 1,2-Dimyristoyl-sn-glycero-3-phosphate (Sodium Salt), DMPC CAS-18194-24-6 1,2-Dimyristoyl-sn-glycero-3-phosphocholine, DMPE CAS-988-07-2 1,2-Dimyristoyl-sn-glycero-3-phosphoethanolamine, DMPG-NA CAS-67232-80-8 1,2-Dimyristoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Sodium Salt), DMPG-NH4 1,2-Dimyristoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Ammonium Salt), DMPG-NH4/NA 1,2-Dimyristoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Sodium/Ammonium Salt), DMPS-NA 1,2-Dimyristoyl-sn-glycero-3-phosphoserine (Sodium Salt), DOPA-NA 1,2-Dioleoyl-sn-glycero-3-phosphate (Sodium Salt), DOPC CAS-4235-95-4 1,2-Dioleoyl-sn-glycero-3-phosphocholine, DOPE CAS-4004-5-1 1,2-Dioleoyl-sn-glycero-3-phosphoethanolamine, DOPG-NA CAS-62700-69-0 1,2-Dioleoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . )(Sodium Salt), DOPS-NA CAS-70614-14-1 1,2-Dioleoyl-sn-glycero-3-phosphoserine (Sodium Salt), DPPA-NA CAS-71065-87-7 1,2-Dipalmitoyl-sn-glycero-3-phosphate (Sodium Salt), DPPC CAS-63-89-8 1,2-Dipalmitoyl-sn-glycero-3-phosphocholine, DPPE CAS-923-61-5 1,2-Dipalmitoyl-sn-glycero-3-phosphoethanolamine, DPPG-NA CAS-67232-81-9 1,2-Dipalmitoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Sodium Salt), DPPG-NH4 CAS-73548-70-6 1,2-Dipalmitoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Ammonium Salt), DPPS-NA 1,2-Dipalmitoyl-sn-glycero-3-phosphoserine (Sodium Salt), DSPA-NA CAS-108321-18-2 1,2-Distearoyl-sn-glycero-3-phosphate (Sodium Salt), DSPC CAS-816-94-4 1,2-Distearoyl-sn-glycero-3-phosphocholine, DSPE CAS-1069-79-0 1,2-Distearoyl-sn-glycero-3-phosphoethanolamine, DSPG-NA CAS-67232-82-0 1,2-Distearoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Sodium Salt), DSPG-NH4 CAS-108347-80-4 1,2-Distearoyl-sn-glycero-3[Phospho-rac-(1-glycerol . . . ) (Ammonium Salt), DSPS-NA 1,2-Distearoyl-sn-glycero-3-phosphoserine (Sodium Salt), EPC Egg-PC, HEPC Hydrogenated Egg PC, HSPC Hydrogenated Soy PC, LYSOPC MYRISTIC CAS-18194-24-6 1-Myristoyl-sn-glycero-3-phosphocholine, LYSOPC PALMITIC CAS-17364-16-8 1-Palmitoyl-sn-glycero-3-phosphocholine, LYSOPC STEARIC CAS-19420-57-6 1-Stearoyl-sn-glycero-3-phosphocholine, Milk Sphingomyelin, MPPC 1-Myristoyl-2-palmitoyl-sn-glycero 3-phosphocholine, MSPC 1-Myristoyl-2-stearoyl-sn-glycero-3-phosphocholine, PMPC 1-Palmitoyl-2-myristoyl-sn-glycero-3-phosphocholine, POPC CAS-26853-31-6 1-Palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine, POPE 1-Palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine, POPG-NA CAS-81490-05-3 1-Palmitoyl-2-oleoyl-sn-glycero-3[Phospho-rac-(1-glycerol) . . . ] (Sodium Salt), PSPC 1-Palmitoyl-2-stearoyl-sn-glycero-3-phosphocholine, SMPC 1-Stearoyl-2-myristoyl-sn-glycero-3-phosphocholine, SOPC 1-Stearoyl-2-oleoyl-sn-glycero-3-phosphocholine, SPPC 1-Stearoyl-2-palmitoyl-sn-glycero-3-phosphocholine In some preferred embodiments, specific non-limiting examples of phospholipids include: dimyristoylphosphatidylcholine (DMPC), soy lecithin, dipalmitoylphosphatidylcholine (DPPC), distearoylphosphatidylcholine (DSPC), diaurylolyphosphatidylcholine (DLPC), dioleoylphosphatidylcholine (DOPC), dilaurylolylphosphatidylglycerol (DLPG), dimyristoylphosphatidylglycerol (DMPG), dipalmitoylphosphatidylglycerol (DPPG), distearoylphosphatidylglycerol (DSPG), dioleoylphosphatidylglycerol (DOPG), dimyristoyl phosphatidic acid (DMPA), dimyristoyl phosphatidic acid (DMPA), dipalmitoyl phosphatidic acid (DPPA), dipalmitoyl phosphatidic acid (DPPA), dimyristoyl phosphatidylethanolamine (DMPE), dipalmitoyl phosphatidylethanolamine (DPPE), dimyristoyl phosphatidylserine (DMPS), dipalmitoyl phosphatidylserine (DPPS), dipalmitoyl sphingomyelin (DPSP), distearoyl sphingomyelin (DSSP), and mixtures thereof.
In certain embodiments, when the present composition comprises (consists essentially of, or consists of) two or more types of phospholipids, the weight ratio of two types of phospholipids may range from about 1:10 to about 10:1, from about 2:1 to about 4:1, from about 1:1 to about 5:1, from about 2:1 to about 5:1, from about 6:1 to about 10:1, from about 7:1 to about 10:1, from about 8:1 to about 10:1, from about 7:1 to about 9:1, or from about 8:1 to about 9:1. For example, the weight ratio of two types of phospholipids may be about 1:10, about 1:9, about 1:8, about 1:7, about 1:6, about 1:5, about 1:4, about 1:3, about 1:2, about 1:1, about 2:1, about 3:1, about 4:1, about 5:1, about 6:1, about 7:1, about 8:1, about 9:1, or about 10:1.
In one embodiment, the (a) phospholipids of the present nanoscale assembly comprise (consists essentially of, or consists of) a mixture of a two-chain diacyl-phospholipid and a single chain acyl-phospholipid/lysolipid.
In one embodiment, the (a) phospholipids is a mixture of phospholipid and lysolipid is (DMPC), and (MHPC).
The weight ratio of DMPC to MHPC may range from about 1:10 to about 10:1, from about 2:1 to about 4:1, from about 1:1 to about 5:1, from about 2:1 to about 5:1, from about 6:1 to about 10:1, from about 7:1 to about 10:1, from about 8:1 to about 10:1, from about 7:1 to about 9:1, or from about 8:1 to about 9:1. The weight ratio of DMPC to MHPC may be about 1:10, about 1:9, about 1:8, about 1:7, about 1:6, about 1:5, about 1:4, about 1:3, about 1:2, about 1:1, about 2:1, about 3:1, about 4:1, about 5:1, about 6:1, about 7:1, about 8:1, about 9:1, or about 10:1.
In one embodiment, the (a) phospholipids is a mixture of phospholipid and lysolipid is (POPC) and (PHPC).
The weight ratio of POPC to PHPC may range from about 1:10 to about 10:1, from about 2:1 to about 4:1, from about 1:1 to about 5:1, from about 2:1 to about 5:1, from about 6:1 to about 10:1, from about 7:1 to about 10:1, from about 8:1 to about 10:1, from about 7:1 to about 9:1, or from about 8:1 to about 9:1. The weight ratio of DMPC to MHPC may be about 1:10, about 1:9, about 1:8, about 1:7, about 1:6, about 1:5, about 1:4, about 1:3, about 1:2, about 1:1, about 2:1, about 3:1, about 4:1, about 5:1, about 6:1, about 7:1, about 8:1, about 9:1, or about 10:1.
It is noted that all phospholipids ranging in chain length from C4 to C30, saturated or unsaturated, cis or trans, unsubstituted or substituted with 1-6 side chains, and with or without the addition of lysolipids are contemplated for use in the nanoscale assembly or nanoparticles/nanobiologics described herein.
Additionally, other synthetic variants and variants with other phospholipid headgroups are also contemplated.
The term “lysolipids” as used herein, include (acyl-, single chain) such as in non-limiting embodiments 1-myristoyl-2-hydroxy-sn-glycero-3-phosphocholine (MHPC), 1-Palmitoyl-2-hexadecyl-sn-glycero-3-phosphocholine (PHPC) and 1-stearoyl-2-hydroxy-sn-glycero-3-phosphocholine (SHPC).
The term “apolipoprotein A-I” or “apoA-I”, and also “apoliprotein A1” or “apoA1”, refers to a protein that is encoded by the APOA1 gene in humans, and as used herein also includes peptide mimetics of apoA-I. Apolipoprotein A1 (apoA-I) is subcomponent (b) in the nanoscale assembly.
The term“hydrophobic matrix” refers to a core or filler or structural modifier of the nanobiologic. Structural modifications include (1) using the hydrophobic matrix to increase or design the particle size of a nanoscale assembly made from only (a) phospholipids and (b) apoA-I, (2) increasing or decreasing (designing) the size and/or shape of the nanoscale assembly particles, (3) increasing or decreasing (designing) the hydrophobic core of nanoscale assembly particles, (4) increasing or decreasing (designing) the nanobiologic's capacity to incorporate hydrophobic drugs, and/or miscibility, and (5) increasing or decreasing the biodistribution characteristics of the nanoscale assembly particles. Nanoscale assembly particle size, rigidity, viscosity, and/or biodistribution, can be moderated by the quantity and type of hydrophobic molecule added. In a non-limiting example, a nanoscale assembly made from only (a) phospholipids and (b) apoA-I may have a diameter of 10 nm-50 nm. Adding (c) a hydrophobic matrix molecule such as triglycerides, swells the nanoscale assembly from a minimum of 10 nm to at least 30 nm. Adding more triglycerides can increase the diameter of the nanoscale assembly to at least 50 nm, at least 75 nm, at least 100 nm, at least 150 nm, at least 200 nm, at least 300 nm, and up to 400 nm within the scope of the invention.
Production methods can prepare uniform size nanoscale assembly particles, or a non-uniform sized mixture of nanoscale assembly particles, either by not filtering, or by preparing a range of different sized nanoscale assembly particles and re-combining them in a post-production step. The larger the size of the nanoscale assembly particles, the more drug can be incorporated. However, larger sizes e.g. >120 nm, can limit, prevent or slow diffusion of the nanoscale assembly particles into the tissues of the patient being treated. Smaller nanoscale assembly particles do not hold as much drug per particle, but are able to access the bone marrow, blood, or spleen, or other localized tissue affected by trained immunity, e.g. transplant and surrounding tissues, atherosclerotic plaque, and so forth (biodistribution). Using a non-uniform mixture of nanoparticles sizes in a single administration or regimen can produce an immediate reduction in innate immune hyper-responsiveness, and simultaneously produce a durable, long-term reduction in innate immune hyper-responsiveness that can last days, weeks, months, and years, wherein the nanobiologic has reversed, modified, or re-regulated the metabolic, epigenetic, and inflammasome pathways of the hematopoietic stem cells (HSC), the common myeloid progenitors (CMP), and the myeloid cells such as monocytes, macrophages and other short-lived circulating cells.
Adding other (c) hydrophobic matrix molecules, such as cholesterol, fatty acid esters, hydrophobic polymers, sterol esters, and different types of triglycerides, or specific mixtures thereof, can further design the nanoscale assembly particles to emphasize specific desired characteristics for specific purposes. Size, rigidity, and viscosity can affect loading and biodistribution.
By way of non-limiting example, maximum loading capacity can be determined dividing the volume of the interior of the nanoscale assembly particle by the volume of a drug-load spheroid.
Particle: assume a 100 nm spherical particle having 2.2 nm-3.0 nm phospholipid wall, yielding a 94 nm diameter interior with Volume (L) @ 4/3π(r)3.
Drug: assume sirolimus (Rapamycin) at 12×12×35 Angstrom or as a cylinder 1.2×1.2×3.5 nm, where multiple drug molecule cylinders, e.g. seven or nine, etc., or multiple drug+hydrophobic matrix carrier such as a triglyeride, could assume a 3.5 nm diameter spheroid having a radius of 1.75 nm Vol(small) @ 4/3π(r)3.
Maximum Loading Capacity (calc): ˜19,372 3.5 nm spheroids within a 100 nm particle.
Biologically relevant lipids include fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids, saccharolipids, and polyketides. A complete list of over 42,000 lipids can be obtained at https://www.lipidmaps.org.
“Triglyceride” and like terms mean an ester derived from glycerol and three fatty acids. The notation used in this specification to describe a triglyceride is the same as that used below to describe a fatty acid. The triglyceride can comprise glycerol with any combination of the following fatty acids: C18:1, C14:1, C16:1, polyunsaturated, and saturated. Fatty acids can attach to the glycerol molecule in any order, e.g., any fatty acid can react with any of the hydroxyl groups of the glycerol molecule for forming an ester linkage. Triglyceride of C18:1 fatty acid simply means that the fatty acid components of the triglyceride are derived from or based upon a C18:1 fatty acid. That is, a C18:1 triglyceride is an ester of glycerol and three fatty acids of 18 carbon atoms each with each fatty acid having one double bond. Similarly, a C14:1 triglyceride is an ester of glycerol and three fatty acids of 14 carbon atoms each with each fatty acid having one double bond. Likewise, a C16:1 triglyceride is an ester of glycerol and three fatty acids of 16 carbon atoms each with each fatty acid having one double bond. Triglycerides of C18:1 fatty acids in combination with C14:1 and/or C16:1 fatty acids means that: (a) a C18:1 triglyceride is mixed with a C14:1 triglyceride or a C16:1 triglyceride or both; or (b) at least one of the fatty acid components of the triglyceride is derived from or based upon a C18:1 fatty acid, while the other two are derived from or based upon C14:1 fatty acid and/or C16:1 fatty acid.
“Fatty acid” and like terms mean a carboxylic acid with a long aliphatic tail that is either saturated or unsaturated. Fatty acids may be esterified to phospholipids and triglycerides. As used herein, the fatty acid chain length includes from C4 to C30, saturated or unsaturated, cis or trans, unsubstituted or substituted with 1-6 side chains. Unsaturated fatty acids have one or more double bonds between carbon atoms. Saturated fatty acids do not contain any double bonds. The notation used in this specification for describing a fatty acid includes the capital letter “C” for carbon atom, followed by a number describing the number of carbon atoms in the fatty acid, followed by a colon and another number for the number of double bonds in the fatty acid. For example, C16:1 denotes a fatty acid of 16 carbon atoms with one double bond, e.g., palmitoleic acid. The number after the colon in this notation neither designates the placement of the double bond(s) in the fatty acid nor whether the hydrogen atoms bonded to the carbon atoms of the double bond are cis to one another. Other examples of this notation include C18:0 (stearic acid), C18:1 (oleic acid), C18:2 (linoleic acid), C18:3 (a-linolenic acid) and C20:4 (arachidonic acid).
