TOPICAL SKIN COMPOSITIONS HAVING PROTEINS AND METHODS OF USE

Abstract
There is provided a topical skin composition directed to one or more desired benefits. The composition includes one or more proteins selected based on the desired skin benefit to be derived by application of the topical skin composition. In one embodiment, each protein is from one donor group having two or more individuals. In another embodiment, the protein is from two or more donor group.
Description
BACKGROUND OF THE DISCLOSURE

1. Field of the Disclosure


The present disclosure relates to a determination of protein production levels in cultured fibroblast from human dermal tissue samples. The present disclosure also relates to a determination of protein production levels in cultured fibroblast supernatant from human dermal tissue samples from different ethnic populations through protein microarray performance. The present disclosure further relates to analyzing protein microarray performance to understand protein production levels that are present and unique in each ethnic group. Proteins can be blended together in a product that imparts one or more desired characteristics to the skin of a recipient who is not a source of the mixture and any individual fibroblasts, hereinafter a non-autologous product.


2. Description of the Related Art


The growth of eukaryotic cells is modulated by various influences, of which growth factors are among the most important. Factors which inhibit growth also exist. Growth factors have mitogenic effects on a range of cells. These mitogens stimulate the growth and activation of various cell types, including fibroblasts (which produce collagen and elastin precursors, and ground substance) and epithelial cells (e.g. skin cells or keratinocytes).


One primary function of a fibroblast is to maintain the structural integrity of connective tissues by continuously secreting precursors of the extracellular matrix. A fibroblast secretes precursors of all components of the extracellular matrix, primarily the ground substance and a variety of fibers or structural proteins. The fibroblasts also secrete small molecular weight diffusible factors that influence and coordinate the function and product of neighboring cells to enhance tissue response. The composition of the extracellular matrix significantly determines the physical properties of connective tissues.


Known in the art are methods of treatment using autologous fibroblasts (i.e. fibroblast obtained from a donor who will also be the recipient of cultured fibroblasts). Among the known uses of such fibroblasts are a method of promoting healing of wounds, such as an epithelial wound or fistula, by administering cultured fibroblasts; a method of corrective surgery by the augmentation of tissue sub-adjacent to a vocal cord defect; and a method of treatment of vocal fold scarring and repair of skin and soft tissue defects.


Also known in the art are dosage units consisting of autologous fibroblasts grown for an individual who is also the donor. Further, there are known methods of growing fibroblasts for use in autologous applications.


Applicants of the present application have filed an earlier patent application directed to a non-autologous product that is a homogeneous or heterogeneous mixture of two or more fibroblasts cultures, extracts derived therefrom, and/or diffusible elements recovered from the culture media from the same sex. It was believed that each mixture of homogeneous and/or heterogeneous fibroblasts cultures or extracts therefrom, from the same sex, can have “weighted” factors based on the characteristics desired to be obtained by the mixture and, thus, the resultant product could be tailored for certain objectives. The resultant product based on weighted factors and/or tailoring could be a product for one ethnic group, or could combine factors from two or more ethnic groups for a resultant product that would have product benefits that are universal. The mechanism to achieve these products were based on a belief that certain proteins or enzymes are more prevalent or unique or inherent from people of certain ethnic groups and thus a blending of factors in an ethnic group or a blend of factors from two or more ethnic groups would achieve the optimum product. Heretofore, there was a need to better understand what proteins and levels thereof are clearly different in each ethic group and, if so, how different.


SUMMARY OF THE DISCLOSURE

The present disclosure provides a determination of protein production levels in cultured fibroblast supernatant from human dermal tissue samples from different ethnic populations using a protein microarray.


The present disclosure also provides for protein microarray analysis to understand differences in protein production levels in an ethnic group and/or between or amongst two or more ethnic groups.


The present disclosure further provides analysis of relative measurements of protein production levels, interactions, and/or functions, to determine what proteins or cells or factors, can be blended together, from a single ethnic group, or two or more ethnic groups, to formulate a product that imparts desired characteristics or benefits to the skin of a recipient who is not a source of the mixture or any individual fibroblasts, so that the product is defined as a non-autologous product.


The present disclosure still further provides that based on the knowledge of the measurement of the relationship of protein levels, interactions, and/or functions in an ethnic group, as well as between or amongst two or more ethnic groups, methods of optimizing the potency or potential of the proteins in a mixture to impart the desired characteristics to the recipient's skin can be achieved.


The present disclosure also provides that such measured proteins can lead to the derivation of a homogeneous and/or heterogeneous mixture that is based on the characteristics desired to be obtained to produce the desired characteristics in a resultant product.


The present disclosure further provides that different resultant products can be made with each resultant product directed to enhance, modulate, or treat one or more desired characteristics of the user of the composition of the present disclosure.


The present disclosure also provides that Biological Significance demonstrated a majority of proteins met the criteria in at least one ethnic group.


The present disclosure further provides that there are uniquely altered proteins, which is Biologically Significant proteins.


The present disclosure shows that there are average production level changes relative to control in all three groups.


The present disclosure provides a topical composition to treat a targeted skin disorder based on a desired benefit or treatment.


The present disclosure also shows that according to statistical significance, the Asian skin demonstrated the largest number or amount of protein production levels altered/dysregulated/varied relative to African skin, and the second largest amount of protein production levels altered/dysregulated/varied relative to Caucasian skin, while the least amount of protein production levels altered/dysregulated/varied was African skin relative to Caucasian skin.





BRIEF DESCRIPTION OF THE DRAWINGS

The patent or application file contains at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee.



FIG. 1 is a concept map describing various embodiments of the present disclosure.



FIG. 2 shows an exemplary process for producing the embodiments of the present disclosure.



FIG. 3 shows an overall protein network expressed for the African and Asian groups.



FIG. 4 shows an overall protein network expressed for the Caucasian and Asian groups.



FIG. 5 shows an overall protein network expressed for the Caucasian and African groups.



FIG. 6 is a pie chart of a Caucasian to African interpretation of top-50 biological processes.



FIG. 7 is a pie chart of an African to Asian interpretation of top-50 biological processes.



FIG. 8 is a pie chart of a Caucasian to Asian interpretation of top-50 biological processes.



FIG. 9 shows an overall protein network expressed for the African to Asian groups relating to a wound healing process.



FIG. 10 shows an overall protein network expressed for the Caucasian to Asian groups relating to an immune system process.



FIG. 11 shows an overall protein network expressed for the Caucasian to African groups relating to an immune system process.



FIG. 12 shows several Venn Diagrams comparing the differential gene expression among the Caucasian, African, and Asian ethnic groups.





DESCRIPTION OF THE PREFERRED EMBODIMENTS

As used herein, the term “homogeneous” means the use of fibroblast cultures obtained from donors (of the same-sex) who constitute a group whose bloodlines are 80% or greater of a single race or ethnicity, preferably 90% or greater, more preferably 95% or greater, and most preferably essentially 100%. Thus, a fibroblast culture obtained from a homogeneous set of donors (of the same-sex), such as a group of: Asian women, African women, Caucasian women, Asian men, African men, or Caucasian men, are from a single source or ethnic group or ethnic subgroup. Mixed-sex combinations are also envisioned.


The term “heterogeneous” as used herein means the use of non-ethnic homogeneity fibroblasts, such as fibroblasts obtained from same-sex, but a combination of two from different groups or sources, such as, for example, a group of: African women and Asian women, African women and Caucasian women, or Asian women and Caucasian women, Asian women and Caucasian women and African women, African men and Asian men, African men and Caucasian men, Asian men and Caucasian men, or Asian men and Caucasian men and African men. Although discussed with respect to three ethnic groups, the present disclosure provides for many more ethnic groups and subgroups so that the heterogenous mixtures can be a blend or combination of four or more ethnic groups or subgroups. Mixed-sex combinations are also envisioned.


Biological Significance or Biologically Significant means greater than a twofold increase/decrease relative to a comparator sample or a Control.


Unique is defined herein as Biologically Significant in only one group relative to a comparator sample or a Control.


A donor, as used herein, is an individual from whom cells are obtained for culturing to derive the product of the present disclosure. The donors are either male or female, or both. A donor is selected for having a desired benefit or characteristic or combination of skin characteristics.


A Caucasian donor is defined as an individual of northern European descent, whose grandparents and great-grand parents are known to have genetic roots from the area. It is envisioned that a Caucasian donor group can be further subdivided into, for example, Latin European, Hispanic European, Anglo-Saxon European, and Slavic.


An African donor is defined as an individual of sub-Saharan descent, whose grandparents and great-grandparents are known to have genetic roots from the area. It is envisioned that an African donor group can be further subdivided, including, but not limited to, West African, and East African.


An Asian donor is defined as an individual of Asian descent, or subgroups thereof including, for example: northern and southern Asia. Moreover, Asian donor group can be subdivided into; China, Japan, and Korea subgroups. An Asian donor is one whose grandparents and great-grandparents are known to have genetic roots from the area.


A donor is preferably screened for disease. Also, premature aging due to environmental conditions, such as free radical generating, namely sun and higher neoplasms, as well as premature aging due to smoking, should be eliminated from the donor “pool”.


A donor preferably has a bloodline that is 80% or greater of a single race or ethnicity, preferably 90% or greater, more preferably 95% or greater, and most preferably essentially 100%.


A donor is preferably of a young age since their skin and fibroblasts are at an optimal state of life. Such an age range can vary based on ethnicity. It is believed that the preferred age range is from 18 to 35, more preferably 18 to 30 years of age. However, it is envisioned that the age range can have a lower limit, as low as permitted by applicable law where the donor resides and where the biopsy occurs.


In contrast, a recipient is an individual having skin onto which the product of the present disclosure is applied or administered, and preferably skin with one or more of the skin conditions discussed herein. A recipient is not a source of the product, mixture, or any individual fibroblasts, and thus is not subject the same scrutiny discussed above for a donor. A recipient derives the benefit or characteristic or combination of skin characteristics as discussed herein.


A Caucasian recipient is defined as an individual who self-identifies as being genetically most identified as having European genetic background and typically present with Fitzpatrick skin types I-IV.


An African recipient is defined as an individual who self-identifies as being genetically most identified as having sub-Saharan genetic background and typically present with Fitzpatrick skin types IV-VI.


An Asian recipient is defined as an individual self-identifies as being genetically identified as having Asian genetic background and typically present with Fitzpatrick skin types III-V.


The following terms used in this application (“as used herein”) are defined as follows. Skin pigmentation means skin color imparted by the deposition of various melanin pigments in the skin. Skin pigmentation includes hyper-pigmentation, hypo-pigmentation, de-pigmentation, and uneven pigmentation. Hyper-pigmentation means areas of uneven pigmentation where portions of the skin appear darker or more pigmented than the common or background color. Hypo-pigmentation means areas of uneven pigmentation where portions of the skin appear lighter or less pigmented than the common or background. De-pigmentation means skin devoid of melanin pigment. Uneven pigmentation means areas of the skin with mixed or mottled pigmentation, and a random or non-contiguous pattern of normal and hypo and hyper pigmentation.


As used herein, wound healing means the ability of the skin to self-direct and regulate its own repair under the influence of locally produced and disseminated proteins, cells that comprise the dermal matrix, and other biological or cellular molecules. Cells that comprise the dermal matrix include fibroblast, blood vessel endothelial cells, blood cells (neutrophils and lymphocytes), lymphatic cells, macrophages, and mast cells. A wound can be acute or chronic. Acute means that the wound heals quickly on its own. Chronic means that the wound heals slowly and often requiring treatment.


As used herein, inflammation means the response of skin to an internal or external stimulus that may or may not cause explicit visual injury. Once initiated, the response to the stimulus is inflammation. It is controlled or regulated by locally produced proteins.


Inflammation includes reduction and prevention. As used herein, reduction means the limiting the cascade of proteins that are pro-inflammatory. This also includes the process of reversing the effects of inflammation. As used herein, prevention means the use of biologic molecules to reverse, without visual effect on the surface of the skin, the effects of internal or external (environmental) insults that may induce pro-inflammatory cascades of biological proteins and other cellular products.


As used herein, dermal matrix means the mix of one or more collagen, elastin, hyaluronic acid, proteoglycans, and other macromolecules that creates the reticular or basement layer of the dermis. Dermal matrix includes wrinkles, aging, scarring and thinning.


These following terms used in this application are defined as. Wrinkles means the uneven surface of the skin caused by sub-sufficient levels of moisture in the epidermis or damage to the reticular dermis often caused by internal or external inflammatory stimulus. Pre-mature aging means the appearance of the surface of skin marked by wrinkles, sagging, uneven pigmentation and/or superficial blood vessel damage, making the appearance of age to appear older than the chronological age of the individual. Scarring means the response to severe injury of the skin in which the deposition of collagen and other dermal macromolecules produce an uneven surface that makes it distinctly differentiated from the surrounding skin. Thinning means the reduced capacity of the skin to fully repair and regenerate resulting in a reduced depth and density of the dermal and epidermal layers of the skin.


As used herein, scar prevention means reduction of the healing process that allows abnormal amounts of collagen to be deposited in a random, not basket weave, pattern that typifies the surrounding or undamaged skin. Scar prevention includes prevention of a keloid scar, a hypertrophic scar, an atrophic scar, a contracting scar, a hyper-pigmented scar, and a hypo-pigmented scar. As used herein, keloid scar is a form of hypertrophic scarring in which the excessive production of collagen continues to grow indefinitely into large raised lesions that extend outside the area of the initial wound. As used herein, a hypertrophic scar is a scar resulting from the overproduction and deposition of collagen during the healing of a serious wound that results in the resulting scar to be raised over the surface of the surrounding skin. As used herein, atrophic scar is a scar that has an appearance that is depressed below the surface of the surrounding skin. Atrophic scar is typically caused by an inflammatory process that damages the surrounding support tissue. As used herein, hyper-pigmented scar is a scar with a degree of pigmentation that is higher or darker than the surrounding skin. As used herein, hypo-pigmented scar is a scar with a degree of pigmentation that is less or lighter than the surrounding skin.


As used herein, epidermis means the layer of the skin that covers the body and forms a protective membrane, layer, or covering over the body. The epidermis includes a layer known as the stratum corneum. The epidermis has significant role in immunity, and contains the melanin pigment that determines skin color. Epidermis includes pores, skin texture and barrier function. As used herein, a pore is an anatomical structure of the skin created by the sebaceous follicle, and serves as a duct for passage of sweat and/or sebum. A pore appears as an unfilled or filled opening in the surface of the skin. As used herein, skin texture means the normal topography and glyphic pattern apparent on the surface of the skin. Skin texture is influenced by the perceived moisture level, softness, resilience, and elasticity of the skin. As used herein, barrier function means the ability of the skin to regulate: the degree of moisture permeability, the protection from external (environmental) insults, and the immune functions protecting the skin and underlying tissues and structure.


As used herein, up regulated means increase in normalized gene expression, and/or protein production in a given cell line/type or individual relative to a control sample or a cell line/type standard, or a baseline value of an individual from an earlier time point or prior to treatment.


As used herein, down regulated means decrease in normalized gene expression, and/or protein production in a given cell line/type or individual relative to a control sample or a cell line/type standard, or a baseline value of an individual from an earlier time point or prior to treatment.


The use of fibroblast cell cultures, coculture of cells, extracts from cells or cultures, diffusible elements that form the cell culture, or culture media, either alone or with environmental conditions, are used to grow cells and induce the cells to produce their array of biologically active elements. These elements are produced by and secreted by or extracted from the cells. These cells, cultures, coculture of cells, diffusible elements form the cell culture and culture media.


Referring to FIG. 1, the present disclosure provides a product generally represented by reference numeral 1000 that modifies cellular communication at a skin site to stimulate the production of new tissues. Specifically, the present disclosure provides a composition having proteins obtained from one or more donors, and formulating a topical product to stimulate gene expression. Specifically, the proteins can be derived from fibroblasts, cells, cocultures, cultures, diffusible elements that form the cell culture, and culture media and/or elements. For example, fibroblasts can grow and form a new, provisional extracellular matrix (ECM) by excreting collagen and fibronectin (collectively hereinafter called tissue cultures). The proteins derived from any of the above are the subject of the present disclosure. Proteins from cell signaling pathways can modulate the ‘behavior’ of fibroblasts including proliferation and migration, and this aspect is also the subject of the present disclosure.


For each embodiment of the present disclosure, recipient 400 of product 1000 is not a source or donor of the cell mixture or any individual fibroblast. Thus, recipient 400 of the proteins is not the same person whose cells were used to produce the proteins so that application to recipient 400 of the derived product 1000 is “non-autologous”.


In the present disclosure, product 400 is directed to treat a condition or provide a benefit that recipient 400 desires.


In product 1000, the proteins are blended together. However, each product 1000 is intended for a specific sex, namely women or men, so that only proteins from one sex are blended together.


The present disclosure provides a topical composition to treat a targeted skin disorder based on a desired benefit or desired characteristic. Some desired benefits or characteristics that have been found by the studies of the present disclosure are to prevent, reduce, and/or reverse visual signs of aged or prematurely aged skin (hereinafter collectively called “skin and related benefits”). Such skin and related benefits include, but are not limited to, improve or normalize pigmentation; improved barrier function; improve dermal matrix; improve the epidermis or skin quality; facilitate wound healing; minimize or prevent scarring; reduce or eliminate inflammation; treat wrinkles, stretch marks, sagging skin, scars such as surgical, traumatic, acne or chickenpox scars.


The derived products are a blend of proteins derived from certain donors, and will result in a product composition that achieves desired benefits including those benefits set forth above. The present disclosure has now proven by the studies of the present disclosure that demonstrate that certain ethnic donors have certain genes that are up-regulated gene expressions, and others that are down-regulated gene expression, and yet others that are neither.


The present disclosure contemplates that product 1000 can be either a homogenous product 200 or a heterogenous product 300.


Homogenous products 200 will first be described.


In one embodiment, homogenous product 200 is a product that has proteins derived from tissue cultures solely from a single ethnic group, such as, for example, female Asian donors 210. Analogously, in another embodiment, homogenous product 200 is derived from tissue cultures obtained solely from a group of male Asian donors 210. Likewise, homogenous product 200 is derived from tissue cultures obtained from a mixed group of male and female Asian donors 210.


In still another embodiment, homogenous product 200 is derived from tissue cultures obtained solely from a group of female African donors 220. In yet another embodiment, homogenous product 200 is derived from tissue cultures obtained solely from a group of male African donors 220. Analogously, homogenous product 200 is derived from tissue cultures obtained from a mixed group of male and female African donors 220.


In a further embodiment, homogenous product 200 is derived from tissue cultures obtained solely from a group of female Caucasian donors 230. In yet further embodiment, homogenous product 200 is derived from tissue cultures obtained solely from a group of male Caucasian donors 230. In a still yet further embodiment, homogenous product 200 is derived from tissue cultures obtained solely from a mixed group of male and female Caucasian donors 230.


Other donors 290 could also form the basis of homogenous product 200, consistent with this disclosure.


Also, it should be understood that recipient 400 can be from the same ethnic group as the donor ethnic group in homogenous product 200 or from another ethnic group, yet the product is still considered a homogenous product.


Heterogenous products 300 will now be described.


In one embodiment, heterogenous product 300 is derived from tissue cultures obtained from two or more ethnic groups. For example, one heterogenous product 300 is derived from a group 340 of female Asian and female Caucasian donors. In another embodiment, heterogenous product 300 is derived from tissue cultures obtained from a group 340 of male Asian and male Caucasian donors. Additionally, heterogenous product 300 is derived from tissue cultures obtained from a group 340 of male Asian and female Caucasian donors, or a group 340 of female Asian and male Caucasian donors, or a mixed group 340 of male and female Asian and male and female Caucasian donors.


In another embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 350 of female Asian and female African donors. In yet another embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 350 of male Asian and male African donors. Still further, heterogenous product 300 is derived from tissue cultures obtained solely from a group 350 of male Asian and female African donors, or heterogenous product 300 is derived from tissue cultures obtained solely from a group 350 of female Asian and male African donors, or heterogenous product 300 is derived from tissue cultures obtained from a mixed group 350 of male or female Asian and male or female African donors.


In a further embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 360 of female Caucasian and female African donors. In yet another embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 360 of male Caucasian and male African donors. In a still further embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 360 of male Caucasian and female African donors, a group 360 of female Caucasian and male African donors, or a mixed group 360 of male and female Caucasian and male and female African donors.


In a still yet further embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 370 of female Caucasian and female African and female Asian donors. In another embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 370 of male Caucasian and male African and male Asian donors. In another embodiment, heterogenous product 300 is derived from tissue cultures obtained solely from a group 370 of male Caucasian and male African and male Asian donors.


Other groups 380 of donors could also form the basis of heterogenous product 300, consistent with this disclosure.


The homogenous and heterogenous embodiments discussed above and further herein are exemplary and non-limiting, and the scope of the present disclosure will be apparent to a person having ordinary skill in the art upon understanding the present disclosure.


Homogenous product 200 and heterogenous product 300 are products that are targeted to have a desired effect imparted to the skin of recipient 400.


These targeted products are shown in FIG. 1 (as species of product 1000), with targeted homogenous products represented by a 200-series numeral and targeted heterogenous products represented by a 300-series numeral. Thus, the targeted products contemplated by the present disclosure include, at least, pigmentation 215, 315, epidermis 225, 325, wound healing 235, 335, dermal matrix 245, 345, scar prevention 255, 355, and inflammation 265, 365. Further, the proof of concept and details for the composition of such targeted products are established by the studies discussed herein.


As discussed, targeted products 215, 315, 225, 335, 245, 345, 255, 355, 265, and 365 are for an intended recipient, such as recipient 400. Recipient 400 is a female or male Asian 410, a female or male African 420, a female or male Caucasian 430, or a female or male of another ethnic origin, other 480.


As discussed in the present disclosure, the selection and weighting of cell culture proteins for product 1000 can be predicated on the particular property or pigment or other characteristic desired to be improved or imparted to the skin of recipient 400. Thus, a selection of donors of a single ethnic group, or groups of donors of different ethnic groups, and a “weighted” composition to achieve a resultant product that delivers at least one property, preferably to the skin, is possible. Moreover, one property can be improved on any person (of any ethnic background) that uses product 1000.


Thus, the data set forth herein concerning the differences in certain protein expression levels and their Biological Significance makes it clear that mixtures of homogeneous and/or heterogeneous tissue or fibroblast cultures can also be “tailored” to provide a specific desirable skin benefit or characteristic or combination of skin characteristics. Thus, “tailoring” can include a larger percentage of fibroblast cultures or derived proteins from one homogeneous group or amongst donors of the heterogeneous group. The “tailoring” can include more of one ethnic group than another ethnic group. Further, the “tailoring” can include consideration of factors based on the characteristics (noted above) desired to be obtained by the mixture. The factors include, but are not limited to, age, DNA testing, ethnic homogeneity, health, and physical beauty. For example, physical beauty could be determined by adherence to classic beauty as described by the golden ratio of physical or physiological proportions, or other similar derivations or approximations using a Fibonacci series.


What the data clearly shows is the ability to determine what fibroblasts or cells (and as stated above) of different donors in an ethnic group or different donors in different ethnic groups can be mixed to obtain the desired characteristics. This can be done at the protein level. Accordingly, the discussion herein is directed to the benefits or characteristics or combination of skin characteristics derived from proteins, and preferably derived from fibroblast cells or cell cultures of a donor to a recipient by means of a product.



FIG. 2 is exemplary, and is by no means exhaustive, of the present disclosure. In practice, a master cell bank will be created for each individual donor in donor groups 210, 220, 230, 340, 350, 360, 370, 380, and 290.


In one example of a homogenous product 200, master cell banks 510 and 520 are created for individual donors 212 and 214 of donor group 210, respectively. A working cell bank is 610 is derived therefrom by mixing the cells produced from master cell banks 510 and 520. Homogenous product 200 of Asian donors 210 is formulated from working cell bank 610. A targeted product, such as pigmentation 215, is then derived from homogenous product 200 for a recipient 400.


In another example for a heterogeneous product 300, a master cell bank 520 is created for an individual donor 214 of donor group 210, and master cell banks 530 and 540 are created for each of individual donor 232 and 234 of donor group 230, respectively. Cells produced from master cell banks 520, 530 and 540 are blended together in a working cell bank 630. Since donor 214 is Asian, and donors 232 and 234 are Caucasian, heterogenous product 300 is created. A targeted product, such as pigmentation or pigmentation enhancing product 315 can then derived from heterogenous product 300 for recipient 400.


Product 1000 is a topical composition. The preferred topical composition is a cream, serum, or lotion. The composition can include delivery vehicles, such as liposomes and micelles. The composition can also include transport molecules, such as a protein or a macromolecule that promotes or provides molecular sledding. The use of such transport molecules enables delivery of the elements to the epidermis or dermis of a recipient. However, the composition can be parental (e.g. injectable, intravenous, or the like), delivered by device (e.g. laser, micron needle, inhaler, or the like), or an oral periodontal including a mouthwash.


The compositions comprise, in some embodiments, a pharmaceutically and/or topically acceptable vehicle to provide bulk and physical form. In other embodiments, the vehicle is hypoallergenic, as allergens and other irritating agents exacerbate pigmentation. Suitable vehicles for these benefits include, but are not limited to, cetyl alcohol, ethanol, glycerin, myristyl palmitate, polyvinyl alcohol, propylene glycol, propanol, and water, and mixtures thereof.


The topical composition can be easily prepared in any method known in the art, using the proteins herein together with at least one carrier and additives, which are commonly used in the field of preparing topical compositions. Examples of topical agents include emollients, humectants, colorants, pigments, fragrances, moisturizers, viscosity modifiers and any other topical forming agent. One or more topical agents can be included in the topical composition. The form of the topical composition can be a powder, lotion, gel, spray, stick cream, ointment, liquid, emulsion, or foam. Additional active ingredients as known in the art may also be used. Examples of the carriers may include, but are not limited to, a skin softener, a skin permeation enhancer, a colorant, an aromatic, an emulsifier, a thickener, and a solvent. Also, the topical composition may further comprise a perfumery, a pigment, a bactericidal agent, an antioxidant, a preservative and a moisturizer, and also a thickener, inorganic salts and synthetic polymer substances, for the purpose of improving physical properties.


Lists of such materials, and formulations for the creation of particular types of lotions, creams, and other such forms are widely available in the patent literature and in commercial handbooks and can be used by those skilled in the preparation of such formulations to incorporate the composition herein.


In one example, the cream or Product 1000 can be prepared by adding the composition to a general oil-in-water (O/W) cream base. The cream may further comprise a perfumery, a chelating agent, a pigment, an antioxidant, and a preservative, and also synthetic or natural materials, minerals, and vitamins, for the purpose of improving physical properties.


Product 1000 can have other biologically compatible constituents in addition to the proteins discussed above. These constituents can include one or more antioxidants, polypeptides, vitamins, plant extracts, materials derived from plant stem cells, oils, preservatives, thickening agents, ceramides, skin lighteners, exfoliants, anti-aging and anti-wrinkle agents, sunscreens, skin barrier repair agents, moisturizing ingredients, essential fatty acids, humectants, emollients, solvents, surfactants, emulsifiers, fillers, polymers, buffers, temperature regulating agents, and the like, and combinations thereof.


These constituents can comprise the delivery vehicle in the topical product. It is envisioned that the vehicle can include water. Further, the vehicle will be up to 99 wt. % of the resultant product.


It is envisioned that all the cells in the epidermis and dermis (including sub dermis) can be impacted by a topical formulation. Certain delivery vehicles can have an impact even deeper than the sub dermis.


The present disclosure has proven that proteins derived from working cell bank 610 or 630 applied in a composition to the skin of recipient 400 can have one or more of the specific effects discussed below.


In one mechanism of the embodiments of the present disclosure, the protein itself can be absorbed and utilized directly. For example, collagen can be deposited through the skin to be used as matrix structural glycoprotein or other macromolecular ground substance. Alternately MMP-1 can be absorbed to degrade collagen.


In another mechanism of the embodiments of the present disclosure, the protein can stimulate future gene expression changes. For example, cells detecting excessive amounts of deposited/delivered pro-inflammatory proteins may stimulate anti-inflammatory gene responses. It may also create a positive feedback loop that can ‘supercharge’ more pro-inflammatory protein production. Alternatively, it can bind a specific membrane site and initiate a second messenger response by activating gene or protein synthesis.


In yet another mechanism of the embodiments of the present disclosure, a protein can bind to active sites or cellular receptors. This can either halt a process by tying up all available cellular machinery or cause conformational changes in the cells and/or cellular network.


In still another mechanism of the embodiments of the present disclosure, tProtein can be broken down and subsequent components can be utilized to fuel skin/cellular process.


In yet still another mechanism of the embodiments of the present disclosure, tProtein can be used to replace “non-functional” or “mutated” proteins and restore proper cellular function/processes. Yet further, tProtein can also replace “functional” with “mutated/nonfunctional” or variant proteins.


The present disclosure contemplated different combinations and applications of the embodiments discussed herein.


TYK2 directly regulates IL-22 dependent inflammation and epidermal hyperplasia. TYK2 deficiency has multiple effects leading to reduced immune response and increased infection (viral and mycobacterial). The Asian population has reduced levels of TYK2. Thus, supplementation of TYK2 protein from African cells (who produce greater amounts of TYK2 than the other groups) could boost immune response and/or lower infection rates. Such a formulation or composition can include proteins derived from African donor group 220 in a homogenous product, or proteins derived from Caucasian and African donor group 360.


