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预防医学  2024, Vol. 36 Issue (9): 801-805    DOI: 10.19485/j.cnki.issn2096-5087.2024.09.015
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肠道菌群与多囊卵巢综合征的孟德尔随机化研究
陈颖1, 刘可1, 刘彬1, 孙晓慧1, 何志兴2, 毛盈颖1, 叶丁1
1.浙江中医药大学公共卫生学院,浙江 杭州 310053;
2.浙江中医药大学,浙江 杭州 310053
Association between gut microbiota and polycystic ovary syndrome: a Mendelian randomization study
CHEN Ying1, LIU Ke1, LIU Bin1, SUN Xiaohui1, HE Zhixing2, MAO Yingying1, YE Ding1
1. School of Public Health, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China;
2. Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
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摘要 目的 采用孟德尔随机化(MR)方法探究肠道菌群与多囊卵巢综合征(PCOS)的因果关联,为PCOS发病机制研究和防治策略制定提供依据。方法 肠道菌群遗传资料来自一项涉及18 340名研究对象的全基因组关联研究(GWAS)Meta分析;PCOS遗传资料来自2项欧洲人群的GWAS Meta分析,分别作为发现集和验证集。利用发现集数据进行双向MR分析,以逆方差加权法(IVW)为主要方法;敏感性分析采用加权中位数法、MR-Egger回归法和MR-PRESSO检验;利用验证集数据验证;并采用Meta分析对2个数据集的结果进行合并。结果 正向MR分析结果显示,9种肠道菌群与PCOS存在统计学关联(均P<0.05),其中链球菌科(OR=1.442,95%CI:1.097~1.895)、放线菌属(OR=1.359,95%CI:1.036~1.784)、瘤胃球菌UCG 011(OR=0.755,95%CI:0.619~0.921)、塞利单胞菌属(OR=0.766,95%CI:0.657~0.893)、链球菌属(OR=1.496,95%CI:1.136~1.972)与PCOS的正向因果关联在敏感性分析中保持稳定。反向MR分析结果显示,上述5种肠道菌群与PCOS不存在反向因果关联(均P>0.05)。验证集的MR分析结果显示,上述5种肠道菌群与PCOS不存在统计学关联(均P>0.05)。Meta分析结果显示,放线菌属(OR=1.226,95%CI:1.010~1.503)、链球菌属(OR=1.266,95%CI:1.042~1.542)与PCOS存在统计学关联(均P<0.05)。结论 肠道菌群中的链球菌属、放线菌属与PCOS风险升高有关。
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陈颖
刘可
刘彬
孙晓慧
何志兴
毛盈颖
叶丁
关键词 多囊卵巢综合征肠道菌群链球菌放线菌孟德尔随机化    
AbstractObjective To investigate the causal relationship between gut microbiota and polycystic ovary syndrome (PCOS) using a Mendelian randomization (MR) study, so as to provide insights into the pathogenesis of PCOS and the formulation of prevention and treatment strategies. Methods The genetic data on gut microbiota was derived from a meta-analysis of genome-wide association studies (GWAS) involving 18 340 participants. The genetic data on PCOS was sourced from two GWAS meta-analyses in European populations, serving as the discovery set and the validation set, respectively. A two-sample MR analysis was conducted using the discovery set, with the inverse variance weighted (IVW) method as the primary approach. Sensitivity analyses employed the weighted median method, MR-Egger regression, and the MR-PRESSO test. The validation set was utilized for verification, and a meta-analysis was performed to combine the results from the two datasets. Results Forward MR analysis results showed that nine types of gut microbiota were statistically associated with PCOS (all P<0.05). Specifically, the association of family Streptococcaceae (OR=1.442, 95%CI: 1.097-1.895), genus Actinomyces (OR=1.359, 95%CI: 1.036-1.784), genus Ruminococcaceae UCG 011 (OR=0.755, 95%CI: 0.619-0.921), genus Sellimonas (OR=0.766, 95%CI: 0.657-0.893) and genus Streptococcus with PCOS (OR=1.496, 95%CI: 1.136-1.972) remained consistent in the sensitivity analysis. Reverse MR analysis showed no evidence for the causal association between PCOS and the aforementioned five types of gut microbiota (all P>0.05). The MR analysis results of the validation set showed that there was no statistical association between the aforementioned five types of gut microbiota and PCOS (all P>0.05). However, the associations remained significant for genus Actinomyces (OR=1.226,95%CI:1.010-1.503) and genus Streptococcus (OR=1.266,95%CI:1.042-1.452) in the meta-analysis (both P<0.05). Conclusion This study provides the evidence that genus Actinomyces and genus Streptococcus are causally associated with PCOS.
Key wordspolycystic ovary syndrome    gut microbiota    Streptococcus    Actinomyces    Mendelian randomization
收稿日期: 2024-04-22      修回日期: 2024-07-05      出版日期: 2024-09-10
中图分类号:  R711.75  
基金资助:国家自然科学基金项目(82204843,82174208)
作者简介: 陈颖,硕士研究生在读,公共卫生专业
通信作者: 叶丁,E-mail:yeding@zcmu.edu.cn   
引用本文:   
陈颖, 刘可, 刘彬, 孙晓慧, 何志兴, 毛盈颖, 叶丁. 肠道菌群与多囊卵巢综合征的孟德尔随机化研究[J]. 预防医学, 2024, 36(9): 801-805.