The term “Sterols” such as, but not limited to cholesterol, can also be utilized in the methods and compounds described herein. Sterols are animal or vegetable steroids which only contain a hydroxyl group but no other functional groups at C-3. In general, sterols contain 27 to 30 carbon atoms and one double bond in the 5/6 position and occasionally in the 7/8, 8/9 or other positions. Besides these unsaturated species, other sterols are the saturated compounds obtainable by hydrogenation. One example of a suitable animal sterol is cholesterol. Typical examples of suitable phytosterols, which are preferred from the applicational point of view, are ergosterols, campesterols, stigmasterols, brassicasterols and, preferably, sitosterols or sitostanols and, more particularly, β-sitosterols or β-sitostanols. Besides the phytosterols mentioned, their esters are preferably used. The acid component of the ester may go back to carboxylic acids corresponding to formula (I):
RiCO—OH (I)
in which RICO is an aliphatic, linear or branched acyl group containing 2 to 30 carbon atoms and 0 and/or 1, 2 or 3 double bonds. Typical examples are acetic acid, propionic acid, butyric acid, valeric acid, caproic acid, caprylic acid, 2-ethyl hexanoic acid, capric acid, lauric acid, isotridecanoic acid, myristic acid, palmitic acid, palmitoleic acid, stearic acid, isostearic acid, oleic acid, elaidic acid, petroselic acid, linoleic acid, conjugated linoleic acid (CLA), linolenic acid, elaeosteric add, arachic acid, gadoleic acid, behenic acid and erucic acid.
The hydrophobic polymer or polymers used to make up the matrix may be selected from the group of polymers approved for human use (i.e. biocompatible and FDA-approved). Such polymers comprise, for example, but are not limited to the following polymers, derivatives of such polymers, co-polymers, block co-polymers, branched polymers, and polymer blends: polyalkenedicarboxlates, polyanhydrides, poly(aspartic acid), polyamides, polybutylenesuccinates (PBS), polybutylenesuccinates-co-adipate (PBSA), poly(ε-caprolactone) (PCL), polycarbonates including poly-alkylene carbonates (PC), polyesters including aliphatic polyesters and polyester-amides, polyethylenesuccinates (PES), polyglycolides (PGA), polyimines and polyalkyleneimines (PI, PAI), polylactides (PLA, PLLA, PDLLA), polylactic-co-glycolic acid (PLGA), poly(l-lysine), polymethacrylates, polypeptides, polyorthoesters, poly-p-dioxanones (PPDO), (hydrophobic) modified-polysaccharides, polysiloxanes and poly-alkyl-siloxanes, polyureas, polyurethanes, and polyvinyl alcohols.
As used herein and unless otherwise indicated, the terms “biohydrolyzable amide,” “biohydrolyzable ester,” “biohydrolyzable carbamate,” “biohydrolyzable carbonate,” “biohydrolyzable ureide,” “biohydrolyzable phosphate” mean an amide, ester, carbamate, carbonate, ureide, or phosphate, respectively, of a compound that either: 1) does not interfere with the biological activity of the compound but can confer upon that compound advantageous properties in vivo, such as uptake, duration of action, or onset of action; or 2) is biologically inactive but is converted in vivo to the biologically active compound. Examples of biohydrolyzable esters include, but are not limited to, lower alkyl esters, lower acyloxyalkyl esters (such as acetoxylmethyl, acetoxyethyl, aminocarbonyloxymethyl, pivaloyloxymethyl, and pivaloyloxyethyl esters), lactonyl esters (such as phthalidyl and thiophthalidyl esters), lower alkoxyacyloxyalkyl esters (such as methoxycarbonyl-oxymethyl, ethoxycarbonyloxyethyl and isopropoxycarbonyloxyethyl esters), alkoxyalkyl esters, choline esters, and acylamino alkyl esters (such as acetamidomethyl esters). Examples of biohydrolyzable amides include, but are not limited to, lower alkyl amides, α-amino acid amides, alkoxyacyl amides, and alkylaminoalkylcarbonyl amides. Examples of biohydrolyzable carbamates include, but are not limited to, lower alkylamines, substituted ethylenediamines, amino acids, hydroxyalkylamines, heterocyclic and heteroaromatic amines, and polyether amines.
Methods are described below, and there are variations relating to these methods.
The phospholipids, (pro-)drug and optional triglycerides or polymer are dissolved (typically in chloroform, ethanol or acetonitrile). This solution is then evaporated under vacuum to form a film of the components. Subsequently, a buffer solution is added to hydrate the film and generate a vesicle suspension.
The phospholipids, (pro-)drug and optional triglycerides or polymer are dissolved (typically in chloroform, ethanol or acetonitrile). This solution is infused—or added drop-wise—to a mildly heated buffer solution under stirring, until complete evaporation of the organic solvents, generating a vesicle suspension.
To the vesicle suspension, generated using A or B, apolipoprotein A-I(apoA-I) (note that apoA-I can also already be in B)—use dropwise to avoid denature, is added and the resulting mixture is sonicated for 30 minutes using a tip sonicator while being thoroughly cooled using an external ice-water bath. The obtained solution containing the nanobiologics and other by products is transferred to a Sartorius Vivaspin tube with a molecular weight cut-off depending on the estimated size of the nanobiologics (typically Vivaspin tubes with cut-offs of 10.000-100.000 kDa are used). The tubes are centrifuged until ˜90% of the solvent volume has passed through the filter. Subsequently, a volume of buffer, roughly equal to the volume of the remaining solution, is added and the tubes are spun again until roughly half the volume has passed through the filter. This is repeated twice after which the remaining solution is passed through a polyethersulfone 0.22 m syringe filter, resulting in the final nanobiologic solution.
In an alternative approach, the phospholipids, (pro-)drug and optional triglycerides, cholesterol, steryl esters, or polymer are dissolved (typically in ethanol or acetonitrile) and loaded into a syringe. Additionally, a solution of apolipoprotein A-I (apoA-I) in phosphate buffered saline is loaded into a second syringe. Using microfluidies pumps, the content of both syringes is mixed using a microvortex platform. The obtained solution containing the nanobiologics and other by products is transferred to a Sartorius Vivaspin tube with a molecular weight cut-off depending on the estimate size of the particles (typically Vivaspin tubes with cut-offs of 10.000-100.000 kDa are used). The tubes are centrifuged until ˜90% of the solvent volume has passed through the filter. Subsequently, a volume of phosphate buffered saline roughly equal to the volume of the remaining solution is added and the tubes are spun again until roughly half the volume has passed through the filter. This is repeated twice after which the remaining solution is passed through a polyethersulfone 0.22 m syringe filter, resulting in the final nanobiologic solution.
In another preferred method according to the invention, microfluidizer technology is used to prepare the nanoscale assembly and the final nanobiologic composition.
Microfluidizers are devices for preparing small particle size materials operating on the submerged jet principle. In operating a microfluidizer to obtain nanoparticulates, a premix flow is forced by a high pressure pump through a so-called interaction chamber consisting of a system of channels in a ceramic block which split the premix into two streams. Precisely controlled shear, turbulent and cavitational forces are generated within the interaction chamber during microfluidization. The two streams are recombined at high velocity to produce shear. The so-obtained product can be recycled into the microfluidizer to obtain smaller and smaller particles.
Advantages of microfluidization over conventional milling processes include substantial reduction of contamination of the final product, and the ease of production scaleup.
Formation of Nanoscale Assembly and Rapamycin Nanobiologic
This example demonstrates the preparation of a pharmaceutical composition comprising rapamycin and the nanoscale assembly in which the rapamycin concentration is 4-8 mg/mL in the nanoscale assembly/emulsion and the formulation is made on a 1 L scale.
Rapamycin (7200 mg) is dissolved in 36 mL of chloroform/t-butanol. The solution is then added into 900 mL of a nanoscale assembly solution (3% w/v) including a mixture of POPC/PHPC phospholipids, apoA-I, tricaprylin, and cholesterol. The mixture is homogenized for 5 minutes at 10,000-15,000 rpm (Vitris homogenizer model Tempest I.Q.) in order to form a crude emulsion, and then transferred into a high pressure homogenizer. The emulsification is performed at 20,000 psi while recycling the emulsion. The resulting system is transferred into a Rotavap, and the solvent is rapidly removed at 40° C. at reduced pressure (25 mm of Hg). The resulting dispersion is translucent. The dispersion is serially filtered through multiple filters. The size of the filtered formulation is 8-400 nm.
Formation of Nanoscale Assembly and Rapamycin Nanobiologic
This example demonstrates the preparation of a pharmaceutical composition comprising rapamycin and the nanoscale assembly and the formulation is made on a 5 L scale. Rapamycin is dissolved in chloroform/t-butanol. The solution is then added into a nanoscale assembly solution (1-5% w/v) including a mixture of POPC/PHPC phospholipids, a peptide mimetic of apoA-I, a mixture of C16-C20 triglycerides, a mixture of cholesterol and one or more steryl esters, and a hydrophobic polymer. The mixture is homogenized for 5 minutes at 10,000-15,000 rpm (Vitris homogenizer model Tempest I.Q.) in order to form a crude emulsion, and then transferred into a high pressure homogenizer. The emulsification is performed at 20,000 psi while recycling the emulsion. The resulting system is transferred into a Rotavap, and the solvent is rapidly removed at 40° C. at reduced pressure (25 mm of Hg). The resulting dispersion is translucent. The dispersion is serially filtered through multiple filters. The size of the filtered formulation is 35-100 nm.
The nanobiologic is formed as in either of the above examples. The dispersion is further lyophilized (FTS Systems, Dura-Dry μP, Stone Ridge, N.Y.) for 60 hours. The resulting lyophilization cake is easily reconstitutable to the original dispersion by the addition of sterile water or 0.9% (w/v) sterile saline. The particle size after reconstitution is the same as before lyophilization.
As used herein and unless otherwise indicated, the term “prodrug” means a derivative of a compound that can hydrolyze, oxidize, or otherwise react under biological conditions (in vitro or in vivo) to provide the compound. Examples of prodrugs include, but are not limited to, derivatives of nanobiologic composition of the invention that comprise biohydrolyzable moieties such as biohydrolyzable amides, biohydrolyzable esters, biohydrolyzable ethers, biohydrolyzable carbamates, biohydrolyzable carbonates, biohydrolyzable ureides, and biohydrolyzable phosphate analogues. Other examples of prodrugs include non-biohydrolyzable moieties that nonetheless provide the stability and functionality. Other examples of prodrugs include derivatives of nanobiologic composition of the invention that comprise —NO, —NO2, —ONO, or —ONO2 moieties. Prodrugs can typically be prepared using well-known methods, such as those described in 1 Burger's Medicinal Chemistry and Drug Discovery, 172-178, 949-982 (Manfred E. Wolff ed., 5th ed. 1995), and Design of Prodrugs (H. Bundgaard ed., Elselvier, N.Y. 1985).
Increasing a drug's compatibility with nanobiologics can be achieved using the strategy described below. A drug is covalently coupled to a hydrophobic moiety, such as cholesterol. If required, a prodrug approach can be achieved via a labile conjugation, resulting in e.g., an enzymatically cleavable prodrug.
Subsequently, the derivatized drug is incorporated into lipid based nanobiologics used for in vivo drug delivery. The main goal of the drug derivatization is to form a drug-conjugate with a higher hydrophobicity as compared to the parent drug. As a result, the retention of the drug-conjugate inside the nanobiologic is enhanced compared to that of the parent drug, thereby resulting in reduced leakage and improved delivery to the target tissue. In case of the prodrug strategy, different type of hydrophobic moieties might give rise to different in vivo cleavage rates, thereby influencing the rate with which the active drug is generated, and thus the overall therapeutic effect of the nanobiologic-drug construct.
Amongst others, lipids, sterols, polymers and aliphatic side-chains can be used as hydrophobic moieties. An optimized derivatization of the mTORi HDL nanobiologic with carbon chains to increase hydrophobicity has been synthesized according to these methods. Additionally, in additional embodiments, the inclusion of triglycerides in HDL create a larger and more miscible hydrophobic core for loading of the active agent, such as the mTOR inhibitor.
Combination with Second Active Agents
Nanobiologic composition can be combined with other pharmacologically active compounds (“second active agents”) in methods and compositions of the invention. It is believed that certain combinations work synergistically in the treatment of particular types of transplantation, atherosclerosis, arthritis, inflammatory bowel disease, and certain diseases and conditions associated with, or characterized by, undesired autoimmune activity. Nanobiologic composition can also work to alleviate adverse effects associated with certain second active agents, and some second active agents can be used to alleviate adverse effects associated with nanobiologic composition.
Small molecule drugs that can be used in combination therapy with the nanobiologics of the present invention include prednisone, prednisolone, methylprednisolone, dezmethasone, betamethasone, acetylsalicylic acid, phenylbutazone, indomethacin, diflunisal, sulfasalazine, acetaminophen, mefenamic acid, meclofenamate, flufenamic acid, ibuprofen, naproxen, fenoprofen, ketoprofen, flurbiprofen, oxaprozin, piroxicam, tenoxicam, saicylate, nimesulide, celecoxib, rofecoxib, valdecoxib, lumiracoxib, parecoxib, etoricoxib, methotrexate, leflunomide, sulfasalazine, azathioprine, cyclophosphamide, antimalarials hydroxychloroquine and chloroquine, d-penicillamine, and cyclosporine.
Dosing will generally be in the range of 5 g to 100 mg/kg body weight of recipient (mammal) per day and more usually in the range of 5 g to 10 mg/kg body weight per day. This amount may be given in a single dose per day or more usually in a number (such as two, three, four, five or six) of sub-doses per day such that the total daily dose is the same. An effective amount of a salt or solvate, thereof, may be determined as a proportion of the effective amount of the compound of a nanobiologic which comprises an inhibitor, wherein the inhibitor or a pharmaceutically acceptable salt, solvate, poly-morph, tautomer or prodrug thereof, formulated as nanobiologic using the nanoscale assembly (IMPEPi-NA).
In another preferred embodiment, the inhibitor may include, an mTOR inhibitor (mTORi-NA), a S6K1 inhibitor (S6K1i-NA), Diethyl malonate (DMM), 3BP, 2-DG (DMM-NA) (generally glycolysis inhibiting-Gly-NA), or Camptothecin (Hif-1a), or Tacrolimus+Nanoscale Assembly.