Asian skin has lower amounts of GDF3 that is a negative regulator of TGFB, which is pro-fibrotic. Application of African and/or Caucasian GDF3 can assist to decrease the rate/amount of scarring or keloid formation. Such a formulation or composition would thus include cells derived from donors of African donors 220 and Caucasian donors 230 in a homogenous product 200, or Caucasian and African donors 360, in a heterogeneous product 300.


Asian skin demonstrates a lower concentration of Visfatin enzyme, which is anti-fibrotic. Supplementation of this enzyme could decrease scarring, keloid formation and/or psoriasis. Thus, a targeted product or composition would include cells derived from donors of African donors 220 and Caucasian donors 230 in a homogenous product 200, or Caucasian and African donors 360, in a heterogeneous product 300.


Asian skin has lower levels of VitaminK1 which when applied topically can suppress pigmentation and improve wound healing. Addition of Caucasian VITK1 could function as a pigment lightener. A targeted product or composition 300 would have cells derived from donors of donors 230 in a homogenous product 200 and cells derived from donors of Caucasian and African donors 360.


In one embodiment, to treat an Asian recipient for the epidermis, a product 1000 has TSH. A homogeneous product 200 is derived from African donors 220. A heterogeneous product 300 is derived from Caucasian and African donors 360. Heterogeneous product 300 has a ratio of African Donors to Caucasian donors that is about 50% African Donors to 50% Caucasian donors, 60% African Donors to 40% Caucasian donors, 70% African Donors to 30% Caucasian donors, 80% African Donors to 20% Caucasian donors or 90% African Donors to 10% Caucasian donors. About in this paragraph means plus or minus 8%, preferably plus or minus 5%, and most preferably, plus or minus 3%, the total not exceeding 100%.


In another embodiment, to treat an Asian recipient for skin pigmentation, a product 1000 has Vitamin K1. A homogeneous product 200 is derived from Caucasian donors 230.


Caucasian skin produces more EDAR protein, which contributes to dryness and eczema through sebaceous gland interaction. Application of EDAR might be a potential treatment for oily skin. A targeted product or composition would have cells derived from donors of donors 230 in a homogenous product 200. Another targeted product or composition 300 would have cells derived from donors of Caucasian and Asian donors 340, or Caucasian and Asian and African donors 370.


Other formulation components and considerations for product 1000 are contemplated. For anti-Scarring, Follistatin, MMP7, MMP1, GDF3, Visfatin, TPA, Vasopressin, MMP10, and Pro-MMP13 are the potential proteins that when applied directly in some combination(s) have been shown to be direct components in scar and/or keloid formation. Thus, a target product would have proteins from a particular ethnic group in which these proteins are expressed, either up-regulated or down regulated based on the desired effect.


Likewise, for wound healing, the proteins TYR10, RBP4, uPA, bFGF, MMP7, IL24, Latent TGFB1, TPA, TPM1, Thrombin, IL-19, MMP8, MBL, NM23-H1/H2, NOV/CCN3, IL6, PYK2, Pro-MMP13 are considered important. Accordingly, a target product would have proteins from a particular ethnic group or groups in which these proteins are expressed, based on the desired effects.


Thus, a target product would have proteins from a particular ethnic group in which these proteins are expressed as set forth below.


For skin pigmentation, the proteins SHBG, DTK, GDNF, and Vitamin K dependent protein have been found to have a positive remedial effect.


For anti-Inflammatory effects, IL28A, Follistatin, MMP8, FIH, SERPINA12, and SSTR2 are useful.


For anti-aging effects, the effective proteins are NRG2, Kallikrein 6, RBP4, bFGF, Kallikrein 14, Kallikrein 8, Latent TGFB1, VDUP1, INSL3, Thrombin, Trappin-2/Elafin, GRP75, PARK7, Mammaglobin A, TMEFF1/Tomoregulin1.


Anti-Oxidant Enzymes include A1M and GPX3.


An anti-aging/wrinkles formulation has one or more of: RBP4, bFGF, Latent TGFB1, INSL3, Trappin-2, GRP75, PARK7, Mammaglobin A, TMEFF1/Tomoregulin1, A1M, and GPX3.


These proteins have certain benefits. For example, RBP4 is the main carrier of retinol. bFGF stimulates the growth of fibroblasts. Latent TGFB1 stimulates elastic fiber production. INSL3 reduces skin wrinkling, enhance skin appearance and improve barrier function. Trappin-2 facilitates inhibition of elastin breakdown. GRP75 prevents wrinkles and supports collagen production. PARK7 stimulates Glycation repair. Mammaglobin is a boosts barrier function. TMEFF1/Tomoregulin1 inhibit BMP signaling and generally exhibit anti-aging properties. Al M is a radical scavenger and heme binder. GPX3 is an anti-oxidant.


An anti-scarring formulation could have Follistatin. Follistatin is an activin antagonist that is anti-fibrotic and anti-inflammatory. Alternatively, or in combination, such an anti-scarring formulation could have Visfatin, which is an anti-fibrotic via enhancing inflammatory response. MMP1, MMP7, MMP10, and MMP13 assist extracellular matrix remodeling and degradation of structural components of skin. TPA has a role in wound healing and is anti-fibrotic.


A pigment lightening formulation could include SHBG. With age and decreased estrogen levels, SHBG decreases. This can lead to higher testosterone levels and pigment dyschromia as well as unwanted facial hair.


A pigment lightening formulation could also have Vitamin K dependent protein S for suppression of pigmentation.


A wound healing formulation could include: TYRO10, RBP4, uPA, bFGF, MMP1, MMP7, MMP8, Latent TGFB1, TPA, TPM1, Thrombin, IL19, NM23-H1/H2, NOV/CCN3, IL6, and PYK2.


TYRO10 mediates fibroblast migration and contributes to cutaneous wound healing. RBP4 is a main carrier of Retinol. uPA is a plasminogen activator that is a key regulator of wound healing processes. bFGF stimulates growth of fibroblasts. MMP1, MMP7, MMP8 facilitate the matrix remodeling, which is a phase of wound healing. Latent TGFB1 stimulates elastic fiber production. TPA is a plasminogen activator, has a role in wound healing, and is anti-fibrotic. TPM1 facilitates cell migration during the wound healing process. Thrombin mediates fibroblast proliferation. IL19 promotes wound healing by increasing other growth factor expression (KGF). NM23-H1/H2 is implicated in wound healing. NOV/CCN3 effects NOTCH1 mediated signaling that helps wound healing process. IL6 is required for normal wound healing. PYK2 promotes re-epithelialization.


It is envisioned that product 1000 will be proportioned based on ratios of differential protein expressions. In some embodiments, formulation methods involve a 2 to 1 to 1 ratio of a first protein to second protein to a third protein C. Further, product 1000 has a concentration or an amount of 0.0001 weight percent (wt %) to 10.0 wt % of the actives (or proteins), preferably 0.001 wt. % to 5.0 wt. %, and most preferably, 0.001 wt. % to 1.0 wt. %, based on the total weight of the product composition.


The method of application of the product to the skin will be by any topical application method known in the art. It is envisioned that the application will be administered once daily. However, it is also envisioned that the application can be twice daily if the desired benefit, such as scar healing, will tolerate repeated applications in a day. Also, the recommend number of applications per day and the period of time of application will vary based on the desired benefits of the product that will be imparted to the recipient.


Further, it is envisioned that the application of the product can continue for prolong periods of time.


Different embodiments of product 1000 can be used sequentially, mirroring the phases of wound healing. For example, a first embodiment of product 1000 that is anti-inflammatory is administered at a first time. At a second time, a second embodiment of product 1000 that is anti-hyperpigmentation is administered. At a third time, a third embodiment of product 1000 that is anti-scarring is administered.


For acute injuries, it is desirable to begin treatment as quickly as possible after the injury occurs. For example, to treat an acute injury such as a sunburn, an thermal burn, an abrasion, a traumatic injury or an elective procedure such as a laser treatment or surgical incision for Asian skin, Asian 410, at the first time, product 1000 is formulated to have IL28A, at the second time, product 1000 is formulated to have Vitamin K, and at the third time, product 1000 is formulated to have GDF3.


More specifically, frequent treatment for an initial healing phase (typically 1-10 days), up to 3 or more times per day, is desirable for the formulations of product 1000 that accelerate wound healing.


After the initial healing phase or re-epithelialization occurs treatment with product 1000 can change to 1-2 times per day using a formulation of product 1000 that reduce inflammations, reduce abnormal pigmentations, reduces risk of hypertrophic or atrophic scarring. For this second phase, administering to the skin can be in a single two or three in one combination of the product 1000 or alternating in the AM and PM with single or two in one combinations of product 1000. This second phase could continue typically for one to four (or more) weeks. In some cases, to prevent hyperpigmentation or prevent scarring, this second phase can continue for months or longer. Preferably, an anti-inflammatory product 1000 would cease to be administered after four weeks.


It is also envisioned that recipient 400 can be treated with a product 1000 before an elective procedure to minimize the risk of abnormal pigmentation. Treatment can be one to four weeks prior to the elective procedures. Specifically, a product 1000 formulated for wound healing will prepare the skin to heal faster. Such a product 1000 would include tretinoin and application would be daily for one to two weeks prior to the elective procedure.


Besides the targeted products discussed herein, additional products can focus or have properties that derive the following desired particular property or characteristics that include, but is not limited to, accelerating wound healing, improving, reducing or improving stretch marks, reducing bruising, improving sebum production, hair growth, enhancing or modulating skin firmness or smoothness, the appearance of skin, the beauty of skin, more fullness of the skin, skin tone, skin elasticity, reduced scarring, reduced wrinkles, reduced pore size, response to inflammatory stimulus, minimizing bruising, ability to retain moisture, propensity to produce new vasculature and deliver nutrients and skin thickness or density, improve response to injury or free-radical damage, reduced scarring, improved wound healing, skin disease prevention, or combination of positive skin characteristics that will be apparent to those of skill in the art. Also, the present disclosure can be used to treat ‘damaged’ skin from environmental damage, aging or disease. Further, the present disclosure can be used in veterinary applications. The present disclosure can be used as adjunctive care for treatment of skin diseases including but not limited to acne, atopic dermatitis, rosacea and psoriasis.


It is envisioned that although discussed with respect to skin, the present disclosure applies to nails, and hair. For example, the nail plate, the hard part of the nail, made of translucent keratin protein, undergoes bio-processes analogous to the skin. Likewise, hair is a protein filament that grows from follicles in the skin, and is primarily comprised of protein, and notably keratin.


The present disclosure also applies to a commercial production of an artificial gene that can be tailored to specific needs. An envisioned exemplary technique follows. Techniques include sequencing of proteins or DNA from desirable genes or gene products or complete synthetic construction of de novo gene sequences. Once a desired double stranded DNA sequence has been identified, combination into plasmid vectors with appropriate coding and non-coding sectors, as well as promotor sequences, can occur. For example, the DNA sequence can be inserted into compatible bacteria and used as factories for replication of RNA or protein product. Sequence optimization and oligo design occurs first, followed by oligo synthesis, gene assembly, sequence verification and error correction, and finally preparation of synthetic DNA for application.


As stated above, the present disclosure describes testing and analysis to determine protein production levels in cultured fibroblast supernatant from human dermal tissue samples from three (3) different ethnic populations through protein microarray performance.


Example 1

An assay was performed in which six (6) samples of cell culture supernatant from healthy volunteers that satisfied the ethnic ancestry requirements from each of the three (3) ethnic skin groups (Asian, African, Caucasian/European) and one concentrated media control were examined for differing protein production levels (for 1,000 human proteins) as measured by protein microarrays (AAH-BLM-1000, RayBiotech, Norcross; Ga.). The volunteers were female and ranged in age from 18 to 30 years. Although females were selected, it is believed similar results would be obtained if males were selected as volunteers, or combinations thereof. The following is an explanation of the microarray process performed by RayBiotech. The first step in using the Human L-1000 arrays is to biotinylate the primary amine of the proteins in the sample. The membrane arrays are then blocked in a fashion similar to standard Western blot, and the biotin-labeled sample is added onto the pre-printed array. The array is pre-printed with capture antibodies specific to a target protein and the proteins in the sample bind with the antibodies on the array during the incubation period. After incubation using an HRP-Conjugated Streptavidin, the signal can be visualized by chemiluminescent methods and quantified. Images of the arrays are generated and analyzed for strength of signal.


The following is an analysis of the results.


The samples were accounted for as follows. Nineteen (19) samples arrived, de-identified and coded to the testing facility. All samples performed within manufacturer's limitations and data tables and array images were generated.


Data was derived including array Images. Individual images of each sample array following completion by coded identification number (sample groups are designated by prefix: As=Asian, Af=African, and Ca=Caucasian). The amount of produced protein can be visualized through the size and density of the spot generated on the array. Each array has the same proteins in the same locations for ease of visual reference.


The following are Data Tables.


Table 1 is a list of average production levels for each sample ethnic group for all proteins on the protein microarray (AAH-BLM-1000). An Asterisk (“*”) marks protein levels indicating Biological Significance (greater than a twofold increase/decrease relative to comparator sample; in this case, the Control=conditioned media). The three sample groups were As=Asian, Af=African, and Ca=Caucasian.














TABLE 1







CON-
AS
AF
CA



TROL
Average
Average
Average




















Positive
68,183.33
68,097.33
68,097.33
68,183.33


Control


Neg
924.62
718.07
600.39
837.75


6Ckine
129.67
1.04*
87.80
156.30


Activin A
162.69
1.04*
26.95*
252.29


Activin B
184.35
1.04*
134.33
387.17*


Activin C
319.16
41.87*
275.53
982.78*


Activin
301.83
78.60*
370.14
898.16*


RIA/ALK-2


Activin
177.85
55.59*
328.09
814.56*


RIB/ALK-4


Activin
318.07
132.49*
613.17
962.78*


RII A/B


Activin
390.62
51.76*
582.13
997.10*


RIIA


Adiponectin/
746.32
166.10*
892.57
1,626.73*


Acrp30


AgRP
448.55
157.54*
590.86
941.67*


ALCAM
501.07
138.10*
523.27
778.31


Angiogenin
397.66
262.88
492.45
815.27*


Angiopoietin-1
1,187.56
635.44
889.09
1,739.25


Angiopoietin-2
709.50
378.18
472.85
1,406.26


Angiopoietin-4
685.14
249.09*
400.68
1,302.65


Angiopoietin-
842.69
259.31*
477.29
1,500.64


like 1


Angiopoietin-
710.59
590.06*
711.49
1,438.05


like 2


Angiopoietin-
627.21
116.81*
361.17
996.98


like Factor


Angiostatin
1,071.70
216.87*
711.23
1,343.92


APJ
536.26
11.82*
184.92*
403.49


AR
661.86
37.18*
223.18*
441.40


(Amphiregulin)


APRIL
823.74
116.65*
326.49*
812.58


Artemin
557.37
199.55*
66.39*
393.26


Axl
628.84
272.47*
85.71*
400.63


B7-1/CD80
801.54
228.52*
16.48*
449.74


BAFF R/
648.33
107.81*
1.01*
617.99


TNFRSF13C


BCMA/
1.08
67.49*
208.10*
194.35*


TNFRSF17


BD-1
129.12
65.17
382.42*
402.77*


BDNF
339.73
75.17*
613.54
834.53*


beta-Catenin
158.36
56.20*
273.78
391.54*


BAX
90.68
552.02*
357.12*
759.17*


beta-NGF
199.51
358.85*
478.62*
897.43*


BIK
5,551.78
7,225.66
9,648.28
14,321.51*


BLC/BCA-1/
330.52
557.36
909.49*
1,321.99*


CXCL13


BMP-2
331.61
244.58
621.09
1,045.93*


BMP-3
612.05
409.46
862.35
1,394.85*


BMP-3b/
450.17
304.92
575.64
916.69*


GDF-10


BMP-4
492.40
466.21
819.89
1,234.96*


BMP-5
352.72
442.04
607.76
911.57*


BMP-6
699.76
767.21
1,230.53
1,785.35*


BMP-7
500.52
425.00
642.05
925.88


BMP-8
522.18
269.31
594.91
975.93


BMP-15
609.35
89.63*
531.69
768.08


BMPR-IA/
803.71
201.22*
685.58
865.25


ALK-3


BMPR-IB/
812.91
126.71*
614.33
753.41


ALK-6


BMPR-II
679.19
122.46*
506.20
587.06


BTC
643.99
99.02*
385.47
319.45*


Cardiotrophin-
679.19
52.57*
330.43*
721.03


1/CT-1


CCL14/
482.66
74.14*
187.07*
236.13*


HCC-1/


HCC-3


CCL28/VIC
491.86
23.82*
1,115.09*
743.42


CCR1
642.91
38.55*
369.10
357.10


CCR2
560.62
43.11*
297.77
324.95


CCR3
245.52
21.27*
275.09
319.12


CCR4
181.10
221.30
159.21
306.58


CCR5
71.19
143.29*
192.98*
313.52*


CCR6
111.26
122.49
321.72*
660.49*


CCR7
437.72
452.52
841.57
1,092.91*


CCR8
1,018.10
598.45
1,257.90
1,677.89


CCR9
352.72
211.93
720.76*
746.79*


CD14
175.14
181.90
426.88*
590.71*


CD27/
119.92
239.53
468.66*
828.46*


TNFRSF7


CD30/
111.26
272.19*
446.20*
489.25*


TNFRSF8


CD30 Ligand/
438.80
597.57
908.21*
1,295.22*


TNFSF8


CD40/
262.85
484.17
672.82*
904.00*


TNFRSF5


CD40 Ligand/
659.15
710.35
1,131.54
1,455.18*


TNFSF5/CD154


CD 163
944.47
1,775.95
2,269.77*
3,457.06*


Cerberus 1
551.42
844.48
784.21
1,473.97*


Chem R23
457.75
689.12
680.21
1,006.74*


Chordin-Like 1
755.52
760.62
918.92
1,233.52


Chordin-Like 2
609.35
683.02
931.67
1,299.52*


Csk
2,524.28
3,252.64
5,507.31*
5,510.66*


CLC
497.82
539.58
763.91
990.60


CNTF
719.25
653.90
1,577.91*
1,661.29*


CNTF R alpha
1,247.11
897.87
1,679.58
2,264.41


Coagulation
538.96
435.74
693.02
747.54


Factor III/


Tissue Factor


CRIM 1
815.08
527.66
766.91
819.49


Cripto-1
581.73
291.49
497.48
510.38


CRTH-2
658.07
175.22*
475.55
488.39


Cryptic
584.98
161.00*
470.95
550.17


CTACK/CCL27
871.38
440.23
903.29
1,020.30


CTGF/CCN2
433.93
178.17*
445.48
270.78


CTLA-4/CD152
419.31
165.58*
588.91
228.33


CV-2/
108.01
18.99*
450.71*
45.32*


Crossveinless-2


CXCL14/BRAK
687.85
730.98
662.88
799.70


CXCL16
44.67
293.17*
389.68*
380.72*


CXCR1/IL-8 RA
353.26
382.73
735.14*
658.46


CXCR2/IL-8 RB
328.90
485.84
763.62*
696.30*


CXCR3
300.21
318.38
588.38
438.89


CXCR4 (fusin)
353.26
393.13
1,955.26*
615.73


CXCR5/BLR-1
465.33
310.15
650.04
650.99


CXCR6
438.26
431.89
748.94
1,253.17*


D6
216.83
435.25*
652.24*
453.43*


DAN
686.77
1,597.31*
2,464.56*
2,888.04*


DANCE
454.51
511.09
737.37
709.65


DcR3/
622.34
927.20
1,286.49*
1,462.71*


TNFRSF6B


Decorin
461.00
1,900.72*
4,089.23*
3,161.92*


Dkk-1
609.89
2,836.46*
3,118.77*
3,029.36*


Dkk-3
863.26
6,466.27*
5,277.86*
6,745.95*


Dkk-4
754.44
853.57
1,099.56
1,228.59


DR3/
620.17
520.59
812.51
874.13


TNFRSF25


DR6/
617.47
587.92
1,141.45
1,039.20


TNFRSF21


Dtk
732.24
1,115.96
2,856.32*
3,481.06*


EDA-A2
813.45
45,352.87*
86,934.18*
102,337.42*


EDAR
578.49
1,715.75*
2,752.31*
3,558.44*


EDG-1
753.36
517.24
1,101.42
980.91


EGF
1,057.08
804.21
1,455.25
1,379.46


EGF R/
596.89
572.81
829.08
668.71


ErbB1


EG-VEGF/
967.75
477.34*
889.30
782.98


PK1


EMAP-II
595.81
282.08
724.99
537.13


ENA-78
559.54
334.91
801.05
403.78


Endocan
671.61
1,233.80
1,919.73*
1,631.78*


Endoglin/
511.35
348.01
878.27
333.41


CD105


Endostatin
1,248.20
2,031.72
3,492.62*
2,175.26


EN-RAGE
515.14
635.45
620.78
729.35


Eotaxin/
1,498.32
559.22*
563.75*
583.23*


CCL11


Eotaxin-2/
397.66
545.51
578.71
525.92


MPIF-2


Eotaxin-3/
272.05
475.03
437.37
499.31


CCL26


Epiregulin
510.81
956.19
710.28
1,017.19


ErbB2
516.22
687.68
643.10
779.11


ErbB3
568.20
505.73
557.91
902.36


ErbB4
710.59
929.88
961.35
1,377.37


Erythro-
1,011.61
1,328.05
1,363.61
1,787.40


poietin


E-Selectin
434.47
621.02
822.96
766.18


Endothelin
4,035.32
3,698.55
3,500.99
6,526.71


FADD
471.83
861.06
1,015.13*
1,006.16*


FAM3B
1,191.89
2,408.77*
2,220.45
2,201.66


Fas/
659.15
963.98
1,126.12
1,045.59


TNFRSF6


Fas Ligand
869.22
1,041.61
1,047.34
1,297.45


FGF Basic
892.50
913.25
1,070.88
1,014.87


FGF-BP
812.91
743.57
822.53
862.25


FGF R3
837.82
896.54
921.54
922.49


FGF R4
717.63
823.16
1,041.09
1,105.28


FGF R5
674.85
1,554.38*
2,334.15*
2,276.60*


FGF-4
742.53
693.36
992.91
945.37


FGF-5
795.05
569.83
1,207.66
857.43


FGF-6
690.01
533.12
1,219.22
783.20


FGF-7/KGF
698.68
419.83
974.20
663.87


FGF-8
684.06
268.04*
928.30
562.73


FGF-9
688.93
356.72
1,032.44
707.72


FGF-10/
664.03
364.21
928.11
859.52


KGF-2


FGF-11
858.93
452.56
1,027.67
590.53


FGF-12
568.20
313.15
918.76
531.95


FGF-13 1B
713.84
333.88
1,055.18
604.71


FGF-16
760.94
1,063.44
628.74
929.24


FGF-17
792.88
881.75
898.80
1,133.31


FGF-18
327.28
542.26
452.27
506.29


FGF-19
409.57
560.82
496.34
503.71


FGF-20
482.66
624.20
715.54
588.27


FGF-21
559.54
687.95
780.45
752.21


FGF-23
1,106.89
1,228.41
1,178.19
1,927.55


FLRG
654.82
470.54
657.76
907.18


Flt-3 Ligand
561.70
580.12
786.25
588.98


Follistatin
1,096.61
1,517.05
1,970.24
2,259.23*


Follistatin-like 1
3,372.11
2,632.57
3,143.13
5,471.44


Fractalkine
601.77
725.25
970.37
855.59


Frizzled-1
634.79
1,193.13
1,234.68
1,294.11


Frizzled-3
702.47
927.29
1,281.45
1,096.65


Frizzled-4
813.45
936.57
1,105.16
1,098.27


Frizzled-5
1,000.24
976.11
1,221.93
1,295.82


Frizzled-6
814.54
752.23
923.13
857.59


Frizzled-7
875.71
726.64
837.95
704.22


Galectin-3
935.27
1,214.96
1,576.53
1,065.51


GASP-1/
863.26
774.45
1,194.13
1,008.42


WFIKKNRP


GASP-2/
949.89
588.74
1,026.76
728.60


WFIKKN


GCP-2/CXCL6
791.26
438.11
1,088.36
624.91


GCSF
828.61
332.82*
921.43
491.36


G-CSF R/
1,033.26
354.90*
1,141.81
590.72


CD 114


GDF1
1,111.76
483.82*
1,610.55
823.26


GDF3
3,578.92
4,531.00
11,028.23*
8,524.73*


GDF5
1,168.07
1,085.02
2,955.55*
1,591.81


GDF8
709.50
438.75
1,003.97
528.23


GDF9
1,021.89
550.33
1,530.81
969.54


GDF11
782.05
326.46*
1,788.77*
916.98


GDF-15
1,169.15
1,695.58
1,474.42
1,852.05


GDNF
852.43
1,048.30
855.87
1,229.68


GFR alpha-1
706.26
806.45
782.02
893.06


GFR alpha-2
486.99
791.81
890.19
984.65*


GFR alpha-3
773.93
1,090.87
1,645.07*
1,332.54


GFR alpha-4
600.14
717.99
873.03
1,197.73


GITR/TNFRF18
579.57
672.36
834.29
1,503.39*


GITR Ligand/
684.60
830.03
1,169.62
2,155.31*


TNFSF18


Glucagon
750.11
668.12
861.19
889.11


Glut1
734.95
669.05
831.57
841.10


Glut2
963.42
1,011.25
1,528.02
1,533.56


Glut3
718.71
841.86
1,552.83*
1,146.30


Glut5
823.74
1,037.65
1,527.07
1,228.58


Glypican 3
5,638.95
8,992.11
15,523.37*
15,039.53*


Glypican 5
1,064.12
1,177.50
2,206.01*
1,877.10


GM-CSF
942.31
776.65
1,291.47
1,212.68


GM-CSF R alpha
1,122.05
807.13
1,555.05
1,316.34


Granzyme A
950.43
798.26
1,362.27
1,141.08


GREMLIN
3,976.85
3,596.94
6,204.15
6,163.27


GRO
874.63
756.08
1,429.54
932.18


GRO-a
842.15
427.97
1,064.41
683.69


Growth Hormone
1,610.39
818.75
1,920.17
1,539.95


(GH)


Growth Hormone
1,234.12
875.68
1,958.46
1,421.15


R (GHR)


