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Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers.
Cretu, Daniela; Gao, Lisa; Liang, Kun; Soosaipillai, Antoninus; Diamandis, Eleftherios P; Chandran, Vinod.
Afiliación
  • Cretu D; University of Toronto, Toronto, Ontario, Canada.
  • Gao L; University of Waterloo, Waterloo, Ontario, Canada.
  • Liang K; University of Waterloo, Waterloo, Ontario, Canada.
  • Soosaipillai A; Mount Sinai Hospital, Toronto, Ontario, Canada.
  • Diamandis EP; Mount Sinai Hospital and University of Toronto, Toronto, Ontario, Canada.
  • Chandran V; Toronto Western Hospital, Krembil Research Institute, and University of Toronto, Toronto, Ontario, Canada.
Arthritis Care Res (Hoboken) ; 70(3): 454-461, 2018 03.
Article en En | MEDLINE | ID: mdl-28586166
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 ß5 [ITGß5]), 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, ITGß5, 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, ITGß5, 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, ITGß5, M2BP, MPO, MMP-3, and CRP level are markers for PsA. The combination of ITGß5, M2BP, and CRP level differentiates PsA from PsC, and performs better than CRP level alone.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Psoriasis / Biomarcadores / Artritis Psoriásica Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Arthritis Care Res (Hoboken) Asunto de la revista: REUMATOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Psoriasis / Biomarcadores / Artritis Psoriásica Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Arthritis Care Res (Hoboken) Asunto de la revista: REUMATOLOGIA Año: 2018 Tipo del documento: Article País de afiliación: Canadá