Compounds of the present invention for inhibiting trained immunity, and their salts and solvates, and physiologically functional derivatives thereof, may be employed alone or in combination with other therapeutic agents for the treatment of diseases and conditions. Combination therapy of the nanobiologic with a secondary therapeutic agent may include co-administration with a known immunosuppressant compound. Exemplary immunosuppressants include, but are not limited to, statins; mTOR inhibitors, such as rapamycin or a rapamycin analog; TGF-beta. signaling agents; TGF-beta. receptor agonists; histone deacetylase (HDAC) inhibitors; corticosteroids; inhibitors of mitochondrial function, such as rotenone; P38 inhibitors; NF-kappa beta. inhibitors; adenosine receptor agonists; prostaglandin E2 agonists; phosphodiesterase inhibitors, such as phosphodiesterase 4 inhibitor; proteasome inhibitors; kinase inhibitors; G-protein coupled receptor agonists; G-protein coupled receptor antagonists; glucocorticoids; retinoids; cytokine inhibitors; cytokine receptor inhibitors; cytokine receptor activators; peroxisome proliferator-activated receptor antagonists; peroxisome proliferator-activated receptor agonists; histone deacetylase inhibitors; calcineurin inhibitors; phosphatase inhibitors and oxidized ATPs. Immunosuppressants also include IDO, vitamin D3, cyclosporine A, aryl hydrocarbon receptor inhibitors, resveratrol, azathiopurine, 6-mercaptopurine, aspirin, niflumic acid, estriol, tripolide, interleukins (e.g., IL-1, IL-10), cycosporine A, siRNAs targeting cytokines or cytokine receptors and the like. Examples of statins include atorvastatin (LIPITOR®, TORVAST®), cerivastatin, fluvastatin (LESCOL®, LESCOL® XL), lovastatin (MEVACOR®, ALTOCOR®, ALTOPREV®), mevastatin (COMPACTIN®), pitavastatin (LIVALO®, PIAVA®), rosuvastatin (PRAVACHOL®, SELEKTINE®, LIPOSTAT®), rosuvastatin (CRESTOR®), and simvastatin (ZOCOR®, LIPEX®)
A “transplantable graft” refers to a biological material, such as cells, tissues and organs (in whole or in part) that can be administered to a subject. Transplantable grafts may be autografts, allografts, or xenografts of, for example, a biological material such as an organ, tissue, skin, bone, nerves, tendon, neurons, blood vessels, fat, cornea, pluripotent cells, differentiated cells (obtained or derived in vivo or in vitro), etc. In some embodiments, a transplantable graft is formed, for example, from cartilage, bone, extracellular matrix, or collagen matrices. Transplantable grafts may also be single cells, suspensions of cells and cells in tissues and organs that can be transplanted. Transplantable cells typically have a therapeutic function, for example, a function that is lacking or diminished in a recipient subject. Some non-limiting examples of transplantable cells are islet cells, beta-cells, hepatocytes, hematopoietic stem cells, neuronal stem cells, neurons, glial cells, or myelinating cells. Transplantable cells can be cells that are unmodified, for example, cells obtained from a donor subject and usable in transplantation without any genetic or epigenetic modifications. In other embodiments, transplantable cells can be modified cells, for example, cells obtained from a subject having a genetic defect, in which the genetic defect has been corrected, or cells that are derived from reprogrammed cells, for example, differentiated cells derived from cells obtained from a subject.
“Transplantation” refers to the process of transferring (moving) a transplantable graft into a recipient subject (e.g., from a donor subject, from an in vitro source (e.g., differentiated autologous or heterologous native or induced pluripotent cells)) and/or from one bodily location to another bodily location in the same subject.
In an embodiment, the transplanted tissue is lung tissue, heart tissue, kidney tissue, liver tissue, retinal tissue, corneal tissue, skin tissue, pancreatic tissue, intestinal tissue, genital tissue, ovary tissue, bone tissue, tendon tissue, or vascular tissue.
In an embodiment, the transplanted tissue is transplanted as an intact organ.
As used herein a “recipient subject” is a subject who is to receive, or who has received, a transplanted cell, tissue or organ from another subject.
As used herein a “donor subject” is a subject from whom a cell, tissue or organ to be transplanted is removed before transplantation of that cell, tissue or organ to a recipient subject.
In an embodiment the donor subject is a primate. In a further embodiment the donor subject is a human. In an embodiment the recipient subject is a primate. In an embodiment the recipient subject is a human. In an embodiment both the donor and recipient subjects are human. Accordingly, the subject invention includes the embodiment of xenotransplantation. As used herein “rejection by an immune system” describes the event of hyperacute, acute and/or chronic response of a recipient subject's immune system recognizing a transplanted cell, tissue or organ from a donor as non-self and the consequent immune response.
The term “allogeneic” refers to any material derived from a different animal of the same species as the individual to whom the material is introduced. Two or more individuals are said to be allogeneic to one another when the genes at one or more loci are not identical.
The term “autologous” refers to any material derived from the same individual to whom it is later to be re-introduced into the same individual.
As used herein an “immunosuppressant pharmaceutical” is a pharmaceutically-acceptable drug used to suppress a recipient subject's immune response. A non-limiting example includes rapamycin.
As used herein, a “prophylactically effective” amount is an amount of a substance effective to prevent or to delay the onset of a given pathological condition in a subject to which the substance is to be administered. A prophylactically effective amount refers to an amount effective, at dosages and for periods of time necessary, to achieve the desired prophylactic result. Typically, since a prophylactic dose is used in subjects prior to or at an earlier stage of disease, the prophylactically effective amount will be less than the therapeutically effective amount.
As used herein, a “therapeutically effective” amount is an amount of a substance effective to treat, ameliorate or lessen a symptom or cause of a given pathological condition in a subject suffering therefrom to which the substance is to be administered.
In one embodiment, the therapeutically or prophylactically effective amount is from about 1 mg of agent/kg subject to about 1 g of agent/kg subject per dosing. In another embodiment, the therapeutically or prophylactically effective amount is from about 10 mg of agent/kg subject to 500 mg of agent/subject. In a further embodiment, the therapeutically or prophylactically effective amount is from about 50 mg of agent/kg subject to 200 mg of agent/kg subject. In a further embodiment, the therapeutically or prophylactically effective amount is about 100 mg of agent/kg subject. In still a further embodiment, the therapeutically or prophylactically effective amount is selected from 50 mg of agent/kg subject, 100 mg of agent/kg subject, 150 mg of agent/kg subject, 200 mg of agent/kg subject, 250 mg of agent/kg subject, 300 mg of agent/kg subject, 400 mg of agent/kg subject and 500 mg of agent/kg subject.
Methods of this invention encompass methods of treating, preventing and/or managing various types of transplantation, atherosclerosis, arthritis, inflammatory bowel disease, and diseases and disorders associated with, or characterized by, undesired autoimmune activity.
As used herein, unless otherwise specified, the term “treating” refers to the administration of a compound of the invention or other additional active agent after the onset of symptoms of the particular disease or disorder.
The phrase “treating” or “treatment” of a state, disorder or condition includes:
preventing or delaying the appearance of clinical symptoms of the state, disorder, or condition developing in a person who may be afflicted with or predisposed to the state, disorder or condition but does not yet experience or display clinical symptoms of the state, disorder or condition; or
inhibiting the state, disorder or condition, i.e., arresting, reducing or delaying the development of the disease or a relapse thereof (in case of maintenance treatment) or at least one clinical symptom, sign, or test, thereof; or
relieving the disease, i.e., causing regression of the state, disorder or condition or at least one of its clinical or sub-clinical symptoms or signs.
As used herein, unless otherwise specified, the term “preventing” refers to the administration prior to the onset of symptoms, particularly to patients at risk of transplantation, atherosclerosis, arthritis, inflammatory bowel disease, and other diseases and disorders associated with, or characterized by, undesired autoimmune activity. The term “prevention” includes the inhibition of a symptom of the particular disease or disorder. Patients with familial history of transplantation, atherosclerosis, arthritis, inflammatory bowel disease, and diseases and disorders associated with, or characterized by, undesired autoimmune activity are preferred candidates for preventive regimens.
As used herein and unless otherwise indicated, the term “managing” encompasses preventing the recurrence of the particular disease or disorder in a patient who had suffered from it, and/or lengthening the time a patient who had suffered from the disease or disorder remains in remission.
In another embodiment, this invention encompasses a method of treating, preventing and/or managing transplantation, atherosclerosis, arthritis, inflammatory bowel disease, which comprises administering an nanoscale particle of the invention, or a pharmaceutically acceptable salt, solvate, hydrate, stereoisomer, clathrate, or prodrug thereof, in conjunction with (e.g. before, during, or after) conventional therapy including, but not limited to, surgery, immunotherapy, biological therapy, radiation therapy, or other non-drug based therapy presently used to treat, prevent or manage transplantation.
Radiolabelling for Pet Imaging of Accumulation of Drug within the Body
In a non-limiting preferred embodiment of the invention, there is provided radiopharmaceutical compositions and methods of radiopharmaceutical imaging an accumulation of a nanobiologic within bone marrow, blood, and/or spleen, of a patient affected by trained immunity, comprising:
administering to said patient a nanobiologic composition in an amount effective to promote a hyper-responsive innate immune response,
wherein the nanobiologic composition comprises (i) a nanoscale assembly, having (ii) an inhibitor drug incorporated in the nanoscale assembly, and (iii) a positron emission tomography (PET) imaging agent incorporated in the nanoscale assembly,
wherein the nanoscale assembly is a multi-component carrier composition comprising: (a) phospholipids, and, (b) apoA-I or a peptide mimetic of apoA-I, and optionally (c) a hydrophobic matrix comprising one or more triglycerides, fatty acid esters, hydrophobic polymers, or sterol esters, or a combination thereof, and optionally (d) cholesterol,
wherein the inhibitor of a metabolic pathway or an epigenetic pathway comprises: a NOD2 receptor inhibitor, an mTOR inhibitor, a ribosomal protein S6 kinase beta-1 (S6K1) inhibitor, an HMG-CoA reductase inhibitor (Statin), a histone H3K27 demethylase inhibitor, a BET bromodomain blockade inhibitor, an inhibitor of histone methyltransferases and acetyltransferases, an inhibitor of DNA methyltransferases and acetyltransferases, an inflammasome inhibitor, a Serine/threonine kinase Akt inhibitor, an Inhibitor of Hypoxia-inducible factor 1-alpha, also known as HIF-1-alpha, and a mixture of one or more thereof,
wherein the PET imaging agent is selected from 89Zr, 124I, 64Cu, 18F and 86Y, and wherein the PET imaging agent is complexed with nanobiologic using a suitable chelating agent to form a stable drug-agent chelate,
wherein said nanobiologic, in an aqueous environment, self-assembles into a nanodisc or nanosphere with size between about 8 nm and 400 nm in diameter,
wherein the nanoscale assembly delivers the stable drug-agent chelate to myeloid cells, myeloid progenitor cells or hematopoietic stem cells in bone marrow, blood and/or spleen of the patient,
and
(ii) performing PET imaging of the patient to visualize biodistribution of the stable drug-agent chelate within the bone marrow, blood, and/or spleen of the patient's body
Further, ex vivo methods may be used to quantify tissue uptake of the 89Zr labeled nanoparticles using gamma counting or autoradiography to validate the imaging results. This also provides an novel approach to autoradiography-based histology, which allows the evaluation of the nanomaterial's regional distribution within the tissue of interest by comparing the radioactivity deposition pattern—obtained by autoradiography—with histological and/or immunohistochemical stains on the same or adjacent sections.
Currently, the most commonly used methods to assess nanotherapeutics' in vivo behavior rely on fluorescent dyes. However, these techniques are not quantitative due to autofluorescence, quenching, FRET, and the high sensitivity of fluorophores to the environment (e.g., pH or solvent polarity). The integration of magnetic resonance imaging imaging agents as nanoparticle labels has been trialed, but requires high payloadz and dosing, compromising the integrity of nanoparticle formulations. Nuclear imaging agents do not have these shortcomings, with Zr being especially suited due to its emission of positrons necessary for PET imaging, as well as its relatively long physical half-life (78.4 hours), which allows for longitudinal studies of slow-clearing substances and eliminates the need for a nearby cyclotron.
Our approach provides an excellent way to functionalize nanobiologics using 89Zr. DSPE-DFO represents a stable way to anchor the DFO chelator into lipid mono- or bilayers. In addition, as DFO is present on the outside of the nanoparticle platform, the nanoparticles can be labeled after they are formulated. This eliminates the need to perform their formulation under radio-shielded conditions, and reduces the amount of activity that needs to be employed. Lastly, the mild conditions with which DSPE-DFO is incorporated, and 89Zr introduced, are compatible with a wide variety of nanoparticle types and formulation methods.
In yet another preferred embodiment of the invention, where further stabilty is desired in the formulation, the invention a lipophilic DFO derivative, named C34-DFO,6 that can be incorporated following the same protocol.
In yet a further non-limiting preferred embodiment of the invention, the invention includes radiolabeled protein-coated nanoparticles prepared by first formulating the particles, then functionalizing the protein component with commercially available p-NCS-Bz-DFO, and finally introducing 89Zr using our general procedure.
To decipher macrophage activation pathways that promote allograft immunity, the functional state of macrophages with increased inflammatory cytokine production caused by non-permanent epigenetic reprogramming associated with trained immunity was evaluated. The role for dectin-1 and TLR4 agonists vimentin and the high mobility group box 1 (HMGB1) that may be present under sterile inflammation was shown.
