A multi-biomarker score measures rheumatoid arthritis disease activity in the BeSt study.

Hirata S, Dirven L, Shen Y, Centola M, Cavet G, Lems WF, Tanaka Y, Huizinga TW, Allaart CF.
Journal   Rheumatology (Oxford)
Species  
Analytes Measured   CRP , EGF , IL-6 , Leptin , MMP-1 , MMP-3 total , Resistin , SAA , TNF-RI , VCAM-1 , Flt-1 VEGFR1 , YKL-40
Matrix Tested   Serum
Year   2013
Volume  
Page Numbers  
Application   Cytokines and Chemokines , Metabolic
Abstract
Objective: To evaluate a multi-biomarker disease activity (MBDA) score, a novel index based on 12 serum proteins, as a tool to guide management of RA patients.

Methods: A total of 125 patients with RA from the Behandel Strategieën study were studied. Clinical data and serum samples were available from 179 visits, 91 at baseline and 88 at year 1. In each serum sample, 12 biomarkers were measured by quantitative multiplex immunoassays and the concentrations were used as input to a pre-specified algorithm to calculate MBDA scores.

Results: MBDA scores had significant correlation with DAS28-ESR (Spearman's ρ = 0.66, P < 0.0001) and also correlated with simplified disease activity index, clinical disease activity index and HAQ Disability Index (all P < 0.0001). Changes in MBDA between baseline and year 1 were also correlated with changes in DAS28-ESR (ρ = 0.55, P < 0.0001). Groups stratified by European League Against Rheumatism disease activity (DAS28-ESR ≤ 3.2, 3.2-5.1 and > 5.1) had significantly different MBDA scores (P < 0.0001) and MBDA score could discriminate ACR/EULAR Boolean remission with an area under the receiver operating characteristic curve of 0.83 (P < 0.0001).

Conclusion: The MBDA score reflects current clinical disease activity and can track changes in disease activity over time.

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Multiplex
U-PLEX Biomarker Group 1 (ms) 35-Plex
EPO, GM-CSF, IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17C, IL-17E/IL-25, IL-17F, IL-21, IL-22, IL-23, IL-27p28/IL-30, IL-31, IL-33, IP-10, KC/GRO, MCP-1, MIP-1α, MIP-1β, MIP-2, MIP-3α, TNF-α, VEGF-A | Mouse
Multiplex
U-PLEX TH17 Combo 1 (NHP)
IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-17A, TNF-α | Non-human primate
Multiplex
U-PLEX Biomarker Group 1 (hu) 71-Plex
CTACK, ENA-78, Eotaxin, Eotaxin-2, Eotaxin-3, EPO, FLT3L, Fractalkine, G-CSF, GM-CSF, GRO-α, I-309, IFN-α2a, IFN-β, IFN-γ, IL-1α, IL-1β, IL-1RA, IL-2, IL-2Rα, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, IL-12/IL-23p40, IL-12p70, IL-13, IL-15, IL-16, IL-17A, IL-17A/F, IL-17B, IL-17C, IL-17D, IL-17E/IL-25, IL-17F, IL-18, IL-21, IL-22, IL-23, IL-27, IL-29/IFN-λ1, IL-31, IL-33, IP-10, I-TAC, MCP-1, MCP-2, MCP-3, MCP-4, M-CSF, MDC, MIF, MIP-1α, MIP-1β, MIP-3α, MIP-3β, MIP-5, SDF-1α, TARC, TNF-α, TNF-β, TPO, TRAIL, TSLP, VEGF-A, YKL-40 | Human
Multiplex
U-PLEX TH17 Combo 2 (hu)
IFN-γ, IL-1β, IL-6, IL-10, IL-17A, IL-17E/IL-25, IL-17F, IL-21, IL-22, TNF-α | Human
Multiplex
U-PLEX Training Pack, 10-Assay
IL-1β, IL-6, IL-8, TNF-α | Human
Multiplex
U-PLEX Training Pack, 4-Assay
IL-1β, IL-6, IL-8, TNF-α | Human
Multiplex
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