吉林大学学报(医学版) ›› 2024, Vol. 50 ›› Issue (5): 1381-1389.doi: 10.13481/j.1671-587X.20240523

• 临床研究 • 上一篇    

基于肠道菌群与妊娠期糖尿病因果关联的孟德尔随机化分析

刘志飞1,毕亚茹2,孙成林2,3(),田肃岩1   

  1. 1.吉林大学第一医院临床研究部,吉林 长春 130021
    2.吉林大学第一医院内分泌代谢科,吉林 长春 130021
    3.吉林大学第一医院临床营养科,吉林 长春 130021
  • 收稿日期:2023-11-27 出版日期:2024-09-28 发布日期:2024-10-28
  • 通讯作者: 孙成林 E-mail:clsun213@163.com
  • 作者简介:刘志飞(1999-),男,江西省吉安市人,在读硕士研究生,主要从事糖尿病和营养方面的研究。
  • 基金资助:
    吉林省科技厅自然科学基金项目(YDZJ202201ZYTS121);吉林省卫健委科技能力提升计划项目(2023LC008)

Mendelian randomization analysis based on causal relationship between gut microbiota and gestational diabetes mellitus

Zhifei LIU1,Yaru BI2,Chenglin SUN2,3(),Suyan TIAN1   

  1. 1.Department of Clinical Research, First Hospital, Jilin University, Changchun 130021, China
    2.Department of Endocrinology and Metabolism, First Hospital, Jilin University, Changchun 130021, China
    3.Department of Clinical Nutrition, First Hospital, Jilin University, Changchun 130021, China
  • Received:2023-11-27 Online:2024-09-28 Published:2024-10-28
  • Contact: Chenglin SUN E-mail:clsun213@163.com

摘要:

目的 探讨肠道菌群与妊娠期糖尿病发病风险之间的因果关联,阐明及其作用机制。 方法 采用肠道菌群和妊娠期糖尿病的全基因组关联研究(GWAS)汇总数据进行两样本孟德尔随机化(MR)研究。肠道菌群数据来自MiBioGen 联盟的一项GWAS,妊娠期糖尿病数据来自FinnGen 联盟R8公开数据。采用逆方差加权(IVW)法分析肠道菌群和妊娠期糖尿病之间的因果关联,采用加权中值法和MR Egger法进行敏感性分析,采用Cochran`s Q检验、MR-PRESSO、Egger截距检验和留一法检验异质性和多效性,采用多变量MR校正体质量指数(BMI)的影响,采用反向MR检测是否存在反向因果关联,采用基因本体论(GO)功能富集分析和京都基因与基因组百科全书(KEGG)信号通路富集分析肠道菌群影响妊娠期糖尿病的可能通路。 结果 4种肠道菌群与妊娠期糖尿病存在因果关联,其中甲烷短杆菌属和广古菌门与妊娠期糖尿病发病风险呈负向因果关联,龈乳杆菌属和拉克氏梭状芽孢杆菌属与妊娠期糖尿病发病风险呈正向因果关联;未检测到显著异质性和水平多效性。反向MR分析未发现显著反向因果关联。在校正BMI后进行多变量MR分析,龈乳杆菌属和广古菌门与妊娠期糖尿病风险之间有因果关联。GO功能富集分析和KEGG信号通路富集分析显示轴突发育、昼夜节律和胰岛素分泌等通路显著富集。 结论 4种肠道菌群与妊娠期糖尿病风险之间存在因果关联,在校正BMI后广古菌门和龈乳杆菌属仍与妊娠期糖尿病发病风险存在因果关联。

关键词: 妊娠期糖尿病, 肠道菌群, 孟德尔随机化, 富集分析, 因果关联

Abstract:

Objective To analyze the causal relationship between gut microbiota and gestational diabetes, and to clarify its mechanism. Methods Two-sample Mendelian randomization(MR) analysis was conducted by using summary data from genome-wide association study (GWAS) for gut microbiota and gestational diabetes. The GWAS data of gut microbiota were obtained from a GWAS study from the MiBioGen consortium; the GWAS data on gestational diabetes were sourced from the FinnGen consortium’s publicly available R8 dataset;inverse variance weighted (IVW) method was used as the primary method to detect the causal association between the gut microbiota and the gestational diabetes. Sensitivity analysis was performed by Weighted Median and MR Egger methods; heterogeneity and pleiotropy were detected by Cochran’s Q, MR-PRESSO, Egger intercept tests and Leave-One-Out analysis; multivariable MR was used to adjust for the effect of body mass index (BMI); reverse MR was used to explore the presence of reverse causal associations; Gene Ontology (GO) fuctional and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling enrichment analyses were used to explore the potential pathways through which gut microbiota may have impact on gestational diabetes. Results Four gut microbes were found to be causally associated with gestational diabetes: the genus Methanobrevibacter and the phylum Euryarchaeota displayed negative causal relationships with the risk of gestational diabetes, while the genus Olsenella and genus Lachnoclostridium exhibited positive causal associations. No significant heterogeneity or horizontal pleiotropy was detected in the analysis.The reverse MR analysis did not reveal any causal relationship. After adjusting for BMI, the multivariable MR analysis results showed there were the causal associations between the genus Olsenella and the phylum Euryarchaeota with the risk of gestational diabetes.The GO fuctional and KEGG signaling pathway enrichment analyses results showed that axon development, axon production, insulin secretion and other pathways were significantly enriched. Conclusion There are causal associations between four gut microbes and gestational diabetes. Among them, the significant correlations with gestational diabetes are still observed in phylum Euryarchaeota and genus Olsenella after adjusting for BMI.

Key words: Gestational diabetes, Gut microbiota, Mendelian randomization, Enrichment analysis, Causal association

中图分类号: 

  • R587.1