BALB/c (H2d) hearts were transplanted into fully allogeneic C57BL/6 (H2b) recipients as described and data in
To confirm, graft-infiltrating macrophages expressed dectin-1 and TLR4 by flow cytometry are shown in
Having demonstrated that donor allografts upregulated vimentin and HMGB1, vimentin and HMGB1 were shown to promote macrophage training. Using an established in vitro trained immunity model, in which purified monocytes are exposed to β-glucan followed by re-stimulation with LPS, a similar increase was observed in the production of the pro-inflammatory cytokines TNFα and IL-6 upon vimentin and HMGB1 stimulation (
In another preferred aspect of the invention, a nanoimmunotherapy based on high-density lipoprotein (HDL) nanobiologics was developed to target myeloid cells. Since the mammalian target for rapamycin (mTOR) regulates cytokine production (signal 3) through trained immunity, the mTOR inhibitor rapamycin (
The resulting nanobiologics had a drug encapsulation efficiency of 62±11% and a mean hydrodynamic diameter of 12.7±4.4 nm, as determined by high performance liquid chromatography and dynamic light scattering, respectively. Transmission electron microscopy revealed mTORi-HDL to have the discoidal structure (
Using an established in vitro trained immunity model, in which purified human monocytes are exposed to β-glucan, increased cytokine and lactate production upon re-stimulation with LPS was observed. Conversely, β-glucan-trained human monocytes treated with mTORi-HDL during the training period displayed significantly less cytokine and lactate production upon LPS re-stimulation (
The biodistribution and immune cell specificity of fluorescent-dyed (DiO or DiR) or zirconium-89 radiolabeled mTORi-HDL is shown (89Zr-mTORi-HDL;
mTORi-HDL treatment was applied to an experimental heart transplant mouse model (
Since the nanoimmunotherapy showed favorable organ distribution pattern and heart allograft uptake, immune cell specificity of mTORi-HDL that had been labeled with the fluorescent dye DiO was evaluated. 24 hours after intravenous administration, the heart allograft, as well as blood and spleen, were collected and measured for mTORi-HDL distribution in DC, macrophages, neutrophils and T cells by flow cytometry. The mTORi-HDL cellular preference towards myeloid cells is shown in the figures, with significantly higher uptake by macrophages than either DC or neutrophils in the allograft, blood and spleen (
A treatment regimen involving three intravenous mTORi-HDL injections at 5 mg/kg rapamycin per dose, at the day of transplantation as well as on postoperative days 2 and 5 was assessed. The myeloid cell compartment in the allograft, blood and spleen of mice receiving either mTORi-HDL treatments or placebo was profiled. In line with the targeting data, the overall numbers of macrophages, neutrophils and DC were significantly lower in the allograft, blood and spleen (
mTORi-HDL nanoimmunotherapy's effect on the distribution of two different macrophage subsets (Ly-6Chi and Ly-6Clo), which have distinct immune regulatory properties, is also provided in the figures. Six days after transplantation, untreated recipient mice had increased numbers of inflammatory Ly-6Chi macrophages in the allograft, blood and spleen (
Gene Set Enrichment Analysis (GSEA) of mRNA isolated from flow-sorted macrophages from the allografts of animals treated with either placebo or mTORi-HDL was used to illustrate the molecular pathways targeted by the mTORi-HDL nanoimmunotherapy. Gene array results indicated that the trained immunity-related mTOR and glycolysis pathways were negatively regulated by mTORi-HDL (
As shown in the Figures, the functional role of Ly-6Clo Mreg in transplant recipients is illustrated using depleted Ly-6Clo Mreg in vivo. Briefly, BALB/c (H2d) donor cardiac allografts were transplanted into C57BL/6 fully allogeneic CD169 diphtheria toxin (DT) receptor (DTR) (H2b) recipient mice treated with mTORi-HDL. Regulatory Ly-6Clo Mreg was depleted by DT administration on the day of transplantation (
Activated macrophages produce large amounts of IL-6 and TNFα that promote T cell graft-reactive alloimmunity. The absence of recipient IL-6 and TNFα synergizes with the administration of CD40-CD40L co-stimulatory blockade to induce permanent allograft acceptance. This was shown by concurrent co-stimulatory blockade (signal 2) to augment mTORi-HDL's efficacy. To illustrate, a second nanoimmunotherapy treatment consisting of a CD40-TRAF6 inhibitory HDL (TRAF6i-HDL) was used (
Nanoimmunotherapy's ability to prolong graft survival of fully allogeneic donor hearts is shown in the figures. Using the aforementioned three-dose regimen of 5 mg/kg per dose on postoperative days 0, 2, and 5, the mTORi-HDL treatment significantly increased heart allograft survival as compared to placebo, HDL vehicle and oral/intravenous rapamycin treatments (
Collectively, the data showed that HDL-based nanoimmunotherapy prevents macrophage-derived inflammatory cytokine production associated with trained immunity. Further, HDL-based nanoimmunotherapy presented less toxicity than an oral rapamycin resulting in prolonged therapeutic benefits without off-target side effects (
Female C57BL/6J (B6 WT, H-2b) and BALB/c (H-2d) mice were purchased from the Jackson Laboratory. Eight-week-old C57BL/6J (Foxp3tm1Flv/J), CCR2-deficient, and CD11c-DTR mice were purchased from the Jackson Laboratory. C57BL/6J CD169DTR mice were acquired from Masato Tanaka (Kawaguchi, Japan) (Miyake et al., 2007). Animals were enrolled at 8 to 10 weeks of age (body weight, 20-25 g). All experiments were performed with matched 8- to 12-week-old female mice in accordance with protocols approved by the Mount Sinai Animal Care and Utilization Committee.
Buffy coats from pooled unspecified gender healthy donors were obtained after written informed consent (Sanquin blood bank, Nijmegen, The Netherlands). Gender and age of healthy donors was not collected and is therefore unavailable.
BALB/c hearts were transplanted as fully vascularized heterotopic grafts into C57BL/6 mice as previously described (Corry et al., 1973). Hearts were transplanted into recipients' peritoneal cavities by establishing end-to-side anastomosis between the donor and recipient aortae and end-to-side anastomosis between the donor pulmonary trunk and the recipient inferior vena cava. Cardiac allograft survival was subsequently assessed through daily palpation. Rejection was defined as the complete cessation of cardiac contraction and was confirmed by direct visualization at laparotomy. Graft survival was compared among groups using Kaplan-Meier survival analysis.
Human apoA-I was isolated from human HDL concentrates (Bioresource Technology) following a previously described procedure (Zamanian-Daryoush et al., 2013). Briefly, a potassium bromide solution (density: 1.20 g/mL) was layered on top of the concentrate and purified HDL was obtained by ultracentrifugation. The purified fraction was added to a chloroform/methanol solution for delipidation. The resulting milky solution was filtered and the apoA-I precipitate was allowed to dry overnight. The protein was renatured in 6 M guanidine hydrochloride, and the resulting solution dialyzed against PBS. Finally, the apoA-I PBS solution was filtered through a 0.22 μm filter and the protein's identity and purity were established by gel electrophoresis and size exclusion chromatography.
mTORi-HDL nanoparticles were synthesized using a modified lipid film hydration method. Briefly, 1,2-dimyristoyl-sn-glycero-3-phosphatidylcholine (DMPC), 1-myristoyl-2-hydroxy-sn-glycero-phosphocholine (MHPC) (both purchased from Avanti Polar Lipids) and rapamycin (Selleckchem) were dissolved in a chloroform/methanol (10:1 v/v) mixture at a 3:1:0.5 weight ratio. After evaporating the solvents, human apoA-I in PBS was added to hydrate the lipid film, in a phospholipid to apoA-I 5:1 weight ratio, and left to incubate for 20 minutes in an ice bath. The resulting mixture was homogenized using a probe sonicator in an ice bath for 15 minutes to yield mTORi-HDL nanoparticles. mTORi-HDL was washed and concentrated by centrifugal filtration using 10 kDa molecular weight cut-off (MWCO) filter tubes. Aggregates were removed using centrifugation and filtration (0.22 μm). For the therapeutic studies, animals received oral doses or intravenous tail injections (for mTORi-HDL or intravenous Ra) at a rapamycin dose of 5 mg/kg on the day of transplantation, as well as days two and five post-transplantation.
HDL nanobiologics size and surface charge was determined by dynamic light scattering (DLS) and Z-potential measurements. The final composition after purification was determined by standard protein and phospholipid quantification methods (bicinchoninic acid assay and malachite green phosphate assay), whereas drug concentration was established by HPLC against a calibration curve of the reference compound. A variability of ±15% between batches was considered acceptable.
Radiolabeling mTORi-HDL Nanoparticles
mTORi-HDL was radiolabeled with 89Zr according to previously described procedures (Perez-Medina et al., 2015). Briefly, ready-to-label mTORi-HDL was obtained by adding 1 mol % of the phospholipid chelator DSPE-DFO at the expense of DMPC in the initial formulation. Radiolabeling with 89Zr was achieved by reacting the DFO-bearing nanoparticles with 89Zr-oxalate in PBS (pH=7.1) at 37° C. for one hour. 89Zr-mTORi-HDL was isolated by centrifugal filtration using 10 kDa MWCO tubes. The radiochemical yield was 75±2% (n=2).
Mice (n=6; 3 with heart transplants [weight: 18.8±1.0 g]) were injected with a single 89Zr-mTORi-HDL (0.17±0.01 mCi, ˜0.25 mg apoA-I) dose in 0.2 mL PBS solution via their lateral tail vein six days post graft transplantation. 24 hours later, animals were anesthetized with isoflurane (Baxter Healthcare, Deerfield, USA)/oxygen gas mixture (2% for induction, 1% for maintenance), and a scan was then performed using an Inveon PET/CT system (Siemens Healthcare Global, Erlangen, Germany). Whole body PET static scans, recording a minimum of 30 million coincident events, were performed for 15 minutes. The energy and coincidence timing windows were 350-700 keV and 6 ns, respectively. The image data were normalized to correct for PET response non-uniformity, dead-time count losses, positron branching ratio and physical decay to the time of injection, but no attenuation, scatter or partial-volume averaging correction was applied. The counting rates in the reconstructed images were converted to activity concentrations (percentage injected dose [% ID] per gram of tissue) using a system calibration factor derived from imaging a mouse-sized water-equivalent phantom containing 89Zr. Images were analyzed using ASIPro VMTM software (Concorde Microsystems, Knoxville, USA) and Inveon Research Workplace (Siemens Healthcare Global, Erlangen, Germany) software. Whole body standard low magnification CT scans were performed with the X-ray tube setup at a voltage of 80 kV and current of 500 μA. The CT scan was acquired using 120 rotational steps for a total of 220 degrees to yield an estimated scan time of 120 s with an exposure of 145 ms per frame. Immediately after the PET/CT scan, animals were sacrificed and tissues of interest—kidney, heart, liver, spleen, blood, bone, skin and muscle—were collected, weighed and counted on a Wizard2 2480 automatic gamma counter (Perkin Elmer, Waltham, USA) to determine radioactivity content. The values were decay-corrected and converted to percentage of injected dose per gram (% ID/g). To determine radioactivity distribution within the transplanted hearts, the native and grafted specimens were placed in a film cassette against a phosphorimaging plate (BASMS-2325, Fujifilm, Valhalla, USA) for 4 hours at −20° C. The plate was read at a pixel resolution of 25 m with a Typhoon 7000IP plate reader (GE Healthcare, Pittsburgh, USA). The images were analyzed using ImageJ software.
Transplanted hearts were harvested, subdivided, frozen directly in Tissue-Tek OCT (Sakura), and stored at −80° C. in preparation for immunological studies. Sections of 8 μm were cut using a Leica 1900CM cryomicrotome mounted on polylysine-coated slides, and fixed in acetone (at −20C degrees for 20 minutes) and then incubated with blocking buffer containing 1% BSA and 5% goat or rabbit serum. The slides were then incubated overnight at 4C with 1/100 rat anti-muse dectin1 (clone 2A11) or rabbit anti-mouse vimentin (clone EPR3776) from Abcam. After overnight incubation the slides were washed in PBS and then incubated with conjugated goat monoclonal anti-rabbit Cy-3 (1/800) or a goat monoclonal anti-rat Cy-2 (1/500) purchased from Jackson Immunoresearch. All slides were mounted with Vectashield with Dapi (Vector Laboratories) to preserve fluorescence. Images were acquired with a Leica DMRA2 fluorescence microscope (Wetzlar) and a digital Hamamatsu charge-coupled device camera. Separate green, red, and blue images were collected and analyzed with ImageJ software (NIH).
Mouse hearts were rinsed in situ with HBSS with 1% heparin. Explanted hearts were cut into small pieces and digested for 40 minutes at 37° C. with 400 U/ml collagenase A (Sigma-Aldrich), 10 mM HEPES (Cellgro) and 0.01% DNase I (MP Biomedicals) in HBSS (Cellgro). Digested suspensions were passed through a nylon mesh and centrifuged, and the cell pellet was re-suspended in complete HBSS, stained and analyzed by flow cytometry (BD LSR-II; BD Biosciences).
For myeloid cell staining, fluorochrome-conjugated mAbs specific to mouse CD45 (clone 30-F11), CD11b (clone M1/70), CD11c (clone N418), F4/80 (clone CI:A3.1), Ly-6C (clone HK1.4) and corresponding isotype controls were purchased from eBioscience. Ly-6G (clone 1A8) mAb was purchased from Biolegend. For T-cell staining, antibodies against CD3 (clone 2C11), CD4 (clone GK1.5), CD8 (clone 53-6.7), and CD25 (clone PC61.5) were purchased from eBioscience. The absolute cell counting was performed using countbright beads (Invitrogen). For progenitor, myeloid and lymphoid cell staining in the bone marrow, spleen, kidney and liver, fluorochrome-conjugated mAbs specific to mouse B220/CD45R (clone RA3-6B2), CD34 (clone RAM34), CD16/32 (clone 93), CD90 (clone 53-2.1), CD19 (clone 1D3), CD115 (clone AFS98) and CD135 (clone A2F10) from eBioscience; CD49b (clone DX5), MHCII (clone M5/114.15.2) and Sca-1 (clone D7) were purchased from Biolegend; CD64 (clone X54-5/7.1), CD117 (clone 2B8), and CD172a (clone P84) were purchased from BD Biosciences. Flow cytometric analysis was performed on LSR II (BD Biosciences) and analyzed with FlowJo software (Tree Star, Inc.). Results are expressed as percentage of cells staining or cells counting (cells per milliliter) above background. To purify graft-infiltrating myeloid cells, donor heart single cell suspensions were sorted with an InFlux cell sorter (BD) to achieve >96% purity at the Flow Cytometry Shared Resource Facility at Icahn School of Medicine at Mount Sinai.
Human monocytes were isolated and trained as previously described. PBMC isolation was performed by dilution of blood in pyrogen-free PBS and differential density centrifugation over Ficoll-Paque (GE Healthcare, UK). Subsequently, monocyte isolation was performed by hyper-osmotic density gradient centrifugation over Percoll (Sigma). Monocytes (1×107) were plated to 10 cm Petri dishes (Greiner) in 10 ml medium volumes and incubated with either culture medium only as a negative control or 5 g/ml of β-glucan with or without mTORi-HDL (1 μg/ml) for 24 hours (in 10% pooled human serum). At day six, cells were detached from the plate, and 1×105 macrophages were reseeded in 96-well flat bottom plates to be re-stimulated for 24 hours with 200 μl of either RPMI or Escherichia coli LPS (serotype 055:B5, Sigma-Aldrich, 10 ng/ml), after which supernatants were collected and stored at −20° C. Cytokine production was determined in supernatants using commercial ELISA kits for TNFα and IL-6 (R&D systems) following the instructions of the manufacturer. The remaining cells were fixed in 1% methanol-free formaldehyde and sonicated. Immunoprecipitation was performed using an antibody against H3K4me3 (Diagenode, Seraing, Belgium). DNA was isolated with a MinElute PCR purification kit (Quiagen) and was further processed for qPCR analysis using the SYBR green method. Samples were analyzed by a comparative Ct method according to the manufacturer's instructions.
Bone marrow monocytes were isolated using a monocyte isolation kit (Miltenyi). Monocytic precursors (1×106/well in a 48-well plate) were differentiated in vitro with 10 ng/ml of recombinant murine GM-CSF (peprotech) for 6 days. On day 6, either 10 g/ml of β-glucan (Sigma) or 100 μg/ml of vimentin (R&D systems) was added to the cultures for 24 h. After 3 days of resting, macrophages were restimulated with either 10 ng/ml of LPS (Sigma) or 20 μg/ml of HMGB1 (R&D systems) for 24 h. Cytokine production was determined in supernatants using commercial ELISA kits for TNFα and IL-6 (R&D systems) while the remaining cells were used in chromatin immunoprecipitation (ChIP) assays.
