{"title":"26种肌肉骨骼疾病与肠道微生物群之间的因果关系:一项具有贝叶斯验证的孟德尔随机分析。","authors":"Yunhao Wang, Yingze Sun, Hongxing Liao","doi":"10.1007/s11274-025-04318-6","DOIUrl":null,"url":null,"abstract":"<p><p>Emerging evidence suggests that gut microbiota imbalances may influence the onset of musculoskeletal disorders (MSDs), yet conclusive evidence establishing causation remains limited. This study investigates the causal relationship between gut microbiota and a range of MSDs, aiming to identify potential therapeutic targets. Using data on 211 gut microbiome taxa from a genome-wide association study (GWAS) and summary statistics for 26 MSDs from the Finnish Biobank, we employed Mendelian randomization (MR) with inverse-variance weighting (IVW) as the primary analytical approach, complemented by Bayesian model validation to ensure robust results. Our MR analyses revealed significant causal associations between gut microbiota and nine MSDs within four categories, including osteoporosis (IVW-Beta = 0.011, P = 0.025), rheumatoid arthritis (IVW-Beta = - 0.016, P < 0.001), rotator cuff syndrome (IVW-Beta = - 0.007, P = 0.022), and calcific tendonitis of the shoulder (IVW-Beta = - 0.021, P = 0.034). Bayesian validation underscored the plausibility of these relationships, supporting the potential causal role of gut microbiota in the development of these disorders. Our findings present a library of causal associations that underscore the gut microbiome's role in MSD pathogenesis, providing genetic evidence that highlights specific gut microbiota taxa as prospective therapeutic targets. This research offers novel insights into the pathogenic mechanisms underlying MSDs and points toward new directions for future investigation into microbiome-based therapies.</p>","PeriodicalId":23703,"journal":{"name":"World journal of microbiology & biotechnology","volume":"41 3","pages":"106"},"PeriodicalIF":4.0000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906543/pdf/","citationCount":"0","resultStr":"{\"title\":\"Causal associations between 26 musculoskeletal disorders and gut microbiota: a Mendelian randomization analysis with Bayesian validation.\",\"authors\":\"Yunhao Wang, Yingze Sun, Hongxing Liao\",\"doi\":\"10.1007/s11274-025-04318-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Emerging evidence suggests that gut microbiota imbalances may influence the onset of musculoskeletal disorders (MSDs), yet conclusive evidence establishing causation remains limited. This study investigates the causal relationship between gut microbiota and a range of MSDs, aiming to identify potential therapeutic targets. Using data on 211 gut microbiome taxa from a genome-wide association study (GWAS) and summary statistics for 26 MSDs from the Finnish Biobank, we employed Mendelian randomization (MR) with inverse-variance weighting (IVW) as the primary analytical approach, complemented by Bayesian model validation to ensure robust results. Our MR analyses revealed significant causal associations between gut microbiota and nine MSDs within four categories, including osteoporosis (IVW-Beta = 0.011, P = 0.025), rheumatoid arthritis (IVW-Beta = - 0.016, P < 0.001), rotator cuff syndrome (IVW-Beta = - 0.007, P = 0.022), and calcific tendonitis of the shoulder (IVW-Beta = - 0.021, P = 0.034). Bayesian validation underscored the plausibility of these relationships, supporting the potential causal role of gut microbiota in the development of these disorders. Our findings present a library of causal associations that underscore the gut microbiome's role in MSD pathogenesis, providing genetic evidence that highlights specific gut microbiota taxa as prospective therapeutic targets. This research offers novel insights into the pathogenic mechanisms underlying MSDs and points toward new directions for future investigation into microbiome-based therapies.</p>\",\"PeriodicalId\":23703,\"journal\":{\"name\":\"World journal of microbiology & biotechnology\",\"volume\":\"41 3\",\"pages\":\"106\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906543/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World journal of microbiology & biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s11274-025-04318-6\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World journal of microbiology & biotechnology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s11274-025-04318-6","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
新出现的证据表明,肠道微生物群失衡可能影响肌肉骨骼疾病(MSDs)的发病,但确定因果关系的确凿证据仍然有限。本研究探讨了肠道微生物群与一系列MSDs之间的因果关系,旨在确定潜在的治疗靶点。利用来自全基因组关联研究(GWAS)的211个肠道微生物类群数据和来自芬兰生物银行(Finnish Biobank)的26个MSDs的汇总统计数据,我们采用孟德尔随机化(MR)和反方差加权(IVW)作为主要分析方法,辅以贝叶斯模型验证,以确保结果的稳健性。我们的MR分析显示,肠道微生物群与骨质疏松症(IVW-Beta = 0.011, P = 0.025)、类风湿关节炎(IVW-Beta = - 0.016, P = 0.025)等4类9种msd之间存在显著的因果关系
Causal associations between 26 musculoskeletal disorders and gut microbiota: a Mendelian randomization analysis with Bayesian validation.
Emerging evidence suggests that gut microbiota imbalances may influence the onset of musculoskeletal disorders (MSDs), yet conclusive evidence establishing causation remains limited. This study investigates the causal relationship between gut microbiota and a range of MSDs, aiming to identify potential therapeutic targets. Using data on 211 gut microbiome taxa from a genome-wide association study (GWAS) and summary statistics for 26 MSDs from the Finnish Biobank, we employed Mendelian randomization (MR) with inverse-variance weighting (IVW) as the primary analytical approach, complemented by Bayesian model validation to ensure robust results. Our MR analyses revealed significant causal associations between gut microbiota and nine MSDs within four categories, including osteoporosis (IVW-Beta = 0.011, P = 0.025), rheumatoid arthritis (IVW-Beta = - 0.016, P < 0.001), rotator cuff syndrome (IVW-Beta = - 0.007, P = 0.022), and calcific tendonitis of the shoulder (IVW-Beta = - 0.021, P = 0.034). Bayesian validation underscored the plausibility of these relationships, supporting the potential causal role of gut microbiota in the development of these disorders. Our findings present a library of causal associations that underscore the gut microbiome's role in MSD pathogenesis, providing genetic evidence that highlights specific gut microbiota taxa as prospective therapeutic targets. This research offers novel insights into the pathogenic mechanisms underlying MSDs and points toward new directions for future investigation into microbiome-based therapies.
期刊介绍:
World Journal of Microbiology and Biotechnology publishes research papers and review articles on all aspects of Microbiology and Microbial Biotechnology.
Since its foundation, the Journal has provided a forum for research work directed toward finding microbiological and biotechnological solutions to global problems. As many of these problems, including crop productivity, public health and waste management, have major impacts in the developing world, the Journal especially reports on advances for and from developing regions.
Some topics are not within the scope of the Journal. Please do not submit your manuscript if it falls into one of the following categories:
· Virology
· Simple isolation of microbes from local sources
· Simple descriptions of an environment or reports on a procedure
· Veterinary, agricultural and clinical topics in which the main focus is not on a microorganism
· Data reporting on host response to microbes
· Optimization of a procedure
· Description of the biological effects of not fully identified compounds or undefined extracts of natural origin
· Data on not fully purified enzymes or procedures in which they are applied
All articles published in the Journal are independently refereed.