Li Ting, Feng Yan, Wang Chun, Shi Tian, Abudurexiti Adilai, Zhang Mengxia, Gao Feng
Department of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Department of Pathology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Front Microbiol. 2023 May 12;14:1087622. doi: 10.3389/fmicb.2023.1087622. eCollection 2023.
A growing number of studies have implicated that gut microbial abundance and metabolite concentration alterations are associated with celiac disease (CD). However, the causal relationship underlying these associations is unclear. Here, we used Mendelian randomization (MR) to reveal the causal effect of gut microbiota and metabolites on CD.
Genome-wide association study (GWAS) summary-level data for gut microbiota, metabolites, and CD were extracted from published GWASs. Causal bacterial taxa and metabolites for CD were determined by two-sample MR analyses. The robustness of the results was assessed with sensitivity analyses. Finally, reverse causality was investigated with a reverse MR analysis.
Genetically, increased genus was potentially associated with higher CD risk (odds ratio [OR] = 1.447, 95% confidence interval [CI]: 1.054-1.988, = 0.022) while phylum (OR = 0.798, 95% CI: 0.648-0.983, = 0.034) and genus (OR = 0.683, 95% CI: 0.531-0.880, = 0.003) were related to lower CD risk. Moreover, there were suggestive associations between CD and the following seven metabolites: 1-oleoylglycerophosphoethanolamine, 1-palmitoylglycerophosphoethanolamine, 1,6-anhydroglucose, phenylacetylglutamine, tryptophan betaine, 10-undecenoate, and tyrosine. Sensitivity analyses deemed the results reliable without pleiotropy.
We investigated the causal relationships between gut microbiota, metabolites, and CD with two-sample MR. Our findings suggest several novel potential therapeutic targets for CD treatment. Further understanding of the underlying mechanism may provide insights into CD pathogenesis.
越来越多的研究表明,肠道微生物丰度和代谢物浓度改变与乳糜泻(CD)有关。然而,这些关联背后的因果关系尚不清楚。在此,我们使用孟德尔随机化(MR)来揭示肠道微生物群和代谢物对CD的因果效应。
从已发表的全基因组关联研究(GWAS)中提取肠道微生物群、代谢物和CD的GWAS汇总水平数据。通过两样本MR分析确定CD的因果细菌分类群和代谢物。通过敏感性分析评估结果的稳健性。最后,用反向MR分析研究反向因果关系。
在基因层面,属水平的增加可能与较高的CD风险相关(优势比[OR]=1.447,95%置信区间[CI]:1.054-1.988,P=0.022),而门水平(OR=0.798,95%CI:0.648-0.983,P=0.034)和属水平(OR=0.683,95%CI:0.531-0.880,P=0.003)与较低的CD风险相关。此外,CD与以下七种代谢物之间存在提示性关联:1-油酰甘油磷酸乙醇胺、1-棕榈酰甘油磷酸乙醇胺、1,6-脱水葡萄糖、苯乙酰谷氨酰胺、色氨酸甜菜碱、10-十一碳烯酸和酪氨酸。敏感性分析认为结果可靠且无多效性。
我们用两样本MR研究了肠道微生物群、代谢物和CD之间的因果关系。我们的研究结果提示了几个用于CD治疗的新的潜在治疗靶点。对潜在机制的进一步了解可能为CD发病机制提供见解。