{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T11:53:16Z","timestamp":1791805996512,"version":"4.3.4"},"reference-count":39,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T00:00:00Z","timestamp":1662595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:sec><jats:title>Objectives<\/jats:title><jats:p>The development of autoantibody directed towards citrullinated proteins (ACPA) are predictive of RA in at-risk individuals. The biological events that underpin loss of immune tolerance and progression into inflammatory arthritis are not known. We sought to identify serum proteomic alterations that drive autoantibody formation, persistence and progression into inflammatory arthritis in a cohort of first-degree relatives (FDR) of RA patients.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We studied baseline serum samples from a cohort of Indigenous FDR (n = 147) and quantified serum proteins using a 48-plex platform. Longitudinal outcomes were defined on the basis of ACPA status and progression into inflammatory arthritis (IA). K-means clustering, differential expression, and principal components analyze group differences. A co-expression module analysis was used to identify enriched networks. Random forest was used to classify ACPA positive samples, while network analysis was used to understand underlying biological processes based on protein expression.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We defined 6 proteomic clusters, with enrichment of ACPA positive samples in one of the clusters. 23 of 24 differentially expressed proteins in ACPA positive samples were upregulated. A co-expression network was enriched in ACPA positive sera and individuals who progressed into IA. Random Forest achieved an area under the curve of 0.767 to classify ACPA positive sera in a test dataset. Network analysis revealed upregulation of JAK-STAT signalling as being activated in those at highest risk to develop future IA.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The serum proteome provides a rich dataset to understand biological processes in ACPA seropositive individuals. A combination of serum biomarkers, including ACPA, may predict future arthritis onset in at-risk individuals.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fimmu.2022.958145","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T04:50:40Z","timestamp":1662612640000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Serum proteomic networks associate with pre-clinical rheumatoid arthritis autoantibodies and longitudinal outcomes"],"prefix":"10.3389","volume":"13","author":[{"given":"Liam J.","family":"O\u2019Neil","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaobo","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caitlin","family":"Mcfadyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marvin J.","family":"Fritzler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hani S.","family":"El-Gabalawy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2022,9,8]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMra1004965","article-title":"The pathogenesis of rheumatoid arthritis","volume":"365","author":"McInnes","year":"2011","journal-title":"N Engl J Med"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)30173-8","article-title":"Rheumatoid arthritis","volume":"388","author":"Smolen","year":"2016","journal-title":"Lancet"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1038\/nrrheum.2014.6","article-title":"Pathogenesis and prevention of rheumatic disease: focus on preclinical RA and SLE","volume":"10","author":"Deane","year":"2014","journal-title":"Nat Rev Rheumatol"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1136\/annrheumdis-2021-220884","article-title":"EULAR points to consider for conducting clinical trials and observational studies in individuals at risk of rheumatoid arthritis","volume":"80","author":"Mankia","year":"2021","journal-title":"Ann Rheum Dis"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1002\/art.40880","article-title":"Preclinical rheumatoid arthritis and rheumatoid arthritis prevention","volume":"20","author":"Deane","year":"2018","journal-title":"Curr Rheumatol Rep"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1007\/s11926-018-0754-0","article-title":"Preclinical rheumatoid arthritis and rheumatoid arthritis prevention","volume":"20","author":"Deane","year":"2018","journal-title":"Curr Rheumatol Rep"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0035296","article-title":"Autoantibody epitope spreading in the pre-clinical phase predicts progression to rheumatoid arthritis","volume":"7","author":"Sokolove","year":"2012","journal-title":"PloS One"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1136\/ard.2008.105759","article-title":"Arthritis development in patients with arthralgia is strongly associated with anti-citrullinated protein antibody status: A prospective cohort study","volume":"69","author":"Bos","year":"2010","journal-title":"Ann Rheumatic Dis"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1136\/annrheumdis-2014-205227","article-title":"Predicting the development of clinical arthritis in anti-CCP positive individuals with non-specific musculoskeletal symptoms: A prospective observational cohort study","volume":"74","author":"Rakieh","year":"2015","journal-title":"Ann Rheumatic Dis"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1038\/nri2094","article-title":"Cytokines in the pathogenesis of rheumatoid arthritis","volume":"7","author":"McInnes","year":"2007","journal-title":"Nat Rev Immunol"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0199530","article-title":"A cytokine protein-protein interaction network for identifying key molecules in rheumatoid arthritis","volume":"13","author":"Panga","year":"2018","journal-title":"PloS One"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1038\/ncprheum0142","article-title":"& goronzy, j. j. 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