Daniela Cretu1, Lisa Gao2, Kun Liang2, Antoninus Soosaipillai3, Eleftherios P Diamandis4, Vinod Chandran5. 1. University of Toronto, Toronto, Ontario, Canada. 2. University of Waterloo, Waterloo, Ontario, Canada. 3. Mount Sinai Hospital, Toronto, Ontario, Canada. 4. Mount Sinai Hospital and University of Toronto, Toronto, Ontario, Canada. 5. Toronto Western Hospital, Krembil Research Institute, and University of Toronto, Toronto, Ontario, Canada.
Abstract
OBJECTIVE: 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-reactive protein (CRP) level in differentiating PsA patients from those with psoriasis without PsA (PsC). METHODS: In this case-control 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-linked immunosorbent assay, 4 high-priority markers (Mac-2-binding protein [M2BP], CD5-like protein [CD5L], myeloperoxidase [MPO], and integrin β5 [ITGβ5]), as well as previously established markers (matrix metalloproteinase 3 [MMP-3] and CRP level) were assayed. Data were analyzed using logistic regression. Receiver operating characteristic (ROC) curves were plotted. RESULTS: In comparisons to controls, CD5L, ITGβ5, M2BP, MPO, MMP-3, and CRP level were independently associated with PsA, while only CD5L, M2BP, and MPO were independently associated with PsC alone. In comparisons to PsC, ITGβ5, M2BP, and CRP level were independently associated with PsA. ROC analysis of this model shows an area under the curve (AUC) of 0.85 (95% confidence interval [95% CI] 0.80-0.90). The model that included CRP level alone had an AUC of 0.71 (95% CI 0.64-0.78). CONCLUSION: CD5L, ITGβ5, M2BP, MPO, MMP-3, and CRP level are markers for PsA. The combination of ITGβ5, M2BP, and CRP level differentiates PsA from PsC, and performs better than CRP level alone.
OBJECTIVE: There is a high prevalence of undiagnosed psoriatic arthritis (PsA) in patients with psoriasis. Identifying soluble biomarkers for PsA will help in screening psoriasispatients 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-reactive protein (CRP) level in differentiating PsA patients from those with psoriasis without PsA (PsC). METHODS: In this case-control 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-linked immunosorbent assay, 4 high-priority markers (Mac-2-binding protein [M2BP], CD5-like protein [CD5L], myeloperoxidase [MPO], and integrin β5 [ITGβ5]), as well as previously established markers (matrix metalloproteinase 3 [MMP-3] and CRP level) were assayed. Data were analyzed using logistic regression. Receiver operating characteristic (ROC) curves were plotted. RESULTS: In comparisons to controls, CD5L, ITGβ5, M2BP, MPO, MMP-3, and CRP level were independently associated with PsA, while only CD5L, M2BP, and MPO were independently associated with PsC alone. In comparisons to PsC, ITGβ5, M2BP, and CRP level were independently associated with PsA. ROC analysis of this model shows an area under the curve (AUC) of 0.85 (95% confidence interval [95% CI] 0.80-0.90). The model that included CRP level alone had an AUC of 0.71 (95% CI 0.64-0.78). CONCLUSION:CD5L, ITGβ5, M2BP, MPO, MMP-3, and CRP level are markers for PsA. The combination of ITGβ5, M2BP, and CRP level differentiates PsA from PsC, and performs better than CRP level alone.
Authors: Jared Liu; Sugandh Kumar; Julie Hong; Zhi-Ming Huang; Diana Paez; Maria Castillo; Maria Calvo; Hsin-Wen Chang; Daniel D Cummins; Mimi Chung; Samuel Yeroushalmi; Erin Bartholomew; Marwa Hakimi; Chun Jimmie Ye; Tina Bhutani; Mehrdad Matloubian; Lianne S Gensler; Wilson Liao Journal: Front Immunol Date: 2022-03-02 Impact factor: 7.561
Authors: Michelle L M Mulder; Tamara W van Hal; Mark H Wenink; Hans J P M Koenen; Frank H J van den Hoogen; Elke M G J de Jong; Juul M P A van den Reek; Johanna E Vriezekolk Journal: Arthritis Res Ther Date: 2021-06-14 Impact factor: 5.156