Increased Circulating Pentraxin 3 Levels in Patients with Rheumatoid Arthritis: A Meta-analysis.

Abstract

Pentraxin 3 (PTX3), a soluble pattern recognition molecule, not only acts as a promising indicator reflecting the disease activity of rheumatoid arthritis (RA) patients but exerts essential pathogenic roles in the progression of RA and serves as a potential therapeutic target for RA patients. Our study intends to systematically evaluate the circulating PTX3 levels and their potential influencing factors in RA patients. Articles regarding the circulating PTX3 levels of RA patients were identified in Pubmed, Embase, China National Knowledge Infrastructure (CNKI), and Cochrane databases. Standardized mean difference (SMD) and corresponding 95% confidence intervals (95% CI) were calculated and further illustrated by the forest plot. Egger's regression test and sensitivity analysis were conducted to assess the publication bias and stability of the results, respectively. Twenty articles with 21 individual studies were recruited in our meta-analysis. The overall results revealed that compared to healthy controls, RA patients had significantly higher circulating PTX3 levels (pooled SMD = 0.97, 95% CI: 0.48 to 1.45). Subgroup analyses further demonstrated that compared to healthy controls, RA patients of age ≤ 50 years, 2.6 < disease activity score in 28 joints (DAS28) ≤ 3.2, 3.2 < DAS28 ≤ 5.1, DAS28 > 5.1, C-reactive protein (CRP) levels > 10 mg/L, erythrocyte sedimentation rate (ESR) > 20 mm/h, and disease duration > 5 years had significantly higher circulating PTX3 levels, respectively; whereas RA patients of age > 50 years, DAS28 ≤ 2.6, CRP levels ≤ 10 mg/L, ESR ≤ 20 mm/h and disease duration ≤ 5 years had no significantly altered circulating PTX3 levels, respectively. Additionally, no matter whether the patients were of Caucasian ethnicity or not, circulating PTX3 levels were significantly increased in RA patients. Compared to healthy controls, circulating PTX3 levels are significantly increased in RA patients, which are influenced by age, disease activity, CRP levels, ESR, and disease duration.