Xiao-Huan Chen, Lei Liu, L. Liao, Yahui Wang, Jiachen Shi, Hanyou Mo
{"title":"活动性系统性红斑狼疮患者的调节性B细胞:系统综述和荟萃分析","authors":"Xiao-Huan Chen, Lei Liu, L. Liao, Yahui Wang, Jiachen Shi, Hanyou Mo","doi":"10.30564/JHP.V2I1.1594","DOIUrl":null,"url":null,"abstract":"Background: The study of regulatory B cells (Bregs) in systemic lupus erythematosus (SLE) has been in full swing in recent years, but the number and function of Bregs in SLE patients have also present quite contradictory results. Therefore, we conducted a meta-analysis to verify the changes in Bregs in active SLE. Methods: We identified studies reporting the proportions of Bregs in SLE patients by searching Pubmed, Embase, Web of Science, Cochrane and CNKI. Due to the degree of heterogeneity is very high, we used a random effects model to assess the mean differences in percentages of Bregs between active SLE and controls. Then, sensitivity analysis and subgroup analysis were performed to verify potential sources of heterogeneity. Results: Seven eligible articles involving 301 active SLE patients and 218 controls were included in the meta-analysis. The pooled percentages of Bregs were found no significant difference between active SLE patients and healthy controls [0.259, (−1.150, 1.668), p = 0.719], with great heterogeneity ( I2 = 97.5%) . The result of sensitivity analysis showed that exclusion of any single study or single article did not materially resolve the heterogeneity, but after excluding the article conducted by Cai X and his colleagues, the percentages of Bregs were significantly higher in active SLE than those in controls [1.394, (0.114,2.675), p = 0.033]. The results of subgroup analysis revealed that when the disease activity was judged by SLEDAI score ≥ 5, the percentages of Bregs were significantly lower in the SLE groups than in the control groups[-1.99,(-3.241,-0.739), p = 0.002], but when the threshold of SLEDAI score ≥ 6 chosen for active SLE, the percentages of Bregs were significantly increased in the SLE groups[2.546,(1.333,3.759), p < 0.001]. Meanwhile, other subgroup analysis based on the different phenotypes of Bregs, diagnostic criteria, enrolled research countries, treatment status, and organ involvement did not differ in proportion of Bregs between SLE patients and controls. Conclusions: The study implies that Bregs may play a role in the pathogenesis of active SLE, and the thresholds of SLEDAI score to distinguish between active and inactive SLE patients are important factors affecting the percentages of Bregs.","PeriodicalId":69096,"journal":{"name":"人体生理学杂志(英文)","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Regulatory B Cell in Active Systemic Lupus Erythematosus Patients: A Systemic Review and Meta-analysis\",\"authors\":\"Xiao-Huan Chen, Lei Liu, L. Liao, Yahui Wang, Jiachen Shi, Hanyou Mo\",\"doi\":\"10.30564/JHP.V2I1.1594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: The study of regulatory B cells (Bregs) in systemic lupus erythematosus (SLE) has been in full swing in recent years, but the number and function of Bregs in SLE patients have also present quite contradictory results. Therefore, we conducted a meta-analysis to verify the changes in Bregs in active SLE. Methods: We identified studies reporting the proportions of Bregs in SLE patients by searching Pubmed, Embase, Web of Science, Cochrane and CNKI. Due to the degree of heterogeneity is very high, we used a random effects model to assess the mean differences in percentages of Bregs between active SLE and controls. Then, sensitivity analysis and subgroup analysis were performed to verify potential sources of heterogeneity. Results: Seven eligible articles involving 301 active SLE patients and 218 controls were included in the meta-analysis. The pooled percentages of Bregs were found no significant difference between active SLE patients and healthy controls [0.259, (−1.150, 1.668), p = 0.719], with great heterogeneity ( I2 = 97.5%) . The result of sensitivity analysis showed that exclusion of any single study or single article did not materially resolve