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肠道微生物群与妇科肿瘤之间的因果关系:一项两样本孟德尔随机化研究。

Causal relationship between gut microbiota and gynecological tumor: a two-sample Mendelian randomization study.

作者信息

Xiong Yajun, Zhang Xiaonan, Niu Xiaoya, Zhang Long, Sheng Yanbing, Xu Aiguo

机构信息

Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

出版信息

Front Microbiol. 2024 Aug 7;15:1417904. doi: 10.3389/fmicb.2024.1417904. eCollection 2024.

Abstract

INTRODUCTION

Previous research has established associations between alterations in gut microbiota composition and various gynecologic tumors. However, establishing a causal relationship between gut microbiota and these tumors remains necessary. This study employs a two-sample Mendelian randomization (MR) approach to investigate causality, aiming to identify pathogenic bacterial communities potentially involved in gynecologic tumor development.

METHODS

Data from the MiBioGen consortium's Genome-Wide Association Study (GWAS) on gut microbiota were used as the exposure variable. Four common gynecologic neoplasms, including uterine fibroids (UF), endometrial cancer (EC), ovarian cancer (OC), and cervical cancer (CC), were selected as outcome variables. Single-nucleotide polymorphisms (SNPs) significantly associated with gut microbiota were chosen as instrumental variables (IVs). The inverse variance-weighted (IVW) method was used as the primary MR analysis to assess the causal relationship. External validation An was conducted using an independent. Sensitivity analyses were performed to ensure robustness. Reverse MR analysis was also conducted to assess potential reverse causation.

RESULTS

Combining discovery and validation cohorts, we found that higher relative abundance of Lachnospiraceae is associated with lower UF risk (OR: 0.882, 95% CI: 0.793-0.982, P = 0.022). Conversely, higher OC incidence is associated with increased relative abundance of Lachnospiraceae (OR: 1.329, 95% CI: 1.019-1.732, P = 0.036). Sensitivity analyses confirmed these findings' reliability. Reverse MR analysis showed no evidence of reverse causation between UF, OC, and Lachnospiraceae.

DISCUSSION

This study establishes a causal relationship between Lachnospiraceae relative abundance and both UF and OC. These findings provide new insights into the potential role of gut microbiota in mechanisms underlying gynecological tumors development.

摘要

引言

先前的研究已证实肠道微生物群组成的改变与各种妇科肿瘤之间存在关联。然而,确定肠道微生物群与这些肿瘤之间的因果关系仍然很有必要。本研究采用两样本孟德尔随机化(MR)方法来研究因果关系,旨在识别可能参与妇科肿瘤发生发展的致病细菌群落。

方法

来自MiBioGen联盟关于肠道微生物群的全基因组关联研究(GWAS)的数据用作暴露变量。选择四种常见的妇科肿瘤,包括子宫肌瘤(UF)、子宫内膜癌(EC)、卵巢癌(OC)和宫颈癌(CC)作为结局变量。选择与肠道微生物群显著相关的单核苷酸多态性(SNP)作为工具变量(IV)。采用逆方差加权(IVW)方法作为主要的MR分析来评估因果关系。使用独立样本进行外部验证。进行敏感性分析以确保结果的稳健性。还进行了反向MR分析以评估潜在的反向因果关系。

结果

结合发现队列和验证队列,我们发现毛螺菌科相对丰度较高与较低的UF风险相关(OR:0.882,95%CI:0.793 - 0.982,P = 0.022)。相反,较高的OC发病率与毛螺菌科相对丰度增加相关(OR:1.329,95%CI:1.019 - 1.732,P = 0.036)。敏感性分析证实了这些发现的可靠性。反向MR分析显示UF、OC和毛螺菌科之间没有反向因果关系的证据。

讨论

本研究建立了毛螺菌科相对丰度与UF和OC之间的因果关系。这些发现为肠道微生物群在妇科肿瘤发生机制中的潜在作用提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3e6/11339882/f93d654a95b5/fmicb-15-1417904-g001.jpg

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