{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T16:45:18Z","timestamp":1793810718863,"version":"4.6.1"},"reference-count":47,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T00:00:00Z","timestamp":1637625600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100011272","name":"FP7 Health","doi-asserted-by":"publisher","award":["305266"],"award-info":[{"award-number":["305266"]}],"id":[{"id":"10.13039\/100011272","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["acrjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Arthritis &amp; Rheumatology"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To identify serum protein biomarkers that might distinguish patients with early inflammatory arthritis (IA) with psoriatic arthritis (PsA) from those with rheumatoid arthritis (RA) and may be used to support appropriate early intervention.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The serum proteome of patients with PsA and patients with RA was interrogated using nano\u2013liquid chromatography mass spectrometry (nano\u2010LC\u2010MS\/MS) (n = 64 patients), an aptamer\u2010based assay (SomaScan) targeting 1,129 proteins (n = 36 patients), and a multiplexed antibody assay (Luminex) for 48 proteins (n = 64 patients). Multiple reaction monitoring (MRM) assays were developed to evaluate the performance of putative markers using the discovery cohort (n = 60 patients) and subsequently an independent cohort of PsA and RA patients (n = 167).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Multivariate machine learning analysis of the protein discovery data from the 3 platforms revealed that it was possible to differentiate PsA patients from RA patients with an area under the curve (AUC) of 0.94 for nano\u2010LC\u2010MS\/MS, 0.69 for bead\u2010based immunoassay measurements, and 0.73 for aptamer\u2010based analysis. Subsequently, in the separate verification and evaluation studies, random forest models revealed that a subset of proteins measured by MRM could differentiate PsA and RA patients with AUCs of 0.79 and 0.85, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We present a serum protein biomarker panel that can separate patients with early\u2010onset IA with PsA from those with RA. With continued evaluation and refinement using additional and larger patient cohorts, including those with other arthropathies, we suggest that the panel identified here could contribute to improved clinical decision making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/art.41899","type":"journal-article","created":{"date-parts":[[2021,6,11]],"date-time":"2021-06-11T04:19:38Z","timestamp":1623385178000},"page":"81-91","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Identification and Evaluation of Serum Protein Biomarkers\u00a0That Differentiate Psoriatic Arthritis From Rheumatoid Arthritis"],"prefix":"10.1002","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1162-4866","authenticated-orcid":false,"given":"Angela","family":"Mc Ardle","sequence":"first","affiliation":[{"name":"University College Dublin  Dublin 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