the heterogeneity, but after excluding the article conducted by Cai X and his colleagues, the percentages of Bregs were significantly higher in active SLE than those in controls [1.394, (0.114,2.675), p = 0.033]. The results of subgroup analysis revealed that when the disease activity was judged by SLEDAI score ≥ 5, the percentages of Bregs were significantly lower in the SLE groups than in the control groups[-1.99,(-3.241,-0.739), p = 0.002], but when the threshold of SLEDAI score ≥ 6 chosen for active SLE, the percentages of Bregs were significantly increased in the SLE groups[2.546,(1.333,3.759), p < 0.001]. Meanwhile, other subgroup analysis based on the different phenotypes of Bregs, diagnostic criteria, enrolled research countries, treatment status, and organ involvement did not differ in proportion of Bregs between SLE patients and controls. 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引用次数: 0
摘要
背景:调节性B细胞(Bregs)在系统性红斑狼疮(SLE)中的研究近年来如火如荼,但Bregs在SLE患者中的数量和功能也出现了相当矛盾的结果。因此,我们进行了一项荟萃分析,以验证活动期SLE患者Bregs的变化。方法:我们通过检索Pubmed、Embase、Web of Science、Cochrane和CNKI来确定报告SLE患者Bregs比例的研究。由于异质性程度非常高,我们使用随机效应模型来评估活动期SLE和对照组之间Bregs百分比的平均差异。然后,进行敏感性分析和亚组分析,以验证异质性的潜在来源。结果:纳入荟萃分析的7篇符合条件的文章涉及301名活动期SLE患者和218名对照者。Bregs的合并百分比在活动期SLE患者和健康对照组之间没有发现显著差异[0.259,(-1.150,1.668),p=0.719],具有很大的异质性(I2=97.5%)。敏感性分析结果表明,排除任何单一研究或单一文章并不能实质性地解决异质性,但排除Cai X及其同事的文章后,活动期SLE的Bregs百分比显著高于对照组[1.394,(0.114,2.675),p=0.033]。亚组分析结果表明,当SLEDAI评分≥5时,SLE组的Bregs百分比显著低于对照组[-1.99,(-3.241,-0.739),p=0.002],但当活动性SLE选择SLEDAI评分阈值≥6时,SLE组的Brens百分比显著增加[2.546,(1.333,3.759),p<0.001]。同时,基于Bregs不同表型的其他亚组分析,SLE患者和对照组之间的诊断标准、入选研究国家、治疗状态和器官受累的Bregs比例没有差异。结论:Bregs可能在活动期SLE的发病机制中发挥作用,区分活动期和非活动期SLE患者的SLEDAI评分阈值是影响Bregs发病率的重要因素。
The Regulatory B Cell in Active Systemic Lupus Erythematosus Patients: A Systemic Review and Meta-analysis
Background: The study of regulatory B cells (Bregs) in systemic lupus erythematosus (SLE) has been in full swing in recent years, but the number and function of Bregs in SLE patients have also present quite contradictory results. Therefore, we conducted a meta-analysis to verify the changes in Bregs in active SLE. Methods: We identified studies reporting the proportions of Bregs in SLE patients by searching Pubmed, Embase, Web of Science, Cochrane and CNKI. Due to the degree of heterogeneity is very high, we used a random effects model to assess the mean differences in percentages of Bregs between active SLE and controls. Then, sensitivity analysis and subgroup analysis were performed to verify potential sources of heterogeneity. Results: Seven eligible articles involving 301 active SLE patients and 218 controls were included in the meta-analysis. The pooled percentages of Bregs were found no significant difference between active SLE patients and healthy controls [0.259, (−1.150, 1.668), p = 0.719], with great heterogeneity ( I2 = 97.5%) . The result of sensitivity analysis showed that exclusion of any single study or single article did not materially resolve the heterogeneity, but after excluding the article conducted by Cai X and his colleagues, the percentages of Bregs were significantly higher in active SLE than those in controls [1.394, (0.114,2.675), p = 0.033]. The results of subgroup analysis revealed that when the disease activity was judged by SLEDAI score ≥ 5, the percentages of Bregs were significantly lower in the SLE groups than in the control groups[-1.99,(-3.241,-0.739), p = 0.002], but when the threshold of SLEDAI score ≥ 6 chosen for active SLE, the percentages of Bregs were significantly increased in the SLE groups[2.546,(1.333,3.759), p < 0.001]. Meanwhile, other subgroup analysis based on the different phenotypes of Bregs, diagnostic criteria, enrolled research countries, treatment status, and organ involvement did not differ in proportion of Bregs between SLE patients and controls. Conclusions: The study implies that Bregs may play a role in the pathogenesis of active SLE, and the thresholds of SLEDAI score to distinguish between active and inactive SLE patients are important factors affecting the percentages of Bregs.