In vitro bone marrow derived trained macrophages or graft-infiltrating macrophages were used in this assay. The following antibodies were used: anti-H3K4me3 (39159; Active Motif), and anti-IgG (ab171870; Abcam). For experiments with ChIP followed by qPCR, crosslinking was performed for 10 min. For sonication, we used a refrigerated Bioruptor (Diagenode), which we optimized to generate DNA fragments of approximately 200-1,000 base pair (bp). Lysates were pre-cleared for two hours using the appropriate isotype-matched control antibody (rabbit IgG; Abeam). The specific antibodies were coupled with magnetic beads (Dynabeads® M-280 Sheep Anti-Rabbit IgG; ThermoFisher Scientific) overnight at 4° C. Antibody-bound beads and chromatin were then immunoprecipitated overnight at 4° C. with rotation. After washing, reverse crosslinking was carried out overnight at 65° C. After digestion with RNase and proteinase K (Roche), DNA was isolated with a MinElute kit (Qiagen) and used for downstream applications. qPCR was performed using the iQ SYBR Green Supermix (Bio-Rad) according to manufacturer's instructions. Primers were designed using the Primer3 online tool; cross-compared to a visualized murine mm10 genome on the Integrated Genomics Viewer (IGV; Broad).
Spleens of C57BL/6 (H-2b) mice were gently dissociated into single-cell suspensions, and red blood cells were removed using hypotonic ACK lysis buffer. Splenocytes were labeled with CFSE at 5 μM concentration (using molecular probes from Invitrogen) followed by staining with anti-CD8 mAb for 30 minutes on ice. Responder CFSE+CD8+ T-cells were sorted using FACS Aria II (BD Biosciences) with >98% purity. CFSE+CD8+ T-cells were used together with anti-CD3/CD28 microbeads as stimulators. Stimulated CFSE+CD8+ T-cells were cultured with graft-infiltrating Ly-6Clo macrophages, mTORi-HDL or placebo for 72 hours at 37° C. in a 5% C02 incubator. T-cell proliferation was measured by flow cytometric analysis of CFSE dilution on CD8+ T-cells.
Spleens of C57BL/6-Foxp3tm1Flv/J (H-2b) mice were gently dissociated into single-cell suspensions, and red blood cells were removed using hypotonic ACK lysis buffer.
Splenocytes were stained with anti-CD4 mAb for 30 minutes on ice. Responder CD4+ were sorted using FACS Aria II (BD Biosciences) with a purity of >98%. CD4+ T-cells were used together with anti-CD3/CD28 microbeads as stimulators. Stimulated CD4+ T-cells were cultured with graft-infiltrating Ly-6Clo macrophages, mTORi-HDL or placebo for 72 hours at 37° C. in a 5% C02 incubator. Treg expansion was measured by flow cytometric analysis of Foxp3-RFP on CD4+ T-cells.
Bone marrow derived macrophages were trained as above. Graft-infiltrating macrophages were isolated as above. TNF-α and IL-6 cytokines produced by trained macrophages in vitro and by graft-infiltrating macrophages was assessed by ELISA (R&D Systems) according to the manufacturer protocol.
Graft-infiltrating recipient Ly-6Clo macrophages were sorted from mTORi-HDL-treated and placebo-rejecting recipients at day six after transplantation. Cells were sorted twice with a FACS Aria II sorter (BD Biosciences) to achieve >98% purity. Microarray analysis of sorted cells was performed with a total of six Affymetrix Mouse Exon GeneChip 2.0 arrays (Thermo Fisher Scientific) and samples of interest were run in triplicate. Raw CEL file data was normalized using Affymetrix Expression Console Software. Gene expression was filtered based on IQR (0.25) filter using gene filter package. The log 2 normalized and filtered data (adjusted P<0.05) were used for further analysis. Gene signature comparisons were performed between intra-graft Ly6Clo macrophages from mTORi-HDL- and placebo-treated recipients. GSEA was performed using GSEA version 17 from Gene pattern version 3.9.6. Parameters used for the analysis were as follows. Gene sets c2.cp.biocarta.v5.1.symbols.gmt; c2.cp.kegg.v5.1.symbols.gmt; c2.cp.reactome.v5.1.symbols.gmt; c6.all.v5.1.symbols.gmt (Oncogenic Signatures); c7.all.v5.1.symbols.gmt (Immunologic signatures) and h.all.v5.1.symbols.gmt (Hallmarks) were used for running GSEA. To select the significant pathways from each gene set result, fdr q-value of 0.25 was set as cutoff. Only genes that contributed to core enrichment were considered.
To deplete CD169-expressing Ly-6Clo macrophages, heterozygous CD169-DTR recipients were injected intraperitoneally with 10 ng/g body weight of DT (Sigma-Aldrich) 24, 48 and 72 hours after transplantation.
Statistical analyses Results are expressed as mean±SEM. Statistical comparisons between two groups were evaluated using the Mann-Whitney test or the Wilcoxon signed-rank test for paired measurements. Comparisons among three or more groups were analyzed using the Kruskal-Wallis test followed by Dunn's multiple comparisons test. Kaplan-Meier curves were plotted for allograft survival analysis, and differences between the groups were evaluated using a log-rank test. A value of P≤0.05 was considered statistically significant. GraphPad Prism 7 was used for statistical analysis.
The microarray data discussed in this publication have been deposited at NCBI and are accessible through GEO Series accession number GSE119370:
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.ncbi.nlm.nih.gov_geo_query_acc.cgi-3Facc-3DGSE119370&d=DwIEAg&c=shNJtf5dKgNcPZ6Yh64b-A&r=UQzd7yXCG-7V6o6EdZSeY_KvCshJgQzt0LAtZPqCh9Q&m=cuA3YUXFJvxExRDD8AweBNKmcjdYX oyMojyj9IZeQf8&s=f1i6P2_K57m-i40hkuoOxGuMsZH_IKcvtAi3C-9QfmQ&e=
Referring to the
mTORi-HDL was constructed from human apolipoprotein A-I(apoA-I) and the phospholipids 1-myristoyl-2-hydroxy-sn-glycero-phosphocholine (MHPC) and 1,2-dimy-ristoyl-sn-glycero-3-phosphatidylcholine (DMPC), in which the mTOR inhibitor rapamycin was incorporated (
To evaluate the effect of mTORi-HDL on plaque inflammation we used 20-week old Apoe−/− mice that had been fed a high-cholesterol diet for 12 weeks to develop atherosclerotic lesions.
While they remained on a high-cholesterol diet, all mice were treated during one week with four intravenous injections of PBS (control, n=7) or mTORi-HDL (containing 5 mg/kg rapamycin, n=10). Mice were euthanized 24 hours after the final infusion. Quantitative histologic analysis of plaque in the aortic sinus area showed no difference in plaque size or collagen content (
Next, we performed fluorescence molecular tomography with computed tomography (FMT-CT) imaging to visualize protease activity in the aortic root area. We used the same mouse model and treatment regimen as described above. Control mice (n=8) and mTORi-HDL treated Apoe−/− mice (n=10) received a single injection of an activatable pan-cathepsin protease sensor 24 hours before imaging. The protease sensor is taken up by activated macrophages and cleaved in the endolysosome, yielding fluorescence as a function of enzyme activity. mTORi-HDL reduced protease activity by 30% (P=0.03,
In the pursuit of understanding the mechanism by which the mTOR signaling pathway controls monocyte and macrophage dynamics in atherosclerosis we focused on the mTOR-S6K1 (S6K1: ribosomal protein S6 kinase beta-1) signaling axis. S6K1 signaling is known to regulate fundamental cellular processes, including transcription, translation, cell growth and cell metabolism, but little is known about its role in regulating innate immune responses in atherosclerosis. For this purpose, we constructed an HDL nanobiologic containing PF-4708671 (S6K1i-HDL), a specific inhibitor of S6K1 (
Next, in vitro experiments were performed in human adherent monocytes in which trained immunity was induced by oxLDL as described previously (Bekkering et al., 2018). We investigated if mTORi-HDL and S6K1i-HDL nanobiologic treatment inhibited oxLDL-induced trained immunity. Indeed, we found diminished cytokine production upon TLR-4 and TLR-2 mediated re-stimulation with lipopolysaccharide LPS (
Monocytes and macrophages constitute a critical component of our host defense mechanism. Upon recognition of foreign pathogens, these phagocytic cells become activated and mount an inflammatory response to resolve the infection. Sterile substances can also be perceived as danger signals and incite an inflammatory response. This may be appropriate in some cases, but can also be maladaptive, such as in atherosclerosis.
Oxidized low-density lipoprotein cholesterol (oxLDL) and cholesterol crystals are the primary stimuli for the pathogenic innate immune response in atherosclerosis. OxLDL induces transcriptional reprogramming of granulocyte-monocyte progenitor cells, which stimulates pro-inflammatory monocyte production and release from the bone marrow. This results in increased recruitment of inflammatory monocytes to plaques where they differentiate into macrophages. Furthermore and for an important part, plaque inflammation is sustained by local proliferation of macrophages.
OxLDL and cholesterol crystals are also involved in the inflammatory activation of macrophages. OxLDL cholesterol can prime macrophages via activation of a signaling complex formed by a heterodimer of Toll-like receptor 4 (TLR4) and TLR6 together with the scavenger receptor class B member 1 (SRB1) that activates nuclear factor-κB (NF-κB).
Cholesterol crystals induce NLRP3 inflammasome activation by phagolysosomal damage in the macrophages.
Another mechanism by which cholesterol fuels ongoing innate immune cell activation in atherosclerosis is “trained immunity”. Trained immunity, also known as innate immune memory, entices a non-specific immunological memory build-up via epigenetic modifications. This process can be provoked by oxLDL and results in a macrophage phenotype that is characterized by a long-lasting pro-inflammatory response. The oxLDL-induced trained immunity is mediated through NLRP3 inflammasome activation. Thus trained immunity is involved in sustaining inflammatory activity in atherosclerosis. Epigenetic reprogramming of myeloid cells that occurs in trained immunity is associated with marked alterations in cell metabolism. A metabolic shift to aerobic glycolysis induces trained immunity. Not only glucose metabolism but also other metabolic pathways are involved, among which are glutaminolysis and the cholesterol synthesis pathway. Interestingly, the induction of trained immunity by any of these metabolic pathways depends on the activation of the mechanistic target of rapamycin (mTOR), and therefore is a compelling target to prevent trained immunity. The mTOR signaling pathway plays a crucial role in innate immune cell function by acting as an integrative sensor of cellular nutrient status and metabolically coordinating the inflammatory activity of macrophages.
The effect of blocking the mTOR signaling pathway in atherosclerotic monocytes and macrophages was investigated in apolipoprotein E-deficient (Apoe−/−) mice, with the focus on the mTOR-S6K1 axis. To achieve inhibition specifically in myeloid cells, we intravenously administered two different high density-lipoprotein (HDL) nanobiologics that incorporated an mTOR or S6K1 inhibitor, respectively. We observed rapidly reduced plaque inflammation through a combination of diminished macrophage proliferation and inflammatory activity.
The mTOR signaling network is fundamental for balancing anabolism and catabolism in response to the nutritional status in all eukaryotic cells. It plays a dominant role in regulating cellular activity, growth and division. In the present invention, we provide evidence of a mechanistic framework in which mTOR and S6K1 signaling dictates proliferation as well as the inflammatory activity of mononuclear phagocytes in atherosclerosis, both energetically demanding processes.
As claimed and disclosed, we show that cell-specific inhibition of mTOR and S6K1, accomplished by the use of HDL nanobiologics, rapidly suppresses plaque inflammation. We observed this to be the result of diminished local proliferation and a suppressed inflammatory state of macrophages. Transcriptomic analyses of monocytes and macrophages isolated from plaques revealed the key cellular processes that were affected by mTOR and S6K1 inhibition.
These included processes related to cell growth and proliferation, metabolism, and phagocytic function.
Tissue macrophages can be self-maintained by local proliferation. This self-renewing capacity is largely responsible for the expansion of macrophage numbers in advanced plaques. The data in the present invention show that the pharmacologic inhibition of macrophage proliferation, by blocking mTOR and S6K1 signaling, caused prompt reduction of plaque inflammation.
Transcriptomic analyses revealed altered expression of genes related to transcription and translation as well as pathways regulating cell growth and division. Our findings resemble observations made in alternatively activated macrophages. In a mouse model of helminth-induced infection, in which macrophage activation is predominantly induced by interleukin 4 (IL-4), massive local proliferation of macrophages was observed. It was subsequently shown that the IL-4 receptor targets the phosphatidylinositide 3-kinase (PI3K)—Akt signaling pathway which is responsible for the IL-4 induced proliferation. As the PI3K-Akt pathway directly regulates mTOR activation, mTOR was likely to be involved in mediating these effects.
In addition to the effects on proliferation, we also observed that mTORi-HDL and S6K1i-HDL avert myeloid cells from mounting an innate immune memory response. Trained immunity's dependence on the activation of mTOR has been firmly established previously, but our data reveal this also holds true for S6K1 signaling. However, it is interesting to note that S6K1 is not merely a downstream target of mTOR, as this ribosomal protein is capable of inhibiting the phosphorylation of insulin receptor substrate 1 (IRS1). S6K1 thereby suppresses insulin-like growth factor 1 receptor (IGFR) and phosphatidylinositide 3-kinase (PI3K)—Akt signaling, which is upstream in the regulation of mTOR.
The epigenetic reprogramming that occurs in trained immunity goes hand in hand with marked alterations in cell metabolism. In vitro, trained monocytes switch to aerobic glycolysis, probably to prepare them for the metabolic requirement upon reactivation. Metabolic shift influences epigenetic processes and it is clear that metabolites such as acetyl coenzyme A, succinate and α-ketoglutarate can directly affect histone acetylation and methylation. In this context it is interesting that we observed a marked downregulated of oxidative phosphorylation. This is likely to force macrophages into a state of low ATP production, since mTOR-S6K1 inhibition is also known to suppress glycolysis. This low energetic state will negatively impact the ability of macrophages to orchestrate an inflammatory response. How this metabolic reprogramming affects trained immunity was not investigated here and is outside of the scope of the current study.
Atherosclerosis is a lipid-driven inflammatory disease that entices a complex immunologic response, and macrophages are considered the main protagonist. The data we present in this study provide novel insights in the pathogenesis of this disease, by showing that mTOR signaling underlies the chronic maladaptive inflammatory response of macrophages. Both the inflammatory activation in the form of trained immunity and macrophage proliferation were shown to be under the auspices of the mTOR signaling network. These novel mechanistic insights yield new therapeutic opportunities to mitigate the dysfunctional innate immune response in atherosclerosis.
