Li Zuming, Xia Qinghua, Feng Jieni, Chen Xueru, Wang Yushi, Ren Xiaolei, Wu Siyi, Yang Rongyuan, Li Jiqiang, Liu Yuntao, Lu Yue, Chen Jiankun
The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qingyuan Hospital of Traditional Chinese Medicine, Qingyuan, China.
Front Microbiol. 2024 May 30;15:1404673. doi: 10.3389/fmicb.2024.1404673. eCollection 2024.
Long COVID is a major challenge facing the public. Gut microbiota is closely related to Long COVID. However, the causal effects between gut microbiota and Long COVID remains unclear.
Using summary statistics from Genome-Wide Association Studies (GWAS), Mendelian randomization (MR) analyses were performed to investigate the relationship between gut microbiota and Long COVID. The primary statistical method employed was Inverse Variance Weighted (IVW). Sensitivity analyses were then conducted to evaluate the reliability of the findings and account for potential confounding variables. Finally, a reverse MR analysis was conducted to examine potential associations between Long COVID and genetically predicted gut microbiota compositions.
There were 2 positive and 1 negative causal effect between gut microbiota and Long COVID. Meta-analysis results show that genus (OR = 1.145, 95%CI = 1.035 ∼ 1.266, = 0.008) and genus (OR = 1.425, 95%CI = 1.235 ∼ 1.645, < 0.001) significantly increased the risk of Long COVID. And genus (OR = 0.861, 95%CI = 0.785 ∼ 0.943, = 0.001) significantly decreased the risk of Long COVID. Neither the pleiotropy nor the heterogeneity was observed. Reverse causal effect does not hold.
Our research has provided genetic evidence that establishes multiple causal relationships between the gut microbiota and Long COVID, supporting the role of the gut microbiota in Long COVID. It is possible that different taxa play a role in the development of Long COVID. The causal relationships identified in this study require further investigation.
新冠后遗症是公众面临的一项重大挑战。肠道微生物群与新冠后遗症密切相关。然而,肠道微生物群与新冠后遗症之间的因果关系仍不明确。
利用全基因组关联研究(GWAS)的汇总统计数据,进行孟德尔随机化(MR)分析,以研究肠道微生物群与新冠后遗症之间的关系。采用的主要统计方法是逆方差加权(IVW)。随后进行敏感性分析,以评估研究结果的可靠性并考虑潜在的混杂变量。最后,进行反向MR分析,以检验新冠后遗症与基因预测的肠道微生物群组成之间的潜在关联。
肠道微生物群与新冠后遗症之间存在2个正向和1个负向因果效应。荟萃分析结果显示,属(比值比=1.145,95%置信区间=1.035~1.266,P=0.008)和属(比值比=1.425,95%置信区间=1.235~1.645,P<0.001)显著增加了新冠后遗症的风险。而属(比值比=0.861,95%置信区间=0.785~0.943,P=0.001)显著降低了新冠后遗症的风险。未观察到多效性和异质性。反向因果效应不成立。
我们的研究提供了基因证据,确立了肠道微生物群与新冠后遗症之间的多种因果关系,支持肠道微生物群在新冠后遗症中的作用。不同的分类群可能在新冠后遗症的发展中起作用。本研究确定的因果关系需要进一步研究。