HB-EGF
933.64
496.70
1,334.73
851.17


HCC-4/CCL16
1,837.24
938.99
1,451.66
1,266.74


HCR/CRAM-A/B
1,137.75
611.82
1,456.60
963.83


Hepassocin
1,105.81
527.18*
1,257.02
939.06


GLO-1
948.80
377.68*
954.76
689.95


HGF
768.52
307.61*
987.65
536.86


HGFR
860.01
257.00*
1,025.92
280.02


HRG-alpha/
878.42
1,668.37
675.14
1,100.20


NRG1-alpha


HRG-beta 1/
992.66
1,820.68
1,078.54
1,636.71


NRG1-beta 1


HVEM/
814.54
1,446.50
954.58
1,290.55


TNFRSF14


I-309
751.19
1,100.69
905.79
1,023.92


ICAM-1
858.39
1,142.13
1,189.69
1,381.08


ICAM-2
1,928.19
3,678.69
3,997.86*
4,048.00*


ICAM-3 (CD50)
597.43
815.45
847.23
3,273.74*


ICAM-5
680.81
853.84
996.91
3,453.60*


IFN-alpha/
760.94
822.80
980.25
1,248.04


beta R1


IFN-alpha/
743.07
943.90
1,274.51
1,106.74


beta R2


IFN-beta
767.43
946.59
1,351.76
985.88


IFN-gamma
784.22
938.59
1,450.03
1,107.31


IFN-gamma R1
1,054.38
1,213.84
1,667.96
1,360.48


IGFBP-1
1,446.89
1,990.44
2,757.24
2,804.42


IGFBP-2
1,230.33
11,164.80*
22,591.35*
23,988.15*


IGFBP-3
1,211.38
4,239.29*
5,899.29*
7,880.22*


IGFBP-4
1,045.17
1,306.00
2,071.58
1,725.43


IGFBP-6
1,520.52
2,899.78
4,019.98*
4,500.41*


IGFBP-rp1/
11,808.74
76,254.45*
90,204.78*
94,029.81*


IGFBP-7


IGF-I
1,396.00
2,727.98
3,375.51*
3,317.66*


IGF-I SR
1,114.47
698.60
1,327.13
1,320.74


IGF-II
1,063.04
691.36
1,447.24
1,306.61


IGF-II R
1,063.04
761.02
1,690.45
1,400.97


IL-1 alpha
851.89
470.82
892.28
962.01


IL-1 beta
998.61
483.09*
915.40
780.48


IL-1 F5/
998.61
538.11
1,032.52
908.99


FIL1delta


IL-1 F6/FIL1
1,609.85
1,150.85
2,492.58
2,461.83


epsilon


IL-1 F7/FIL1
1,202.18
598.54*
1,232.35
1,262.28


zeta


IL-1 F8/FIL1
1,098.23
599.85
1,113.49
931.43


eta


IL-1 F9/
1,138.83
483.57*
1,141.34
719.34


IL-1 H1


IL-1 F10/
871.38
1,635.97
1,270.14
1,312.48


IL-1HY2


IL-1 R3/
823.20
1,955.99
865.40
995.25


IL-1 R AcP


IL-1 R4/ST2
1,274.73
2,118.88
1,817.45
1,822.67


IL-1 R6/
898.45
1,525.80
978.33
1,154.15


IL-1 Rrp2


IL-1 R8
1,002.94
1,332.27
1,107.02
1,556.52


IL-1 R9
1,022.43
1,167.67
1,206.69
2,452.64*


IL-1 ra
1,111.22
1,200.55
1,430.59
3,565.28*


IL-1 sRI
821.03
1,025.90
1,353.87
4,205.60*


IL-1 sRII
874.63
1,253.81
1,732.58
1,719.92


IL-2
887.08
1,210.26
1,539.61
1,469.06


IL-2 R alpha
859.47
1,427.19
2,055.22*
2,053.81*


IL-2 R beta/
772.85
1,432.81
1,731.74*
1,822.64*


CD122


IL-2 R gamma
979.66
1,440.19
1,602.61
1,821.47


IL-3
1,118.26
1,818.82
1,971.30
2,369.44*


IL-3 R alpha
982.37
1,837.07
2,077.86*
2,169.15*


IL-4
1,123.68
1,557.32
1,772.86
1,757.93


IL-4 R
3,284.40
2,700.92
3,384.74
4,704.27


IL-5
1,240.08
1,682.21
2,004.37
2,070.95


IL-5 R alpha
1,489.12
3,137.10*
3,075.82*
3,982.92*


IL-6
978.04
1,502.19
1,930.21
2,591.63*


IL-6 R
1,025.68
866.20
1,630.12
1,619.06


IL-7
1,214.63
942.45
1,551.42
1,707.75


IL-7 R alpha
1,212.46
1,221.60
1,899.36
1,908.75


IL-8
1,300.71
836.08
1,193.16
1,494.92


IL-9
995.90
708.33
1,137.45
1,018.95


IL-10
1,135.04
677.63
1,044.99
1,018.25


IL-10 R alpha
1,062.50
710.57
1,132.07
1,058.13


IL-10 R beta
1,111.76
605.73
986.08
886.46


IL-11
1,251.99
699.67
1,003.71
959.33


IL-12 p40
1,555.17
859.87
1,676.54
1,090.19


IL-12 p70
1,191.89
1,424.88
1,556.92
1,681.00


IL-12 R beta 1
1,076.57
1,411.21
1,352.07
1,740.12


IL-12 R beta 2
2,022.94
4,457.84*
6,617.74*
7,987.21*


IL-13
2,448.48
2,611.50
2,626.23
4,435.29


IL-13 R alpha 1
930.40
1,270.79
1,345.81
1,593.24


IL-13 R alpha 2
892.50
1,314.15
1,352.48
1,931.95*


IL-15
921.73
1,288.79
1,317.45
1,713.47


IL-15 R alpha
1,080.90
1,586.74
1,575.32
2,851.23*


IL-16
1,167.53
1,581.88
1,486.05
1,967.21


IL-17
1,481.54
1,530.49
1,458.11
2,146.07


IL-17B
1,593.61
1,771.99
1,664.38
2,534.18


IL-17B R
1,605.52
1,572.19
1,524.19
2,281.38


IL-17C
1,988.83
1,797.99
1,902.92
2,841.57


IL-17D
1,481.54
1,287.88
1,303.66
1,806.32


IL-17E
1,305.04
1,355.70
1,397.57
1,925.20


IL-17F
1,136.67
986.78
1,134.73
1,391.13


IL-17R
1,126.92
1,097.36
1,530.86
1,771.58


IL-17RC
2,280.65
2,719.20
4,631.07*
5,247.83*


IL-17RD
1,538.93
2,293.43
2,337.81
3,481.11*


IL-18 BPa
1,312.08
996.32
1,569.63
1,678.07


IL-18 R alpha/
1,191.35
879.37
1,461.92
1,427.80


IL-1 R5


IL-18 R beta/
1,242.78
917.24
1,163.68
1,338.43


AcPL


IL-19
1,488.58
1,048.58
1,678.47
1,749.11


IL-20
1,178.36
744.74
1,053.19
1,074.57


IL-20 R alpha
1,506.99
906.17
1,358.78
1,365.94


IL-20 R beta
1,235.20
863.38
1,775.17
1,189.55


IL-21
991.57
1,359.62
1,013.24
1,326.37


IL-21 R
845.94
1,251.77
1,101.00
1,313.91


IL-22
873.55
1,188.37
1,224.95
1,631.76


IL-22 BP
823.74
1,009.44
1,078.76
1,465.05


IL-22 R
783.13
994.00
917.09
1,365.21


IL-23
1,063.58
1,488.63
1,315.07
2,084.62


IL-23 R
876.80
1,333.15
1,135.22
1,674.62


IL-24
1,015.40
1,464.60
1,190.86
1,896.41


IL-26
1,270.94
1,529.58
1,263.03
2,256.14


IL-27
1,355.94
1,651.98
1,476.52
2,472.08


IL-28A
1,259.57
1,388.22
1,146.49
1,986.92


IL-29
1,473.42
1,478.44
1,255.22
2,577.44


IL-31
1,153.45
960.07
925.66
1,633.63


IL-31 RA
1,146.41
1,002.13
909.86
1,459.91


BACE-1
1,196.22
1,108.51
1,040.26
1,572.98


FACX
1,047.88
996.02
1,014.70
1,394.57


Insulin
1,070.08
857.52
1,081.85
1,131.61


Insulin R
1,126.92
930.01
1,277.26
1,439.58


Insulysin/IDE
1,817.21
1,685.20
2,563.70
3,264.46


IP-10
1,358.10
910.12
1,517.16
1,720.63


I-TAC/CXCL11
1,892.46
1,099.39
2,026.82
2,420.30


Kininostatin/
2,319.63
1,645.60
2,622.11
3,234.01


kininogen


Kremen-1
980.75
851.20
1,145.99
1,321.05


Kremen-2
1,010.52
1,194.89
1,865.48
1,931.15


Lck
1,020.81
864.75
1,387.45
1,542.06


Latent
922.82
4,029.66*
7,681.24*
6,544.87*


TGF-beta bp1


LBP
739.82
1,164.35
1,527.46
1,327.60


LECT2
936.89
1,051.80
1,210.37
1,191.53


Lefty - A
864.89
950.60
1,267.29
1,277.01


Leptin R
988.33
1,196.73
1,412.49
1,880.36


Leptin (OB)
722.50
1,616.88
1,276.53
1,720.56*


LFA-1 alpha
611.51
1,354.79*
1,250.51*
1,524.15*


LIF
624.50
1,169.36
1,020.34
1,561.29*


LIFR alpha
932.02
1,288.14
1,185.20
1,951.66*


LIGHT/TNFSF14
1,070.62
1,452.53
1,412.29
2,078.84


Lipocalin-1
1,293.67
1,330.40
1,165.17
2,006.71


LRP-1
2,188.61
2,890.83
3,069.30
4,717.33*


LRP-6
1,394.92
2,364.58
2,607.56
4,087.56*


L-Selectin
1,267.69
1,382.26
1,261.10
1,929.25


(CD62L)


Lipocalin-2
2,476.63
1,714.70
1,896.41
3,278.27


Lymphotactin/
1,098.77
1,312.00
1,330.06
2,054.79


XCL1


Lymphotoxin
1,365.14
994.38
1,087.69
1,611.76


beta/TNFSF3


Lymphotoxin
1,200.01
977.19
1,166.55
1,623.79


beta R/TNFRSF3


MAC-1
1,048.42
862.67
1,163.06
1,504.15


MCP-1
1,129.63
1,265.71
2,430.37*
2,927.03*


MCP-2
1,419.82
928.78
1,394.29
1,690.51


MCP-3
1,783.64
715.44*
1,247.71
1,365.85


MCP-4/CCL13
1,465.30
727.71*
1,057.67
1,252.35


M-CSF
1,502.11
1,201.53
1,923.83
2,237.99


M-CSF R
1,508.07
826.40
1,295.48
1,580.06


MDC
1,169.69
846.17
1,091.48
1,415.72


MFG-E8
1,131.80
872.70
1,128.30
1,462.37


MFRP
1,345.65
1,467.26
822.38
1,120.95


MIF
1,268.77
1,505.63
1,009.50
1,418.99


MIG
919.03
1,182.19
1,157.38
1,197.39


MIP-1a
1,062.50
1,603.22
1,442.09
2,240.14*


MIP-1b
1,432.81
1,780.78
1,923.16
2,801.09


MIP-1d
720.33
957.50
1,033.11
1,025.64


MIP 2
812.91
1,202.63
1,345.46
1,554.83


MIP-3 alpha
752.27
1,098.79
1,299.21
2,124.54*


MIP-3 beta
1,536.22
3,864.34*
4,525.98*
5,350.64*


MMP-1
974.25
46,620.53*
53,622.33*
38,420.38*


MMP-2
890.87
2,317.71*
2,954.82*
2,737.83*


MMP-3
871.92
6,219.51*
7,061.18*
8,496.31*


MMP-7
1,365.68
1,847.91
2,036.66
2,255.43


MMP-8
1,148.58
1,599.00
1,500.34
1,771.33


MMP-9
1,063.58
1,463.73
1,136.51
1,667.24


MMP-10
1,000.24
1,414.52
1,193.34
1,726.21


MMP-11/
1,012.69
1,254.77
1,157.85
1,693.37


Stromelysin-3


MMP-12
994.82
1,143.14
979.01
1,512.12


MMP-13
1,191.35
1,078.47
1,011.75
1,495.32


MMP-14
1,486.95
916.70
907.97
1,338.15


MMP-15
884.92
917.37
866.83
1,260.41


MMP-16/
1,966.63
2,112.37
2,387.14
3,465.00


MT3-MMP


MMP-19
1,672.65
1,421.14
1,371.97
1,941.23


MMP-20
3,688.29
2,978.21
3,537.24
5,325.25


MMP-24/
2,324.50
811.10*
1,058.40*
1,195.20


MT5-MMP


MMP-25/
1,484.25
1,220.55
1,056.60
1,111.16


MT6-MMP


Musk
1,294.76
1,250.11
2,918.24*
2,445.54


MSP alpha Chain
1,335.90
967.98
1,256.59
1,535.42


MICA
1,621.22
946.70
1,401.84
1,595.52


NAP-2
1,169.69
806.53
1,202.42
1,087.58


NCAM-1/CD56
1,980.71
1,778.31
1,443.41
2,299.71


Neuritin
1,378.67
1,336.50
972.64
1,591.44


NeuroD1
909.82
1,149.84
994.24
1,234.65


Neuropilin-2
789.09
1,196.15
1,099.20
1,328.89


Neurturin
1,096.61
1,375.09
1,208.00
1,520.63


NGF R
750.65
1,103.03
941.67
1,170.63


NOV/CCN3
620.71
1,086.36
1,005.70
1,320.93*


NRG1 Isoform
736.03
1,192.45
1,237.58
1,436.60


GGF2


Nidogen-1
1,167.53
3,590.00*
4,048.72*
4,497.40*


NrCam
1,193.52
2,442.48*
3,271.70*
3,210.07*


NRG2
1,441.48
1,749.67
2,059.84
2,382.91


NRG3
1,374.34
1,736.13
1,891.69
2,313.99


NT-3
1,120.43
1,392.99
1,202.29
1,353.57


NT-4
942.31
1,557.07
1,357.60
1,357.37


Orexin A
1,120.43
1,809.08
1,600.93
1,877.55


Orexin B
771.22
1,572.81*
1,347.76
1,699.51*


OSM
1,122.05
1,536.35
1,426.09
1,918.03


Osteoactivin/
839.98
1,279.25
1,262.17
1,559.33


GPNMB


Osteocrin
822.66
1,153.43
1,176.48
1,445.54


Osteoprotegerin/
974.25
2,120.02*
2,149.40*
3,157.01*


TNFRSF11B


OX40 Ligand/
1,029.47
1,051.41
1,275.32
1,572.17


TNFSF4


PARC/CCL18
1,117.72
1,029.19
1,384.60
1,576.61


PD-ECGF
1,084.15
1,043.40
1,267.25
1,343.42


PDGF R alpha
1,214.09
986.83
1,122.81
1,231.32


PDGF R beta
2,061.38
1,254.24
2,032.44
1,900.76


PDGF-AA
1,408.45
1,310.35
1,532.25
1,467.41


PDGF-AB
1,268.23
924.10
2,110.42
1,431.92


PDGF-BB
1,284.47
953.54
2,303.68
1,426.55


PDGF-C
1,236.29
1,084.41
2,432.17
1,591.44


PDGF-D
1,211.38
933.24
2,300.94
1,362.53


PECAM-1/CD31
2,262.24
1,106.12*
844.02*
1,558.11


Pentraxin3/
1,721.92
1,381.56
1,620.95
1,868.87


TSG-14


Persephin
1,104.73
911.80
1,150.43
1,114.11


PF4/CXCL4
1,026.22
1,244.27
1,435.22
1,387.35


PIGF
796.13
956.91
1,122.33
1,188.07


PLUNC
662.40
896.18
1,058.82
1,080.51


Pref-1
859.47
1,358.95
1,536.54
1,644.12


Progranulin
653.74
1,963.25*
2,328.68*
1,521.58*


Prolactin
880.05
1,536.04
1,752.35*
1,937.09*


P-selectin
1,210.84
1,728.37
2,182.05
2,064.46


RAGE
1,138.29
1,214.77
1,404.05
1,597.04


RANK/
1,444.73
1,779.27
1,990.66
2,221.48


TNFRSF11A


RANTES
975.87
1,489.53
1,341.73
1,519.37


RELM beta
852.43
1,569.27
1,380.69
1,447.78


RELT/
1,193.52
2,109.96
1,898.43
2,192.58


TNFRSF19L


ROBO4
927.69
1,908.04*
1,408.25
1,820.76


S100 A8/A9
1,204.88
2,363.44
2,269.53
2,659.45*


S100A10
6,838.69
10,077.83
10,485.84
10,679.37


SAA
1,109.06
1,550.81
1,548.44
1,894.56


SCF
3,868.03
4,734.89
5,077.24
6,759.07


SCF R/
1,331.57
1,372.95
1,607.01
1,790.92


CD117


SDF-1/
1,002.40
1,153.57
1,404.86
1,486.05


CXCL12


sFRP-1
835.65
993.15
1,428.34
1,157.91


sFRP-3
1,607.69
1,452.67
1,932.14
2,041.60


sFRP-4
18,001.81
24,248.20
32,713.49
41,545.55*


sgp130
2,145.30
2,375.82
2,949.22
3,282.83


SIGIRR
3,403.51
2,541.45
3,038.71
3,827.48


Siglec-5/
1,778.23
1,727.81
1,953.84
2,069.61


CD170


Siglec-9
1,628.80
1,493.06
2,025.24
2,542.46


SLPI
1,126.92
1,139.11
1,708.26
2,184.82


Smad 1
2,072.75
1,431.28
1,354.99
2,104.24


Smad 4
2,805.26
2,835.98
8,232.29*
4,904.66


Smad 5
1,359.73
1,243.34
5,963.74*
1,906.20


Smad 7
791.26
1,267.67
2,347.11*
1,278.30


Smad 8
862.18
1,451.05
1,283.31
1,418.07


Prdx
533.01
1,162.32*
1,306.85*
1,280.77*


Soggy-1
966.13
2,179.15*
1,993.02*
2,347.68*


Sonic Hedgehog
704.63
1,508.09*
1,550.51*
1,747.30*


(Shh N-terminal)


SPARC
956.92
8,863.21*
8,852.43*
14,857.38*


Spinesin
743.61
1,736.29*
2,210.92*
2,700.87*


TACI/
1,051.13
1,835.72
2,038.77
2,507.01*


TNFRSF13B


Tarc
873.01
1,469.03
1,386.36
2,127.31*


TCCR/WSX-1
1,014.85
1,512.51
1,455.58
1,956.80


TECK/CCL25
1,024.06
1,636.63
1,511.86
1,868.04


TFPI
1,264.98
2,263.32
2,041.19
2,294.98


TGF-alpha
727.91
1,742.60*
1,428.26
1,881.89*


TGF-beta 1
876.26
1,795.74*
1,418.00
1,906.18*


TGF-beta 2
1,190.27
1,874.23
1,888.48
2,330.21


TGF-beta 3
1,098.77
1,771.08
1,947.87
2,354.60*


TGF-beta 5
5,353.09
7,576.21
9,248.68
7,894.59


TGF-beta
1,720.84
2,988.49
3,184.01
3,341.05


RI/ALK-5


TGF-beta RII
1,030.55
1,407.11
1,687.88
1,817.73


Grb2
943.39
1,110.77
1,390.05
1,438.76


TGF-beta RIII
1,486.41
1,385.01
1,861.39
1,824.49


Thrombopoietin
2,431.70
2,241.07
3,233.90
2,987.64


(TPO)


TPX
4,423.51
3,688.17
3,254.43
4,908.28


Thrombo-
64,279.03
65,678.75
49,684.26
82,706.21


spondin-1


Thrombo-
5,093.76
5,089.23
4,487.73
9,647.94


spondin-2


Thrombo-
1,697.02
1,385.86
1,678.72
2,814.18


spondin-4


Thymopoietin
1,039.22
998.68
1,456.02
2,411.46*


Tie-1
1,588.20
1,547.54
2,148.41
2,450.29


Tie-2
1,206.51
2,185.01
2,345.60
3,182.89*


TIMP-1
1,295.84
14,201.02*
16,620.57*
25,661.55*


TIMP-2
820.49
28,405.89*
22,696.06*
26,642.47*


TIMP-3
559.00
1,753.62*
2,267.47*
2,468.84*


TIMP-4
1,091.73
1,806.14
2,138.00
2,983.50*


TL1A/T
1,014.31
1,508.55
1,601.68
2,125.42*


NFSF15


TLR1
943.93
1,607.92
1,872.94
2,282.20*


TLR2
932.56
1,872.01*
2,033.23*
2,700.80*


TLR3
1,183.23
2,016.94
1,977.37
2,862.29*


TLR4
1,130.71
1,801.69
1,803.61
2,677.74*


TMEFF1/
1,668.32
2,141.06
2,194.53
3,544.15*


Tomoregulin-1


TMEFF2
1,064.12
1,974.74
2,133.12*
2,626.45*


TNF-alpha
1,092.27
1,822.24
1,569.82
2,494.98*


TNF-beta
1,312.62
2,217.41
2,084.36
3,590.22*


TNF RI/
1,078.20
1,586.44
1,452.81
2,172.68*


TNFRSF1A


TNF RII/
2,177.78
1,927.28
2,208.75
3,175.53


TNFRSF1B


TRADD
1,475.04
1,476.87
1,520.04
2,104.60


TRAIL/
1,321.29
1,307.47
1,593.30
2,226.75


TNFSF10


TRAIL
1,504.82
1,329.39
1,531.22
1,924.02


R1/DR4/


TNFRSF10A


TRAIL
1,995.87
1,518.44
1,932.76
2,443.97


R2/DR5/


TNFRSF10B


TRAIL R3/
2,222.17
2,274.87
3,171.18
2,904.21


TNFRSF10C


TRAIL R4/
2,354.28
1,965.74
2,118.98
2,338.33


TNFRSF10D


TRANCE
5,532.83
4,363.26
4,194.06
6,347.90


TREM-1
1,413.87
1,333.65
1,923.92
2,503.24


TROY/
1,098.23
1,546.46
1,980.55
2,656.45*


TNFRSF19


TSG-6
1,122.59
1,787.06
2,297.39*
2,782.84*


TSLP R
1,051.67
1,285.14
1,500.27
1,813.06


TWEAK/
1,177.27
1,341.84
1,620.97
2,050.17


TNFSF12


TWEAK R/
1,171.32
1,830.00
1,680.44
2,274.93


TNFRSF12


Ubiquitin + 1
1,439.85
1,723.28
1,994.16
2,801.97


uPA
1,427.94
1,843.28
2,078.28
3,230.23*


uPAR
1,265.52
1,973.16
1,990.85
2,855.24*


Vasorin
1,321.29
2,213.59
2,146.23
3,898.00*


VCAM-1
1,267.15
1,843.52
1,499.51
2,820.62*


(CD106)


VE-Cadherin
1,219.50
1,974.43
1,530.16
3,071.04*


VEGF
1,548.67
2,275.91
2,431.67
4,687.78*


VEGF R2 (KDR)
1,195.68
1,733.34
1,367.12
3,178.56*


VEGF R3
1,259.57
1,733.65
1,522.55
2,852.67*


VEGF-B
1,093.36
1,309.05
1,272.29
2,274.69*


VEGF-C
1,454.47
1,460.05
1,724.70
2,508.73


VEGF-D
2,017.53
1,857.74
2,348.98
3,409.78


VEGI/
1,150.20
961.24
1,234.62
1,727.08


TNFSF15


WIF-1
1,257.40
1,211.39
1,556.77
1,921.83


WISP-1/CCN4
1,195.68
1,347.81
1,584.64
1,646.05


XEDAR
1,414.95
1,592.80
1,822.48
2,751.63*


Positive
19,613.33
19,613.33
19,613.33
19,613.33


Control


Neg
1.16
153.65*
411.23*
130.50*


11b-HSD1
1.16
9.43*
1.03
69.25*


2B4
1.16
36.20*
9.28*
73.02*


4-1BB
1.16
44.55*
19.13*
67.57*


A1BG
1.16
114.05*
42.87*
115.12*


A2M
211.47
1,600.89*
1,136.95*
2,328.91*


ABL1
477.41
502.67
359.45
791.51


ACE
78.80
193.80*
68.06
270.68*


ACE-2
194.09
326.54
237.09
405.17*


ACK1
477.41
647.94
512.69
686.25


ACPP
313.45
481.05
486.23
820.72*


ACTH
414.84
595.44
800.49
1,444.69*


ADAM-9
446.70
472.90
706.03
1,062.23*


ADAMTS-1
717.85
367.14
851.87
985.02


ADAMTS-10
1,469.89
3,168.98*
3,839.53*
5,165.18*


ADAMTS-13
719.59
247.44*
601.62
574.50


ADAMTS-15
555.63
121.77*
558.53
438.44


ADAMTS-17
300.12
96.17*
345.21
295.50


ADAMTS-18
63.73
83.59
448.50*
505.98*


ADAMTS-19
1.16
50.06*
361.51*
207.95*


ADAMTS-4
1.16
58.51*
313.92*
161.25*


ADAMTS-5
1.16
11.18*
286.18*
218.20*


ADAMTS-L2
1.16
69.63*
559.99*
726.19*


Adipsin
1.16
1,233.42*
5,756.54*
1,943.35*


Afamin
1,208.59
141.80*
753.15
2,936.23*


AFP
2,181.37
65.56*
684.57*
1,530.48


ALBUMIN
4,443.86
604.61*
1,541.23*
2,317.00


Aldolase A
1.16
110.96*
150.78*
104.91*


Aldolase B
1.16
33.13*
50.87*
26.21*


Aldolase C
1.16
141.93*
81.12*
79.57*


ALK
1.16
105.42*
66.77*
96.93*


Alpha 1 AG
1.16
162.29*
170.43*
284.78*


Alpha 1
1.16
306.58*
234.13*
591.28*


Microglobulin


Alpha
280.42
381.04
263.45
493.19


Lactalbumin


ALPP
183.08
513.50*
455.35*
786.07*


AMICA
315.18
451.98
536.48
908.83*


AMPKa1
177.87
268.69
323.94
447.34*


Amylin
358.64
523.14
649.22
836.06*


ANGPTL3
405.57
451.96
675.38
616.26


ANGPTL4
541.14
344.80
784.43
884.98


Annexin A7
603.14
264.54*
743.79
753.06


APC
732.92
335.35*
863.68
954.10


APCS
460.61
243.76
577.74
592.61


Apelin
651.80
383.81
700.36
730.64


Apex1
823.88
304.48*
516.56
508.56


APN
130.94
103.98
331.28*
281.25*


ApoA1
145.42
91.21
347.19*
317.18*


ApoA2
176.13
92.10*
327.31
313.48


ApoA4
175.55
115.46
507.64*
554.46*


ApoB
1.16
22.98*
389.11*
401.33*


ApoB100
303.60
27.93*
401.06
543.36


ApoC1
2,526.11
43.49*
517.26*
764.06*


ApoC2
6,480.97
1,667.31*
3,446.03
3,573.17


ApoC3
98,174.53
99,021.84
118,299.42
145,523.00


ApoD
1.16
270.70*
422.17*
411.17*


ApoE
1.16
98.24*
439.38*
15.84*


ApoE3
1.16
119.91*
195.12*
22.22*


ApoH
1.16
185.87*
170.33*
65.28*


ApoM
1.16
178.23*
219.26*
187.02*


APP
1.16
2,545.55*
2,551.79*
2,560.93*


ASPH
1.16
204.00*
204.89*
174.64*


Attractin
1.16
127.47*
150.90*
118.11*


B3GNT1
1.16
173.58*
221.68*
198.86*


BAF57
1.16
198.59*
218.13*
216.41*


BAFF
1.16
201.77*
264.89*
252.07*


BAI-1
254.93
324.81
445.54
481.31


BCAM
325.61
498.10
671.55*
627.02


Beta 2M
412.52
2,635.25*
3,669.88*
3,451.24*


Beta
1,734.09
1,059.32
1,511.85
2,061.92


Defensin 4


Beta IG-H3
643.69
7,717.55*
7,511.18*
18,306.78*


Biglycan
554.47
624.68
819.28
1,006.07


BLAME
695.84
383.35
677.00
644.94


BMP-9
600.82
258.65*
527.62
578.95


BMX
432.80
247.72
588.89
520.72


BNIP2
854.01
708.38
1,044.63
722.72


BNP
108.34
229.07*
393.92*
406.62*


Btk
230.01
342.75
617.12*
667.78*


C2
151.80
175.42
412.82*
314.57*


C3a
301.28
69.16*
333.27
259.56


C5/C5a
1.16
48.23*
291.43*
211.11*


C7
527.24
140.86*
447.49
755.93


C8B
2,329.69
18.40*
329.57*
450.97*


C9
3,010.47
359.91*
768.15*
1,482.85*


CA9
2,275.23
2,029.32
2,016.56
4,700.01*


CA15-3
1.16
255.70*
223.13*
369.19*


CA19-9
1.16
301.47*
335.34*
153.30*


CA125
1.16
313.04*
298.27*
166.63*


Cadherin-13
1.16
314.86*
458.31*
413.20*


Calbindin
2,618.81
2,167.38
2,064.99
3,732.71


Calbindin D
190.04
266.92
349.99
487.43*


Calcitonin
191.78
230.39
223.17
353.91


Calreticulin
39.98
175.45*
256.30*
252.87*


Calsyntenin-1
1.16
137.85*
305.11*
182.14*


CART
17.96
199.66*
269.76*
316.66*


Caspase-3
263.62
298.03
374.00
508.82


Caspase-8
338.94
427.22
471.59
1,154.52*


Cathepsin B
382.39
392.09
570.98
1,830.89*


Cathepsin D
628.05
320.66
643.39
2,269.65*


Cathepsin L
914.84
427.39*
818.41
1,754.78


Cathepsin S
837.21
403.24*
807.82
1,271.07


CBP
1,471.05
1,130.35
1,914.18
2,290.66


CCK
2,319.27
877.40*
1,551.89
2,288.94


CD23
964.67
200.71*
592.20
713.19


CD24
392.24
124.37*
479.67
517.42


CD36
355.74
72.25*
452.72
422.25


CD38
509.86
109.68*
420.48
423.82


CD44
336.04
29.20*
269.98
315.01


CD45
481.47
97.96*
352.40
375.07


CD46
390.50
91.75*
328.05
335.17


CD47
366.17
69.10*
454.75
1,125.47*


CD55
343.57
45.41*
339.31
392.46


CD59
989.58
31.08*
291.57*
391.36*


CD61
751.46
108.98*
510.44
820.02


CD71
734.66
1,336.56
524.85
957.47


CD74
1.16
478.12*
577.33*
721.31*


CD79 alpha
85.75
386.11*
594.13*
603.35*


CD90
1.16
193.34*
326.88*
245.74*


CD97
161.07
169.18
402.60*
337.07*


CD200
171.50
152.30
364.80*
382.47*


CEA
48.09
107.86*
271.54*
324.26*


CEACAM-1
1.16
118.58*
272.14*
350.90*


Ceruloplasmin
1.16
62.42*
210.45*
231.17*


CFHR2
1.16
118.91*
248.80*
305.94*


Chemerin
1.16
211.16*
499.05*
560.39*


CHI3L1
97.34
386.78*
668.44*
1,240.82*


Chromogranin A
296.64
309.79
626.30*
1,196.58*


Chymase
474.51
259.06
553.40
1,080.93*


cIAP-2
652.96
278.39*
688.69
1,306.68*


Ck beta 8-1
877.18
236.89*
705.17
1,245.08


CK-MB
784.48
302.21*
722.15
962.44


Claudin-3
747.40
187.58*
757.04
700.43


Claudin-4
766.52
190.35*
638.20
675.76


CLEC3B
443.81
168.00*
645.21
824.09


Clusterin
447.28
35.90*
695.19
641.26


CNDP1
801.29
128.46*
768.47
1,031.40


COCO
115.88
42.75*
434.58*
442.03*


Complement
1.16
29.70*
358.92*
357.02*


factor H


Contactin-1
924.11
970.29
2,078.23*
1,491.32


Contactin-2
124.57
389.77*
323.82*
292.41*


Corticosteroid-
346.47
258.77
1,509.12*
1,007.06*


binding globulin


COX-2
125.73
106.79
367.71*
509.07*


C-peptide
566.64
253.52*
783.19
1,310.38*


CPN2
974.52
436.21
1,540.54
1,731.99


Creatinine
24,459.77
27,733.72
36,863.11
42,606.45


CRP
1.16
274.28*
622.99*
499.57*


CRTAM
56.78
126.63*
402.34*
252.36*


CSH1
315.76
163.67
601.50
379.19


cTnT
321.56
76.83*
472.14
362.64


CutA
89.22
13.30*
291.89*
237.14*


Cyclin D1
52.72
19.48*
338.28*
281.74*


Cystatin A
31.87
41.28
335.28*
382.80*


Cystatin B
143.11
168.01
399.29*
434.29*


Cystatin C
13.33
156.76*
371.89*
435.83*


Cytochrome C
1.16
147.29*
447.82*
533.46*


Cytokeratin 8
1.74
186.03*
461.25*
570.57*


Cytokeratin18
308.81
247.58
646.00*
687.05*


Cytokeratin19
286.21
198.38
603.87*
553.21


DBI
440.33
173.25*
599.73
482.00


DCBLD2
570.11
149.49*
655.67
591.06


D-Dimer
954.24
1,388.15
1,984.01*
2,992.84*


DEFA1/3
742.77
110.47*
630.23
630.80


Defensin
410.78
97.17*
569.32
583.18


Desmin
646.01
265.86*
914.42
1,195.33


DLL1
713.22
152.91*
800.76
836.42


DLL4
464.66
103.12*
743.53
626.97


DMP-1
504.64
364.45
1,205.64*
1,160.89*


DPPIV
183.66
150.61
708.51*
646.68*


E-Cadherin
413.68
119.15*
470.11
536.61


Endorphin Beta
204.52
86.27*
380.05
288.02


Endothelin
195.25
125.60
406.49*
304.60


Receptor A


Enolase 2
200.47
134.83
474.45*
402.37*


ENPP2
285.06
126.10
607.26*
727.38*


EpCAM
438.01
81.50*
559.59
919.72*


EphA1
1,309.98
450.72*
1,095.72
1,924.97


EphA2
1.16
148.42*
465.87*
299.77*


EphA3
384.13
381.58
1,053.80*
1,085.43*


EphA4
505.80
169.49*
675.22
494.89


EphA5
1,052.74
356.71*
1,068.15
1,090.24


EphA6
168.02
124.64
549.03*
462.61*


EphA7
372.54
152.44*
466.49
578.01


EphA8
895.72
401.57*
895.55
1,156.06


EphB1
902.10
426.40*
811.55
1,108.08


EphB2
931.07
389.46*
727.95
1,009.72


EphB3
851.69
567.00
905.66
1,217.81


EphB4
1.16
170.38*
488.75*
535.43*


EphB6
144.85
222.27
563.62*
638.01*


ERRa
544.62
256.42*
905.78
1,132.77*


Erythro-
628.63
325.89
727.64
731.78


poietin R


ESAM
672.66
260.47*
677.34
639.52


EV15L
848.22
245.00*
670.71
652.17


EXTL2
738.13
375.10
934.56
963.63


FABP1
669.77
212.31*
810.51
1,015.16


FABP2
367.91
162.11*
565.40
748.39


FABP3
250.29
140.27
501.71*
614.11*


FABP4
529.56
828.56
1,852.88*
2,616.67*


Factor XIII A
18,130.02
48,560.06*
59,351.02*
79,043.79*


Factor XIII B
690.04
1,868.35*
2,488.59*
3,152.99*


FAK
505.80
102.03*
489.58
511.57


FAP
1,625.17
129.78*
490.19*
468.82*


Fc RIIB/C
820.98
124.61*
444.18
507.94


Fen 1
45.19
136.69*
484.46*
581.16*


FER
396.88
185.63*
685.08
1,029.11*


Ferritin
626.89
58.44*
517.85
768.93


Fetuin A
409.62
47.09*
504.40
729.06


Fetuin B
1.16
200.35*
768.38*
569.76*


FGFR1
209.74
254.36
1,122.23*
1,353.40*


FGFR1 alpha
136.73
134.14
736.12*
446.89*


FGFR2
694.68
508.85
1,270.68
1,459.78*


Fibrinogen
530.13
9,202.76*
13,333.01*
21,925.77*


Fibrinopeptide A
276.94
692.98*
1,348.75*
2,031.59*


Fibronectin
550.41
18,570.43*
28,116.82*
41,847.45*


Ficolin-3
59.10
626.64*
1,014.16*
1,362.72*


FIH
107.77
187.69
314.49*
478.26*


FOLR1
266.52
371.75
648.03*
804.23*


FOXN3
7,686.66
9,269.48
13,035.73
10,005.07


FoxO1
578.22
619.85
947.14
1,115.03


FoxP3
451.34
226.39*
612.67
704.19


FRK
1,754.37
1,547.28
2,738.80
3,489.41


FSH
618.78
351.97
788.29
675.01


Furin
770.00
405.58
765.36
716.12


Fyn
771.74
312.23*
672.14
621.95


GADD45A
711.48
407.14
742.24
889.34


Galanin
334.88
327.20
586.71
830.90*


Galectin-1
128.62
199.38
543.07*
686.95*


Galectin-3BP
243.92
330.51
732.15*
947.58*


Galectin-7
513.91
1,083.84*
1,486.76*
2,699.46*


gamma-Thrombin
47.51
233.70*
586.83*
667.71*


Gas1
320.98
185.42
593.10
547.42


Gastrin
312.29
67.87*
489.67
412.76


GATA-3
387.61
86.58*
549.91
571.94


GATA-4
2.32
54.24*
469.00*
453.90*


Gelsolin
224.22
89.75*
544.17*
607.43*


Ghrelin
615.88
94.58*
748.09
878.58


GLP-1
832.57
53.28*
959.43
1,323.73


GMNN
1.16
245.25*
695.85*
527.85*


GPBB
1.16
147.93*
713.46*
545.19*


GPI
1.16
111.65*
607.64*
405.04*


GPR-39
284.48
232.12
581.32*
506.37


GPX1
281.58
592.73*
829.28*
926.51*


GPX3
245.66
296.84
540.85*
943.51*


GRP
298.38
938.00*
1,120.75*
1,747.49*


GRP75
1.16
346.33*
406.21*
766.37*


GRP78
190.62
299.02
366.03
698.84*


GSR
237.55
375.76
468.69
780.06*


GST
573.59
615.94
761.21
1,141.42


HADHA
345.31
319.92
485.54
691.57*


HAI-1
751.46
477.71
732.34
831.14


HAI-2
596.18
411.40
630.86
735.68


Haptoglobin
798.97
520.79
835.12
882.58


hCG alpha
482.63
449.92
701.08
653.19


hCGb
599.08
404.72
705.61
698.29


Hck
661.07
696.80
970.65
1,456.76*


HE4
765.94
500.66
665.10
1,371.54


Hemopexin
99.65
246.91*
522.14*
645.26*


Hepcidin
2,332.59
1,878.39
2,468.08
3,035.34


HOXA10
418.89
250.02
733.49
969.12*


HSP10
233.49
201.92
573.54*
612.09*


HSP20
81.11
168.70*
524.19*
631.09*


HSP27
265.94
954.61*
1,434.63*
1,441.15*


HSP32
378.92
121.52*
622.81
924.98*


HSP40
214.95
104.23*
557.77*
696.00*


HSP60
213.79
83.41*
553.85*
708.74*


HSP70
2.90
16.42*
567.39*
716.37*


HSP90
145.42
20.96*
615.34*
588.50*


HSPA8
227.70
175.45
497.30*
574.46*


HTRA2
466.40
304.41
741.02
1,110.21*


IBSP
16,123.62
14,446.85
20,211.41
29,611.81


IGF2BP1
912.53
598.70
993.81
1,447.17


IGFBP-5
170.92
257.12
350.61*
605.88*


IL-23p19
246.82
356.98
459.70
701.96*


IL-33
238.13
271.70
418.56
702.02*


IL-34
413.68
306.40
464.44
699.77


IL36RN
429.90
332.20
541.50
652.26


INSL3
493.05
450.70
617.57
634.07


INSRR
684.25
428.69
572.56
642.92


Integrin
1,019.71
936.88
1,081.80
1,401.20


alpha V


Itk
1,013.34
928.22
1,737.00
1,736.11


ITM2B
390.50
445.20
1,130.71*
897.85*


Kallikrein 2
176.71
346.85
656.22*
892.67*


Kallikrein 5
269.99
357.07
950.22
1,267.60


Kallikrein 6
112.98
200.30
625.79*
669.91*


Kallikrein 7
178.45
314.16
663.73*
899.42*


Kallikrein 8
1.16
228.78*
520.51*
526.08*


Kallikrein 10
23.18
244.84*
551.24*
672.79*


Kallikrein 11
1.16
169.94*
448.90*
517.98*


Kallikrein 14
1.16
218.18*
482.29*
582.76*


KCC3
1.16
140.90*
534.97*
476.73*


KCTD10
1.16
156.82*
573.66*
604.07*


KIF3B
1.16
196.27*
701.09*
894.29*


KLF4
67.21
184.46*
773.71*
1,038.51*


LAG-3
440.91
87.13*
475.77
523.69


Layilin
456.55
105.13*
421.32
648.24


LDL R
969.89
436.83*
792.51
1,051.27


Legumain
382.97
186.84*
394.32
582.36


LH
148.32
154.21
275.06
499.92*


LIMPII
324.45
126.23*
293.81
655.25*


LIN41
333.14
195.59
286.60
640.24


Livin
402.67
208.20
365.33
532.68


LOX-1
579.96
330.34
459.19
704.74


LPS
1,444.98
936.70
1,516.72
3,377.81*


LRG1
984.95
445.33*
744.38
1,021.03


LTF
910.79
732.79
1,276.51
1,319.82


LTK
1,148.33
770.68
1,050.21
1,139.59


Lumican
386.45
224.88
532.11
665.56


Lyn
557.94
703.58
1,178.34*
1,462.97*


LYRIC
265.94
258.97
552.31
1,155.46*


LYVE-1
1.16
227.30*
497.99*
532.83*


LZTS1
101.97
221.95*
548.54*
757.35*


Mammaglobin A
1.16
217.39*
428.96*
742.71*


Marapsin
64.31
234.40*
378.03*
602.72*


MATK
39.40
323.89*
628.50*
759.82*


MBL
45.77
332.55*
576.16*
784.43*


MBL-2
151.80
421.26*
753.06*
1,394.77*


Mer
236.39
217.85
623.56
680.69


Mesothelin
42.87
202.92*
629.06*
619.08*


MICB
258.40
229.81
732.37*
721.71*


Midkine
337.20
115.15*
434.42
486.19


MINA
680.19
173.09*
590.88
743.97


MSHa
329.09
42.74*
280.93
486.59


MTUS1
669.19
116.72*
381.78
993.23


Myoglobin
436.85
127.78*
256.00
483.10


NAIP
346.47
103.11*
217.91
469.72


Nanog
454.24
137.26*
231.49
491.24


NELL2
368.49
198.31
320.67
460.11


NEP
590.39
293.14
413.02
666.76


Nesfatin
1,358.65
772.73
1,075.13
1,637.44


Nestin
659.92
324.28*
555.09
600.03


NET1
705.69
330.06*
493.78
577.33


Netrin G2
455.97
227.86
534.65
527.96


Netrin-4
433.38
156.80*
452.15
487.89


Neurokinin-A
278.10
284.81
535.09
594.02


Neuropeptide Y
85.75
220.99*
680.95*
540.43*


NF1
1.16
175.96*
445.36*
457.17*


NM23-H1/H2
180.19
119.58
410.80*
403.92*


Notch-1
1.16
205.31*
429.90*
455.91*


NPTX1
1.16
261.23*
430.64*
465.00*


NPTXR
1.16
215.70*
355.49*
514.51*


NR3C3
1.16
757.02*
402.10*
431.06*


Ntn1
814.03
632.94
1,663.06*
1,882.51*


OCT3/4
61.99
297.65*
514.87*
566.50*


Omentin
2,597.95
2,435.18
3,536.67
4,293.12


Osteocalcin
257.82
201.88
610.42*
435.75


Osteopontin
336.62
364.06
868.17*
381.26


OX40
438.01
288.30
776.16
328.95


p21
420.05
240.09
700.30*
408.30


p27
502.90
190.55*
542.61
342.82


p53
347.05
130.49*
455.78
338.62


PAI-1
20.86
701.04*
1,662.47*
2,454.59*


PAK7
198.15
197.43
336.99
480.83*


Pancreastatin
545.20
173.38*
463.08
502.72


Pancreatic
329.67
57.79*
299.19
419.26


Polypeptide


Pappalysin-1
373.12
119.07*
270.21
445.54


PARK7
130.94
145.20
335.55*
439.50*


P-Cadherin
466.40
271.86
489.41
580.17


PCAF
298.38
246.49
445.97
482.03


PD-1
384.71
325.49
543.54
617.89


PDX-1
512.75
277.83
481.55
433.81


PEDF
380.65
214.19
542.23
550.61


PEPSINOGEN I
256.09
179.04
465.05
449.14


PEPSINOGEN II
112.98
157.87
515.22*
548.96*


PGRP-S
23.75
286.05*
626.66*
877.90*


PI 16
1.16
154.88*
632.80*
830.47*


PI 3Kinase
37.66
129.52*
536.89*
590.47*


p85 beta


PIM2
1.16
50.27*
360.55*
363.27*


PKM2
1.16
146.93*
398.24*
551.75*


Plasminogen
1.16
1,137.55*
3,677.66*
3,358.75*


Podocalyxin
1.16
189.31*
509.40*
505.68*


POMC
223.06
407.33
702.04*
1,022.91*


PON1
1.16
304.75*
492.62*
452.95*


PON2
1.16
110.61*
499.41*
690.37*


PPARg2
53.30
214.39*
683.36*
575.00*


PPP2R5C
133.26
295.86*
929.31*
915.39*


Presenilin 1
444.97
355.83
974.47*
387.80


Presenilin 2
290.27
294.29
766.72*
277.90


Pro-BDNF
445.54
261.57
550.60
295.81


Procalcitonin
187.14
195.88
600.62*
377.33*


Pro-Cathepsin B
68.95
299.96*
745.63*
529.31*


Progesterone
1.16
68.74*
446.96*
353.70*


pro-Glucagon
314.60
131.63*
689.57*
1,104.88*


Prohibitin
1.16
84.54*
303.03*
379.16*


Pro-MMP-7
1.16
110.58*
328.87*
359.80*


Pro-MMP-9
79.95
98.30
298.81*
393.38*


Pro-MMP-13
249.71
171.72
423.65
480.26


ProSAAS
121.09
306.45*
617.31*
523.80*


Prostasin
186.56
289.62
664.56*
618.30*


Protein p65
170.92
215.02
511.90*
404.87*


PSA-Free
144.85
223.69
524.95*
501.94*


PSA-total
220.74
179.48
594.41*
545.79*


PSP
1.16
125.16*
455.47*
589.44*


PTH
1.16
533.71*
845.09*
2,143.04*


PTHLP
7,014.00
30,003.94*
25,623.63*
43,869.68*


PTN
1.16
815.10*
1,204.22*
1,688.76*


PTPRD
314.60
323.72
857.87*
1,229.51*


PYK2
1.16
122.90*
485.82*
801.01*


PYY
165.12
386.93*
1,005.10*
1,993.06*


Ras
66.63
3,697.36*
8,124.49*
14,353.17*


RBP4
1.16
195.55*
747.93*
748.67*


RECK
1.16
240.27*
647.48*
692.97*


RELM alpha
181.93
303.27
858.80*
672.35*


Resistin
1.16
125.17*
600.75*
581.38*


RET
1.16
232.98*
735.07*
651.36*


RIP1
1.16
115.00*
672.18*
355.42*


ROCK1
1,150.07
447.56*
1,261.36
1,108.93


ROCK2
625.15
358.61
935.14
669.09


ROR1
311.71
356.60
682.71*
378.45


ROR2
51.56
250.44*
510.09*
265.49*


ROS
34.18
272.58*
805.13*
692.06*


RYK
670.34
349.57
854.57
910.82


S100A4
25.49
106.27*
548.25*
557.05*


S100A6
1.16
167.09*
655.29*
755.59*


S100A8
1.16
63.15*
530.90*
625.94*


S-100b
19.70
66.68*
358.95*
481.14*


SART1
60.26
91.06
405.98*
400.59*


SART3
67.79
91.22
522.90*
445.85*


SCG3
35.92
135.93*
542.17*
474.98*


Selenoprotein P
1,366.18
1,031.64
1,830.32
2,211.78


SEMA3A
234.65
170.55
791.12*
529.39*


Serotonin
144.27
76.71
658.75*
589.15*


Serping 1
506.96
467.61
1,220.29*
1,300.01*


Serpin A1
210.90
190.35
726.38*
937.22*


Serpin A3
310.55
932.66*
1,181.20*
1,906.23*


Serpin A4
1.16
119.99*
622.57*
642.78*


Serpin A5
1.16
55.56*
559.85*
669.43*


Serpin A8
1,717.87
1,718.74
2,992.20
4,339.85*


Serpin A9
1.16
19.85*
496.21*
526.73*


Serpin A12
1.16
125.63*
589.49*
761.49*


Serpin B5
1.16
66.45*
466.03*
420.79*


Serpin D1
1.16
11.46*
434.52*
239.48*


Serpin I1
1.16
6.19*
510.88*
365.53*


SERTAD2
1.16
85.84*
597.65*
580.78*


SHBG
1.16
128.57*
859.98*
562.89*


SMAC
1.16
20.76*
700.13*
268.20*


SNCG
7,622.35
4,667.80
5,455.71
9,088.43


Somatotropin
1,280.43
430.37*
1,081.35
500.02*


SOST
725.39
336.02*
801.78
438.27


SOX17
296.06
224.82
610.50*
390.03


SOX2
307.07
179.94
660.12*
472.10


SPARCL1
1,124.00
602.01
1,391.83
1,676.50


SPINK1
1.16
60.57*
476.02*
478.31*


SRMS
381.23
560.22
1,276.04*
1,579.85*


SSEA-1
1.16
125.19*
629.99*
603.41*


SSEA-4
97.34
347.22*
543.72*
617.26*


SSTR2
270.57
383.46
807.43*
918.23*


SSTR5
1.16
238.95*
761.82*
622.90*


Survivin
191.20
238.95
833.72*
588.45*


SYK
425.85
250.15
984.88*
684.07


Syndecan-1
234.07
283.81
890.53*
650.29*


Syndecan-3
39.98
90.24*
807.73*
969.06*


TACE
161.65
99.81
819.77*
629.18*


TAF4
1.16
32.94*
647.13*
518.04*


Tec
274.05
234.99
1,106.33*
1,179.67*


TFF1
553.31
427.03
1,170.02*
1,457.40*


TFF3
1.16
117.74*
548.67*
788.19*


Thrombin
1.16
131.45*
560.74*
492.24*


Thrombomodulin
1.16
108.75*
488.74*
359.09*


Thymidine
1.16
84.36*
529.55*
418.31*


Kinase-1


Thyroglobulin
1.16
629.61*
570.80*
376.26*


TIM-1
1.16
134.86*
564.46*
450.91*


TNK1
847.64
1,215.16
1,890.56*
2,189.62*


TOPORS
1.16
156.34*
667.07*
423.96*


TPA
1.16
158.32*
707.80*
364.07*


TPM1
1.16
167.65*
783.88*
407.91*


TRA-1-60
272.31
195.13
782.50*
406.75


TRA-1-81
146.58
188.10
666.38*
409.63


Transferrin
292.59
258.05
701.47*
504.41


Trappin-2
48.67
120.79*
542.44*
524.63*


TRKB
250.87
275.42
765.39*
681.24*


Troponin I
189.46
238.62
635.42*
518.48*


Troponin C
441.49
377.57
884.41*
904.31*


TRPC1
3,001.20
2,611.70
3,843.63
3,197.62


TRPC6
216.69
268.23
885.02*
552.92*


TRPM7
264.20
322.11
954.04*
1,038.30*


Trypsin 1
377.18
324.59
1,028.25*
634.40


TSH
180.19
250.15
1,077.27*
586.90*


TSLP
127.46
294.62*
1,419.29*
678.46*


TXK
1,507.55
1,977.02
3,083.03*
3,098.88*


Tyk2
58.52
176.40*
951.65*
589.09*


TYRO10
45.19
226.37*
849.45*
756.23*


Uromodulin
1,234.08
87.29*
711.55
428.77*


Vasopressin
1.16
141.88*
670.52*
460.77*


VDUP-1
16.80
163.28*
906.36*
600.84*


VEGF R1
1.16
144.03*
609.10*
429.33*


VGF
1.16
71.98*
563.05*
315.72*


VIP Receptor 2
1.16
127.08*
609.75*
265.00*


Visfatin
1.16
175.82*
825.67*
463.03*


Vitamin D
3,224.84
3,079.79
3,742.43
5,376.98


Receptor


Vitamin D-BP
88.07
201.02*
629.39*
212.06*


Vitamin
1.16
188.38*
488.99*
279.33*


K-dependent


protein S


Vitronectin
163.97
300.66
503.70*
692.94*


VWF
4,164.60
4,004.52
4,065.54
5,997.39


Wilms Tumor 1
400.93
544.67
755.06
683.51


XIAP
461.19
534.02
620.92
645.07


ZAG
461.77
605.23
756.15
739.26


ZAP70
482.63
665.08
799.14
620.49









Table 1 shows that a total of 661/1000 (66.1%) of the tested proteins demonstrated Biological Significance as described in the testing protocol (≧2 fold increase/decrease relative to control/comparator sample) in at least one of the averaged sample groups.


Table 2 is a listing of average production levels for each sample ethnic group (As=Asian, Af=African, Ca=Caucasian) that demonstrated Biological Significance across all three (3) groups. These shared proteins became the basis for the initial assessment that follows.














TABLE 2








AS
AF
CA



Control
Average
Average
Average




















BCMA/TNFRSF17
1.08
67.49
208.10
194.35


BAX
90.68
552.02
357.12
759.17


beta-NGF
199.51
358.85
478.62
897.43


CCL14/HCC-1/HCC-3
482.66
74.14
187.07
236.13


CCR5
71.19
143.29
192.98
313.52


CD30/TNFRSF8
111.26
272.19
446.20
489.25


CV-2/
108.01
18.99
450.71
45.32


Crossveinless-2


CXCL16
44.67
293.17
389.68
380.72


D6
216.83
435.25
652.24
453.43


DAN
686.77
1,597.31
2,464.56
2,888.04


Decorin
461.00
1,900.72
4,089.23
3,161.92


Dkk-1
609.89
2,836.46
3,118.77
3,029.36


Dkk-3
863.26
6,466.27
5,277.86
6,745.95


EDA-A2
813.45
45,352.87
86,934.18
102,337.42


EDAR
578.49
1,715.75
2,752.31
3,558.44


Eotaxin/CCL11
1,498.32
559.22
563.75
583.23


FGF R5
674.85
1,554.38
2,334.15
2,276.60


IGFBP-2
1,230.33
11,164.80
22,591.35
23,988.15


IGFBP-3
1,211.38
4,239.29
5,899.29
7,880.22


IGFBP-rp1/
11,808.74
76,254.45
90,204.78
94,029.81


IGFBP-7


IL-5 R alpha
1,489.12
3,137.10
3,075.82
3,982.92


IL-12 R beta 2
2,022.94
4,457.84
6,617.74
7,987.21


Latent
922.82
4,029.66
7,681.24
6,544.87


TGF-beta bp1


LFA-1 alpha
611.51
1,354.79
1,250.51
1,524.15


MIP-3 beta
1,536.22
3,864.34
4,525.98
5,350.64


MMP-1
974.25
46,620.53
53,622.33
38,420.38


MMP-2
890.87
2,317.71
2,954.82
2,737.83


MMP-3
871.92
6,219.51
7,061.18
8,496.31


Nidogen-1
1,167.53
3,590.00
4,048.72
4,497.40


NrCam
1,193.52
2,442.48
3,271.70
3,210.07


Osteoprotegerin/
974.25
2,120.02
2,149.40
3,157.01


TNFRSF11B


Progranulin
653.74
1,963.25
2,328.68
1,521.58


Prdx
533.01
1,162.32
1,306.85
1,280.77


Soggy-1
966.13
2,179.15
1,993.02
2,347.68


Sonic Hedgehog
704.63
1,508.09
1,550.51
1,747.30


(Shh N-terminal)