Female Apoe−/− mice (B6.129P2-Apoetm1Unc) were used for this study. Animal care and procedures were based on an approved institutional protocol from Icahn School of Medicine at Mount Sinai. Eight-week-old Apoe−/− mice were purchased from The Jackson Laboratory.
All mice were fed a high-cholesterol diet (0.2% weight cholesterol; 15.2% kcal protein, 42.7% kcal carbohydrate, 42.0% kcal fat; Harlan TD. 88137) for 12 weeks. Littermates were randomly assigned to treatment groups.
In vitro experiments were performed on either the RAW264.7 cell line or bone marrow derived macrophages (BMDMs). RAW264.7 cells were cultured in T75 cm2 Flasks (Falcon), in high glucose Dulbecco's modified Eagle's medium (DMEM) (Gibco Life Technologies). BMDMs were cultured in cell culture dishes, in Roswell Park Memorial Institute medium (RPMI) with addition of 15% L929-cell conditioned medium. All cells were incubated at 37° C. in a 5% C02 atmosphere.
For in vitro studies on human monocytes, buffy coats from healthy donors were obtained after written informed consent (Sanquin blood bank, Nijmegen, The Netherlands). For histologic analysis, human atherosclerotic plaque samples were obtained from four patients. All four patients had an indication for carotid endarterectomy. Gender of the included subjects for both studies is known, although gender association cannot be analyzed due to small group sizes. Subject allocation to groups is not applicable.
rHDL nanobiologic formulations were synthesized as shown herein. For mTORi-HDL, the mTORC1-complex inhibitor rapamycin (3 mg, 3.3 μmol), was combined with 1-myristoyl-2-hydroxy-sn-glycero-phosphocholine (MHPC) (6 mg, 12.8 μmol) and 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC) (18 mg, 26.6 μmol) (Avanti Polar Lipids). For S6K1i-HDL, the S6K1 inhibitor PF-4708671 (1.5 mg, 4.6 μmol) was combined with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) (18 mg, 23.7 μmol) and 1-palmitoyl-2-hydroxy-sn-glycero-3-phosphocholine (PHPC) (6 mg, 12.1 μmol). The compounds and lipids were dissolved in methanol and chloroform, mixed, and then dried in a vacuum, yielding a thin lipid film. A PBS solution of human apolipoprotein A1 (apoA-I) (4.8 mg in 5 ml) was added to the lipid film. The mixture was incubated in an ice-cold sonication bath for 15-30 minutes. Subsequently, the solution was sonicated using a tip sonicator at 0° C. for 20 minutes to form rHDL based nanobiologics. The obtained solution was concentrated by centrifugal filtration using a 100 MWCO Vivaspin tube at 3000 rpm to obtain a volume of −1 ml. PBS (5 ml) was added and the solution was concentrated to −1 ml. Again, PBS (5 ml) was added and the solution was concentrated to −1 ml. The remaining solution was filtered through a 0.22 μm PES syringe filter to obtain the final nanobiologic solution. For targeting and biodistribution experiments, analogs of mTORi-HDL and S6K1i-HDL were prepared through incorporation of the fluorescent dyes DiR or DiO (Invitrogen).
Twenty-week-old Apoe−/− received either PBS, empty rHDL nanobiologics, mTORi-HDL (mTORi at 5 mg/kg), or S6K1i-HDL (S6K1i at 5 mg/kg) through lateral tail vein injections. Mice were treated with 4 injections over 7 days, while being kept on a high-cholesterol diet. For the targeting and biodistribution experiments, mice received a single intravenous injection. All animals were euthanized 24 hours after the last injection.
After nanobiologic treatment, mice were injected with 5 nanomoles of pan-cathepsin protease sensor (ProSense 680, PerkinElmer, Cat no. NEV10003). Twenty-four hours later, animals were placed in a custom build cartridge and sedated during imaging with continuous isoflurane administration as described previously (ref). Animals were first scanned using a high-resolution CT scanner (Inveon PET-CT, Siemens), with a continuous infusion of CT-contrast agent (isovue-370, Bracco Diagnostics) at a rate of 55 μL/min through a tail vein catheter. Animals were subsequently scanned using an FMT scanner (PerkinElmer) in the same cartridge. The CT X-ray source with an exposure time of 370-400 ms, was operated at 80 kVp and 500 mA. Contrast-enhanced high-resolution CT images were used to localize the aortic root, which was used to guide the placement of the volume of interest for the quantitative FMT protease activity map. Image fusion relied on fiducial markers. Image fusion and analysis was performed using OsiriX v.6.5.2 (The Osirix Foundation, Geneva).
Mice received a single intravenous injection with DiR (0.5 mg/kg) labeled mTORi-HDL (5 mg/kg) or S6K1i-HDL (5 mg/kg). Liver, spleen, lung, kidneys, heart and muscle tissue were collected for NIRF imaging. Fluorescent images were acquired using an IVIS 200 system (Xenogen), with a 2 second exposure time, using a 745 nm excitation filter and an 820 nm emission filter. ROIs were drawn on each tissue with software provided by the vendor, after which quantitative analyses were performed using the average radiant efficiency within these ROIs.
Blood was collected by cardiac puncture and mice were subsequently perfused with 20 mL cold PBS. Spleen and femurs were harvested. The aorta, from aortic root to the iliac bifurcation, was gently cleaned of fat and collected. The aorta was digested using an enzymatic digestion solution containing liberase TH (4 U/ml) (Roche), deoxyribonuclease (DNase) I (40 U/ml) (Sigma-Aldrich), and hyaluronidase (60 U/ml) (Sigma-Aldrich) in PBS at 37° C. for 60 minutes. Cells were filtered through a 70 μm cell strainer and washed with serum containing media. Blood was incubated with lysis buffer for 4 minutes and washed with serum containing media. Spleens were mashed, filtered through a 70 μm cell strainer, incubated with lysis buffer for 4 minutes and washed with serum containing media. Bone marrow was flushed out of the femur with PBS, filtered through a 70 μm cell strainer, incubated with lysis buffer for 30 seconds and washed with serum containing media.
Single cell suspensions were stained with the following monoclonal antibodies: anti-CD11b (clone M1/70), anti-F4/80 (clone BM8); anti-CD11c (clone N418), anti-CD45 (clone 30-F11), anti-Ly6C (clone AL-21), and a lineage cocktail (Lin) containing anti-CD90.2 (clone 53-2.1), anti-Ter119 (clone TER119), anti-NK1.1 (clone PK136), anti-CD49b (clone DX5), anti-CD45R (clone RA3-6B2) and anti-Ly6G (clone 1A8). The contribution of newly made cells to different populations was determined by in vivo labeling with 5-Bromo-2′-deoxy-uridine (BrdU). Anti-BrdU antibodies were used according to the manufacturer's protocol (BD APC-BrdU Kit). Macrophages were identified as CD45+, CD11 bhi, Lin−/low, CD11clo and F4/80hi. Ly6Chi monocytes were identified as CD45+, CD11bhi, Lin−/low, CD11clo and Ly6Chi. Data were acquired on an LSRII flow cytometer (BD Biosciences), and the data were analyzed using FlowJo v0.0.7 (Tree Star).
Tissues for histological analyses were collected and fixed in formalin and embedded in paraffin. Mouse aortic roots were sectioned into 4 μm slices, generating a total of 90-100 cross-sections per aortic root. Eight cross-sections were stained with hematoxylin and eosin (H&E) and used for atherosclerotic plaque size measurement. Sirius red staining was used for analysis of collagen content. For immunohistochemical staining, mouse aortic roots and human carotid endarterectomy (CEA) sections were deparaffinized, blocked using 4% FCS in PBS for 30 minutes and incubated in antigen-retrieval solution (DAKO) at 95° C. for 10 minutes. Mouse aortic root sections were immunolabeled with rat anti-mouse Mac3 monoclonal antibody (1:30, BD Biosciences). Both mouse aortic roots and CEA samples were stained for prosaposin using a rabbit anti-human prosaposin primary antibody (1:500, Abeam) in combination with a biotinylated goat anti-rabbit secondary antibody (1:300, DAKO). CEA samples were stained for macrophages using a donkey anti-mouse CD68 primary antibody (1:300, Abcam) in combination with a biotinylated donkey anti-mouse secondary antibody (1:300; Jackson ImmunoResearch) Antibody staining was visualized by either Immpact AMEC red (Vectorlabs) or diaminobenzidine (DAB). Sections were analyzed using a Leica DM6000 microscope (Leica Microsystems) or the VENTANA iScan HT slide scanner (Ventana).
Laser capture microdissection was performed on 24 aortic root sections (6 μm). Frozen sections were dehydrated in graded ethanol solutions (70% twice, 95% twice, 100% once), washed with diethyl pyrocarbonate (DEPC)-treated water, stained with Mayer's H&E and cleared in xylene. For every 8 sections, 1 section was used for CD68 staining (Abd Serotec, 1:250 dilution), which was used to guide the laser capture microdissection. CD68-rich areas within the plaques were identified and collected using an ArcturusXT LCM System.
The CD68+ cells collected by laser capture microdissection were used for RNA isolation (PicoPure RNA Isolation Kit, Arcturus) and subsequent RNA amplification and cDNA preparation according to the manufacturers protocols (Ovation Pico WTA System, NuGEN). The quality and concentration of the collected samples were measured using an Agilent 2100 Bioanalyzer. For RNA sequencing, pair-end libraries were prepared and validated. The purity, fragment size, yield, and concentration were determined. During cluster generation, the library molecules were hybridized onto an Illumina flow cell. Subsequently, the hybridized molecules were amplified using bridge amplification, resulting in a heterogeneous population of clusters. The data set was obtained using an Ilumina HiSeq 2500 sequencer.
For the quantification of cell proliferation, a colorimetric immunoassay based on the incorporation of BrdU during DNA synthesis (Roche, Switzerland) was used. RAW264.7 cells were seeded into 96-well Clear Flat Bottom culture plates (Falcon) at 2.5×103 cells per well and left to adhere overnight. Adhered cells were incubated for 24 hours with either mTORi or S6K1i. Following incubation, BrdU labeling solution was added (1:1000) to each well and left to incubate for 2 hours at 37° C. Following the manufacturer's instructions, the cells were fixed and incubated with Anti-BrdU POD for 1.5 hours. After addition of a substrate solution, the absorbance of the samples was measured at 450 nm with a GoMax-Multi+ plate reader (Promega).
BMDMs were plated at 2.5×103 cells/well in an XF-96-cell culture plate (Seahorse Bioscience) and left to adhere. BMDMs were incubated with either mTORi or S6K1i for 16 hours. The oxygen consumption rate (OCR) was measured in a XF-96 Flux Analyzer (Seahorse Bioscience). The responses to oligomycin, Carbonyl cyanide-4-(trifluoromethoxy)phenylhydrazone (FCCP), and rotenone additions were used to calculate all respiratory characteristics. On completion, DNA content was measured with CyQuant to compensate for differences in cell numbers.
LDL was isolated using KBr-density gradient ultracentrifugation from serum from healthy volunteers. Plasma density was adjusted to d=1.100 g/mL with KBr. The samples were centrifuged for 22 h at 32.000 rpm in a SW41 Ti rotor. Oxidized LDL was prepared by incubation of LDL with 20 μmol CuSO4/L for 15 h at 37° C. in a shaking water bath as described previously. (Tits et al., 2011)
PBMC isolation was performed by dilution of blood in pyrogen-free PBS and differential density centrifugation over Ficoll-Paque. Cells were washed three times in PBS. Percoll isolation of monocytes was performed as previously described (Repnik et al., 2003). Briefly, 150-200-106 PBMCs were layered on top of a hyper-osmotic Percoll solution (48.5% Percoll, 41.5% sterile H2O, 0.16M filter sterilized NaCl) and centrifuged for 15 minutes at 580 g. The interphase layer was isolated and cells were washed once with cold PBS. Cells were resuspended in RPMI culture medium supplemented with 50 μg/ml gentamicin, 2 mM glutamax, and 1 mM pyruvate and counted using a Beckman Coulter counter. An extra purification step was added by adhering Percoll isolated monocytes to polystyrene flat bottom plates (Corning, N.Y., USA) for 1 h at 37° C.; subsequently a washing step with warm PBS was performed to yield maximal purity. (This increases purity to only 3% T cell contamination as described in Bekkering et al., 2016)
Human monocytes were trained as described before (Bekkering et al., 2016). Briefly, 100,000 cells were added to flat-bottom 96-well plates. After washing with warm PBS, monocytes were incubated either with culture medium only as a negative control, 2 μg/mL β-glucan, 10 μg/ml oxLDL or 10-5000 ng/ml prosaposin for 24 h (in 10% pooled human serum). Cells were washed once with 200 μl of warm PBS and incubated for 5 days in culture medium with 10% pooled human serum, and medium was refreshed once. Cells were re-stimulated with either 200 μl RPMI, LPS 10 ng/ml, or Pam3Cys 10 μg/ml. After 24 h, supernatants were collected and stored at −20° C. until cytokine measurement. In some experiments, cells were pre-incubated (before oxLDL training) for 1 h with nanobiologics (rHDL as a control or 1 μM mTORi-HDL or 0. μM S6K1i-HDL). The training stimuli were added after 1 hour to the cells and inhibitors, leaving the inhibitors on for the remaining training period. After 24 h, both stimuli and inhibitors were washed away and cells were let to rest for 5 days as described above.
Cytokine production was determined in supernatants using commercial ELISA kits for human TNFα and IL-6 following the instructions of the manufacturer.
RNA Isolation and qPCR
For qRT-PCR, monocytes were trained as described above but with adaption of amounts of cells needed for RNA extraction. 500.000 cells/well were seeded in duplicate in 24-well plates. At day 0 (after 1-hour adherence and washing), day 1 (after training and washing), day 2, day 3 and at day 6, the supernatant was removed and cells were stored in TRIzol reagent. Total RNA purification was performed according to the manufacturer's instructions. RNA concentrations were measured using NanoDrop software, and isolated RNA was reverse-transcribed using the iScript cDNA Synthesis Kit according to the manufacturer's instructions. qPCR was performed using the SYBR Green method. Measured genes are: 18S and prosaposin. Samples were analyzed following a quantitation method with efficiency correction, and 18S was used as a housekeeping gene. Relative mRNA expression levels of non-primed samples at day 0 were used as reference.
