Autoantibodies are markers of autoimmune diseases. The most frequently observed is the anti-SSA/Ro autoantibody. It is observed in Gougerot-Sjögren syndrome, systemic lupus erythematosus, undifferentiated connectivites but also sometimes in rheumatoid arthritis and scleroderma. Using artificial intelligence approaches on multi-omics data (genomic, epigenomic, transcriptomic and proteomic) from more than 1000 patients, LBAI researchers have identified a common signature for all patients carrying anti-SSA/Ro autoantibodies. This should make it possible to envisage precision medicine approaches.

Foulquier N, Le Dantec C, Bettacchioli E, Jamin C, PRECISESADS  Clinical  Consortium, PRECISESADS  Flow  Cytometry  Consortium, Alarcón-Riquelme ME and  Pers JO. Machine learning identifies a common signature for anti-SSA/Ro60 antibody expression across autoimmune diseases. 2022, Arthritis & Rheumatology. DOI: 10.1002/art.42243