SPARC
956.92
8,863.21
8,852.43
14,857.38


Spinesin
743.61
1,736.29
2,210.92
2,700.87


TIMP-1
1,295.84
14,201.02
16,620.57
25,661.55


TIMP-2
820.49
28,405.89
22,696.06
26,642.47


TIMP-3
559.00
1,753.62
2,267.47
2,468.84


TLR2
932.56
1,872.01
2,033.23
2,700.80


2B4
1.16
36.20
9.28
73.02


4-1BB
1.16
44.55
19.13
67.57


A1BG
1.16
114.05
42.87
115.12


A2M
211.47
1,600.89
1,136.95
2,328.91


ADAMTS-10
1,469.89
3,168.98
3,839.53
5,165.18


ADAMTS-19
1.16
50.06
361.51
207.95


ADAMTS-4
1.16
58.51
313.92
161.25


ADAMTS-5
1.16
11.18
286.18
218.20


ADAMTS-L2
1.16
69.63
559.99
726.19


Adipsin
1.16
1,233.42
5,756.54
1,943.35


Aldolase A
1.16
110.96
150.78
104.91


Aldolase B
1.16
33.13
50.87
26.21


Aldolase C
1.16
141.93
81.12
79.57


ALK
1.16
105.42
66.77
96.93


Alpha 1 AG
1.16
162.29
170.43
284.78


Alpha 1
1.16
306.58
234.13
591.28


Microglobulin


ALPP
183.08
513.50
455.35
786.07


ApoB
1.16
22.98
389.11
401.33


ApoD
1.16
270.70
422.17
411.17


ApoE
1.16
98.24
439.38
15.84


ApoE3
1.16
119.91
195.12
22.22


ApoH
1.16
185.87
170.33
65.28


ApoM
1.16
178.23
219.26
187.02


APP
1.16
2,545.55
2,551.79
2,560.93


ASPH
1.16
204.00
204.89
174.64


Attractin
1.16
127.47
150.90
118.11


B3GNT1
1.16
173.58
221.68
198.86


BAF57
1.16
198.59
218.13
216.41


BAFF
1.16
201.77
264.89
252.07


Beta 2M
412.52
2,635.25
3,669.88
3,451.24


Beta IG-H3
643.69
7,717.55
7,511.18
18,306.78


BNP
108.34
229.07
393.92
406.62


C5/C5a
1.16
48.23
291.43
211.11


C8B
2,329.69
18.40
329.57
450.97


C9
3,010.47
359.91
768.15
1,482.85


CA15-3
1.16
255.70
223.13
369.19


CA19-9
1.16
301.47
335.34
153.30


CA125
1.16
313.04
298.27
166.63


Cadherin-13
1.16
314.86
458.31
413.20


Calreticulin
39.98
175.45
256.30
252.87


Calsyntenin-1
1.16
137.85
305.11
182.14


CART
17.96
199.66
269.76
316.66


CD59
989.58
31.08
291.57
391.36


CD74
1.16
478.12
577.33
721.31


CD79 alpha
85.75
386.11
594.13
603.35


CD90
1.16
193.34
326.88
245.74


CEA
48.09
107.86
271.54
324.26


CEACAM-1
1.16
118.58
272.14
350.90


Ceruloplasmin
1.16
62.42
210.45
231.17


CFHR2
1.16
118.91
248.80
305.94


Chemerin
1.16
211.16
499.05
560.39


CHI3L1
97.34
386.78
668.44
1,240.82


COCO
115.88
42.75
434.58
442.03


Complement
1.16
29.70
358.92
357.02


factor H


Contactin-2
124.57
389.77
323.82
292.41


CRP
1.16
274.28
622.99
499.57


CRTAM
56.78
126.63
402.34
252.36


CutA
89.22
13.30
291.89
237.14


Cyclin D1
52.72
19.48
338.28
281.74


Cystatin C
13.33
156.76
371.89
435.83


Cytochrome C
1.16
147.29
447.82
533.46


Cytokeratin 8
1.74
186.03
461.25
570.57


EphA2
1.16
148.42
465.87
299.77


EphB4
1.16
170.38
488.75
535.43


Factor XIII A
18,130.02
48,560.06
59,351.02
79,043.79


Factor XIII B
690.04
1,868.35
2,488.59
3,152.99


FAP
1,625.17
129.78
490.19
468.82


Fen 1
45.19
136.69
484.46
581.16


Fetuin B
1.16
200.35
768.38
569.76


Fibrinogen
530.13
9,202.76
13,333.01
21,925.77


Fibrinopeptide A
276.94
692.98
1,348.75
2,031.59


Fibronectin
550.41
18,570.43
28,116.82
41,847.45


Ficolin-3
59.10
626.64
1,014.16
1,362.72


Galectin-7
513.91
1,083.84
1,486.76
2,699.46


gamma-Thrombin
47.51
233.70
586.83
667.71


GATA-4
2.32
54.24
469.00
453.90


Gelsolin
224.22
89.75
544.17
607.43


GMNN
1.16
245.25
695.85
527.85


GPBB
1.16
147.93
713.46
545.19


GPI
1.16
111.65
607.64
405.04


GPX1
281.58
592.73
829.28
926.51


GRP
298.38
938.00
1,120.75
1,747.49


GRP75
1.16
346.33
406.21
766.37


Hemopexin
99.65
246.91
522.14
645.26


HSP20
81.11
168.70
524.19
631.09


HSP27
265.94
954.61
1,434.63
1,441.15


HSP40
214.95
104.23
557.77
696.00


HSP60
213.79
83.41
553.85
708.74


HSP70
2.90
16.42
567.39
716.37


HSP90
145.42
20.96
615.34
588.50


Kallikrein 8
1.16
228.78
520.51
526.08


Kallikrein 10
23.18
244.84
551.24
672.79


Kallikrein 11
1.16
169.94
448.90
517.98


Kallikrein 14
1.16
218.18
482.29
582.76


KCC3
1.16
140.90
534.97
476.73


KCTD10
1.16
156.82
573.66
604.07


KIF3B
1.16
196.27
701.09
894.29


KLF4
67.21
184.46
773.71
1,038.51


LYVE-1
1.16
227.30
497.99
532.83


LZTS1
101.97
221.95
548.54
757.35


Mammaglobin A
1.16
217.39
428.96
742.71


Marapsin
64.31
234.40
378.03
602.72


MATK
39.40
323.89
628.50
759.82


MBL
45.77
332.55
576.16
784.43


MBL-2
151.80
421.26
753.06
1,394.77


Mesothelin
42.87
202.92
629.06
619.08


Neuropeptide Y
85.75
220.99
680.95
540.43


NF1
1.16
175.96
445.36
457.17


Notch-1
1.16
205.31
429.90
455.91


NPTX1
1.16
261.23
430.64
465.00


NPTXR
1.16
215.70
355.49
514.51


NR3C3
1.16
757.02
402.10
431.06


OCT3/4
61.99
297.65
514.87
566.50


PAI-1
20.86
701.04
1,662.47
2,454.59


PGRP-S
23.75
286.05
626.66
877.90


PI 16
1.16
154.88
632.80
830.47


PI 3Kinase
37.66
129.52
536.89
590.47


p85 beta


PIM2
1.16
50.27
360.55
363.27


PKM2
1.16
146.93
398.24
551.75


Plasminogen
1.16
1,137.55
3,677.66
3,358.75


Podocalyxin
1.16
189.31
509.40
505.68


PON1
1.16
304.75
492.62
452.95


PON2
1.16
110.61
499.41
690.37


PPARg2
53.30
214.39
683.36
575.00


PPP2R5C
133.26
295.86
929.31
915.39


Pro-Cathepsin B
68.95
299.96
745.63
529.31


Progesterone
1.16
68.74
446.96
353.70


pro-Glucagon
314.60
131.63
689.57
1,104.88


Prohibitin
1.16
84.54
303.03
379.16


Pro-MMP-7
1.16
110.58
328.87
359.80


ProSAAS
121.09
306.45
617.31
523.80


PSP
1.16
125.16
455.47
589.44


PTH
1.16
533.71
845.09
2,143.04


PTHLP
7,014.00
30,003.94
25,623.63
43,869.68


PTN
1.16
815.10
1,204.22
1,688.76


PYK2
1.16
122.90
485.82
801.01


PYY
165.12
386.93
1,005.10
1,993.06


Ras
66.63
3,697.36
8,124.49
14,353.17


RBP4
1.16
195.55
747.93
748.67


RECK
1.16
240.27
647.48
692.97


Resistin
1.16
125.17
600.75
581.38


RET
1.16
232.98
735.07
651.36


RIP1
1.16
115.00
672.18
355.42


ROR2
51.56
250.44
510.09
265.49


ROS
34.18
272.58
805.13
692.06


S100A4
25.49
106.27
548.25
557.05


S100A6
1.16
167.09
655.29
755.59


S100A8
1.16
63.15
530.90
625.94


S-100b
19.70
66.68
358.95
481.14


SCG3
35.92
135.93
542.17
474.98


Serpin A3
310.55
932.66
1,181.20
1,906.23


Serpin A4
1.16
119.99
622.57
642.78


Serpin A5
1.16
55.56
559.85
669.43


Serpin A9
1.16
19.85
496.21
526.73


Serpin A12
1.16
125.63
589.49
761.49


Serpin B5
1.16
66.45
466.03
420.79


Serpin D1
1.16
11.46
434.52
239.48


Serpin I1
1.16
6.19
510.88
365.53


SERTAD2
1.16
85.84
597.65
580.78


SHBG
1.16
128.57
859.98
562.89


SMAC
1.16
20.76
700.13
268.20


SPINK1
1.16
60.57
476.02
478.31


SSEA-1
1.16
125.19
629.99
603.41


SSEA-4
97.34
347.22
543.72
617.26


SSTR5
1.16
238.95
761.82
622.90


Syndecan-3
39.98
90.24
807.73
969.06


TAF4
1.16
32.94
647.13
518.04


TFF3
1.16
117.74
548.67
788.19


Thrombin
1.16
131.45
560.74
492.24


Thrombomodulin
1.16
108.75
488.74
359.09


Thymidine
1.16
84.36
529.55
418.31


Kinase-1


Thyroglobulin
1.16
629.61
570.80
376.26


TIM-1
1.16
134.86
564.46
450.91


TOPORS
1.16
156.34
667.07
423.96


TPA
1.16
158.32
707.80
364.07


TPM1
1.16
167.65
783.88
407.91


Trappin-2
48.67
120.79
542.44
524.63


TSLP
127.46
294.62
1,419.29
678.46


Tyk2
58.52
176.40
951.65
589.09


TYRO10
45.19
226.37
849.45
756.23


Vasopressin
1.16
141.88
670.52
460.77


VDUP-1
16.80
163.28
906.36
600.84


VEGF R1
1.16
144.03
609.10
429.33


VGF
1.16
71.98
563.05
315.72


VIP Receptor 2
1.16
127.08
609.75
265.00


Visfatin
1.16
175.82
825.67
463.03


Vitamin D-BP
88.07
201.02
629.39
212.06


Vitamin
1.16
188.38
488.99
279.33


K-dependent


protein S









Table 2 shows that a total of 231/616 (37.5%) of the proteins identified as Biologically Significant relative to Control were shared across all three (3) ethnic groups. The remaining 385/616 (62.5%) proteins demonstrated Biologically Significance in 2 or fewer of the sample groups.


Table 3 is a comparison of average production levels of the Asian (As) samples compared to African (Af) samples in the 231 shared, biologically significant proteins. Using the criteria of ≧25% increase/decrease in relative production levels as described in the protocol, Asian sample proteins were assessed as increased (one asterisk, “*”) or decreased production (three asterisks, “***”) than African samples.













TABLE 3








AS
AF



CONTROL
Average
Average



















BCMA/TNFRSF17
1.08
67.49***
208.10***


BAX
90.68
552.02*
357.12*


beta-NGF
199.51
358.85***
478.62***


CCL14/HCC-1/HCC-3
482.66
74.14***
187.07***


CCR5
71.19
143.29***
192.98***


CD30/TNFRSF8
111.26
272.19***
446.20***


CV-2/
108.01
18.99***
450.71***


Crossveinless-2


CXCL16
44.67
293.17
389.68


D6
216.83
435.25***
652.24***


DAN
686.77
1,597.31***
2,464.56***


Decorin
461.00
1,900.72***
4,089.23***


Dkk-1
609.89
2,836.46
3,118.77


Dkk-3
863.26
6,466.27
5,277.86


EDA-A2
813.45
45,352.87***
86,934.18***


EDAR
578.49
1,715.75***
2,752.31***


Eotaxin/CCL11
1,498.32
559.22
563.75


FGF R5
674.85
1,554.38***
2,334.15***


IGFBP-2
1,230.33
11,164.80***
22,591.35***


IGFBP-3
1,211.38
4,239.29***
5,899.29***


IGFBP-rp1/
11,808.74
76,254.45
90,204.78


IGFBP-7


IL-5 R alpha
1,489.12
3,137.10
3,075.82


IL-12 R beta 2
2,022.94
4,457.84***
6,617.74***


Latent
922.82
4,029.66***
7,681.24***


TGF-beta bp1


LFA-1 alpha
611.51
1,354.79
1,250.51


MIP-3 beta
1,536.22
3,864.34
4,525.98


MMP-1
974.25
46,620.53
53,622.33


MMP-2
890.87
2,317.71
2,954.82


MMP-3
871.92
6,219.51
7,061.18


Nidogen-1
1,167.53
3,590.00
4,048.72


NrCam
1,193.52
2,442.48***
3,271.70***


Osteoprotegerin/
974.25
2,120.02
2,149.40


TNFRSF11B


Progranulin
653.74
1,963.25
2,328.68


Prdx
533.01
1,162.32
1,306.85


Soggy-1
966.13
2,179.15
1,993.02


Sonic Hedgehog
704.63
1,508.09
1,550.51


(Shh N-terminal)


SPARC
956.92
8,863.21
8,852.43


Spinesin
743.61
1,736.29
2,210.92


TIMP-1
1,295.84
14,201.02
16,620.57


TIMP-2
820.49
28,405.89*
22,696.06*


TIMP-3
559.00
1,753.62
2,267.47


TLR2
932.56
1,872.01
2,033.23


2B4
1.16
36.20*
9.28*


4-1BB
1.16
44.55*
19.13*


A1BG
1.16
114.05*
42.87*


A2M
211.47
1,600.89*
1,136.95*


ADAMTS-10
1,469.89
3,168.98
3,839.53


ADAMTS-19
1.16
50.06***
361.51***


ADAMTS-4
1.16
58.51***
313.92***


ADAMTS-5
1.16
11.18***
286.18***


ADAMTS-L2
1.16
69.63***
559.99***


Adipsin
1.16
1,233.42***
5,756.54***


Aldolase A
1.16
110.96
150.78


Aldolase B
1.16
33.13***
50.87***


Aldolase C
1.16
141.93*
81.12*


ALK
1.16
105.42*
66.77*


Alpha 1 AG
1.16
162.29
170.43


Alpha 1
1.16
306.58*
234.13*


Microglobulin


ALPP
183.08
513.50
455.35


ApoB
1.16
22.98***
389.11***


ApoD
1.16
270.70***
422.17***


ApoE
1.16
98.24***
439.38***


ApoE3
1.16
119.91***
195.12***


ApoH
1.16
185.87
170.33


ApoM
1.16
178.23
219.26


APP
1.16
2,545.55
2,551.79


ASPH
1.16
204.00
204.89


Attractin
1.16
127.47
150.90


B3GNT1
1.16
173.58
221.68


BAF57
1.16
198.59
218.13


BAFF
1.16
201.77
264.89


Beta 2M
412.52
2,635.25***
3,669.88***


Beta IG-H3
643.69
7,717.55
7,511.18


BNP
108.34
229.07***
393.92***


C5/C5a
1.16
48.23***
291.43***


C8B
2,329.69
18.40***
329.57***


C9
3,010.47
359.91***
768.15***


CA15-3
1.16
255.70
223.13


CA19-9
1.16
301.47
335.34


CA125
1.16
313.04
298.27


Cadherin-13
1.16
314.86***
458.31***


Calreticulin
39.98
175.45***
256.30***


Calsyntenin-1
1.16
137.85***
305.11***


CART
17.96
199.66***
269.76***


CD59
989.58
31.08***
291.57***


CD74
1.16
478.12
577.33


CD79 alpha
85.75
386.11***
594.13***


CD90
1.16
193.34***
326.88***


CEA
48.09
107.86***
271.54***


CEACAM-1
1.16
118.58***
272.14***


Ceruloplasmin
1.16
62.42***
210.45***


CFHR2
1.16
118.91***
248.80***


Chemerin
1.16
211.16***
499.05***


CHI3L1
97.34
386.78***
668.44***


COCO
115.88
42.75***
434.58***


Complement
1.16
29.70***
358.92***


factor H


Contactin-2
124.57
389.77
323.82


CRP
1.16
274.28***
622.99***


CRTAM
56.78
126.63***
402.34***


CutA
89.22
13.30***
291.89***


Cyclin D1
52.72
19.48***
338.28***


Cystatin C
13.33
156.76***
371.89***


Cytochrome C
1.16
147.29***
447.82***


Cytokeratin 8
1.74
186.03***
461.25***


EphA2
1.16
148.42***
465.87***


EphB4
1.16
170.38***
488.75***


Factor XIII A
18,130.02
48,560.06
59,351.02


Factor XIII B
690.04
1,868.35
2,488.59


FAP
1,625.17
129.78***
490.19***


Fen 1
45.19
136.69***
484.46***


Fetuin B
1.16
200.35***
768.38***


Fibrinogen
530.13
9,202.76***
13,333.01***


Fibrinopeptide A
276.94
692.98***
1,348.75***


Fibronectin
550.41
18,570.43***
28,116.82***


Ficolin-3
59.10
626.64***
1,014.16***


Galectin-7
513.91
1,083.84***
1,486.76***


gamma-Thrombin
47.51
233.70***
586.83***


GATA-4
2.32
54.24***
469.00***


Gelsolin
224.22
89.75***
544.17***


GMNN
1.16
245.25***
695.85***


GPBB
1.16
147.93***
713.46***


GPI
1.16
111.65***
607.64***


GPX1
281.58
592.73***
829.28***


GRP
298.38
938.00
1,120.75


GRP75
1.16
346.33
406.21


Hemopexin
99.65
246.91***
522.14***


HSP20
81.11
168.70***
524.19***


HSP27
265.94
954.61***
1,434.63***


HSP40
214.95
104.23***
557.77***


HSP60
213.79
83.41***
553.85***


HSP70
2.90
16.42***
567.39***


HSP90
145.42
20.96***
615.34***


Kallikrein 8
1.16
228.78***
520.51***


Kallikrein 10
23.18
244.84***
551.24***


Kallikrein 11
1.16
169.94***
448.90***


Kallikrein 14
1.16
218.18***
482.29***


KCC3
1.16
140.90***
534.97***


KCTD10
1.16
156.82***
573.66***


KIF3B
1.16
196.27***
701.09***


KLF4
67.21
184.46***
773.71***


LYVE-1
1.16
227.30***
497.99***


LZTS1
101.97
221.95***
548.54***


Mammaglobin A
1.16
217.39***
428.96***


Marapsin
64.31
234.40***
378.03***


MATK
39.40
323.89***
628.50***


MBL
45.77
332.55***
576.16***


MBL-2
151.80
421.26***
753.06***


Mesothelin
42.87
202.92***
629.06***


Neuropeptide Y
85.75
220.99***
680.95***


NF1
1.16
175.96***
445.36***


Notch-1
1.16
205.31***
429.90***


NPTX1
1.16
261.23***
430.64***


NPTXR
1.16
215.70***
355.49***


NR3C3
1.16
757.02*
402.10*


OCT3/4
61.99
297.65***
514.87***


PAI-1
20.86
701.04***
1,662.47***


PGRP-S
23.75
286.05***
626.66***


PI 16
1.16
154.88***
632.80***


PI 3Kinase
37.66
129.52***
536.89***


p85 beta


PIM2
1.16
50.27***
360.55***


PKM2
1.16
146.93***
398.24***


Plasminogen
1.16
1,137.55***
3,677.66***


Podocalyxin
1.16
189.31***
509.40***


PON1
1.16
304.75***
492.62***


PON2
1.16
110.61***
499.41***


PPARg2
53.30
214.39***
683.36***


PPP2R5C
133.26
295.86***
929.31***


Pro-Cathepsin B
68.95
299.96***
745.63***


Progesterone
1.16
68.74***
446.96***


pro-Glucagon
314.60
131.63***
689.57***


Prohibitin
1.16
84.54***
303.03***


Pro-MMP-7
1.16
110.58***
328.87***


ProSAAS
121.09
306.45***
617.31***


PSP
1.16
125.16***
455.47***


PTH
1.16
533.71***
845.09***


PTHLP
7,014.00
30,003.94
25,623.63


PTN
1.16
815.10***
1,204.22***


PYK2
1.16
122.90***
485.82***


PYY
165.12
386.93***
1,005.10***


Ras
66.63
3,697.36***
8,124.49***


RBP4
1.16
195.55***
747.93***


RECK
1.16
240.27***
647.48***


Resistin
1.16
125.17***
600.75***


RET
1.16
232.98***
735.07***


RIP1
1.16
115.00***
672.18***


ROR2
51.56
250.44***
510.09***


ROS
34.18
272.58***
805.13***


S100A4
25.49
106.27***
548.25***


S100A6
1.16
167.09***
655.29***


S100A8
1.16
63.15***
530.90***


S-100b
19.70
66.68***
358.95***


SCG3
35.92
135.93***
542.17***


Serpin A3
310.55
932.66
1,181.20


Serpin A4
1.16
119.99***
622.57***


Serpin A5
1.16
55.56***
559.85***


Serpin A9
1.16
19.85***
496.21***


Serpin A12
1.16
125.63***
589.49***


Serpin B5
1.16
66.45***
466.03***


Serpin D1
1.16
11.46***
434.52***


Serpin I1
1.16
6.19***
510.88***


SERTAD2
1.16
85.84***
597.65***


SHBG
1.16
128.57***
859.98***


SMAC
1.16
20.76***
700.13***


SPINK1
1.16
60.57***
476.02***


SSEA-1
1.16
125.19***
629.99***


SSEA-4
97.34
347.22***
543.72***


SSTR5
1.16
238.95***
761.82***


Syndecan-3
39.98
90.24***
807.73***


TAF4
1.16
32.94***
647.13***


TFF3
1.16
117.74***
548.67***


Thrombin
1.16
131.45***
560.74***


Thrombomodulin
1.16
108.75***
488.74***


Thymidine
1.16
84.36***
529.55***


Kinase-1


Thyroglobulin
1.16
629.61
570.80


TIM-1
1.16
134.86***
564.46***


TOPORS
1.16
156.34***
667.07***


TPA
1.16
158.32***
707.80***


TPM1
1.16
167.65***
783.88***


Trappin-2
48.67
120.79***
542.44***


TSLP
127.46
294.62***
1,419.29***


Tyk2
58.52
176.40***
951.65***


TYRO10
45.19
226.37***
849.45***


Vasopressin
1.16
141.88***
670.52***


VDUP-1
16.80
163.28***
906.36***


VEGF R1
1.16
144.03***
609.10***


VGF
1.16
71.98***
563.05***


VIP Receptor 2
1.16
127.08***
609.75***


Visfatin
1.16
175.82***
825.67***


Vitamin D-BP
88.07
201.02***
629.39***


Vitamin
1.16
188.38***
488.99***


K-dependent


protein S









Table 3 shows that Asian samples relative to African samples demonstrated 25% difference in production levels in 183/231 (78%) of the compared proteins. Of those, only 10/182 (5%) demonstrated increase production levels relative to African samples. The remaining 172/182 (95%) demonstrated decreased production levels relative to African samples.


Table 4 is a comparison of average production levels of the Caucasian (Ca) samples compared to African (Af) samples in the 231 shared, biologically significant proteins. Using the criteria of ≧25% increase/decrease in relative production levels as described in the protocol, Caucasian (Ca) sample proteins were assessed as increased (one asterisk, “*”) or decreased production (three asterisks, “***”) than African samples.













TABLE 4








AF
CA



CONTROL
Average
Average



















BCMA/TNFRSF17
1.08
208.10
194.35


BAX
90.68
357.12*
759.17*


beta-NGF
199.51
478.62*
897.43*


CCL14/HCC-1/HCC-3
482.66
187.07*
236.13*


CCR5
71.19
192.98*
313.52*


CD30/TNFRSF8
111.26
446.20
489.25


CV-2/
108.01
450.71***
45.32***


Crossveinless-2


CXCL16
44.67
389.68
380.72


D6
216.83
652.24***
453.43***


DAN
686.77
2,464.56
2,888.04


Decorin
461.00
4,089.23
3,161.92


Dkk-1
609.89
3,118.77
3,029.36


Dkk-3
863.26
5,277.86*
6,745.95*


EDA-A2
813.45
86,934.18
102,337.42


EDAR
578.49
2,752.31*
3,558.44*


Eotaxin/CCL11
1,498.32
563.75
583.23


FGF R5
674.85
2,334.15
2,276.60


IGFBP-2
1,230.33
22,591.35
23,988.15


IGFBP-3
1,211.38
5,899.29*
7,880.22*


IGFBP-rp1/
11,808.74
90,204.78
94,029.81


IGFBP-7


IL-5 R alpha
1,489.12
3,075.82*
3,982.92*


IL-12 R beta 2
2,022.94
6,617.74
7,987.21


Latent
922.82
7,681.24
6,544.87


TGF-beta bp1


LFA-1 alpha
611.51
1,250.51
1,524.15


MIP-3 beta
1,536.22
4,525.98
5,350.64


MMP-1
974.25
53,622.33***
38,420.38***


MMP-2
890.87
2,954.82
2,737.83


MMP-3
871.92
7,061.18
8,496.31


Nidogen-1
1,167.53
4,048.72
4,497.40


NrCam
1,193.52
3,271.70
3,210.07


Osteoprotegerin/
974.25
2,149.40*
3,157.01*


TNFRSF11B


Progranulin
653.74
2,328.68***
1,521.58***


Prdx
533.01
1,306.85
1,280.77


Soggy-1
966.13
1,993.02
2,347.68


Sonic Hedgehog
704.63
1,550.51
1,747.30


(Shh N-terminal)


SPARC
956.92
8,852.43*
14,857.38*


Spinesin
743.61
2,210.92
2,700.87


TIMP-1
1,295.84
16,620.57*
25,661.55*


TIMP-2
820.49
22,696.06
26,642.47


TIMP-3
559.00
2,267.47
2,468.84


TLR2
932.56
2,033.23*
2,700.80*


2B4
1.16
9.28*
73.02*


4-1BB
1.16
19.13*
67.57*


A1BG
1.16
42.87*
115.12*


A2M
211.47
1,136.95*
2,328.91*


ADAMTS-10
1,469.89
3,839.53*
5,165.18*


ADAMTS-19
1.16
361.51***
207.95***


ADAMTS-4
1.16
313.92***
161.25***


ADAMTS-5
1.16
286.18
218.20


ADAMTS-L2
1.16
559.99*
726.19*


Adipsin
1.16
5,756.54***
1,943.35***


Aldolase A
1.16
150.78
104.91


Aldolase B
1.16
50.87***
26.21***


Aldolase C
1.16
81.12
79.57


ALK
1.16
66.77*
96.93*


Alpha 1 AG
1.16
170.43*
284.78*


Alpha 1
1.16
234.13*
591.28*


Microglobulin


ALPP
183.08
455.35*
786.07*


ApoB
1.16
389.11
401.33


ApoD
1.16
422.17
411.17


ApoE
1.16
439.38***
15.84***


ApoE3
1.16
195.12***
22.22***


ApoH
1.16
170.33***
65.28***


ApoM
1.16
219.26
187.02


APP
1.16
2,551.79
2,560.93


ASPH
1.16
204.89
174.64


Attractin
1.16
150.90
118.11


B3GNT1
1.16
221.68
198.86


BAF57
1.16
218.13
216.41


BAFF
1.16
264.89
252.07


Beta 2M
412.52
3,669.88
3,451.24


Beta IG-H3
643.69
7,511.18*
18,306.78*


BNP
108.34
393.92
406.62


C5/C5a
1.16
291.43
211.11


C8B
2,329.69
329.57*
450.97*


C9
3,010.47
768.15*
1,482.85*


CA15-3
1.16
223.13*
369.19*


CA19-9
1.16
335.34***
153.30***


CA125
1.16
298.27***
166.63***


Cadherin-13
1.16
458.31
413.20


Calreticulin
39.98
256.30
252.87


Calsyntenin-1
1.16
305.11***
182.14***


CART
17.96
269.76
316.66


CD59
989.58
291.57*
391.36*


CD74
1.16
577.33
721.31


CD79 alpha
85.75
594.13
603.35


CD90
1.16
326.88
245.74


CEA
48.09
271.54
324.26


CEACAM-1
1.16
272.14*
350.90*


Ceruloplasmin
1.16
210.45
231.17


CFHR2
1.16
248.80
305.94


Chemerin
1.16
499.05
560.39


CHI3L1
97.34
668.44*
1,240.82*


COCO
115.88
434.58
442.03


Complement
1.16
358.92
357.02


factor H


Contactin-2
124.57
323.82
292.41


CRP
1.16
622.99
499.57


CRTAM
56.78
402.34***
252.36***


CutA
89.22
291.89
237.14


Cyclin D1
52.72
338.28
281.74


Cystatin C
13.33
371.89
435.83


Cytochrome C
1.16
447.82
533.46


Cytokeratin 8
1.74
461.25
570.57


EphA2
1.16
465.87***
299.77***


EphB4
1.16
488.75
535.43


Factor XIII A
18,130.02
59,351.02*
79,043.79*


Factor XIII B
690.04
2,488.59*
3,152.99*


FAP
1,625.17
490.19
468.82


Fen 1
45.19
484.46
581.16


Fetuin B
1.16
768.38***
569.76***


Fibrinogen
530.13
13,333.01*
21,925.77*


Fibrinopeptide A
276.94
1,348.75*
2,031.59*


Fibronectin
550.41
28,116.82*
41,847.45*


Ficolin-3
59.10
1,014.16*
1,362.72*


Galectin-7
513.91
1,486.76*
2,699.46*


gamma-Thrombin
47.51
586.83
667.71


GATA-4
2.32
469.00
453.90


Gelsolin
224.22
544.17
607.43


GMNN
1.16
695.85
527.85


GPBB
1.16
713.46
545.19


GPI
1.16
607.64***
405.04***


GPX1
281.58
829.28
926.51


GRP
298.38
1,120.75*
1,747.49*


GRP75
1.16
406.21*
766.37*


Hemopexin
99.65
522.14
645.26


HSP20
81.11
524.19
631.09


HSP27
265.94
1,434.63
1,441.15


HSP40
214.95
557.77
696.00


HSP60
213.79
553.85*
708.74*


HSP70
2.90
567.39*
716.37*


HSP90
145.42
615.34
588.50


Kallikrein 8
1.16
520.51
526.08


Kallikrein 10
23.18
551.24
672.79


Kallikrein 11
1.16
448.90
517.98


Kallikrein 14
1.16
482.29
582.76


KCC3
1.16
534.97
476.73


KCTD10
1.16
573.66
604.07


KIF3B
1.16
701.09*
894.29*


KLF4
67.21
773.71*
1,038.51*


LYVE-1
1.16
497.99
532.83


LZTS1
101.97
548.54*
757.35*


Mammaglobin A
1.16
428.96*
742.71*


Marapsin
64.31
378.03*
602.72*


MATK
39.40
628.50
759.82


MBL
45.77
576.16*
784.43*


MBL-2
151.80
753.06*
1,394.77*


Mesothelin
42.87
629.06
619.08


Neuropeptide Y
85.75
680.95
540.43


NF1
1.16
445.36
457.17


Notch-1
1.16
429.90
455.91


NPTX1
1.16
430.64
465.00


NPTXR
1.16
355.49*
514.51*


NR3C3
1.16
402.10
431.06


OCT3/4
61.99
514.87
566.50


PAI-1
20.86
1,662.47*
2,454.59*


PGRP-S
23.75
626.66*
877.90*


PI 16
1.16
632.80*
830.47*


PI 3Kinase
37.66
536.89
590.47


p85 beta


PIM2
1.16
360.55
363.27


PKM2
1.16
398.24*
551.75*


Plasminogen
1.16
3,677.66
3,358.75


Podocalyxin
1.16
509.40
505.68


PON1
1.16
492.62
452.95


PON2
1.16
499.41*
690.37*


PPARg2
53.30
683.36
575.00


PPP2R5C
133.26
929.31
915.39


Pro-Cathepsin B
68.95
745.63***
529.31***


Progesterone
1.16
446.96
353.70


pro-Glucagon
314.60
689.57*
1,104.88*


Prohibitin
1.16
303.03
379.16


Pro-MMP-7
1.16
328.87
359.80


ProSAAS
121.09
617.31
523.80


PSP
1.16
455.47*
589.44*


PTH
1.16
845.09*
2,143.04*


PTHLP
7,014.00
25,623.63*
43,869.68*


PTN
1.16
1,204.22*
1,688.76*


PYK2
1.16
485.82*
801.01*


PYY
165.12
1,005.10*
1,993.06*


Ras
66.63
8,124.49*
14,353.17*


RBP4
1.16
747.93
748.67


RECK
1.16
647.48
692.97


Resistin
1.16
600.75
581.38


RET
1.16
735.07
651.36


RIP1
1.16
672.18***
355.42***


ROR2
51.56
510.09***
265.49***


ROS
34.18
805.13
692.06


S100A4
25.49
548.25
557.05


S100A6
1.16
655.29
755.59


S100A8
1.16
530.90
625.94


S-100b
19.70
358.95
481.14


SCG3
35.92
542.17
474.98


Serpin A3
310.55
1,181.20*
1,906.23*


Serpin A4
1.16
622.57
642.78


Serpin A5
1.16
559.85
669.43


Serpin A9
1.16
496.21
526.73


Serpin A12
1.16
589.49*
761.49*


Serpin B5
1.16
466.03
420.79


Serpin D1
1.16
434.52***
239.48***


Serpin I1
1.16
510.88***
365.53***


SERTAD2
1.16
597.65
580.78


SHBG
1.16
859.98***
562.89***


SMAC
1.16
700.13***
268.20***


SPINK1
1.16
476.02
478.31


SSEA-1
1.16
629.99
603.41


SSEA-4
97.34
543.72
617.26


SSTR5
1.16
761.82
622.90


Syndecan-3
39.98
807.73
969.06


TAF4
1.16
647.13
518.04


TFF3
1.16
548.67*
788.19*


Thrombin
1.16
560.74
492.24


Thrombomodulin
1.16
488.74***
359.09***


Thymidine
1.16
529.55
418.31


Kinase-1


Thyroglobulin
1.16
570.80***
376.26***


TIM-1
1.16
564.46
450.91


TOPORS
1.16
667.07***
423.96***


TPA
1.16
707.80***
364.07***


TPM1
1.16
783.88***
407.91***


Trappin-2
48.67
542.44
524.63


TSLP
127.46
1,419.29***
678.46***


Tyk2
58.52
951.65***
589.09***


TYRO10
45.19
849.45
756.23


Vasopressin
1.16
670.52***
460.77***


VDUP-1
16.80
906.36***
600.84***


VEGF R1
1.16
609.10***
429.33***


VGF
1.16
563.05***
315.72***


VIP Receptor 2
1.16
609.75***
265.00***


Visfatin
1.16
825.67***
463.03***


Vitamin D-BP
88.07
629.39***
212.06***


Vitamin
1.16
488.99***
279.33***


K-dependent


protein S









Table 4 shows that Caucasian samples relative to African samples demonstrated 25% difference in production levels in 104/231 (45%) of the compared proteins. Of those, only 64/104 (62%) demonstrated increase production levels relative to African samples. The remaining 40/104 (38%) demonstrated decreased production levels relative to African samples.


