Serum levels of Galectin-1 and Galectin-3 for monitoring rheumatoid arthritis severity: a meta-analysis

血清半乳糖凝集素-1和半乳糖凝集素-3水平在监测类风湿性关节炎严重程度中的应用:一项荟萃分析

阅读:1

Abstract

BACKGROUND: Galectin-1 (Gal-1) and galectin-3 (Gal-3) have emerged as promising biomarkers for diagnosing and managing rheumatoid arthritis (RA). This study aims to synthesize current evidence through a systematic review and meta-analysis to evaluate the clinical effectiveness of serum Gal-1 and Gal-3 as biomarkers for monitoring disease severity and predicting clinical outcomes in RA patients. METHODS: We conducted a comprehensive literature search in PubMed, Web of Science, and the Cochrane Library, including studies published up to March 2024. Eleven observational studies were selected based on predefined inclusion criteria. The risk of bias in these studies was assessed using the Cochrane Handbook for Systematic Reviews of Interventions. Data synthesis and meta-analysis were performed using RevMan 5.3 software, with the study protocol registered at INPLASY (ID: 202460103). RESULTS: The meta-analysis included 1213 participants (comprising 809 RA patients and 404 healthy controls) from 11 studies. Serum levels of Gal-1 and Gal-3 were significantly higher in RA patients compared to controls (MD=25.09 ng/ml, 95% CI: 24.18-26.00 ng/ml, P<0.00001; MD=30.51 ng/ml, 95% CI: 29.10-31.93 ng/ml, P<0.00001). Moreover, Gal-1 levels exhibited a positive correlation with RA disease activity markers, such as the Erythrocyte Sedimentation Rate (ESR) and the Disease Activity Score 28 (DAS28). The analysis demonstrated a correlation coefficient of r=0.24 (95% CI: 0.14-0.33, P<0.00001) between Gal-1 and RA disease activity, highlighting a notable association. Similarly, Gal-3 showed significant positive correlations with ESR (r=0.29, 95% CI: 0.18-0.40, P<0.00001), DAS28 (r=0.25, 95% CI: 0.13-0.37, P<0.00001), and C-reactive protein (CRP) (r=0.15, 95% CI: 0.05-0.26, P<0.00001). The overall correlation between circulating Gal-3 levels and RA disease severity indices was r=0.23 (95% CI: 0.16-0.29, P<0.00001). CONCLUSION: Gal-1 demonstrates significant potential as a biomarker for diagnosing and managing RA. Monitoring Gal-1 and Gal-3 levels may provide valuable insights into early disease assessment and progression, potentially improving treatment outcomes for RA patients.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。