Identifying antigen clusters for monitoring a global state of an immune system

Abstract

Method, system and an article of manufacture for clustering and thereby identifying predefined antigens reactive with undetermined immunoglobulins of sera derived from patient subjects in need of diagnosis of disease or monitoring of treatment.

What is claimed is: 
     
         1 . A method of identifying a sample as obtained from a patient affected by type I diabetes or type II diabetes, the method comprising:
 a) determining an antibody pattern in the sample by assaying said sample for the presence of antibodies binding to antigens of a type II diabetes disease classifier, said disease classifier comprising at least three antigens of cluster 19 comprising:
 Spectrin, Vimentin, Fibronectin, Acid Collagen, Collagen I, Collagen IX, Peroxidase, Tyrosinase, Enolase, Ribonuclease, Albumin, Fibrin, Human IgM, HSP60, p277, C9, N4, Brain Extract, Ec27, P278, KLH and Glucocereb; and 
   b) comparing said antibody pattern to said classifier, wherein an antibody pattern including the presence of antibodies binding the antigens of said classifier is indicative for type II diabetes.   
     
     
         2 . The method of  claim 1 , wherein said disease classifier comprises the antigens of cluster 19 comprising: Spectrin, Vimentin, Fibronectin, Acid Collagen, Collagen I, Collagen IX, Peroxidase, Tyrosinase, Enolase, Ribonuclease, Albumin, Fibrin, Human IgM, HSP60, p277, C9, N4, Brain Extract, Ec27, P278, KLH and Glucocereb. 
     
     
         3 . The method of  claim 1 , wherein the sample is a serum sample. 
     
     
         4 .  2 . The method of  claim 1 , wherein determining said antibody pattern is effected by ELISA. 
     
     
         5 . The method of  claim 1 , wherein said disease classifier consists of said antigens.