Table 5 is a comparison of average production levels of the Caucasian (Ca) samples compared to Asian (As) samples in the 231 shared, biologically significant proteins. Using the criteria of ≧25% increase/decrease in relative production levels as described in the protocol, Caucasian (Ca) sample proteins were assessed as increased (one asterisk, “*”) or decreased production (three asterisks, “***”) than African samples.













TABLE 5








AS
CA



CONTROL
Average
Average



















BCMA/TNFRSF17
1.08
67.49*
194.35*


BAX
90.68
552.02*
759.17*


beta-NGF
199.51
358.85*
897.43*


CCL14/HCC-1/HCC-3
482.66
74.14*
236.13*


CCR5
71.19
143.29*
313.52*


CD30/TNFRSF8
111.26
272.19*
489.25*


CV-2/
108.01
18.99*
45.32*


Crossveinless-2


CXCL16
44.67
293.17*
380.72*


D6
216.83
435.25
453.43


DAN
686.77
1,597.31*
2,888.04*


Decorin
461.00
1,900.72*
3,161.92*


Dkk-1
609.89
2,836.46
3,029.36


Dkk-3
863.26
6,466.27
6,745.95


EDA-A2
813.45
45,352.87*
102,337.42*


EDAR
578.49
1,715.75*
3,558.44*


Eotaxin/CCL11
1,498.32
559.22
583.23


FGF R5
674.85
1,554.38*
2,276.60*


IGFBP-2
1,230.33
11,164.80*
23,988.15*


IGFBP-3
1,211.38
4,239.29*
7,880.22*


IGFBP-rp1/
11,808.74
76,254.45
94,029.81


IGFBP-7


IL-5 R alpha
1,489.12
3,137.10*
3,982.92*


IL-12 R beta 2
2,022.94
4,457.84*
7,987.21*


Latent
922.82
4,029.66*
6,544.87*


TGF-beta bp1


LFA-1 alpha
611.51
1,354.79
1,524.15


MIP-3 beta
1,536.22
3,864.34*
5,350.64*


MMP-1
974.25
46,620.53
38,420.38


MMP-2
890.87
2,317.71
2,737.83


MMP-3
871.92
6,219.51*
8,496.31*


Nidogen-1
1,167.53
3,590.00*
4,497.40*


NrCam
1,193.52
2,442.48*
3,210.07*


Osteoprotegerin/
974.25
2,120.02*
3,157.01*


TNFRSF11B


Progranulin
653.74
1,963.25
1,521.58


Prdx
533.01
1,162.32
1,280.77


Soggy-1
966.13
2,179.15
2,347.68


Sonic Hedgehog
704.63
1,508.09
1,747.30


(Shh N-terminal)


SPARC
956.92
8,863.21*
14,857.38*


Spinesin
743.61
1,736.29*
2,700.87*


TIMP-1
1,295.84
14,201.02*
25,661.55*


TIMP-2
820.49
28,405.89
26,642.47


TIMP-3
559.00
1,753.62*
2,468.84*


TLR2
932.56
1,872.01*
2,700.80*


2B4
1.16
36.20*
73.02*


4-1BB
1.16
44.55*
67.57*


A1BG
1.16
114.05
115.12


A2M
211.47
1,600.89*
2,328.91*


ADAMTS-10
1,469.89
3,168.98*
5,165.18*


ADAMTS-19
1.16
50.06*
207.95*


ADAMTS-4
1.16
58.51*
161.25*


ADAMTS-5
1.16
11.18*
218.20*


ADAMTS-L2
1.16
69.63*
726.19*


Adipsin
1.16
1,233.42*
1,943.35*


Aldolase A
1.16
110.96
104.91


Aldolase B
1.16
33.13
26.21


Aldolase C
1.16
141.93***
79.57***


ALK
1.16
105.42
96.93


Alpha 1 AG
1.16
162.29*
284.78*


Alpha 1
1.16
306.58*
591.28*


Microglobulin


ALPP
183.08
513.50*
786.07*


ApoB
1.16
22.98*
401.33*


ApoD
1.16
270.70*
411.17*


ApoE
1.16
98.24***
15.84***


ApoE3
1.16
119.91***
22.22***


ApoH
1.16
185.87***
65.28***


ApoM
1.16
178.23
187.02


APP
1.16
2,545.55
2,560.93


ASPH
1.16
204.00
174.64


Attractin
1.16
127.47
118.11


B3GNT1
1.16
173.58
198.86


BAF57
1.16
198.59
216.41


BAFF
1.16
201.77
252.07


Beta 2M
412.52
2,635.25*
3,451.24*


Beta IG-H3
643.69
7,717.55*
18,306.78*


BNP
108.34
229.07*
406.62*


C5/C5a
1.16
48.23*
211.11*


C8B
2,329.69
18.40*
450.97*


C9
3,010.47
359.91*
1,482.85*


CA15-3
1.16
255.70*
369.19*


CA19-9
1.16
301.47***
153.30***


CA125
1.16
313.04***
166.63***


Cadherin-13
1.16
314.86*
413.20*


Calreticulin
39.98
175.45*
252.87*


Calsyntenin-1
1.16
137.85*
182.14*


CART
17.96
199.66*
316.66*


CD59
989.58
31.08*
391.36*


CD74
1.16
478.12*
721.31*


CD79 alpha
85.75
386.11*
603.35*


CD90
1.16
193.34*
245.74*


CEA
48.09
107.86*
324.26*


CEACAM-1
1.16
118.58*
350.90*


Ceruloplasmin
1.16
62.42*
231.17*


CFHR2
1.16
118.91*
305.94*


Chemerin
1.16
211.16*
560.39*


CHI3L1
97.34
386.78*
1,240.82*


COCO
115.88
42.75*
442.03*


Complement
1.16
29.70*
357.02*


factor H


Contactin-2
124.57
389.77
292.41


CRP
1.16
274.28*
499.57*


CRTAM
56.78
126.63*
252.36*


CutA
89.22
13.30*
237.14*


Cyclin D1
52.72
19.48*
281.74*


Cystatin C
13.33
156.76*
435.83*


Cytochrome C
1.16
147.29*
533.46*


Cytokeratin 8
1.74
186.03*
570.57*


EphA2
1.16
148.42*
299.77*


EphB4
1.16
170.38*
535.43*


Factor XIII A
18,130.02
48,560.06*
79,043.79*


Factor XIII B
690.04
1,868.35*
3,152.99*


FAP
1,625.17
129.78*
468.82*


Fen 1
45.19
136.69*
581.16*


Fetuin B
1.16
200.35*
569.76*


Fibrinogen
530.13
9,202.76*
21,925.77*


Fibrinopeptide A
276.94
692.98*
2,031.59*


Fibronectin
550.41
18,570.43*
41,847.45*


Ficolin-3
59.10
626.64*
1,362.72*


Galectin-7
513.91
1,083.84*
2,699.46*


gamma-Thrombin
47.51
233.70*
667.71*


GATA-4
2.32
54.24*
453.90*


Gelsolin
224.22
89.75*
607.43*


GMNN
1.16
245.25*
527.85*


GPBB
1.16
147.93*
545.19*


GPI
1.16
111.65*
405.04*


GPX1
281.58
592.73*
926.51*


GRP
298.38
938.00*
1,747.49*


GRP75
1.16
346.33*
766.37*


Hemopexin
99.65
246.91*
645.26*


HSP20
81.11
168.70*
631.09*


HSP27
265.94
954.61*
1,441.15*


HSP40
214.95
104.23*
696.00*


HSP60
213.79
83.41*
708.74*


HSP70
2.90
16.42*
716.37*


HSP90
145.42
20.96*
588.50*


Kallikrein 8
1.16
228.78*
526.08*


Kallikrein 10
23.18
244.84*
672.79*


Kallikrein 11
1.16
169.94*
517.98*


Kallikrein 14
1.16
218.18*
582.76*


KCC3
1.16
140.90*
476.73*


KCTD10
1.16
156.82*
604.07*


KIF3B
1.16
196.27*
894.29*


KLF4
67.21
184.46*
1,038.51*


LYVE-1
1.16
227.30*
532.83*


LZTS1
101.97
221.95*
757.35*


Mammaglobin A
1.16
217.39*
742.71*


Marapsin
64.31
234.40*
602.72*


MATK
39.40
323.89*
759.82*


MBL
45.77
332.55*
784.43*


MBL-2
151.80
421.26*
1,394.77*


Mesothelin
42.87
202.92*
619.08*


Neuropeptide Y
85.75
220.99*
540.43*


NF1
1.16
175.96*
457.17*


Notch-1
1.16
205.31*
455.91*


NPTX1
1.16
261.23*
465.00*


NPTXR
1.16
215.70*
514.51*


NR3C3
1.16
757.02***
431.06***


OCT3/4
61.99
297.65*
566.50*


PAI-1
20.86
701.04*
2,454.59*


PGRP-S
23.75
286.05*
877.90*


PI 16
1.16
154.88*
830.47*


PI 3Kinase
37.66
129.52*
590.47*


p85 beta


PIM2
1.16
50.27*
363.27*


PKM2
1.16
146.93*
551.75*


Plasminogen
1.16
1,137.55*
3,358.75*


Podocalyxin
1.16
189.31*
505.68*


PON1
1.16
304.75*
452.95*


PON2
1.16
110.61*
690.37*


PPARg2
53.30
214.39*
575.00*


PPP2R5C
133.26
295.86*
915.39*


Pro-Cathepsin B
68.95
299.96*
529.31*


Progesterone
1.16
68.74*
353.70*


pro-Glucagon
314.60
131.63*
1,104.88*


Prohibitin
1.16
84.54*
379.16*


Pro-MMP-7
1.16
110.58*
359.80*


ProSAAS
121.09
306.45*
523.80*


PSP
1.16
125.16*
589.44*


PTH
1.16
533.71*
2,143.04*


PTHLP
7,014.00
30,003.94*
43,869.68*


PTN
1.16
815.10*
1,688.76*


PYK2
1.16
122.90*
801.01*


PYY
165.12
386.93*
1,993.06*


Ras
66.63
3,697.36*
14,353.17*


RBP4
1.16
195.55*
748.67*


RECK
1.16
240.27*
692.97*


Resistin
1.16
125.17*
581.38*


RET
1.16
232.98*
651.36*


RIP1
1.16
115.00*
355.42*


ROR2
51.56
250.44
265.49


ROS
34.18
272.58*
692.06*


S100A4
25.49
106.27*
557.05*


S100A6
1.16
167.09*
755.59*


S100A8
1.16
63.15*
625.94*


S-100b
19.70
66.68*
481.14*


SCG3
35.92
135.93*
474.98*


Serpin A3
310.55
932.66*
1,906.23*


Serpin A4
1.16
119.99*
642.78*


Serpin A5
1.16
55.56*
669.43*


Serpin A9
1.16
19.85*
526.73*


Serpin A12
1.16
125.63*
761.49*


Serpin B5
1.16
66.45*
420.79*


Serpin D1
1.16
11.46*
239.48*


Serpin I1
1.16
6.19*
365.53*


SERTAD2
1.16
85.84*
580.78*


SHBG
1.16
128.57*
562.89*


SMAC
1.16
20.76*
268.20*


SPINK1
1.16
60.57*
478.31*


SSEA-1
1.16
125.19*
603.41*


SSEA-4
97.34
347.22*
617.26*


SSTR5
1.16
238.95*
622.90*


Syndecan-3
39.98
90.24*
969.06*


TAF4
1.16
32.94*
518.04*


TFF3
1.16
117.74*
788.19*


Thrombin
1.16
131.45*
492.24*


Thrombomodulin
1.16
108.75*
359.09*


Thymidine
1.16
84.36*
418.31*


Kinase-1


Thyroglobulin
1.16
629.61***
376.26***


TIM-1
1.16
134.86*
450.91*


TOPORS
1.16
156.34*
423.96*


TPA
1.16
158.32*
364.07*


TPM1
1.16
167.65*
407.91*


Trappin-2
48.67
120.79*
524.63*


TSLP
127.46
294.62*
678.46*


Tyk2
58.52
176.40*
589.09*


TYRO10
45.19
226.37*
756.23*


Vasopressin
1.16
141.88*
460.77*


VDUP-1
16.80
163.28*
600.84*


VEGF R1
1.16
144.03*
429.33*


VGF
1.16
71.98*
315.72*


VIP Receptor 2
1.16
127.08*
265.00*


Visfatin
1.16
175.82*
463.03*


Vitamin D-BP
88.07
201.02
212.06


Vitamin
1.16
188.38*
279.33*


K-dependent


protein S









Table 5 shows that Caucasian samples relative to Asian samples demonstrated 25% difference in production levels in 204/231 (88%) of the compared proteins. Of those, 196/204 (96%) demonstrated increase production levels relative to Asian samples. The remaining 8/204 (4%) demonstrated decreased production levels relative to Asian samples.


Table 6 is a list (and directional indication relative to Control) of Biologically Significant (≧2-fold dysregulation) proteins unique to each sample group.











TABLE 6





Biologically
Biologically
Biologically


Significant Proteins
Significant Proteins
Significant Proteins


With Values Uniquely
With Values Uniquely
With Values Uniquely


Dysregulated Rela-
Dysregulated Rela-
Dysregulated Rela-


tive to Control In
tive to Control In
tive to Control In


Asian Group
African Group
Caucasian Group







6Ckine ↓
CXCR1 ↑
Angiogenin ↑


Angiopoietin 4 ↓
CXCR4 ↑
BIK ↑


Angiopoietin Like 1 ↓
Endostatin ↑
BMP2 ↑


Angiopoietin like 2 ↓
GDF5 ↑
BMP3 ↑


Angiopoietin like
GFR Alpha3 ↑
BMP3b ↑


Factor↓
GLUT3 ↑
BMP4 ↑


Angiostatin ↓
Glypican 5 ↑
BMP5 ↑


BMP 15 ↓
Musk ↑
BMP6 ↑


BMPR-1A/ALK3 ↓
SMAD 4 ↑
CCR7 ↑


BMPR-1B/ALK 6 ↓
SMAD 5 ↑
CD40 Ligand ↑


CCR1 ↓
SMAD 7 ↑
Cerberus 1 ↑


CCR2 ↓
BCAM ↑
Chem R23 ↑


CCR3 ↓
Contactin ↑
Chordin Like 2 ↑


CRTH-2 ↓
Cytokeratin 19 ↑
CXCR6 ↑


Cryptic ↓
Endothelin RA ↑
Follistatin ↑


CTGF ↓
GPR 39 ↑
GFR-Alpha 2 ↑


CTLA-4 ↓
Osteocalcin ↑
GITR ↑


EG-VEGF ↓
P21 ↑
GITR Ligand ↑


FAM 3B ↑
Presenilin 1↑
ICAM 3 ↑


FGF8 ↓
Presenilin 2 ↑
ICAM 5 ↑


GCSF ↓
ROR1 ↑
IL1 R9 ↑


CD114 ↓
SOX17 ↑
IL1 RA ↑


Hepassocin ↓
SOX2 ↑
IL1 sRI ↑


GLO-1 ↓
SYK ↑
IL3 ↑


HGF ↓
TRA-1-60 ↑
IL6 ↑


HGF-R ↓
TRA-1-81 ↑
IL13 Alpha 2 ↑


IL1-Beta ↓
Transferrin ↑
IL15R Alpha ↑


IL1-F7 ↓
Trypsin 1 ↑
IL17 RD ↑


IL1-F9 ↓

Leptin ↑


MCP3 ↓

LIF ↑


MCP4 ↓

LIF R Alpha ↑


ROBO4 ↑

LRP1 ↑


ADAMTS-13 ↓

MIP 1A ↑


ADAMTS-15 ↓

MIP 3 Alpha ↑


ADAMTS-17 ↓

NOV ↑


Annexin A7 ↓

S100A8 ↑


APC ↓

sFRP 4 ↑


Apex1 ↓

TACI ↑


ApoA2 ↓

Tarc ↑


APoB100 ↓

TGF beta 3↑


Apo C2 ↓

Thymopoeitin ↑


BMP 9 ↓

TIE 2 ↑


C3A ↓

TIMP 4 ↑


C7 ↓

TL1A ↑


Cathepsin L ↓

TLR1 ↑


Cathepsin S ↓

TLR3 ↑


CCK ↓

TLR4 ↑


CD23 ↓

TMEFF1 ↑


CD24 ↓

TNF Alpha ↑


CD36 ↓

TNF Beta ↑


CD38 ↓

TNF RI ↑


CD44 ↓

TROY ↑


CD45 ↓

uPA ↑


CD46 ↓

uPAR ↑


CD55 ↓

Vasorin ↑


CD61 ↓

VCAM-1 ↑


CK Beta 8-1 ↓

VE-Cadherin ↑


CK-MB ↓

VEGF ↑


Claudin 3 ↓

VEGF R2 ↑


Claudin 4 ↓

VEGF R3 ↑


CLEC3B ↓

VEGF B↑


Clusterin ↓

XEDAR ↑


CNDP1 ↓

ACE-2 ↑


CPN2 ↓

ACPP ↑


cTnT ↓

ACTH ↑


DBI ↓

ADAM 9 ↑


DCBLD2 ↓

AMICA ↑


DEFA 1/3 ↓

AMPKa1 ↑


Defensin ↓

CA9 ↑


Desmin ↓

Calbindin D ↑


DLL1 ↓

Caspase 8 ↑


DLL4 ↓

Cathepsin B ↑


E-Cadherin ↓

Cathepsin D ↑


Endorphin Beta ↓

Chymase ↑


EphA4 ↓

FGFR ↑


EphA5 ↓

Galanin ↑


AphA7 ↓

GRP78 ↑


EphA8 ↓

GSR ↑


EphB1 ↓

HADHA ↑


EphB2 ↓

Hck ↑


ESAM ↓

HOXA10 ↑


EV15L ↓

HTRA2 ↑


FABP1 ↓

IL-23p19 ↑


FABP2 ↓

IL-33 ↑


FAK ↓

LH ↑


FcRIIB/C ↓

LPS ↑


Ferritin ↓

LYRIC ↑


Fetuin A ↓

PAK7 ↑


FoxP3 ↓

Serpin A8 ↑


Fyn ↓


Gastrin ↓


GATA3 ↓


Ghrelin ↓


GLP-1 ↓


LAG-3 ↓


Layilin ↓


LDL R ↓


Legumain ↓


LRG ↓


Midkine ↓


MINA↓


MSHa ↓


MTUS1 ↓


Myoglobin ↓


NAIP ↓


Nanog ↓


Nestin ↓


NET1 ↓


Netrin-4 ↓


P27 ↓


P53 ↓


Pancreastatin ↓


Pancreatic Polypeptide ↓


Pappalysin-1 ↓


ROCK1 ↓


SOST ↓









Table 6 shows that Asian samples demonstrated unique dysregulation (primarily less production than Control in all but two (2) instances) in 114/1000 {11.4%} proteins. African samples demonstrated unique dysregulation (all demonstrated greater production than Control) in 30/1000 {3%} proteins. Caucasian samples demonstrated unique dysregulation (all demonstrated greater production than Control) in 88/1000 {8.8%} proteins.


Table 7 is a list (with directional indication relative to comparator) of Statistically Significant (≧0.05) proteins for African relative to Asian.













TABLE 7









Mann-Whitney U test



African Relative
Fold
p < 0.05, significant



to Asian
Change
difference




















Contactin-1
4.785894
0.002



RBP4
3.833005
0.002



S100A8
8.433062
0.002



Selenoprotein P
464.1391
0.002



SOX2
19.86845
0.002



SRMS
4.999207
0.002



SSEA-1
5.044852
0.002



TRA-1-60
14.72112
0.002



Trappin-2
5.165469
0.002



TSLP
6.735374
0.002



VDUP-1
5.84716
0.002



GDF3
6.088395
0.004



FGFR1 alpha
8.376882
0.004



PAI-1
2.413475
0.004



pro-Glucagon
20.06152
0.004



RELM alpha
4.326569
0.004



Serpin A12
4.718214
0.004



SPINK1
7.882159
0.004



Tec
27.83664
0.004



Transferrin
8.263479
0.004



TRKB
6.809241
0.004



TXK
3.26606
0.004



Smad 4
14.28682
0.009



FGFR1
6.441568
0.009



Kallikrein 5
3.86346
0.009



NM23-H1/H2
5.984695
0.009



Plasminogen
3.235235
0.009



ROS
3.08605
0.009



S100A4
5.34344
0.009



Serping 1
8.999197
0.009



Serpin A8
8.339236
0.009



SYK
13.80922
0.009



TRA-1-81
5.74969
0.009



Trypsin 1
12.7068
0.009



GDF11
59.09495
0.015



Clusterin
322.4728
0.015



cTnT
184.3612
0.015



CutA
217.5524
0.015



Cyclin D1
27.38391
0.015



Cystatin A
9.459818
0.015



Defensin
227.0208
0.015



Desmin
348.2456
0.015



DLL4
356.3274
0.015



FGFR2
13.38653
0.015



Fibrinogen
1.47624
0.015



Fibrinopeptide A
2.450378
0.015



Gas1
7.062109
0.015



Gastrin
229.4557
0.015



GATA-3
226.9231
0.015



Gelsolin
19.97257
0.015



Ghrelin
222.7011
0.015



GLP-1
230.2016
0.015



HSP32
131.6209
0.015



HSP60
31.54389
0.015



HSP90
494.1763
0.015



Omentin
7.116758
0.015



PIM2
7.22723
0.015



S100A6
3.931869
0.015



SCG3
4.290052
0.015



Serotonin
19.47403
0.015



Serpin I1
90.50669
0.015



SMAC
34.58259
0.015



TACE
16.5547
0.015



TAF4
19.69919
0.015



Vitamin D-BP
3.8112
0.015



EDA-A2
1.933584
0.026



GREMLIN
7.798717
0.026



ADAMTS-5
26.30608
0.026



ADAMTS-L2
8.092354
0.026



Adipsin
4.670584
0.026



COCO
80.78475
0.026



Complement
12.27403
0.026



factor H



Creatinine
3.381759
0.026



CSH1
19.40335
0.026



Cystatin B
4.660797
0.026



DPPIV
8.806647
0.026



Endorphin Beta
12.18614
0.026



EphA3
4.353228
0.026



ERRa
8.560323
0.026



EXTL2
9.640182
0.026



FABP2
15.48814
0.026



FoxP3
11.10388
0.026



FRK
6.539991
0.026



GATA-4
8.792889
0.026



GPBB
4.819533
0.026



GPI
5.458149
0.026



Hepcidin
8.654806
0.026



HSP40
24.74462
0.026



HSP70
36.41347
0.026



Midkine
7.50768
0.026



PD-1
4.574154
0.026



PI 16
4.103296
0.026



Pro-MMP-9
4.890788
0.026



Pro-MMP-13
6.168079
0.026



Prostasin
3.562363
0.026



PTPRD
5.714606
0.026



Ras
2.219349
0.026



RECK
2.698033
0.026



RYK
14.21574
0.026



SART1
4.866865
0.026



SART3
7.807252
0.026



SEMA3A
21.36675
0.026



Serpin A1
10.82167
0.026



Serpin A5
10.12044
0.026



Serpin A9
25.61264
0.026



Serpin D1
39.69157
0.026



SOX17
6.136459
0.026



Survivin
5.51442
0.026



Syndecan-3
11.02041
0.026



TFF1
13.13231
0.026



TFF3
4.672818
0.026



Thymidine
6.306063
0.026



Kinase-1



TPA
4.485392
0.026



TPM1
4.696349
0.026



Troponin I
3.969662
0.026



TRPC6
6.015505
0.026



TRPM7
5.534693
0.026



TSH
6.897905
0.026



VEGF R1
4.237943
0.026



Vitamin
2.602491
0.026



K-dependent



protein S



Csk
3.714331
0.041



GDF5
7.403583
0.041



GDF9
7.627866
0.041



Latent
2.175335
0.041



TGF-beta bp1



CRP
2.274928
0.041



DBI
8.18511
0.041



FABP3
6.118762
0.041



Fetuin B
3.836071
0.041



HSP20
3.982229
0.041



Itk
5.91214
0.041



ITM2B
4.979435
0.041



Kallikrein 6
4.252369
0.041



Kallikrein 11
2.647301
0.041



KCTD10
3.669272
0.041



KLF4
5.015021
0.041



PEPSINOGEN II
4.863297
0.041



PI 3Kinase
4.839435
0.041



p85 beta



PPARg2
3.64854
0.041



Pro-Cathepsin B
2.548219
0.041



Progesterone
6.519625
0.041



ProSAAS
2.417423
0.041



Protein p65
4.260583
0.041



PSA-total
8.690313
0.041



PYK2
3.968538
0.041



PYY
3.097189
0.041



Resistin
4.827942
0.041



RET
3.163772
0.041



RIP1
5.863169
0.041



Serpin A4
5.20463
0.041



Serpin B5
7.07585
0.041



SHBG
6.730152
0.041



SSTR5
3.193597
0.041



Syndecan-1
5.401464
0.041



Thrombin
4.282239
0.041



TIM-1
4.201384
0.041



TOPORS
4.280719
0.041



TRPC1
10.01976
0.041



Tyk2
6.504028
0.041



TYRO10
4.131835
0.041



Vasopressin
4.743533
0.041



VGF
7.867878
0.041



Visfatin
4.710721
0.041










Table 7 shows that African samples demonstrated a minimum of a two fold increases over Asian samples in all 161 statistically significant proteins (determined by the Mann-Whitney U Test). This was the largest collection of statistically significant proteins in all three (3) relative comparisons.


Table 8 is a list (and directional indication relative to comparator) of Statistically Significant (≧0.05) proteins for Caucasian relative to Asian.













TABLE 8









Mann-Whitney U test



Caucasian Relative
Fold
p < 0.05, significant



to Asian
Change
difference




















Activin B
233.5384
0.015



Activin C
710.1567
0.015



Activin RIB/ALK-4
41.81165
0.015



Activin RIIA
652.6
0.015



HSP60
44.54578
0.015



HSP90
467.3104
0.015



Activin RIA/ALK-2
30.44423
0.026



BMP-3
11.79482
0.026



CCR8
26.44067
0.026



EDA-A2
2.279418
0.026



ApoC3
13.22354
0.026



Fen 1
4.761872
0.026



GATA-4
8.507966
0.026



HSP70
46.01337
0.026



TRPM7
6.563931
0.026



Activin RII A/B
14.30805
0.041



beta-Catenin
8.715446
0.041



MCP-1
4.242993
0.041



ADAMTS-L2
10.49804
0.041



FER
43.20704
0.041



FGFR1
8.320166
0.041



HSP40
33.77603
0.041



TAF4
15.76296
0.041



Tec
31.81704
0.041










Table 8 shows that Caucasian samples demonstrated a minimum of a twofold increases over Asian samples in all 24 statistically significant proteins (determined by the Mann-Whitney U Test). This was the second largest collection of statistically significant proteins in all three (3) relative comparisons.


Table 9 is a list (and directional indication relative to comparator) of Statistically Significant (≧0.05) proteins for Caucasian relative to African.












