Identifying the Involvement of Gut Microbiota in Retinal Vein Occlusion by Mendelian Randomization and Genetic Correlation Analysis.

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY Translational Vision Science & Technology Pub Date : 2025-01-02 DOI:10.1167/tvst.14.1.5
Shizhen Lei, Yani Liu
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Abstract

Purpose: Previous researches have suggested an important association between gut microbiota (GM) and vascular pathologies such as atherosclerosis. This study aimed to explore the association between 196 GM taxa and retinal vein occlusion (RVO).

Methods: This study used Mendelian randomization (MR), linkage disequilibrium score regression (LDSC), and polygenic overlap analysis. Genome-wide association study (GWAS) data associated with 196 GM taxa was obtained from the MiBioGen consortium, involving a large number of European-ancestry participants. GWAS data of RVO was obtained from the FinnGen consortium and another study that also involved European-ancestry participants. Inverse-variance weighted was used as the primary approach for MR estimation. Moreover, LDSC and polygenic overlap analyses were performed to evaluate the genetic correlation between GM taxa and RVO.

Results: The MR results identified the association of six GM taxa, including class Bacilli, order Lactobacillales, family Streptococcaceae, genus Clostridium innocuum group, genus Family XIII AD3011 group, and genus Subdoligranulum with the development of RVO. In addition, the polygenic overlap analysis supported the genetic association between GM and RVO.

Conclusions: Our findings confirmed the association between six GM taxa and the development of RVO, thereby highlighting the effects of GM on retinal vascular health.

Translational relevance: The results may provide the rationale for developing GM-based strategies for preventing the onset of RVO.

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通过孟德尔随机化和遗传相关分析确定肠道微生物群在视网膜静脉闭塞中的作用。
目的:以往的研究表明,肠道微生物群(GM)与动脉粥样硬化等血管病变之间存在重要联系。本研究旨在探讨196个GM分类群与视网膜静脉闭塞(RVO)的关系。方法:采用孟德尔随机化(MR)、连锁不平衡评分回归(LDSC)和多基因重叠分析。从MiBioGen联盟获得了196个转基因分类群的全基因组关联研究(GWAS)数据,涉及大量欧洲血统参与者。RVO的GWAS数据来自FinnGen联盟和另一项涉及欧洲血统参与者的研究。采用反方差加权作为MR估计的主要方法。此外,采用LDSC和多基因重叠分析来评估转基因分类群与RVO的遗传相关性。结果:MR鉴定出芽胞杆菌纲、乳酸杆菌目、链球菌科、无芽梭菌属、家族XIII AD3011属、亚doligranulum属6个转基因分类群与RVO的发生有关。此外,多基因重叠分析支持转基因与RVO之间的遗传关联。结论:我们的研究结果证实了6个转基因分类群与RVO的发展之间的关联,从而强调了转基因对视网膜血管健康的影响。翻译相关性:该结果可能为开发基于gm的策略来预防RVO的发生提供理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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