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基于16S rRNA基因测序技术揭示骨质疏松症患者肠道菌群的改变:一项系统评价和荟萃分析(英文)

Changes in the gut microbiota of osteoporosis patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis

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【作者】 黄瑞; 刘槃; 白亦光; 黄洁琼; 潘瑞; 李惠华; 粟叶萍; 周佺; 马瑞鑫; 宗少晖; 曾高峰;

【Author】 Rui HUANG;Pan LIU;Yiguang BAI;Jieqiong HUANG;Rui PAN;Huihua LI;Yeping SU;Quan ZHOU;Ruixin MA;Shaohui ZONG;Gaofeng ZENG;College of Public Hygiene of Guangxi Medical University;Department of Spine Osteopathic, the First Affiliated Hospital of Guangxi Medical University;Department of Orthopaedics, the Third Affiliated Hospital of Xinxiang Medical University;Department of Orthopaedics, Nanchong Central Hospital, the Second Clinical Institute of North Sichuan Medical College;Department of Wound Repair, the First People’s Hospital of Nanning;

【通讯作者】 宗少晖;曾高峰;

【机构】 广西医科大学公共卫生学院; 广西医科大学第一附属医院脊柱骨科; 新乡医学院第三附属医院骨科; 川北医学院第二临床医学院南充市中心医院骨科; 广西南宁市第一人民医院创面修复科;

【摘要】 骨质疏松症(osteoporosis,OP)已成为严重威胁全球中老年人骨健康的重大公共卫生问题。肠道菌群(gut microbiota,GM)的改变与维持骨量和骨质量有关。然而,相关研究结果仍存在很大争议,目前尚没有研究对肠道菌群和骨质疏松间关系进行过系统评价和荟萃分析。本研究通过对骨质疏松症患者和健康人群之间肠道菌群差异的既往16S rRNA基因测序结果进行系统评价和荟萃分析,以期为未来个体化预防和治疗骨质疏松症提供新的临床参考。这项观察性的荟萃分析显示,肠道菌群的改变与骨质疏松症之间存在关联,并且一些优势菌群的变化可能存在地域差异。

【Abstract】 Background: Osteoporosis(OP) has become a major public health issue, threatening the bone health of middle-aged and elderly people from all around the world. Changes in the gut microbiota(GM) are correlated with the maintenance of bone mass and bone quality. However, research results in this field remain highly controversial, and no systematic review or meta-analysis of the relationship between GM and OP has been conducted. This paper addresses this shortcoming, focusing on the difference in the GM abundance between OP patients and healthy controls based on previous 16S ribosomal RNA(rRNA) gene sequencing results, in order to provide new clinical reference information for future customized prevention and treatment options of OP.Methods: According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA), we comprehensively searched the databases of Pub Med, Web of Science, Embase, Cochrane Library, and China National Knowledge Infrastructure(CNKI). In addition, we applied the R programming language version 4.0.3 and Stata 15.1 software for data analysis. We also implemented the Newcastle-Ottawa Scale(NOS), funnel plot analysis, sensitivity analysis, Egger’s test, and Begg’s test to assess the risk of bias. Results: This research ultimately considered 12 studies, which included the fecal GM data of 2033 people(604 with OP and 1429 healthy controls). In the included research papers, it was observed that the relative abundance of Lactobacillus and Ruminococcus increased in the OP group, while the relative abundance for Bacteroides of Bacteroidetes increased(except for Ireland). Meanwhile, Firmicutes, Blautia, Alistipes, Megamonas, and Anaerostipes showed reduced relative abundance in Chinese studies. In the linear discriminant analysis Effect Size(LEfSe) analysis, certain bacteria showed statistically significant results consistently across different studies. Conclusions: This observational meta-analysis revealed that changes in the GM were correlated with OP, and variations in some advantageous GM might involve regional differences.

【基金】 supported by the National Natural Science Foundation of China (No. 81860391);the Guangxi Medical High-level Backbone Talents Training “139” Program Training Project (No. [2020]15);the Guangxi Hundred Thousand Talents Project (No. [2019]32), China
  • 【文献出处】 Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) ,浙江大学学报B辑(生物医学与生物技术)(英文版) , 编辑部邮箱 ,2022年12期
  • 【分类号】R580
  • 【下载频次】59
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