The pair-ended sequencing reads were aligned to human genome hg19 using TopHat aligner (bowtie2)(Langmead and Salzberg, 2012). Next, HTSeq (Anders et al., 2015) was used to quantify the gene expression at the gene level based on GENCODE gene model release 22 (Mudge and Harrow, 2015). Gene expression raw read counts were normalized as counts per million using trimmed mean of M-values normalization method to adjust for sequencing library size difference among samples. DE genes between drug treatments and control were identified using the Bioconductor package limma (Ritchie et al., 2015). In order to correct the multiple testing problem, limma was used to calculate statistics and P values in random samples after a permutation of labels. This procedure was repeated 1,000 times to obtain null t-statistic and P value distribution for estimating the false discovery rate (FDR) values of all genes. The DE genes of cells isolated from the aortic plaques were identified using a cut-off at a corrected P value of less than 0.2. A cut-off at a corrected P value of less than 0.05 was used to identify the DE genes of RAW264.7 cells. A weighted gene co-expression analysis was constructed to identify groups of genes (modules) involved in various activated pathways following a previous described algorithm(Zhang and Horvath, 2005). In short, Pearson correlations were computed between each pair of genes yielding a similarity (correlation) matrix (sij). Subsequently a power function (aij=Power (sij, β)≡|sij|β), was used to transform the similarity matrix into an adjacency matrix A [aij], where aij is the strength of a connection between two nodes (genes) i and j in the network. For all genes the connectivity (k) was determined by taking the sum of their connection strengths with all other genes in the network. The parameter was chosen by using the scale-free topology criterion, such that the resulting network connectivity distribution approximated scale-free topology. The adjacency matrix was then used to define a measure of node dissimilarity, based on the topological overlap matrix. To identify gene modules, we performed hierarchical clustering on the topological overlap matrix. Subsequently, modules were analyzed with the online annotation tools David (https://david.ncifcrf.gov/) and Revigo (http://revigo.irb.hr/). The DE genes were also mapped to the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway with KEGG Mapper.
Results of in vivo experiments are expressed as the mean±SD. Significance of differences were calculated using non-parametric Mann-Whitney U tests and Kruskal-Wallis tests.
In vitro human monocyte experiments were performed at least 6 times and normality checks were performed using visual analysis of histograms and boxplots and a normality assay using Graphpad Prism. Non-parametric parameters were analyzed pairwise using a Wilcoxon signed-rank test. Data are shown as means±SEM.
A p-value below 0.05 was considered statistically significant. All data were analyzed using Graphpad prism 5.0. *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001
All chemicals were purchased from Sigma Aldrich, Medchem Express or Selleckchem, PES syringe filters were obtained from Celltreat. A NE-1002X model microfluidic pump from World precision instruments was used in combination with Zeonor herringbone mixers from Microfluidic-chipshop (#14-1038-0187-05). Particles were purified using a 100 kDa MWCO 20 mL Vivaspin centrifugal filter. Dialysis bags were from Thermo Scientific. The ApoA-I protein was purified in house using a literature procedure xx. Spectroscopic quantification of ApoA-I was performed on a BioTek Cytation 3 imaging plate reader using the Bradfort assay. DLS and Zeta potential measurements were performed on a Brookhaven instrument corporation ZetaPals analyzer, the mean of the number distribution was taken to determine particles sizes. 1H and 1C NMR samples were analyzed using a Bruker 600 ultrashield magnet connected to a Bruker advance 600 console, data was processed using Topspin version 3.5 μl 7.
Quantitative analysis of all drugs, except dimethylmalonate and its derivatives, was performed by HPLC analysis using a Shimadzu UFLC apparatus equipped with either a C18 or CN column. Acetonitrile and water were used as mobile phase and compounds were detected with an SPD-M20a diode array detector. Dimethylmalonate was analyzed using an Agilent tech 5977B MSD 7890B GC-MS, equipped with a HP5MS 30 m, 0.25 mm, 0.25 m column. Aliphatic and cholesterol derivatized malonate were analyzed using a Waters acquity UPC2 SFC-MS using an isopropanol/water mixture as mobile phase and a 1-aminoantracene column. Radiolabeling of the nanoparticles was performed using a procedure previously reported by us.
(3S,8S,9S,10R,13R,14S,17R)-10,13-dimethyl-17-((R)-6-methylheptan-2-yl)-2,3,4,7,8,9,10,11,12,13,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthren-3-ylethyl malonate
Cholesterol (194 mg, 0.50 mmol) was dissolved in DCM (30 mL), pyridine (60 μL, 0.75 mmol) was added and the mixture was cooled to 0° C. Ethyl 3-chloro-3-oxopropanoate (80 μL, 0.75 mmol) was dropwise added and the mixture was stirred for 2 hours at 0° C., allowed to warm to room temperature and stirred for an additional 16 hours. Water (60 mL) was added, the layers separated and the aqueous phase was washed twice with DCM (50 mL). The combined organic fractions were dried using MgSO4 and under vacuum. The crude product was purified using column chromatography (hexane:ethylacetate 1:1) to yield the product as a yellowish solid. Yield: 243 mg, 49 mmol. η=97%. 1H NMR (600 MHz, CDCl3) δ=5.41 (br, 1H), 4.69 (m, 1H), 4.22 (q, J=7.1 Hz, 2H), 3.37 (s, 2H), 2.37 (m, 2H), 2.1-1.1 (m, 26H), 1.30 (t, J=7.2 Hz, 3H), 1.03 (s, 3H), 0.92 (d, J=6.5 Hz, 3H), 0.87 (dd, J=6.5, 2.6 Hz, 6H), 0.69 (s, 3H). 13C NMR (150 MHz, CDCl3) δ=166.88, 166.20, 139.52, 123.07, 75.40, 61.61, 56.85, 56.30, 50.17, 42.48, 42.16, 39.89, 39.70, 38.05, 37.09, 36.74, 36.36, 35.97, 32.07, 32.02, 28.41, 28.19, 27.76, 24.46, 24.01, 23.01, 22.75, 21.21, 19.48, 18.90, 14.28, 12.04. Mass calc. for C32H5204=500.39 D, mass found: 501.67 [M+H+], 369.63 [fragment where the malonate-cholesterol bond is split].
1-octadecanol (250 mg, 1.08 mmol) was dissolved in dry chloroform (30 ml) at 40° C., trimethylamine (165 μL, 119 mmol) was added followed by ethyl 3-chloro-3-oxopropanoate (140 μL, 1.30 mmol). The mixture was stirred for 2 hours, allowed to cool to room temperature and washed with water (3×30 mL). The organic phase was dried using MgSO4 and under vacuum, the crude product was purified by column chromatography (3% methanol in chloroform) to yield the product as a yellowish wax. Yield=314 mg, 0.82 mmol. η=76%. 1H NMR (600 MHz, CDCl3) δ=4.14 (q, J=7.2 Hz, 1H), 4.07 (t, J=6.7 Hz, 1H), 3.30 (s, 2H), 1.61-1.44 (m, 4H), 1.36-1.01 (m, 30H), 1.21 (t, J=7.2 Hz, 6H), 0.81 (t, J=6.8 Hz, 1H). 13C NMR (150 MHz, CDCl3) δ=166.77, 65.84, 61.65, 41.85, 32.10, 29.87, 29.74, 29.68, 29.54, 29.38, 28.63, 25.96, 22.86, 14.28. Mass calc. for C23H44O4=384.32 D, mass found. 386 [M+H+], 408 [M+Na+].
(3S,8S,9S,10R,13R,14S,17R)-10,13-dimethyl-17-((R)-6-methyheptan-2-yl)-2,3,4,7,8,9,10,11,12,13,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthren-3-yl-3-((2-(pyridin-2-yl)-6-(1,2,4,5-tetrahydro-3H-benzo[d]azepin-3-yl)pyrimidin-4-yl)amino)propanoate
GSK-J1 (25 mg, 64.2 μmol) was dissolved in dry chloroform (3 mL), EDC.HCl (16.0 mg, 83.3 μmol) and 4-(dimethylamino)pyridine (2.3 mg, 18.8 μmol) were added and the mixture was stirred for 30 min. Cholesterol (27 mg, 69.8 μmol) was added and the mixture was stirred overnight at room temperature. The mixture was washed with water (3×5 mL) and dried using MgSO4 and under vacuum. The crude product was purified using preparative TLC (6% methanol in chloroform) to yield the product as a white solid. Yield=17.2 mg, 22.7 μmol. η=35%. 1H NMR (600 MHz, CDCl3) δ=8.75 (b, 1H), 8.45 (d, J=7.3, 1H), 7.83 (b, 1H), 7.36 (b, 114), 7.15 (s, 4H), 5.57 (s, 1H), 5.36 (b, 14), 4.64 (m, 1H), 3.95 (b, 4H), 3.63 (q, J=6.2 Hz, 2H), 3.03 (m, 4H), 2.65 (t, J=6.4, 2H), 2.33 (d, J=7.5 Hz, 2H), 2.1-1.0 (m, 26H), 1.01 (s, 3H), 0.92 (d, J=6.5 Hz, 3H), 0.86 (dd, J=6.6, 2.7 Hz, 6H), 0.67 (s, 3H). 13C NMR (150 MHz, CDCl3) δ=171.45, 163.60, 162.45, 161.40, 155.17, 149.88, 140.95, 139.68, 137.02, 130.19, 126.67, 124.83, 123.74, 122.96, 79.68, 74.77, 56.86, 56.31, 50.18, 47.68, 42.49, 39.90, 39.70, 38.29, 37.80, 37.14, 37.07, 36.76, 36.37, 35.97, 34.63, 32.08, 29.90, 28.41, 28.20, 27.96, 24.47, 24.01, 23.02, 22.76, 21.21, 19.48, 18.90, 12.04. Mass calc. for C49H67N5O2=757.53 D, mass found. 758.77 [M+H+], 1516.27 [2M+H+].
octadecyl 3-((2-(pyridin-2-yl)-6-(1,2,4,5-tetrahydro-3H-benzo[d]azepin-3-yl)pyrimidin-4-yl)amino)propanoate
GSK-J1 (20 mg, 51.4 μmol) was dissolved in dry chloroform (3 mL), EDC.HCl (12.8 mg, 66.6 μmol) and 4-(dimethylamino)pyridine (1.8 mg, 14.8 μmol) were added and the mixture was stirred for 30 min. 1-octadecanol (15.4 mg, 66.6 μmol) was added and the mixture was stirred overnight at room temperature. The mixture was washed with water (3×5 mL) and dried using MgSO4 and under vacuum. The crude product was purified using preparative TLC (6% methanol in chloroform) to yield the product as a white solid. Yield=19.3 mg, 30.9 μmol. η=60%. 1H NMR (600 MHz, CDCl3) δ=8.75 (s, 1H), 8.45 (d, J=7.7 Hz, 1H), 7.81 (t, J=7.1 Hz, 1H), 7.35 (b, 1H), 7.15 (s, 4H), 5.55 (s, 1H), 5.42 (b, 1H), 4.10 (t, J=6.8 Hz, 2H), 3.95 (s, 4H), 3.63 (q, J=6.4 Hz, 2H), 3.05-3.00 (m, 4H), 2.66 (t, J=6.6 Hz, 2H), 1.62 (dt, J=14.7, 6.8 Hz, 4H), 1.37-1.13 (m, 28H), 0.88 (t, J=7.0 Hz, 3H). 13C NMR (150 MHz, CDCl3) δ=172.13, 163.74, 162.54, 156.41, 149.39, 141.03, 136.80, 130.17, 126.64, 124.48, 123.60, 120.07, 79.65, 65.29, 47.64, 37.74, 37.09, 34.36, 32.11, 29.89, 29.79, 29.71, 29.55, 29.46, 28.77, 26.11, 22.88, 14.32. Mass calc. for C40H59N5O2=641.47 D, mass found. 642.73 [M+H+].
(S)-2-(4-(4-chlorophenyl)-2,3,9-trimethyl-6H-thieno[3,2-f][1,2,4]triazolo[4,3-a][1,4]diazepin-6-yl)acetic acid
(+)-JQ1 (90 mg, 0.20 mmol) was dissolved in 5% TFA in chloroform (5 mL) and stirred for 16 hours at 40° C. after which the solvent was evaporated. Chloroform (5 mL) was added and evaporated under vacuum, this was repeated twice to yield the product which was used without further characterization. Yield=78 mg, 0.20 mmol. p=>99%.
octadecyl (S)-2-(4-(4-chlorophenyl)-2,3,9-trimethyl-6H-thieno[3,2-f][1,2,4]triazolo[4,3-a][1,4]diazepin-6-yl)acetate
(S)-2-(4-(4-chlorophenyl)-2,3,9-trimethyl-6H-thieno[3,2-f][1,2,4]triazolo[4,3-a][1,4]diazepin-6-yl)acetic acid (78 mg, 0.20 mmol) was dissolved in dry chloroform (5 m), EDC.HCl (45 mg, 0.23 mmol) and 4-(dimethylamino)pyridine (37 mg, 0.30 mmol) were added and the mixture was stirred for 30 minutes. 1-octadecanol (63 mg, 0.23 mmol) was added and the mixture was stirred for 16 hours at room temperature. The mixture was washed with water (3×5 mL) and dried using MgSO4 and under vacuum. The crude product was purified using preparative TLC (6% methanol in chloroform) to yield the product as a white wax. Yield=40 mg, 61 μmol. η=31%. 1H NMR (600 MHz, CDCl3) δ=7.40 (d, J=8.2 Hz, 2H), 7.32 (d, J=8.6 Hz, 2H), 4.60 (m, 1H), 4.16 (t, J=6.7 Hz, 2H), 3.65-3.59 (m, 2H), 2.67 (s, 3H), 2.41 (s, 3H), 1.74 (s, 3H), 1.73-1.62 (m, 2H), 1.39-1.32 (m, 2H), 1.32-1.17 (m, 28H), 0.87 (t, J=6.9 Hz, 3H). 13C NMR (150 MHz, CDCl3) δ=171.87, 163.91, 155.57, 150.05, 136.92, 136.79, 132.45, 131.04, 130.87, 130.54, 130.01, 128.85, 65.15, 53.99, 37.08, 32.11, 29.89, 29.81, 29.75, 29.55, 29.49, 28.85, 26.13, 22.88, 14.60, 14.32, 13.29, 12.06.
Mass calc. for C37H53ClN4O2S=652.36 D, mass found=653.6 [M+H+].
