Pan-disease blood protein profiles of rheumatic autoimmune diseases
Kenrick, J.; Preger, C.; Bueno Alvez, M.; Ulloa, A.; Bergstrom, G.; Notarnicola, A.; Horuluoglu, B.; Smed-Sorensen, A.; Farnert, A.; Norrby-Teglund, A.; Gunnarsson, I.; Wahren-Herlenius, M.; Holmqvist, M.; Padyukov, L.; Chemin, K.; Diaz-Gallo, L. M.; Lundberg, I. E.; Svenungsson, E.; Malmstrom, V.; Klareskog, L.; Bergstrom, S.; Uhlen, M.; Nilsson, P.; Edfors, F.; Pin, E.
Show abstract
Systemic autoimmune rheumatic diseases (SARDs) are a heterogeneous group of autoimmune conditions characterized by immune system dysregulation leading to chronic inflammation and tissue damage. The overlapping clinical manifestations make differential diagnosis challenging, highlighting the need for novel biomarkers to facilitate early diagnosis, stratification, and personalized treatment. Five SARDs including idiopathic inflammatory myopathies (n=210), rheumatoid arthritis (n=84), systemic sclerosis (n=100), Sjogren disease (n=99), and systemic lupus erythematosus (n=99), as well as healthy controls (n=400) and controls with acute infectious diseases (n=218) were selected for plasma protein profiling using Olink Explore 1536. Proteins with known association to SARDs as well as novel associations were identified through differential abundance analysis and machine learning. This explorative cross-sectional study demonstrates the importance of a pan-disease approach to biomarker identification within and between the five SARDs. NPX boxplots from this study are available open-access through the Human Protein Atlas, facilitating further plasma-proteome research on autoimmune diseases.
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