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, 8 (1), e55346

Blood Monocyte Chemotactic protein-1 (MCP-1) and Adapted Disease Activity Score28-MCP-1: Favorable Indicators for Rheumatoid Arthritis Activity

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Blood Monocyte Chemotactic protein-1 (MCP-1) and Adapted Disease Activity Score28-MCP-1: Favorable Indicators for Rheumatoid Arthritis Activity

Lieh-bang Liou et al. PLoS One.

Abstract

Objective: We assessed blood pentraxin 3 (PTX3) and macrophage chemotactic factor-1 (MCP-1) levels as indicators of disease activity in rheumatoid arthritis (RA) patients, because data on disease activity score 28 (DAS28)-erythrocyte sedimentation rate (ESR) and DAS28-C-reactive protein (CRP) are still imperfect.

Methods: In 111 patients with RA, we examined longitudinal and cross-sectional correlations of blood PTX3, MCP-1, CRP, and ESR levels with measures of clinical arthritic activity, namely, swollen joint count (SJC), tender joint count (TJC), visual analog scale for general health (GH), DAS28, and adapted DAS28-MCP-1.

Results: Blood MCP-1, but not PTX3, was significantly correlated with SJC, TJC, DAS28, and DAS28-CRP. DAS28-MCP-1 was strongly correlated with DAS28 (r = 0.984, P<0.001) and DAS28-CRP (r = 0.971, P<0.001), and modestly correlated with CRP (r = 0.350, P<0.001), and ESR (r = 0.386, P<0.001). Similarly, the duration of arthritic symptoms, but not sex, was significantly correlated with variables of arthritic activity. In particular, DAS28-MCP-1 significantly correlated with DAS28 during a 6-month period (r = 0.944, P<0.001; r = 0.951, P<0.001; r = 0.862, P<0.001; and r = 0.865, P<0.001 for month 0, 1, 3, and 6, respectively).

Conclusion: Blood MCP-1 and adapted DAS28-MCP-1, but not blood PTX3, may be useful in monitoring RA activity.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Performance and correlation of DAS28-MCP-1 with DAS28.
Correlation analysis was performed by estimating Pearson’s correlation coefficients for 111 patients with rheumatoid arthritis, including 48 newly diagnosed (blood drawn four times in a 6-month period) patients and 63 patients undergoing standard treatment (blood drawn only once). (A) Overall correlation between DAS28-MCP-1 and DAS28 (48 newly diagnosed patients at 0 months plus 63 patients) (r  = 0.984 and P<0.001). (B) Change in DAS28-MCP-1 during a 6-month period was assessed by ANOVA and post-hoc LSD test. The P-values were <0.001, 0.022, and <0.001 for the comparison of 0 (n  = 48) months, with 1 (n  = 44), 3 (n  = 36), and 6 months (n  = 30), respectively. Values were expressed as mean ± SD. (C) Correlation between DAS28 and DAS28-MCP-1 at 0 months among newly diagnosed patients (r  = 0.944 and P<0.001). (D) Correlation between DAS28 and DAS28-MCP-1 at 1 months among newly diagnosed patients (r  = 0.951 and P<0.001). (E) Correlation between DAS28 and DAS28-MCP-1 at 3 months among newly diagnosed patients (r  = 0.862 and P<0.001). (F) Correlation between DAS28 and DAS28-MCP-1 at 6 months among newly diagnosed patients (r  = 0.865 and P<0.001).

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Grant support

This work was supported by Chang Gung Medical Foundation Research Grant (CMRPG 360171-2). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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