(3S,8S,9S,10R,13R,14S,17R)-10,13-dimethyl-17-((R)-6-methylheptan-2-yl)-2,3,4,7,8,9,10,11,12,13,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthren-3-yl 2-((S)-4-(4-chlorophenyl)-2,3,9-trimethyl-6H-thieno[3,2-f][1,2,4]triazolo[4,3-a][1,4]diazepin-6-yl)acetate
(S)-2-(4-(4-chlorophenyl)-2,3,9-trimethyl-6H-thieno[3,2-f][1,2,4]triazolo[4,3-a][1,4]diazepin-6-yl)acetic acid (75 mg, 0.19 mmol) was dissolved in dry chloroform (5 m), EDC.HCl (50 mg, 0.26 mmol) and 4-(dimethylamino)pyridine (40 mg, 0.33 mmol) were added and the mixture was stirred for 30 minutes. Cholesterol (92 mg, 0.23 mmol) was added and the mixture was stirred for 16 hours at room temperature. The mixture was washed with water (3×5 mL) and dried using MgSO4 and under vacuum. The crude product was purified using preparative TLC (6% methanol in chloroform) to yield the product as a white powder. Yield=30 mg, 39 μmol. P=21%. 1H NMR (600 MHz, CDCl3) δ=7.40 (d, J=8.3 Hz, 2H), 7.32 (d, J=8.6 Hz 2H), 5.36 (d, J=4.1 Hz, 1H), 4.69 (m, 1H), 4.60 (t, 1H), 3.59 (t, J=6.5 Hz, 2H), 2.67 (s, 3H), 2.41 (s, 3H), 2.36 (d, J=6.9 Hz, 2H), 2.1-0.9 (m, 19H), 1.68 (s, 3H), 1.03 (s, 3H), 0.91 (d, J=6.5 Hz, 3H), 0.87 (m, 3H), 0.68 (s, 3H). 13C NMR (150 MHz, CDCl3) δ=171.21, 163.87, 155.58, 150.03, 139.81, 136.91, 136.80, 132.47, 131.02, 130.87, 130.54, 130.00, 128.87, 122.84, 74.70, 56.89, 56.32, 54.08, 50.23, 42.50, 39.93, 39.70, 38.28, 37.29, 37.22, 36.81, 36.37, 35.97, 32.10, 32.03, 29.89, 28.03, 24.47, 24.01, 23.01, 22.75, 21.23, 19.52, 18.91, 14.58, 13.30, 12.05. Mass calc. for C46H61ClN4O2S=768.42 D, mass found=769.82 [M+H+].
Rapamacyin (100 mg, 110 μmol) and vinylstereate (170 mg, 548 μmol) were dissolved in dry toluene (40 mL) and Novozyme 435 (50 mg) was added. The mixture was stirred on a rotavapor at 45° C. for 3 days under mild vacuum. When necessary extra toluene was added. The Novozyme beads were filtered off, the solvent evaporated and the crude product purified using column chromatography (0-6% MeOH in chloroform), to yield the pure product. Yield=108 mg, 89.4 μmol. η=84%. Conversion was monitored by 1H NMR (600 MHz, CDCl3) through monitoring of the signal corresponding to the proton adjacent to the alcohol group being esterified, which is present at 2.73 ppm and 4.67 ppm in the unfunctionalized and functionalized Rapamcyin respectively. Mass calc. for C69H113NO14 1179.82 D, mass found 1131.0 [M-OCH3—H2O], 1149.0 [M-OCH3], 1203.0 [M+Na+] D (A similar fragmentation pattern was observed for unfunctionalized Rapamycin). Purity was further confirmed by HPLC and TLC.
From 10 mg/ml stock solutions in chloroform, 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC, 250 μL), 1-palmitoyl-2-hydroxy-sn-glycero-3-phosphocholine (PHPC, 65 μL), cholesterol (15 μL), tricaprylin (1000 μL) and (pro-)drug (65 μL), were combined in a 20 ml vial and dried under vacuum. The resulting film was redissolved in a acetonitrile:methanol mixture (95%: 5%, 3 mL total volume). Separately, a solution of ApoA-I protein in PBS (0.1 mg/ml) was prepared. Using a microfluidic set-up, both solutions were simultaneously injected into a herringbone mixer, with a flow rate of 0.75 ml/min for the lipid solution and a rate of 6 ml/min for the ApoA-I solution. The obtained solution was concentrated by centrifugal filtration using a 100 MWCO Vivaspin tube at 4000 rpm to obtain a volume of 5 mL. PBS (5 mL) was added and the solution was concentrated to 5 mL, again PBS (5 mL) was added and the solution was concentrated to approximately 3 mL. The remaining solution was filtered through a 0.22 μm PES syringe filter to obtain the final nanobiologic solution. To obtain nanobiologics for FACS measurements, 3,3′-Dioactadecyloxacarbocyanine perchlorate (DIO-Cis, 0.25 mg) was added to the acetonitrile solution. To obtain nanobiologics for 89Zr labeling, DSPE-DFO (50 μg) was added to the acetonitrile solution (made in house). To scale up the nanobiologic synthesis the above procedure was simply repeated until sufficient amounts were produced.
For the PF-4708671 drug (an S6K1i) less than 1% drug recovery was observed using the above procedure, likely due to its high solubility in water and acetonitrile. To still be able to incorporate this drug in our nanobiologic library, it was integrated using a sonication method. Here, an identical lipid and drug film was formed by drying an acetonitrile solution. To this film PBS (10 mL) containing ApoA-I (2.4 mg) was added and the solution was sonicated in a bath sonicator for 5 minutes. Subsequently, the obtained suspension was sonicated for 30 minutes at 0° C. using a tip sonicator. The obtained clear solution was purified using the same Vivaspin and syringe filter procedure as for the nanobiologics made by microfluidics.
For the synthesis of the 15 nm sized nanoparticles a similar microfluidic procedure as for the 35 nm sized particles was used. Here, the acetonitrile mixture contained (again from 10 mg/ml stock solutions): POPC (250 μL), PHPC (15 μL), Cholesterol (13 μL). The acetonitrile solution was injected with a rate of 0.75 mL/min. The ApoA-I solution (0.1 mg/mL in PBS) was injected with 3 mL/min. To obtain nanobiologics for FACS measurements, DIO-Cis (0.25 mg) was added to the acetonitrile solution. To obtain nanobiologics for 89Zr labeling, DSPE-DFO (50 μg) was added to the acetonitrile solution.
For the synthesis of the 65 nm sized nanoparticles a similar microfluidic procedure as for the 35 nm sized particles was used. Here, the acetonitrile mixture contained (again from 10 mg/ml stock solutions): POPC (250 μl), Cholesterol (12 μL), Tricaprylin (1400 μL). The acetonitrile solution was injected with a rate of 0.75 m/min. The ApoA-I solution (0.1 mg/ml in PBS) was injected with 4 m/min. To obtain nanobiologics for FACS measurements, DIO-C18 (0.25 mg) of was added to the acetonitrile solution. To obtain nanobiologics for 89Zr labeling, DSPE-DFO (50 μg) was added to the acetonitrile solution.
For the synthesis of the 120 nm sized nanoparticles a similar microfluidic procedure as for the 35 nm sized particles was used. Here, the acetonitrile mixture contained (again from 10 mg/ml stock solutions): POPC (100 μl), Cholesterol (10 μL), Tricaprylin (4000 μL). The acetonitrile solution was injected with a rate of 0.75 mL/min. The ApoA-I solution (0.1 mg/ml in PBS) was injected with 1.5 mL/min. To obtain nanobiologics for FACS measurements, DIO-Cis (0.25 mg) of was added to the acetonitrile solution. To obtain nanobiologics for 89Zr labeling, DSPE-DFO (50 μg) was added to the acetonitrile solution.
An aliquot (10 μL) of the final particle solution was dissolved in PBS (1 mL), filtered through a 0.22 μm PES syringe filter and analyzed by DLS to determine the mean of the number average size distribution. Samples were analyzed directly after synthesis of the particles as well as 2, 4, 6, 8, 10 days afterwards.
(Pro-)drug recovery and hydrolysis were determined using the following procedure: an aliquot (200 μL) of the particle solution was dried under vacuum, acetonitrile (600 μL) was added and the suspension was sonicated for 20 minutes. The suspension was centrifuged to precipitate any solids and the remaining solution was analyzed using HPLC; except for the malonate derivatives which were analyzed using SFC-MS, and Dimethylmalonate which was analyzed by GC-MS.
The ApoA-I recovery was determined spectroscopically using the Bradfort assay. The nanobiologic solution (10 μL) and calibration solutions (bare ApoA-I in PBS) were placed in a 96-well plate, Bradfort reagent (150 μL) was added and the mixture was incubated at room temperature for 5 minutes after which the absorbance at 544 nm was measured. The average ApoA-recovery for two different batches of each type of nanobiologic is plotted. All calibration and analyte samples were prepared in duplicate.
Samples for Zeta potential analysis were prepared by dissolving an aliquot (50 μL) of the final particle solution in MilliQ water (1 mL) and filtering this through a 0.22 μm PES syringe filter. All samples were analyzed in triplicate.
To compare the stability of the nanobiologics under in vivo-like conditions, the nanoparticles were dialyzed in fetal bovine serum at 37° C. The particle solution (0.5 mL) was placed in a 10 kDa dialysis bag, which was suspended in fetal bovine serum (45 mL) at 37° C. At predetermined time points (0, 15, 30, 60, 120, 360 minutes after synthesis) an aliquot (50 μL) was taken from the dialysis bag. The aliquots were dried under vacuum, acetonitrile (100 μL) was added and the solution was sonicated for 20 minutes, after which the remaining suspension was centrifuged and analyzed by HPLC. The dialysis experiments were performed in duplicate using the same batch of nanobiologics. The obtained kinetic data was fitted using a bi-exponential decay after outliers were removed (depicted in red, 5 out of 144 datapoints) and subsequently normalized using the Y-axis intercept of the fit. In some cases, significant amounts of hydrolysis products were observed. Such hydrolyzed (pro-)drugs were assumed to have already leaked out of the nanobiologic, although not yet diffused out of the dialysis bag. For this reason, they were not included in our calculations of the amount of drug retained in the nanobiologics over time.
Referring now to
In a non-limiting example, radiopharmaceutical labeling of trained immunity inhibitor drugs/molecules can be achieved through various types of chelators, primarily deferroxamine B (DFO) which can form a stable chelate with 89Zr through the 3 hydroxamate groups. Generally, phospholipids are conjugated with a chelator compound, the nanobiologic is prepared with the promoter drug or molecule, and finally, the radioisotope is complexed with the nanobiologic (that already has the chelator attached).
This protocol teaches the modular radiolabeling of nanobiologic compositions described herein with 89Zr. This protocol includes the synthesis of DSPE-DFO, obtained through reaction of the phospholipid DSPE and an isothiocyanate derivative of the chelator DFO (p-NCS-Bz-DFO), its formulation into nanobiologics, and nanoemulsions, and the subsequent radiolabeling of these nanoformulations with 89Zr.
The radioisotope 89Zr was chosen due to its 3.3-day physical decay half-life, which eliminates the need for a nearby cyclotron and allows studying agents that slowly clear from the body, such as antibodies. Although both are contemplated as workable herein, 89Zr's relatively low positron energy allows a higher imaging resolution compared to other isotopes, such as 124I.
The 89Zr labeling of our nanotherapeutics enables non-invasive study of in vivo behavior by positron emission tomography (PET) imaging in patients.
The protocol includes the following steps: Conjugation of the chelator deferoxamine B (DFO) to the phospholipid DSPE, to thereby form a lipophilic chelator (DSPE-DFO) that readily integrates in different lipid nanoparticle platforms (˜0.5 wt %);
Preparation of nanoscale assembly formulations (using sonication, nanoemulsions using hot dripping, or using microfluidics) that have DSPE-DFO incorporated; and
Labeling of DSPE-DFO containing lipid nanoparticles with 89Zr, performed by mixing the nanoparticles for 30-60 minutes with 89Zr-oxalate at pH-7 and 30-40° C. in PBS.
Additionally, purification and characterization methods may be used to obtain radiochemically pure 89Zr-labeled lipid nanoparticles. Purification may typically be performed using either centrifugal filtration or a PD-10 desalting column, and subsequently assessed using size exclusion radio-HPLC. Typically, the radiochemical yield is >80%, and radiochemical purities >95% are normally obtained.
General imaging strategies are used to study 89Zr-labeled nanobiologic in vivo behavior by PET/CT or PET/MRI.
The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein may be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Like numbers refer to like elements throughout. As used herein the term “and/or” includes any and all combinations of one or more of the associated listed items.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the full scope of the invention. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Unless defined otherwise, all technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art. Nothing in this disclosure is to be construed as an admission that the embodiments described in this disclosure are not entitled to antedate such disclosure by virtue of prior invention. As used in this document, the term “comprising” means “including, but not limited to.”
Many modifications and variations can be made without departing from its spirit and scope, as will be apparent to those skilled in the art. Functionally equivalent methods and apparatuses within the scope of the disclosure, in addition to those enumerated herein, will be apparent to those skilled in the art from the foregoing descriptions. Such modifications and variations are intended to fall within the scope of the appended claims. The present disclosure is to be limited only by the terms of the appended claims, along with the full scope of equivalents to which such claims are entitled. It is to be understood that this disclosure is not limited to particular methods, reagents, compounds, compositions or biological systems, which can, of course, vary. It is also to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.
With respect to the use of substantially any plural and/or singular terms herein, those having skill in the art can translate from the plural to the singular and/or from the singular to the plural as is appropriate to the context and/or application. The various singular/plural permutations may be expressly set forth herein for sake of clarity.
It will be understood by those within the art that, in general, terms used herein, and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” etc.). It will be further understood by those within the art that virtually any disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms.
For example, the phrase “A or B” will be understood to include the possibilities of “A” or “B” or “A and B.”
In addition, where features or aspects of the disclosure are described in terms of Markush groups, those skilled in the art will recognize that the disclosure is also thereby described in terms of any individual member or subgroup of members of the Markush group.
As will be understood by one skilled in the art, for any and all purposes, such as in terms of providing a written description, all ranges disclosed herein also encompass any and all possible subranges and combinations of subranges thereof. Any listed range can be easily recognized as sufficiently describing and enabling the same range being broken down into at least equal subparts. As will be understood by one skilled in the art, a range includes each individual member.
Various of the above-disclosed and other features and functions, or alternatives thereof, may be combined into many other different systems or applications. Various presently unforeseen or unanticipated alternatives, modifications, variations or improvements therein may be subsequently made by those skilled in the art, each of which is also intended to be encompassed by the disclosed embodiments.
Having described embodiments for the invention herein, it is noted that modifications and variations can be made by persons skilled in the art in light of the above teachings. It is therefore to be understood that changes may be made in the particular embodiments of the invention disclosed which are within the scope and spirit of the invention as defined by the appended claims. Having thus described the invention with the details and particularity required by the patent laws, what is claimed and desired protected by Letters Patent is set forth in the appended claims.
This application is a continuation and claims priority benefit under 35 USC 365(c) to international application PCT/US18/61939 filed Nov. 20, 2018, which claims priority benefit to U.S. patent application 62/588,790 filed Nov. 20, 2017 and U.S. patent application 62/734,664 filed Sep. 21, 2018, the entirety of which are all incorporated herein by reference.
This invention was made with government support under grant R01 HL118440 awarded by the National Institutes of Health. The government has certain rights in the invention.
| Number | Date | Country | |
|---|---|---|---|
| 62588790 | Nov 2017 | US | |
| 62734664 | Sep 2018 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | PCT/US18/61939 | Nov 2018 | US |
| Child | 16863333 | US |
