{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T01:29:12Z","timestamp":1780622952737,"version":"3.54.1"},"reference-count":47,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2018,2,26]],"date-time":"2018-02-26T00:00:00Z","timestamp":1519603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100006483","name":"AbbVie","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006483","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004089","name":"Krembil Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004089","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003579","name":"University of Toronto","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003579","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Arthritis Care & Research"],"published-print":{"date-parts":[[2018,3]]},"abstract":"Objective<\/jats:title>There is a high prevalence of undiagnosed psoriatic arthritis (PsA) in patients with psoriasis. Identifying soluble biomarkers for PsA will help in screening psoriasis patients for appropriate rheumatology referral. We therefore aimed to investigate whether serum levels of novel markers previously discovered by quantitative mass spectrometric analysis of synovial fluid and skin biopsies performs better than the C\u2010reactive protein (CRP<\/jats:styled-content>) level in differentiating PsA patients from those with psoriasis without PsA (PsC).<\/jats:p><\/jats:sec>Methods<\/jats:title>In this case\u2013control study, serum samples were obtained from 100 subjects with PsA, 100 with PsC, and 100 healthy controls. Patients with PsA and PsC were group matched for age, sex, psoriasis duration, and Psoriasis Area and Severity Index and were not currently receiving biologic treatment. Using enzyme\u2010linked immunosorbent assay, 4 high\u2010priority markers (Mac\u20102\u2010binding protein [M2BP<\/jats:styled-content>], CD<\/jats:styled-content>5\u2010like protein [CD<\/jats:styled-content>5L], myeloperoxidase [MPO<\/jats:styled-content>], and integrin \u03b25 [ITG<\/jats:styled-content>\u03b25]), as well as previously established markers (matrix metalloproteinase 3 [MMP<\/jats:styled-content>\u20103] and CRP<\/jats:styled-content> level) were assayed. Data were analyzed using logistic regression. Receiver operating characteristic (ROC<\/jats:styled-content>) curves were plotted.<\/jats:p><\/jats:sec>Results<\/jats:title>In comparisons to controls, CD<\/jats:styled-content>5L, ITG<\/jats:styled-content>\u03b25, M2BP<\/jats:styled-content>, MPO<\/jats:styled-content>, MMP<\/jats:styled-content>\u20103, and CRP<\/jats:styled-content> level were independently associated with PsA, while only CD<\/jats:styled-content>5L, M2BP<\/jats:styled-content>, and MPO<\/jats:styled-content> were independently associated with PsC alone. In comparisons to PsC, ITG<\/jats:styled-content>\u03b25, M2BP<\/jats:styled-content>, and CRP<\/jats:styled-content> level were independently associated with PsA. ROC<\/jats:styled-content> analysis of this model shows an area under the curve (AUC<\/jats:styled-content>) of 0.85 (95% confidence interval [95% CI<\/jats:styled-content>] 0.80\u20130.90). The model that included CRP<\/jats:styled-content> level alone had an AUC<\/jats:styled-content> of 0.71 (95% CI<\/jats:styled-content> 0.64\u20130.78).<\/jats:p><\/jats:sec>Conclusion<\/jats:title>CD<\/jats:styled-content>5L, ITG<\/jats:styled-content>\u03b25, M2BP<\/jats:styled-content>, MPO<\/jats:styled-content>, MMP<\/jats:styled-content>\u20103, and CRP<\/jats:styled-content> level are markers for PsA. The combination of ITG<\/jats:styled-content>\u03b25, M2BP<\/jats:styled-content>, and CRP<\/jats:styled-content> level differentiates PsA from PsC, and performs better than CRP<\/jats:styled-content> level alone.<\/jats:p><\/jats:sec>","DOI":"10.1002\/acr.23298","type":"journal-article","created":{"date-parts":[[2017,6,6]],"date-time":"2017-06-06T11:58:16Z","timestamp":1496750296000},"page":"454-461","source":"Crossref","is-referenced-by-count":56,"title":["Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers"],"prefix":"10.1002","volume":"70","author":[{"given":"Daniela","family":"Cretu","sequence":"first","affiliation":[{"name":"University of Toronto Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Gao","sequence":"additional","affiliation":[{"name":"University of Waterloo Waterloo Ontario 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