TABLE 9










Mann-Whitney U test


Caucasian Relative


p < 0.05, significant









to African
Fold Change
difference













Presenilin 1
0.17695
(−5.65131)
0.026


Presenilin 2
0.201391
(−4.96546)
0.026


TSLP
0.442966
(−2.25750)
0.026


Vitamin D-BP
0.28323
(−3.53069)
0.026


Osteopontin
0.262119
(−3.81506)
0.041









Table 9 shows that Caucasian samples demonstrated a minimum of a twofold decreases compared to African samples in all 5 statistically significant proteins (determined by the Mann-Whitney U Test). This was the smallest collection of statistically significant proteins in all three (3) relative comparisons.


The above data supports at least the following conclusions.


Biological Significance means greater than a 2-fold increase or decrease relative to comparator sample as written in the protocol definition. Biological Significance demonstrated 616/1000 proteins that met the criteria in at least one group. Also, 231/616 were common across all groups.


The data further showed that uniquely altered proteins (biologically significant in only one group):


Asian: 114/1000


African: 30/1000


Caucasian: 88/1000


A change in average production level is defined as greater than 25% increased/decreased relative to comparator per protocol definition. The data shows that the average production level changes demonstrated variations in all three groups in the shared 231 biologically significant proteins. In general, Asian sample or skin, relative to African and Caucasian samples or skin, showed decreased protein production levels, while Caucasian skin showed the most increase in production levels.


The statistical significance of the data using the Mann Whitney test further showed that the Asian skin demonstrated the largest number or amount of proteins, in the 95% confidence interval, relative to African skin. The second largest amount of proteins was Asian skin relative to Caucasian skin. The least amount of proteins was African skin relative to Caucasian skin.


The data supports the belief that a further analysis of the proteins and their pathways will improve the understanding of the differences in the structure, function, health and beauty of the skin amongst these ethnic groups.


The data confirms, as noted in the further studies below, that the mixture of two or more tissue cultures whether homogeneous or heterogeneous from the same sex is possible to achieve desired effect on a recipient. In other words, the blending of tissue cultures of one ethnic group, or amongst two or more ethnic groups, in a product, based on characteristics of the proteins in each ethnic group and desired characteristic(s) to be imparted to the skin of the recipient, is possible.


Example II

Global gene expression (i.e. protein levels) by dermal fibroblasts between 3 ethnic groups, Caucasians (CA), African (AF) and Asian (AS) were compared. 6 patients from each ethnicity were recruited for this study. Dermal fibroblasts were isolated from each biopsy and grown under similar tissue culture conditions. Protein was extracted and samples underwent protein assay, testing and analysis according to in-house protocols. Data was further corrected and interpreted by BioFast Consultant Group as specified herein.


To evaluate protein expression in all samples, RayBio® Human Biotin Label Based Antibody Arrays—Human L-507 Array was utilized. This array is designed to evaluate 1000 proteins in duplicates. Two normalization steps were done to account for differences between the different arrays (intra array) or within each array (inter array). This includes normalization to the positive control and then background value is subtracted (negative control). Duplicates values were then averaged (this gives one final intensity value that is used for the final analysis and statistics).


From a biological perspective, it is expected that following data normalization, the average gene expression intensity will not differ between the different test groups (i.e. AS, AF and CA). Therefore, in order to test this, global intensity average of each sample (i.e. total of 18 samples) and ethnic group were calculated. Results of this initial analysis are shown in Table 10 below, shown as Table 10A 10B and 10C for pagination purposes.















TABLE 10A





Prior to Data








Correction
AS1
AS2
AS3
AS4
AS5
AS6





















average intensity
413.2
597.1
343.8
893.2
718.5
736.2


average per group
617.0







SEM
93.25






















TABLE 10B





Prior to Data








Correction
AF1
AF2
AF3
AF4
AF5
AF6





















average intensity
984.2
1171.7
455.4
556.8
1060.4
1968.1


average per group
1032.8







SEM
241.4






















TABLE 10C





Prior to Data








Correction
CA1
CA2
CA3
CA4
CA5
CA6





















average intensity
1506.5
2324.8
380.3
358.6
3146.8
821.6


average per group
1423.1







SEM
504.9









Using the original normalized data values, fold changes for each gene was calculated among the different groups by performing 3 independent comparisons: AF/AS, CA/AS, CA/AF. Summarized results showing the overall number of statistically significant (ttest) up-regulated and down-regulated genes are shown in Table 11 below.









TABLE 11







Result Summary Prior to Data Correction











AF/AS
CA/AS
CA/AF














Total significantly upregulated
259.0
94.0
7.0


Total significantly downregulated
1.0
0.0
13.0









It has been noted that many of the intensity (i.e. gene expression) values equaled “1”. This means that either the expression level of a given protein was below the lower detection limit of the assay (or lower than the negative control) or that an undetermined technical reason(s) caused the detection to fail for that particular protein. When all these “1's” are included in the analysis, they might provide false positive results. For example, if the average intensity of geneX for the Asian group is 1 and the average intensity of the same gene in African group is 300, data analysis will suggest a 300 fold up-regulation in the African group, where in fact the expression of geneX in the Asian group simply could not be determined (for unknown reasons).


From comparing the averages of the global intensity, it was noted that there were obvious differences in overall detection signal between the ethnic groups, with the lowest values observed in the Asian group and the highest in Caucasians. This means that on average “more protein” was detected in the Caucasian group compared with the other groups. This phenomenon is unexpected and is most likely a result of an artifact due to an unequal protein loading, non-consistent washing of the membranes, or other technical issues that evidently could not be corrected by the intra and inter array normalization steps.


Without wishing to be bound by a single theory, a series of issues were identified that could explain, at least partly, the unequal intensity detection levels between groups, as well as the abundance of undetermined detections. Protein loading in the arrays was not equal, some samples had very low to no detection, there is a saturation issue such that the intensity was very high to exceed the normal detection range of the scanner or to the point where it overlapped with another spot in the array, there is a background issue such that in some membranes it was noted that certain areas were darker (“dirty areas”) compared with the rest of the membrane.


In order to address the above issues and avoid drawing conclusions based on potentially false positive and negative results, the following steps were undertaken:


Data points that were deemed as artifacts were filtered out. Only intensity values that are larger than 100 but smaller than 50000 are considered valid. Therefore, all values smaller than 101 and higher than 49999 were filtered out/excluded. A summary of how many data points were “lost” due to this action is specified in the Table 12 shown below.















TABLE 12








AS 1
AS 2
AS 3
AS 4
AS 5
AS 6





Total removed samples
668
675
916
420
504
553


following data correction








Average of removed data
623







point per group*






AF 1
AF 2
AF 3
AF 4
AF 5
AF 6





Total removed samples
266
374
865
542
246
190


following data correction








Average of removed data
414







point per group*






CA 1
CA 2
CA 3
CA 4
CA 5
CA 6





Total removed samples
114
186
826
688
59
794


following data correction








Average of removed data
344







point per group*









To ensure that this change was sufficient in correcting the data, averages of global protein expression was compared between the groups. It was noted that filtering “bad” data points overall improved the data set, as the changes in global protein expression between the ethnic groups were mostly abolished. This is shown in the Table 13 below, shown as Tables 13A, 13B, and 13C for pagination purposes.















TABLE 13A





Post Data








Correction
AS1
AS2
AS3
AS4
AS5
AS6





















average intensity
1027.7
1386.4
3400.3
1292.1
1215.8
1115.4


average per group
1572.9







SEM
404.3






















TABLE 13B





Post Data








Correction
AF1
AF2
AF3
AF4
AF5
AF6





















average intensity
1082.6
1324.2
2193.5
922.0
1063.4
2039.5


average per group
1437.5







SEM
243.2






















TABLE 13C





Post Data








Correction
CA1
CA2
CA3
CA4
CA5
CA6





















average intensity
1487.2
2245.1
1744.0
785.5
2371.5
2,390


average per group
1837.3







SEM
282.5









After DATA filtering (above), the intensity values of any given protein for any given group (AS, AF and CA) were further analyzed only if at least 3 of these values were available (n>=3 in a given group). For the entries/proteins respecting this parameter (n>=3), fold changes/ratios between the groups were calculated.


A summary of significantly up- and down-regulated genes after data correction is also shown in the Table 14 below.











TABLE 14









Results Summary After Data Correction










RATIO - ETHNICITY
AF/AS
CA/AS
CA/AF













TOTAL
60
108
49


Down
0
1
6


Up
60
107
43









The significantly changed proteins were subsequently utilized for the study of protein network interactions, described below.


In order to identify the major Biological processes and cell signaling pathways that were differentially modulated from one ethnic group to another, data was subjected to a string network analysis. As input for the software, 3 separate lists of entries were used (as mentioned above), which included only the proteins that presented significant differences (p<0.05 by one tailed T-TEST) in expression levels between the groups (AF/AS; CA/AS; CA/AF. The overall protein networks for each of these 3 lists are shown in FIGS. 3 to 5.



FIGS. 3 to 5 show protein network AF/AS, CA/AS and CA/AF. The line thickness is proportional to the strength of data in support of functional interactions between protein


Out of the string network analysis, the first 50 (Top-50 ranked for statistical significance/false discovery rate) Biological processes were categorized/interpreted. Of note, processes that were considered generic/potentially pertinent to any biological process (e.g. “Cell Signaling”) were ignored.



FIGS. 6 to 8 describe the main biological processes that are differentially modulated from one group to another are reported herein.


In addition, significant examples on how the top or best scoring biological processes fit within the overall protein networks are shown FIGS. 9 to 11.


In FIG. 9, it is apparent that most of the genes identified for wound healing processes (in red) do appear to be at the core of the strongest functional interactions of the network.


In FIG. 10, it is apparent that that most of the genes identified for immune response (in red) do appear to be functionally linked in the overall network.


In FIG. 11 however, only 50% of the identified genes for immune response (in red) appear to be functionally linked in the overall network.


The most significant pathways fitting within the overall protein network for each of the 3 list of differentially modulated proteins, AF/AS, CA/AS and CA/AS, were “Complement and Coagulation Cascade”, “Cytokine-Cytokine Receptor interaction” and again “Cytokine-Cytokine Receptor interaction”, respectively.


Several conclusions can be drawn from the protein network analysis.


For AF/AS, the wound healing process, as well as the regulation of extracellular matrix, are the main biological processes that can distinguish AF from AS at molecular level. These processes are mostly up-regulated in AF compared to AS (as the majority of the proteins were up-regulated for that ratio). Notably, the “complement and coagulation pathway” seems to be at the core of the wound healing process.


For CA/AS, the immune system response/Inflammation is the main biological process at play, mostly up-regulated in CA, compared to AS (as the majority of the proteins were up-regulated for that ratio). Moreover, “cytokine-cytokine receptor pathway” and “JAK-STAT pathway” are likely involved in such differential basal modulation of the immune system between CA and AS.


For CA/AF, the immune response was again the top-scoring biological process, up-regulated in CA, compared to AF (as the majority of the proteins were up-regulated for that ratio). However, the same process did not strongly cover the core of the functional interactions of the overall STRING network (of differentially expressed proteins). Perhaps, in this case (CA/AF) there is a balance of several different processes at play, which we cannot clearly infer from the protein list and subsequent Network analysis. At any rate, a mixture of “cytokine-cytokine receptor pathway” and “complement and coagulation cascade” seem to cover the main differences between CA and AF.


Next, skin-relevant genes in each ethnic group were identified as follows. When values from at least 3 subjects (n=>3) of a given ethnicity/group were available, these values were averaged. The averages were compared to the value averages of the rest of the ethnicities, contingently that there was also availability of at least 3 values from the rest of the ethnicities. Significant differences between groups were tested by T-TEST (p<0.05 is considered statistically significant).


From the above, several conclusions are possible. CA presents mostly up-regulated genes, compared to the other ethnicities. AS presents mostly down-regulated genes, compared to the other ethnicities. AF presents equally UP- and DOWN-regulations, compared to other ethnicities. See Table 15.














TABLE 15








p < 0.05
p < 0.05
p < 0.05



RATIO
AS/(AF + CA)
AF/(AS + CA)
CA/(AS + AF)





















TOTAL
79
23
141



Down
78
11
3



Up
1
12
138










In order to select/shortlist target genes that are differentially expressed/modulated in a specific group, while, at the same time, reducing the chance of selecting false positive, an approach was taken that favors the identification of genes that are differentially regulated in a particular group no matter what the control population is. Seventeen (17) genes were identified for the AS, fourteen (14) for the CA and four (4) for the AF group, as shown in the Venn diagrams of FIG. 12.


The following Tables 16, 17 and 18 summarize the findings discussed in the preceding paragraph.









TABLE 16







AS












Gene
Fold

Mass




name
change
p-Value
(kDa)
Function
Relevance to Skin















SRMS
0.169108
0.04084
54.5
Non-receptor tyrosine-kinase
n/a


GDF3
0.216263
0.00761
41.4
Negative regulator of
TGFb is a major pro-fibrotic






TGFb/BMP signaling
pathway in skin. Reduced







expression of this protein may







contribute to hypertrophic scars







or keloids in the Asian population


SHBG
0.238325
0.00815
43.8
Complexes with sex
Sex hormones affect various






hormones
aspects of skin biology and







pathology. may have a role in







skin pigmentation and







androgen actions in skin of







Asians


Tyk2
0.239025
0.00402
133.6
Tyrosine kinase enzyme
Tyk2 is a therapeutic target for







psoriasis-like skin







inflammation. TYK2 deficiency







is associated with skin bacterial







infections which may suggest a







role in barrier function


Creatinine
0.262378
0.02641
n/a
Byproduct of muscle cell
n/a






metabolism


TSH
0.271665
0.01403
28
Thyroid stimulating hormone
TSH and the TSH receptor







involved in skin keratinocyte







and fibroblast growth; Reduced







TSH levels associated with hair







loss and dry rough pale skin.


TXK
0.287523
0.03243
61.2
Tyrosine kinase enzyme
Overexpression is observed in







Behcet's disease


TIM-1
0.297133
0.00795
38.7
membrane receptor
May be involved in modulation







of allergic diseases such as







asthma, allergic rhinitis and







atopic dermatitis.


RET
0.303647
0.00297
124.3
Cell surface receptor tyrosine
Overexpression was found to






kinase
induce melanoma; mutations







leading to hyperactivation is







associated with cutaneous







lichen amyloidosis.


Visfatin
0.30562
0.00908
55.5
Enzyme
Contribute to resolution of skin







sclerosis; has direct anti-fibrotic







effects; May be relevant to







hypertrophic scars/keloids in







Asians. May be also involved in







inflammatory responses in psoriasis.


TYRO10
0.320326
0.00904
96.7
Tyrosine kinase receptor for
Regulate remodelling of the






collagen
extracellular matrix and







promote fibroblast migration







during wound healing.


RELM alpha
0.322593
0.00424
11.4
Also known as FIZZ- 1
Small secreted molecule







associated with dermal fibrosis







via its role in the induction of







dermal adipocytes to myfibroblasts.


PSA-Free
0.36243
0.03103
34
Prostate specific antigen;
n/a






klk3


SCG3
0.369737
0.01215
53
Secretogranin III
n/a


KCTD10
0.378113
0.02082
35.4
Potassium Channel
n/a






Tetramerization Domain






Containing 10


Vitamin
0.447402
0.01595
75.1
Anticoagulant function
Topical of Vitamin K1


K-dependent




suppresses pigmentation and


protein S




improves wound healing
















TABLE 17







CA












Gene
Fold

Mass




name
change
p-Value
(kDa)
Function
Relevance to Skin















EDAR
1.797218
0.01252
48.6
TNFR superfamily member
EDAR agonists may improve







skin dryness and eczema


Pro-MMP-7
2.130663
0.00299
29.7
Matrix metallo Protease
Degrades ECM components.







May play a role in skin aging.







May be added to products







designed to treat HS/keloids. It







may contribute to remodelling







of elastotic areas in







sundamaged skin


SSEA-4
2.280554
0.01109
n/a
Stage-specific embryonic
n/a






antigen


MMP-10
2.3408
0.004
54.1
Matrix metallo Protease
It might have a role in







controlling scar formation







during wound repair. Thus, it







might be useful to control







fibrosis and scan formation.


Vitronectin
2.423404
0.00089
54.3
Glycoprotein promoting cell
Regulate extra cellular matrix






adhesion via integrins
proteolysis and cell migration







via stabilization of PAI1.


TWEAK R/
2.65139
0.0026
45.4
TNFR superfamily member
The expression is altered in


TNFRSF12




eczema skin, thus providing an







antagonist might be beneficial







in eczema.


uPA
2.924766
0.00111
48.5
Urokinase/serine protease
The absence of uPA signaling







might be associated with the







progression of dermal fibrosis







has been shown to increase







fibroblast proliferation and







stimulate fibronectin secretion.







May reduce wrinkles in Asians.


uPAR
2.969332
0.00025
37
Urokinase receptor
The absence of uPAR might be







associated with the progression







of dermal fibrosis


GDNF
3.011637
0.00189
23.7
Signaling molecule
It decreases with age. Thus






(promotes cell survival
providing it (at least in CA)






in neurons)
might prevent aging marks,







including wrinkles


IL-17B
3.071995
0.00327
20.4
Pro-inflammatory cytokine
It might enhance skin







inflammatory response


VCAM-1
3.145728
0.00103
81.3
Adhesion molecule
It might increase susceptibility


(CD106)




to atopic dermitisis


Lymphotactin/
3.313039
0.00104
12.5
Chemokine
Proinflammatory mediator that


XCL1




could be involved in skin







inflammation.


SRMS
4.053276
0.00219
54.5
Non-receptor tyrosine-kinase
n/a
















TABLE 18







AF












Gene
Fold

Mass




name
change
p-Value
(kDa)
Function
Relevance to skin















TPM1
2.203069
0.01017
32.7
Tropo-
Regulate skin migra-






myosin
tion during wound






1
healing


Tyk2
2.374957
0.00377
133.6
Tyrosine
Tyk2 is a therapeutic






kinase
target for psoriasis-






enzyme
like skin inflammation.







TYK2 deficiency is







associated with skin







bacterial infections







which may suggest a







role in barrier function


TSLP
2.537861
0.00297
18.1
Thymic
Upregulated in skin of






Stromal
systemic sclerosis and






Lympho-
promote fibrosis, may






poietin
explain why individ-







uals of African de-







scent are more sus-







ceptible to keloids.


Adipsin
3.027837
0.00189
27
Serine
n/a






peptidase






(enzyme)









The analysis described above revealed that the number of genes that were differentially modulated in AS, AF and CA when compared to the rest of the groups (combined) were 79, 23 and 141, respectively. Further comparative analysis identified various genes that were found to be differentially regulated in each one of the tested group independently of the control group (as shown in the Venn diagram). Seventeen (17) genes were identified for the AS, fourteen (14) for the CA and four (4) for the AF group. Based on this data, it can be concluded that various genes (expressed by dermal fibroblasts) that control different aspects of skin function and pathology are differentially regulated in African, Asian and Caucasian skin. Thus, this data supports the proposition that differential gene regulation plays a role in racial differences of skin properties, appearance or pathology.


Furthermore, the data of the present disclosure proves and enables the rational for developing cosmetic and therapeutic products specifically suited for Asian, African or Caucasian (or other ethnic group or subgroup) skin based on proteins derived from the gene cells. Moreover, this data proves that the proteins can be selected from an ethnic group (or subgroup) in order to derive the benefit or characteristic desired of the product that can be used by any recipient.


Thus, the present disclosure has unexpectedly found that each ethnic group (and/or subgroup) has genes that are differentially regulated so that formulation of a targeted product that achieves maximization of a desired benefit or characteristic is now possible. Further, the targeted product can also be formulated with a higher proportionality of proteins in the overall product composition based on the desired benefits or characteristics of the product. This “tailoring” can be achieved by a single donor in a single ethnic group (or subgroup), as well as two or more donors in a single ethnic group or subgroup, and also in two or more donors in two or more groups and/or subgroups.


Table 19 that follows is a full list of non-redundant genes determined by the present disclosure.












FULL LIST OF NON-REDUNDANT GENES


















SRMS
Follistatin
SPINK1
Neurokinin-A


IL-13
Kremen-2
EDAR
Beta IG-H3


Musk
MMP-7
NPTXR
CNTF


SHBG
IL-24
SART3
Troponin C


IL-27
IL-23
IL-7
Mammaglobin A


Lipocalin-1
PPARg2
S-100b
Serpin A1


CCR5
IL-1 R8
CFHR2
LRP-1


Creatinine
Pro-MMP-7
XIAP
L-Selectin





(CD62L)


NRG2
TOPORS
Wilms
PYK2




Tumor 1


IL-29
BNIP2
Troponin I
TWEAK R/





TNFRSF12


Dkk-4
Vitamin
MMP-8
IL-26



K-dependent



protein S


Resistin
MIP 2
SART1
IL-15 R alpha


TXK
Kallikrein 14
GFR alpha-2
VE-Cadherin


Dtk
IL-12 R beta 2
PTN
TMEFF1/





Tomoregulin-1


IL-28A
ProSAAS
CD 163
Itk


XEDAR
TIMP-4
Orexin B
S100A8


Plasminogen
Kallikrein 8
MBL
NRG3


TIM-1
Latent
sFRP-4
GFR alpha-4



TGF-beta bp1


RET
MMP-1
FIH
VEGF R2





(KDR)


CLC
GDF3
MMP-11/
Pro-MMP-13




Stromelysin-3


KCC3
Tyk2
TECK/CCL25
IL-31


TYRO10
TSH
Insulysin/
uPAR




IDE


RELM alpha
TSLP
S100A6
Livin


Cytokeratin 8
Visfatin
OSM
VCAM-1





(CD106)


Csk
Adipsin
NRG1 Isoform
D-Dimer




GGF2


Kallikrein 6
VDUP-1
VEGF R3
IL-17B R


RBP4
TPA
MMP-9
IL-17C


Frizzled-5
HADHA
NM23-H1/H2
IL-17D


LIGHT/
IL-8
Pro-MMP-9
Hck


TNFSF14


Frizzled-3
IGFBP-5
NOV/CCN3
Galanin


LIF R alpha
IL-33
IL-17R
Lymphotactin/





XCL1


IL-22 BP
IL-23p19
Trappin-2
HTRA2


RANK/
IL36RN
A2M
SSTR2


TNFRSF11A


GDNF
LH
Kallikrein 7
FRK


Frizzled-4
IL-11
SSEA-4
PTPRD


IL-17B
PCAF
Kininostatin/
MMP-20




kininogen


PSA-Free
IL-18 R
VEGF-C
MIP-3 alpha



beta/AcPL


MIG
INSL3
GRP75
Alpha 1





Microglobulin


HSP20
VEGF R1
TRKB
IL-31 RA


uPA
Vasopressin
ADAMTS-10
GPX3


SCG3
VIP Receptor 2
Tarc
IBSP


MIP-1d
TPM1
MMP-10
IL-1 R9


IL-5
IL-1 F9/IL-1 H1
PARK7
Endothelin


Prostasin
Presenilin 2
GDF-15
pro-Glucagon


KCTD10
Transferrin
Vitronectin
GADD45A


FGF R4
Thrombin
IL-6
Omentin


IL-12 p70
Kallikrein 11
HSPA8


Fen 1
IL-19
Serpin A12


NeuroD1
Prohibitin
IL-17RC


FGF Basic
TIMP-1
PAI-1


Cerberus 1
SPARC
TCCR/WSX-1


NGF R
TMEFF2
BMP-5









Table 20 below contains information on each gene/protein that found to be differentially regulated in any group as compared with the average of the other two groups.














TABLE 20







Accession

Mass



#
Protein symbol
Number
Full Name
(kDa)
Function




















1
SRMS
Q9H3Y6
Src-Related Kinase Lacking C-Terminal
54.5
Non-receptor tyrosine-kinase





Regulatory Tyrosine And N-Terminal


2
IL-13
P35225
Interleukin 13
12.6
Secreted cytokine


3
Musk
O15146
Muscle Associated Receptor Tyrosine
97
gene encodes a muscle-specific





Kinase

tyrosine kinase receptor


4
SHBG
P04278
Sex Hormone Binding Globulin
43.8
a steroid binding protein


5
IL-27
Q8NEV9
Interleukin 27
27.4
heterodimeric cytokine which







functions in innate immunity


6
Lipocalin-1
P31025
Lipocalin-1
19.2
Small secretory extracellular







transport protein that bind







hydrophobic ligands


7
CCR5
P51681
C-C Motif Chemokine Receptor 5
40.5
a member of the beta chemokine







receptor family, which is predicted







to be a seven transmembrane







protein similar to G protein-







coupled receptors


8
Creatinine
N/A


Byproduct of muscle cell metabolism


9
NRG2
O14511
Neuregulin 2
91.6
member of the neuregulin family of







growth and differentiation factors


10
IL-29
Q8IU54
Interferon, Lambda 1; Interleukin-29
21.8
Cytokine with antiviral, antitumour







and immunomodulatory activities.


11
Dkk-4
Q9UBT3
Dickkopf WNT Signaling Pathway
24.8
secreted protein; is involved in





Inhibitor 4

embryonic development through







its interactions with the Wnt







signaling pathway.


12
Resistin
Q9HD89
Resistin; FIZZ3
11.4
Secreted protein


13
TXK
P42681
TXK Tyrosine Kinase; PTK4
61.2
Enzyme with a tyrosine kinase activity


14
Dtk
Q06418
TYRO3 Protein Tyrosine Kinase
96.9
transmembrane receptor kinase receptor


15
IL-28A
Q8IZJ0
Interleukin-28A; Interferon, Lambda 2;
22.2
Cytokine with antiviral, antitumour





INFL2

&immunomodulatory activities.







Plays a critical role in the antiviral







defense, predominantly in epithelial







tissues


16
XEDAR
Q9HAV5
Ectodysplasin A2 Receptor; EDA-A2
32.7
type III transmembrane protein of





Receptor

the TNFR (tumor necrosis factor







receptor) superfamily


17
Plasminogen
P00747
Plasminogen, PLG gene
90
Protein encoded by this gene is a







secreted blood zymogen that is







activated by proteolysis and converted







to plasmin and angiostatin.


18
TIM-1
Q96D42
Hepatitis A Virus Cellular
38.7
Membrane receptor





Receptor 1


19
RET
P07949
Ret Proto-oncogene
124.3
Receptor tyrosine kinase


20
CLC
Q05315
Charcot-Leyden Crystal Galectin
164.5
Enzyme that regulates immune responses


21
KCC3
Q9UHW9
Solute Carrier Family 12 Member 6
127.6
Member of the K—Cl cotransporter







(KCC) family.


22
TYRO10
Q16832
Discoidin Domain Receptor Tyrosine
96.7
Tyrosine kinase that functions as





Kinase 2

cell surface receptor for fibrillar







collagen and regulates cell







differentiation, remodeling of the







extracellular matrix, cell migration







and cell proliferation.


23
RELM alpha
Q9EP95
Resistin-like molecule (Relm) alpha
11.9
Secreted protein and a hallmark







signature gene for alternatively







activated macrophages


24
Cytokeratin 8
P05787
Cytokeratin 8
53.7
Member of the type II keratin family


25
Csk
P41240
C-Src Tyrosine Kinase
50.7
Enzyme


26
Kallikrein 6
Q92876
Kallikrein Related Peptidase 6
26.8
kallikrein subfamily of the







peptidase S1 family of serine







proteases (enzyme)


27
RBP4
P02753
Retinol Binding Protein 4
23
Belongs to the lipocalin family and







is the specific carrier for retinol







(vitamin A alcohol) in the blood


28
Frizzled-5
Q13467
Frizzled Class Receptor 5
64.5
Transmembrane receptor involved







in Wnt signaling


29
LIGHT/
O43557
Tumor Necrosis Factor Superfamily
26.35
ligand for TNFRSF14, which is a



TNFSF14

Member 14

member of the tumor necrosis







factor receptor superfamily


30
Frizzled-3
Q9NPG1
Frizzled Class Receptor 3
76
Transmembrane protein receptor







for the wingless type MMTV







integration site family of signaling







proteins.


31
LIF R alpha
P15018
Leukemia Inhibitory Factor
22
involved in the induction of







hematopoietic differentiation in







normal and myeloid leukemia cells


32
IL-22 BP
Q9GZX6
Interleukin 22
20
Cytokine that contributes to the







inflammatory response in vivo.


33
RANK/
Q9Y6Q6
Tumor Necrosis Factor Receptor
66
Receptor for TNFSF11/RANKL/



TNFRSF11A

Superfamily Member

TRANCE/OPGL


34
GDNF
P39905
Glial Cell Derived Neurotrophic
24
Neurotrophic factor that enhances





Factor

survival and morphological







differentiation of dopaminergic







neurons


35
Frizzled-4
Q9ULV1
Frizzled Class Receptor 4
60
Transmembrane receptor coupled







to the beta-catenin (CTNNB1)







canonical signalling pathway.


36
IL-17B
Q9UHF5
Interleukn 17B
20
Stimulates the release of the







proinflammatory cytokines tumor







necrosis factor alpha and IL-1-







beta from the monocytic cell line







THP-1.


37
PSA-Free
P07288
Kallikrein Related Peptidase 3
28
Hydrolyzes semenogelin-1 thus







leading to the liquefaction of the







seminal coagulum.


38
MIG
Q07325
Chemokine (C-X-C Motif) Ligand 9
14
Cytokine that affects the growth,







movement, or activation state of







cells that participate in immune







and inflammatory response.







Chemotactic for activated T-cells.


