Method for measuring systemic chronic inflammaging
AssigneeEdifice Health, Inc.
InventorsJose G. Montoya, Mark M. Davis, David Furman
Life of this patent
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Abstract
Provided herein is a method for measuring the levels of chronic inflammaging (SCI) of a subject. In some embodiments, the method may comprise measuring the amount of two or more of the proteins C-X-C motif ligand 9 (CXCL9), TNF-related apoptosis-inducing ligand (TRAIL), interferon gamma (IFNG), eosinophil chemotactic protein (EOTAXIN) and growth-regulated alpha protein (GROA) in a sample (e.g., blood serum) from the subject calculating a score based on the weighted amounts of each of those proteins.
Claims19
A computer-implemented method of identifying an age-related chronic inflammation condition in a human subject, the method comprising:
- (a) obtaining a sample from the human subject;
- (b) measuring an amount of two or more proteins, wherein the two or more proteins are selected from a list of proteins comprising a human C-X-C motif ligand 9 (CXCL9), a human tumor necrosis factor (TNF) related apoptosis-inducing ligand (TRAIL), a human interferon gamma (IFNG), a human eosinophil chemotactic protein (EOTAXIN) and a human growth-regulated alpha protein (GROA);
- (c) inputting the measured amounts of two or more proteins into a computer and executing a non-linear transformation algorithm which is a guided auto-encoder (GAE), based on the amount of two or more proteins to determine a systemic chronic inflammaging (SCI) score, wherein the SCI score provides a predicted chronological age of the human subject based on weighted amount of the two or more proteins;
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- (d) comparing the SCI score to the human subject's chronological age, wherein a higher SCI score relative to the human subject's chronological age indicates a presence of the age-related chronic inflammation condition.
A kit for measuring a systemic chronic inflammaging (SCI) of a human subject, the kit comprising:
- two or more capture agents, wherein each capture agent binds to a specific protein in a sample, and wherein the specific protein is selected from the group consisting of a human C-X-C motif ligand 9 (CXCL9), a human TNF related apoptosis-inducing ligand (TRAIL), a human interferon gamma (IFNG), a human EOTAXIN and a human GROA, IL2, TGFA, PAI1, MIP1A, leptin, IL1B, LIF, IL5, IFNA, IL4, NGF, HGF, VEGF, FGFB, TGFB, MCSF, PDGFBB, IL7, GMCSF, IL12P40, IL8, SCF, GCSF, CD40L, MIP1B, IL12P70, RESISTIN, IFNB, RANTES, TNFA, MCP1, IL17F, ENA78, IL1RA, IL10, IP10, IL13, IL1A, IL15, ICAM1, TNFB, IL6, MCP3, VCAM1, and FASL;
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- instructions for executing a non-linear transformation algorithm which is a guided auto-encoder (GAE), based on an amount of the protein present in the human sample to determine an SCI score, wherein the SCI score provides a predicted chronological age of the human subject based on weighted amount of the two or more proteins.
Dependencies are inferred from the claim text.