CHEN Ying, LIU Ke, LIU Bin, SUN Xiaohui, HE Zhixing, MAO Yingying, YE Ding. Association between gut microbiota and polycystic ovary syndrome: a Mendelian randomization study. Preventive Medicine, 2024, 36(9): 801-805.
链接本文:  
https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2024.09.015      或      https://www.zjyfyxzz.com/CN/Y2024/V36/I9/801
[1] JOHAM A E,NORMAN R J,STENER-VICTORIN E,et al.Polycystic ovary syndrome[J].Lancet Diabetes Endocrinol,2022,10(9):668-680.
[2] TREMELLEN K,PEARCE K.Dysbiosis of gut microbiota(DOGMA):a novel theory for the development of polycystic ovarian syndrome[J].Med Hypotheses,2012,79(1):104-112.
[3] GUO J B,SHAO J,YANG Y,et al.Gut microbiota in patients with polycystic ovary syndrome:a systematic review[J]. Reproductive Sci,2022,29(1):69-83.
[4] QI X Y,YUN C C,SUN L L,et al.Gut microbiota-bile acid-interleukin-22 axis orchestrates polycystic ovary syndrome[J].Nat Med,2019,25(8):1225-1233.
[5] KURILSHIKOV A,MEDINA-GOMEZ C,BACIGALUPE R,et al.Large-scale association analyses identify host factors influencing human gut microbiome composition[J].Nat Genet,2021,53(2):156-165.
[6] DAY F,KARADERI T,JONES M R,et al.Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria[J].PLoS Genet,2018,14(12):1-20.
[7] TYRMI J S,ARFFMAN R K,PUJOL-GUALDO N,et al.Leveraging northern european population history:novel low-frequency variants for polycystic ovary syndrome[J].Hum Reprod,2022,37(2):352-365.
[8] DAVIES N M,HOLMES M V,DAVEY SMITH G.Reading Mendelian randomisation studies:a guide,glossary,and checklist for clinicians[J/OL].BMJ,2018,362[2024-07-05].https://doi.org/doi: 10.1136/bmj.k601.
[9] PALMER T M,LAWLOR D A,HARBORD R M,et al.Using multiple genetic variants as instrumental variables for modifiable risk factors[J].Stat Methods Med Res,2012,21(3):223-242.
[10] BRION M J,SHAKHBAZOV K,VISSCHER P M.Calculating statistical power in Mendelian randomization studies[J].Int J Epidemiol,2013,42(5):1497-1501.
[11] GONZALEZ F,CONSIDINE R V,ABDELHADI O A,et al.Saturated fat ingestion promotes lipopolysaccharide-mediated inflammation and insulin resistance in polycystic ovary syndrome[J].J Clin Endocrinol Metab,2019,104(3):934-946.
[12] JOBIRA B,FRANK D N,PYLE L,et al.Obese adolescents with PCOS have altered biodiversity and relative abundance in gastrointestinal microbiota[J].J Clin Endocrinol Metab,2020,105(6):2134-2144.
[13] LIU R,ZHANG C H,SHI Y,et al.Dysbiosis of gut microbiota associated with clinical parameters in polycystic ovary syndrome[J].Front Microbiol,2017,8:1-12.
[14] VELEZ L M,SELDIN M,MOTTA A B.Inflammation and reproductive function in women with polycystic ovary syndromedagger[J].Biol Reprod,2021,104(6):1205-1217.
[15] ABRAHAM GNANADASS S,DIVAKAR PRABHU Y,VALSALA GOPALAKRISHNAN A.Association of metabolic and inflammatory markers with polycystic ovarian syndrome(PCOS):an update[J].Arch Gynecol Obstet,2021,303(3):631-643.
[16] RACHON D,TEEDE H.Ovarian function and obesity-interrelationship,impact on women's reproductive lifespan and treatment options[J].Mol Cell Endocrinol,2010,316(2):172-179.
[17] DEL CHIERICO F,ABBATINI F,RUSSO A,et al.Gut microbiota markers in obese adolescent and adult patients:age-dependent differential patterns[J].Front Microbiol,2018,9:1-12.
[18] XIE J,LI L F,DAI T Y,et al.Short-chain fatty acids produced by ruminococcaceae mediate alpha-linolenic acid promote intestinal stem cells proliferation[J/OL].Mol Nutr Food Res,2022,66[2024-07-05]. https://doi.org/10.1002/mnfr.202100408.
[19] SALEHI S,ALLAHVERDY J,POURJAFAR H,et al.Gut microbiota and polycystic ovary syndrome(PCOS):understanding the pathogenesis and the role of probiotics as a therapeutic strategy[J/OL].Probiotics Antimicrob Proteins,2024[2024-07-05]. https://doi.org/10.1007/s12602-024-10223-5.
[20] MUNOZ M,GUERRERO-ARAYA E,CORTES-TAPIA C,et al.Comprehensive genome analyses of Sellimonas intestinalis,a potential biomarker of homeostasis gut recovery[J].Microb Genom,2020,6(12):1-11.
[21] SEO B,YOO J E,LEE Y M,et al.Sellimonas intestinalis gen.nov.,sp.nov.,isolated from human faeces[J].Int J Syst Evol Microbiol,2016,66(2):951-956.
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