39
HSP20
O14558
Heat Shock Protein Family
17
Encodes a heat shock protein


40
uPA
P00749
Plasminogen Activator, Urokinase
48.5
Specifically cleaves the zymogen







plasminogen to form the active







enzyme plasmin.


41
SCG3
Q8WXD2
Secretogranin III
53
A member of the







chromogranin/secretogranin family







of neuroendocrine secretory proteins.


42
MIP-1d
Q16663
Macrophage Inflammatory Protein 5
12
Chemotactic factor that attracts T-







cells and monocytes.


43
IL-5
P05113
Interleukin 5
15
Signaling compounds that are







mediators of the immune







response. They control many







different cellular functions







including proliferation,







differentiation and cell







survival/apoptosis


44
Prostasin
Q16651
Serine Protease 8
36
Enzyme


45
KCTD10
Q9H3F6
Potassium Channel Tetramerization
35
May be involved in cell proliferation





Domain Containing 10


46
FGF R4
P22455
Fibroblast Growth Factor Receptor 4
87.9
mediate angiogenesis, wound







healing, cell migration, neural







outgrowth and embryonic development.


47
IL-12 p70
P29459
Interleukin 12A
24.8
Cytokine that can act as a growth







factor for activated T and natural







killer cells and enhance the lytic







activity of NK/lymphokine-activated







Killer cells


48
Fen 1
P39748
Flap Structure-Specific Endonuclease 1
42.5
The enzyme removes 5′







overhanging flaps in DNA repair







and processes the 5′ ends of







Okazaki fragments in lagging







strand DNA synthesis.


49
NeuroD1
Q13562
Neuronal Differentiation 1
40
This gene encodes a member of the







NeuroD family of basic helix-loop-







helix (bHLH) transcription factors.


50
FGF Basic
P09038
Basic Fibroblast Growth Factor
30
Growth factor that stimulate cell







growth of fibroblasts


51
Cerberus 1
O95813
Cerberus 1, DAN Family BMP
30
belongs to a group of bone





Antagonist

morphogenetic protein (BMP)







antagonists.


52
NGF R
P08138
Nerve Growth Factor receptor
45
Membrane-bound receptor for







nerve growth factor


53
Follistatin
P19883
Follistatin
38
single-chain gonadal protein that







specifically inhibits follicle-







stimulating hormone release.


54
Kremen-2
Q8NCW0
Kringle Containing Transmembrane
49
Receptor for Dickkopf protein.





Protein 2

Cooperates with Dickkopf to block







Wnt/beta-catenin signaling.


55
MMP-7
P09237
Matrix Metallopeptidase 7
29.6
Enzyme that breaks down extracellular







matrix


56
IL-24
Q13007
Interleukin 24
23.8
Cytokine


57
IL-23
Q9NPF7
Interleukin 23
20.7
heterodimeric cytokine which functions







in innate and adaptive immunity.


58
PPARg2
P37231
Peroxisome Proliferator Activated
57.6
Nuclear receptor





Receptor Gamma


59
IL-1 R8
Q9NZN1
Interleukin 1 Receptor Accessory
79.9
IL-1 receptor.





Protein Like 1


60
Pro-MMP-7


61
TOPORS
Q9NS56
TOP1 Binding Arginine/Serine Rich
119
ubiquitin-protein E3 ligase (enzyme).





Protein


62
BNIP2
Q12982
BCL2/Adenovirus E1B 19 kDa Interacting
36
Intracellular protein





Protein 2


63
Vitamin
P07225
Protein S (Alpha)
75
Anticoagulant plasma protein; It



K-dependent



helps to prevent coagulation and



protein S



stimulating fibrinolysis.


64
MIP 2
P19875
C-X-C Motif Chemokine Ligand 2
11
Produced by activated monocytes







and neutrophils and expressed at







sites of inflammation.


65
Kallikrein 14
Q9P0G3
Kallikrein Related Peptidase 14
29
enzyme


66
IL-12 R beta 2
Q99665
Interleukin 12 Receptor Subunit Beta 2
89
Receptor for interleukin-12.


67
ProSAAS
Q9UHG2
Proprotein Convertase Subtilisin/
27
Has an endopeptidase inhibitor activity;





Kexin Type 1 Inhibitor

inhibitor of prohormone convertase 1


68
TIMP-4
Q99727
TIMP Metallopeptidase Inhibitor 4
25
Inhibitors of the matrix







metalloproteinases,


69
Kallikrein 8
O60259
Kallikrein Related Peptidase 8
28
Serine protease (enzyme)


70
Latent
Q14766
Latent Transforming Growth Factor Beta
186.7
Involved in the assembly,



TGF-beta bp1

Binding Protein 1

secretion and targeting of TGFB1







to action sites


71
MMP-1
P03956
Matrix Metallopeptidase 1
54
Enzyme envolves in degradation







of extracellular matrix


72
GDF3
Q9NR23
Growth Differentiation Factor 3
41.3
Growth factor


73
Tyk2
P29597
Tyrosine Kinase 2
133.6
Tyrosine kinase enzyme


74
TSH
P01222
Thyroid Stimulating Hormone Beta
15.6
Hormone


75
TSLP
Q969D9
Thymic Stromal Lymphopoietin
18.1
Cytokine


76
Visfatin
P43490
Nicotinamide Phosphoribosyltransferase
55.5
Enzyme


77
Adipsin
P00746
Complement Factor D (Adipsin)
27
Serine peptidase (enzyme)


78
VDUP-1
Q9H3M7
Thioredoxin Interacting Protein
43.6
Enzyme


79
TPA
P00750
Plasminogen Activator, Tissue Type
62.9
Enzyme


80
HADHA
P40939
Hydroxyacyl-CoA Dehydrogenase/
83
An enzyme involved in Lipid





3-Ketoacyl-CoA Thiolase/Enoyl-CoA

metabolism.





Hydratase (Trifunctional Protein),





Alpha Subunit


81
IL-8
P10145
Chemokine (C-X-C Motif) Ligand 8
11.1
This chemokine is one of the







major mediators of the







inflammatory response


82
IGFBP-5
P24593
Insulin Like Growth Factor Binding
30.5
IGF-binding proteins prolong the





Protein 5

half-life of the IGFs and mediate







the growth promoting effects of







IGFs.


83
IL-33
O95760
Interleukin 33
30.7
Cytokine that binds to and signals







through the IL1RL1/ST2 receptor







which in turn activates NF-kappa-







B and MAPK signaling pathways







in target cells


84
IL-23p19
Q9NPF7
Interleukin 23 Subunit Alpha
20.7
Associates with IL12B to form







the IL-23 interleukin, a







heterodimeric cytokine which







functions in innate and adaptive







immunity.


85
IL36RN
Q9UBH0
Interleukin 36 Receptor Antagonist
16.9
member of the interleukin 1







cytokine family with specific anti-







inflammatory properties


86
LH
P22888
Luteinizing Hormone/
78.6
G protein coupled receptor type 1





Choriogonadotropin Receptor


87
IL-11
P20809
Interleukin 11
21.4
Cytokine that stimulates the







proliferation of various cells


88
PCAF
Q92831
Lysine Acetyltransferase 2B
93
This enzyme associates with other







factors to regulate gene transcription.


89
IL-18R
O95256
Interleukin 18 Receptor Accessory
68.3
The protein encoded by this gene



beta/AcPL

Protein

is an accessory subunit of the







heterodimeric receptor for







interleukin 18 (IL18), a







proinflammatory cytokine involved







in inducing cell-mediated immunity.


90
INSL3
P51460
Insulin Like 3
14.5
member of the insulin-like







hormone superfamily


91
VEGF R1
P17948
Vascular Permeability Factor Receptor;
150.7
Tyrosine-protein kinase receptor





Tyrosine-Protein Kinase Receptor FLT;





Fms Related Tyrosine Kinase 1


92
Vasopressin
P01185
Arginine Vasopressin; Prepro-Arginine-
17.3
Arginine vasopressin is a posterior





Vasopressin-Neurophysin II; Antidiuretic

pituitary hormone that is





Hormone

synthesized in the supraoptic







nucleus and paraventricular







nucleus of the hypothalamus.


93
VIP
P41587
Vasoactive Intestinal Peptide Receptor 2;
49.4
Vasoactive intestinal peptide is



Receptor 2

Pituitary Adenylate Cyclase-Activating

involved in smooth muscle





Polypeptide Type III Receptor

relaxation


94
TPM1
P09493
Tropomyosin 1 (Alpha);
32.7
actin-binding proteins involved in





Cardiomyopathy, Hypertrophic 3

the contractile system of striated







and smooth muscles and the







cytoskeleton of non-muscle cells.


95
IL-1 F9/
Q9NZH8
Interleukin 36, Gamma; Interleukin-1
18.7
Belongs to IL1 cytokine family



IL-1 H1

Homolog 1; Interleukin-1 Epsilon


96
Presenilin 2
P49810
Presenilin 2; Alzheimer Disease 4
50.1
Presenilins are postulated to







regulate ameloid precursor protein







processing through their effects on







gamma-secretase, an enzyme







that cleaves APP.


97
Transferrin
P02787
Transferrin; Beta-1 Metal-Binding
77
transport iron from the intestine,





Globulin; Siderophilin

reticuloendothelial system, and







liver parenchymal cells to all







proliferating cells in the body


98
Thrombin
P00734
Coagulation Factor II (Thrombin);
70
Coagulation factor II is





Prepro-Coagulation Factor II

proteolytically cleaved to form







thrombin in the first step of the







coagulation cascade which







ultimately results in the stemming







of blood loss. have antimicrobial







activity against E. coli and








P. aeruginosa.



99
Kallikrein 11
Q9UBX7
Kallikrein Related Peptidase 11;
31
Kallikreins are a subgroup of





Trypsin-Like Protease;

serine proteases having diverse





Serine Protease 20; Hippostasin

physiological functions. Growing







evidence suggests that many







kallikreins are implicated in







carcinogenesis and some have







potential as novel cancer and







other disease biomarkers.


100
IL-19
Q9UHD0
Interleukin 19
20.4
cytokine that belongs to the IL10







cytokine subfamily found to be







preferentially expressed in







monocytes. It can lead to the







activation of the signal transducer







and activator of transcription 3







(STAT3).


101
Prohibitin
P35232
Prohobitin
29.8
play a role in human cellular







senescence and tumor







suppression. localized in the inner







membrane of mitochondria.


102
TIMP-1
P01033
Metalloproteinase inhibitor 1
23.2
Irreversibly inactivates collagenases


103
SPARC
P09486
Basement-membrane protein 40/
34.6
regulates cell growth through





Osteonectin

interactions with the extracellular







matrix and cytokines


104
TMEFF2
Q9UIK5
Transmembrane Protein With EGF-Like
41.4
Transmembrane protein





And Two Follistatin-Like Domains 2


105
SPINK1
P00995
Serine protease inhibitor Kazal-type 1
8.5
Serine protease inhibitor which







exhibits anti-trypsin activity


106
EDAR
Q9UNE0
Tumor necrosis factor receptor
48.6
TNF Receptor superfamily member





superfamily member EDAR


107
NPTXR
O95502
Neuronal pentraxin receptor
52.8
Receptor


108
SART3
Q15020
Squamous cell carcinoma antigen
109.9
functions as a recycling factor of





recognized by T-cells 3

the splicing machinery


109
IL-7
P13232
Interleukin-7
20.2
Cytokine


110
S-100b
P04271
Protein S100-B
10.7
Small protein that binds ions


111
CFHR2
P36980
Complement factor H-related protein 2
30.6
Involved in complement regulation


112
XIAP
P98170
E3 ubiquitin-protein ligase XIAP
56.7
Enzyme


113
Wilms
P19544
Wilms tumor protein
49.2
Transcription factor that plays an



Tumor 1



important role in cellular







development and cell survival


114
Troponin I
P19237
Troponin I, cardiac muscle
24
Troponin I is the inhibitory subunit







of troponin, the thin filament







regulatory complex which confers







calcium-sensitivity to striated







muscle actomyosin ATPase activity


115
MMP-8
P22894
Neutrophil collagenase
53.4
Enzyme; Can degrade fibrillary







type I, II, and III collagens


116
SART1
O43290
Squamous Cell Carcinoma Antigen
90.2
Plays a role in mRNA splicing as a





Recognized By T-Cells 1

component of the U4/U6-U5 tri-snRNP


117
GFR alpha-2
O00451
GDNF family receptor alpha-2
51.5
Receptor for neurturin, canonically


118
PTN
P21246
Pleiotrophin
18.9
growth factor that induces neurite







outgrowth and which is mitogenic







for fibroblasts, epithelial, and







endothelial cells


119
CD 163
Q86VB7
Scavenger receptor cysteine-rich type 1
125.4
Receptor that may protect from





protein M130

oxidative damage


120
Orexin B
O43612
Orexin (Hypocretin)
13.4
Neuropeptide


121
MBL
P11226
mannose-binding lectin 2/Mannose-binding
26.1
Calcium-dependent lectin involved





protein C

in innate immune defense.


122
sFRP-4
Q6FHJ7
Secreted frizzled-related protein 4
39.8
Soluble frizzled-related proteins


123
FIH
Q9NWT6
Hypoxia-inducible factor 1-alpha inhibitor
40.3
Inhibitor of HIF1-alpha


124
MMP-11/
P24347
Stromelysin-3/Matrix metalloproteinase-11
54.6
Matrix metallo proteinase



Stromelysin-3


125
TECK/CCL25
O15444
C-C motif chemokine 25
16.6
Signalling chemokine, ligand of







receptor CCR9


126
Insulysin/
P14735
Insulin-degrading enzyme
118
Plays a role in the cellular



IDE



breakdown of insulin, IAPP,







glucagon, bradykinin, kallidin and







other peptides


127
S100A6
P06703
Protein S100-A6
10.2
May function as calcium sensor







and modulator, contributing to







cellular calcium signaling


128
OSM
P13725
Oncostatin-M
28.5
Growth regulator. Inhibits the







proliferation of a number of tumor







cell lines


129
NRG1 Isoform
Q02297
Neuregulin 1
70.4
Direct ligand for ERBB3 and



GGF2



ERBB4 tyrosine kinase receptors.







Concomitantly recruits ERBB1







and ERBB2 coreceptors


130
VEGF R3
P35916
Vascular endothelial growth factor
152.7
Tyrosine-protein kinase receptor





receptor 3


131
MMP-9
P14780
Matrix metalloproteinase-9
78.4
May play a role in proteolysis of







the extracellular matrix (Collagen







type III degradation)


132
NM23-H1/H2
P15531
Nucleoside diphosphate kinase A
17.1
Major role in the synthesis of







nucleoside triphosphates other







than ATP


133
Pro-MMP-9
P14780
Pro-Matrix metalloproteinase-9
78.4
May play a role in proteolysis of







the extracellular matrix (Collagen







type III degradation)


134
NOV/CCN3
P48745
Protein NOV homolog
39.1
playing a role in various cellular







processes including proliferation,







adhesion, migration, differentiation







and survival. It binds to integrins







and membrane receptors such as







NOTCH1


135
IL-17R
Q96F46
Interleukin-17 receptor A
96.1
Pro-inflammatory cytokine receptor


136
Trappin-2
P19957
Elafin (Elastase-specific inhibitor)
12.3
Neutrophil and pancreatic







elastase-specific inhibitor of skin.







It may prevent elastase-mediated







tissue proteolysis


137
A2M
P01023
Alpha-2-macroglobulin
163.3
It Is able to inhibit all four classes







of proteinases by a unique







‘trapping’ mechanism


138
Kallikrein 7
P49862
Kallikrein-7
27.5
May catalyze the degradation of







intercellular cohesive structures in







the cornified layer of the skin in







the continuous shedding of cells







from the skin surface


139
SSEA-4
n/a
Stage-specific embryonic antigen 4/
n/a
n/a


140
Kininostatin/
P01042
Kininogen-1
72
Kininogens are inhibitors of thiol



kininogen



proteases


141
VEGF-C
P49767
Vascular endothelial growth factor C
46.9
Growth factor active in







angiogenesis, and endothelial cell







growth (ligand of VEGFR3)


142
GRP75
P38646
Heat Shock Protein Family A (Hsp70)
73.7
Implicated in the control of cell





Member 9

proliferation and cellular aging.







May also act as a chaperone for







protein folding


143
TRKB
Q16288
Neurotrophic Tyrosine Kinase, Receptor,
92
Receptor tyrosine kinase





Type 3


144
ADAMTS-10
Q9H324
ADAM Metallopeptidase With
120.9
Metalloprotease that participate in





Thrombospondin Type 1 Motif 10

microfibrils assembly.


145
Tarc
Q92583
C-C motif chemokine 17
10.5
Signalling chemokine.







Chemotactic factor for T-







lymphocytes but not monocytes or







granulocytes. May play a role in T-







cell development in thymus and in







trafficking and activation of mature







T-cells


146
MMP-10
P09238
Stromelysin-2 (matrix metallo proteinase 10)
54.1
Matrix metallo Proteinase


147
PARK7
Q99497
Protein deglycase DJ-1
19.9
Protein deglycase that repairs







methylglyoxal- and glyoxal-







glycated amino acids and proteins


148
GDF-15
Q99988
Growth/differentiation factor 15
34.1
belonging to the transforming







growth factor beta superfamily that







has a role in regulating







inflammatory and apoptotic







pathways in injured tissues and







during disease processes


149
Vitronectin
P04004
Vitronectin (VN) (S-protein) (Serum-
54.3
Glycoprotein promoting cell





spreading factor)

adhesion via integrins


150
IL-6
P05231
Interleukin-6
23.7
Pro-inflammatory cytokine


151
HSPA8
P11142
Heat shock cognate 71 kDa protein
70.9
Acts as a repressor of transcriptional







activation and a chaperone


152
Serpin A12
Q8IW75
Serpin A12
47.2
Adipokine that modulates insulin







action by specifically inhibiting its







target protease KLK7 in white







adipose tissues


153
IL-17RC
Q8NAC3
Interleukin-17 receptor C
86.2
Pro-inflammatory cytokine







receptor


154
PAI-1
P05121
Plasminogen activator inhibitor 1
45
Serine protease inhibitor. This







inhibitor acts as ‘bait’ for tissue







plasminogen activator, urokinase


155
TCCR/WSX-1
Q6UWB1
Interleukin-27 receptor subunit alpha
69.5
Receptor for IL27. This signaling







system acts through STAT3 and







STAT1 and it is Involved in the







regulation of Th1-type immune







responses


156
BMP-5
P22003
Bone morphogenetic protein 5
51.7
Induces cartilage and bone







formation


157
Neurokinin-A
P20366
Tachykinin Precursor 1
15
Tachykinins are active peptides







which excite neurons, evoke







behavioral responses, are potent







vasodilators and secretagogues,







and contract (directly or indirectly)







many smooth muscles


158
Beta IG-H3
Q15582
Transforming Growth Factor Beta
74.7
May play a role in cell-collagen





Induced

interactions


159
CNTF
P26441
Ciliary neurotrophic factor
22.9
CNTF is a survival factor for







various neuronal cell types.


160
Troponin C
P63316
Troponin C, slow skeletal and cardiac
18.4
Central regulatory protein of





muscles

striated muscle contraction


161
Mammaglobin A
Q13296
Mammaglobin-A
10.5
Expressed mainly in mucosa,







secretoglobins seem to be







involved in cell signalling, immune







response, and chemotaxis, and







may also serve as transporters for







steroid hormones in humans


162
Serpin A1
P01009
Alpha-1-antitrypsin
46.7
Inhibitor of serine proteases


163
LRP-1
Q07954
Prolow-density lipoprotein receptor-
504.6
Endocytic receptor involved in





related protein 1

endocytosis and in phagocytosis







of apoptotic cells


164
L-Selectin
P14151
L-selectin
42.2
Cell surface adhesion protein.



(CD62L)



Mediates the adherence of







lymphocytes to endothelial cells


165
PYK2
Q14289
Protein-tyrosine kinase 2-beta
115.9
Non-receptor protein-tyrosine







kinase that regulates







reorganization of the actin







cytoskeleton


166
TWEAK R/
Q93038
Tumor necrosis factor receptor
45.4
TNFR superfamily member



TNFRSF12

superfamily member 25


167
IL-26
Q9NPH9
Interleukin-26
19.8
Pro-inflammatory Signalling







cytokine


168
IL-15 R alpha
Q13261
Interleukin-15 receptor subunit alpha
28.2
Cytokine receptor


169
VE-Cadherin
P33151
Cadherin-5
87.5
calcium-dependent cell adhesion







proteins


170
TMEFF1/
Q8IYR6
Tomoregulin-1
40.9
Transmembrane protein



Tomoregulin-1


171
Itk
Q08881
Tyrosine-protein kinase ITK/TSK
71.8
Tyrosine kinase that plays an







essential role in regulation of the







adaptive immune response


172
S100A8
P05109
Protein S100-A8
10.8
Calcium- and zinc-binding protein







which plays a prominent role in







the regulation of inflammatory







processes and immune response


173
NRG3
P56975
Pro-neuregulin-3
77.9
Direct activator of the ERBB4







tyrosine kinase receptor.


174
GFR alpha-4
Q9GZZ7
GDNF family receptor alpha-4
31.7
Receptor for persephin


175
VEGF R2
P35968
Vascular endothelial growth factor
151.5
Tyrosine-protein kinase that acts



(KDR)

receptor 2

as a cell-surface receptor for







VEGFA, VEGFC and VEGFD.







Plays an essential role in the







regulation of angiogenesis


176
Pro-MMP-13
P45452
Matrix Metallopeptidase 13
53.8
Matrix metallo proteinase







(collagenase 3)


177
IL-31
Q6EBC2
Interleukin-31
82.9
Signalling cytokine


178
uPAR
Q03405
Plasminogen Activator, Urokinase
37
Urokinase receptor





Receptor


179
Livin
Q96CA5
Baculoviral IAP repeat-containing protein 7
32.8
Apoptotic regulator (mostly anti-







apoptotic)


180
VCAM-1
P19320
Vascular cell adhesion protein 1
81.3
Adhesion molecule



(CD106)


181
D-Dimer
n/a
D dimer (a fibrin degradation product)
200
A fibrin degradation product


182
IL-17B R
Q9NRM6
Interleukin-17 receptor B
55.9
Interleukin-17 receptor B


183
IL-17C
Q9P0M4
Interleukin-17C
21.7
Interleukin 17 family member


184
IL-17D
Q8TAD2
Interleukin-17D
21.8
Interleukin 17 family member


185
Hck
P08631
HCK Proto-Oncogene, Src Family
59.6
Tyrosine-protein kinase HCK





Tyrosine Kinase


186
Galanin
P22466
Galanin peptides
13.3
Endocrine hormone


187
Lymphotactin/
P47992
Lymphotactin (ATAC) (C motif chemokine 1)
12.5
Pro-inflammatory Chemokine



XCL1


188
HTRA2
O43464
Serine protease HTRA2, mitochondrial
48.8
Serine protease (enzyme)


189
SSTR2
P30874
Somatostatin receptor type 2
41.3
Receptor for somatostatin-14 and -28


190
FRK
P42685
Tyrosine-protein kinase FRK
58.2
Non-receptor tyrosine-protein







kinase that negatively regulates







cell proliferation


191
PTPRD
P23468
Receptor-type tyrosine-protein
214.8
Receptor-type tyrosine-protein





phosphatase delta

phosphatase delta


192
MMP-20
O60882
Matrix metalloproteinase-20
54.4
Matrix metallo proteinase


193
MIP-3 alpha
P78556
C-C Motif Chemokine Ligand 20
13.4
Chemokine for monocytes


194
Alpha 1
P02760
Alpha 1 Microglobulin
27
A1M binds and degrades heme, is



Microglobulin



a radical scavenger as well as







a reductase


195
IL-31 RA
Q8NI17
Interleukin-31 receptor subunit alpha
82.9
Interleukin-31 receptor subunit







alpha


196
GPX3
P22352
Glutathione peroxidase 3
25.6
Anti-oxidant enzyme


197
IBSP
P21815
Bone sialoprotein 2
35.1
Binds tightly to hydroxyapatite.







Appears to form an integral part of







the mineralized bone matrix.







Probably important to cell-matrix







interaction.


198
IL-1 R9
Q9NP60
X-linked interleukin-1 receptor
78.7
Member of the interleukin 1





accessory protein-like 2

receptor family


199
Endothelin
P05305
Endothelin
24.4
It is a potent vasoconstrictor and







is produced by







vascular endothelial cells


200
pro-Glucagon
P01275
Glucagon preprotein
20.9
Regulates blood glucose by







increasing gluconeogenesis and







decreasing glycolysis


201
GADD45A
P24522
Growth Arrest And DNA Damage
18.3
It stimulates DNA excision repair





Inducible Alpha

and inhibits entry of cells into S







phase


202
Omentin
Q8WWA0
Omentin
34.9
It enhances insulin-stimulated







glucose uptake in adipocytes









The present disclosure has been described with reference to one or more exemplary data embodiments. However, it will be understood by those skilled in the art that various changes can be made, and equivalents can be substituted, without departing from the scope of the present disclosure. In addition, modifications can be made to adapt a particular material to the teachings of the present disclosure without departing from the scope thereof. Therefore, the present disclosure is not intended to be limited to the particular material or embodiment disclosed, but includes all materials and embodiments falling within the scope hereof.

Claims
  • 1. A topical skin composition formulated to achieve a desired skin benefit, the composition comprising: a blend of proteins that have been selected based on the desired skin benefit to be derived by application of the topical skin composition,wherein each one of the blend of proteins are from a homogenous donor group having two or more individuals;a delivery vehicle for the proteins,wherein the blend of proteins is present in an amount from 0.0001 wt. % to 10 wt. % based on the total weight of the topical skin composition.
  • 2. The topical skin composition of claim 1, wherein the amount is 0.001 wt. % to 5.0 wt. %.
  • 3. The topical skin composition of claim 1, wherein the amount is 0.001 wt. % to 1.0 wt. %.
  • 4. The topical skin composition of claim 1, wherein the homogenous donor group is selected from the group consisting of: Asian, African, and Caucasian.
  • 5. The topical skin composition of claim 4, wherein the homogenous donor group comprises donors who constitute a group whose bloodlines are 80% or greater of a single race or ethnicity.
  • 6. The topical skin composition of claim 1, wherein the proteins are synthetically derived.
  • 7. The topical skin composition of claim 1, wherein the desired skin effect is at least one skin effect selected from the group consisting of: pigmentation, wound healing, inflammation, dermal matrix, wrinkles, scar prevention, and epidermis.
  • 8. The topical skin composition of claim 1, wherein the topical skin composition is an emulsion.
  • 9. The topical skin composition of claim 8, wherein the emulsion is an oil in water emulsion.
  • 10. The topical skin composition of claim 1, wherein the vehicle includes at least one ingredient selected from the group consisting of one or more antioxidants, polypeptides, vitamins, plant extracts, materials derived from plant stem cells, oils, preservatives, thickening agents, ceramides, skin lighteners, exfoliants, anti-aging and anti-wrinkle agents, sunscreens, skin barrier repair agents, moisturizing ingredients, essential fatty acids, humectants, emollients, solvents, surfactants, emulsifiers, fillers, polymers, buffers, temperature regulating agents, and the like, and combinations thereof.
  • 11. The topical skin composition of claim 10, wherein the vehicle can include water.
  • 12. The topical skin composition of claim 11, wherein the vehicle is up to 99 wt. % based on the total weight of the topical skin composition.
  • 13. A topical skin composition formulated to achieve a desired skin benefit, the composition comprising: a blend of proteins that have been selected based on the desired skin benefit to be derived by application of the topical skin composition,wherein the blend of proteins is from one or more donors from at least two or more donor groups;a delivery vehicle for the proteins,wherein the blend of proteins is present in an amount from 0.0001 wt. % to 10 wt. % based on the total weight of the topical skin composition.
  • 14. The topical skin composition of claim 13, wherein the donor group is heterogenous and is selected from the group consisting of: Asian and African; Asian and Caucasian; African and Caucasian; and Asia, African, and Caucasian.
  • 15. The topical skin composition of claim 13, wherein the amount is 0.001 wt. % to 5.0 wt. %.
  • 16. The topical skin composition of claim 13, wherein the amount is 0.001 wt. % to 1.0 wt. %.
  • 17. The topical skin composition of claim 13, wherein the proteins are synthetically derived.
  • 18. The topical skin composition of claim 13, wherein the desired skin effect is at least one skin effect selected from the group consisting of: pigmentation, wound healing, inflammation, dermal matrix, wrinkles, scar prevention, and epidermis.
  • 19. The topical skin composition of claim 13, wherein the topical skin composition is an emulsion.
  • 20. The topical skin composition of claim 13, wherein the vehicle includes at least one ingredient selected from the group consisting of one or more antioxidants, polypeptides, vitamins, plant extracts, materials derived from plant stem cells, oils, preservatives, thickening agents, ceramides, skin lighteners, exfoliants, anti-aging and anti-wrinkle agents, sunscreens, skin barrier repair agents, moisturizing ingredients, essential fatty acids, humectants, emollients, solvents, surfactants, emulsifiers, fillers, polymers, buffers, temperature regulating agents, and the like, and combinations thereof.
CROSS REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application Ser. No. 62/261,285, filed Nov. 30, 2015, the contents of which are incorporated by reference herein.

Provisional Applications (1)
Number Date Country
62261285 Nov 2015 US