Prediction of Autoimmune Diseases by Targeted Metabolomic Assay of Urinary Organic Acids.

ABSTRACT: Autoimmune diseases (ADs) are chronic disorders characterized by the loss of self-tolerance, and although being heterogeneous, they share common pathogenic mechanisms. Self-antigens and inflammation markers are established diagnostic tools; however, the metabolic imbalances that underlie ADs are poorly described. The study aimed to employ metabolomics for the detection of disease-related changes in autoimmune diseases that could have predictive value. Quantitative analysis of 28 urine organic acids was performed using Gas Chromatography-Mass Spectrometry in a group of 392 participants. Autoimmune thyroiditis, inflammatory bowel disease, psoriasis and rheumatoid arthritis were the most prevalent autoimmune diseases of the study. Statistically significant differences were observed in the tri

SUBMITTER: Tsoukalas D 

PROVIDER: S-EPMC7764183 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature