{"title":"解读微生物群-肠道-眼睛轴:肠道微生物群对近视因果影响的孟德尔随机化分析。","authors":"Weicheng Xu, Wei Shi","doi":"10.2174/0113862073385717250415110224","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The intricate relationship between the gut microbiome and myopia is increasingly recognized, underscoring the need to explore its causal dynamics. Despite emerging evidence, the influence of Gut Microbiota (GM) on ocular development remains underexplored.</p><p><strong>Methods: </strong>This study utilized Mendelian Randomization (MR) to investigate the causal impact of GM on the development of myopia. Instrumental variables (IVs) were identified from Genome- Wide Association Studies (GWAS), focusing on genetic variants significantly associated with microbiome composition. A comprehensive array of MR techniques was applied to ensure a robust estimation of causal effects and to adjust for potential confounders and pleiotropy.</p><p><strong>Results: </strong>The Inverse-Variance Weighted (IVW) method was used to identify significant associations between GM and myopia. Increased risk of myopia was linked to the class Betaproteobacteria (OR=1.01, 95% CI 1.004-1.017, P=0.003), the order Burkholderiales (OR=1.009, 95% CI 1.001-1.016, P=0.02), the family Oxalobacteraceae (OR=1.005, 95% CI 1.001-1.01, P=0.023), and several genera including Eubacterium xylanophilum group (OR=1.007, 95% CI 1.001-1.013, P=0.033), and Bifidobacterium (OR=1.005, 95% CI 1-1.01, P=0.038). Protective effects were noted for the order Mollicutes RF9 (OR=0.994, 95% CI 0.99-0.999, P=0.014), the genus Allisonella (OR=0.996, 95% CI 0.993-0.999, P=0.019), the genus Lachnospiraceae UCG001 (OR=0.994, 95% CI 0.989-1, P=0.045), and the family Enterobacteraceae (OR=0.991, 95% CI 0.982-1, P=0.047) and order Enterobacteriales (OR=0.991, 95% CI 0.982-1, P=0.047). Sensitivity analyses further confirmed the robustness of these findings.</p><p><strong>Conclusions: </strong>The findings support the \"Microbiome-Gut-Eye Axis\" as a potential factor in myopia pathogenesis and highlight microbiota-targeted interventions as novel therapeutic strategies for managing myopia. This study lays the groundwork for further research on how modifying GM can influence eye health and offers new perspectives on preventive health strategies.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deciphering the Microbiome-Gut-Eye Axis: A Mendelian Randomization Analysis of the Causal Influence of Gut Microbiota on Myopia.\",\"authors\":\"Weicheng Xu, Wei Shi\",\"doi\":\"10.2174/0113862073385717250415110224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The intricate relationship between the gut microbiome and myopia is increasingly recognized, underscoring the need to explore its causal dynamics. Despite emerging evidence, the influence of Gut Microbiota (GM) on ocular development remains underexplored.</p><p><strong>Methods: </strong>This study utilized Mendelian Randomization (MR) to investigate the causal impact of GM on the development of myopia. Instrumental variables (IVs) were identified from Genome- Wide Association Studies (GWAS), focusing on genetic variants significantly associated with microbiome composition. A comprehensive array of MR techniques was applied to ensure a robust estimation of causal effects and to adjust for potential confounders and pleiotropy.</p><p><strong>Results: </strong>The Inverse-Variance Weighted (IVW) method was used to identify significant associations between GM and myopia. Increased risk of myopia was linked to the class Betaproteobacteria (OR=1.01, 95% CI 1.004-1.017, P=0.003), the order Burkholderiales (OR=1.009, 95% CI 1.001-1.016, P=0.02), the family Oxalobacteraceae (OR=1.005, 95% CI 1.001-1.01, P=0.023), and several genera including Eubacterium xylanophilum group (OR=1.007, 95% CI 1.001-1.013, P=0.033), and Bifidobacterium (OR=1.005, 95% CI 1-1.01, P=0.038). Protective effects were noted for the order Mollicutes RF9 (OR=0.994, 95% CI 0.99-0.999, P=0.014), the genus Allisonella (OR=0.996, 95% CI 0.993-0.999, P=0.019), the genus Lachnospiraceae UCG001 (OR=0.994, 95% CI 0.989-1, P=0.045), and the family Enterobacteraceae (OR=0.991, 95% CI 0.982-1, P=0.047) and order Enterobacteriales (OR=0.991, 95% CI 0.982-1, P=0.047). Sensitivity analyses further confirmed the robustness of these findings.</p><p><strong>Conclusions: </strong>The findings support the \\\"Microbiome-Gut-Eye Axis\\\" as a potential factor in myopia pathogenesis and highlight microbiota-targeted interventions as novel therapeutic strategies for managing myopia. 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引用次数: 0
摘要
背景:肠道微生物群与近视之间的复杂关系越来越被认识到,强调了探索其因果动力学的必要性。尽管有新的证据,但肠道微生物群(GM)对眼部发育的影响仍未得到充分探讨。方法:本研究采用孟德尔随机化方法(MR)研究转基因对近视发展的因果影响。工具变量(IVs)是从全基因组关联研究(GWAS)中确定的,重点是与微生物组组成显著相关的遗传变异。应用了一系列全面的磁共振技术,以确保对因果效应的可靠估计,并调整潜在的混杂因素和多效性。结果:采用反方差加权(IVW)方法确定GM与近视之间的显著相关性。近视风险增加与Betaproteobacteria纲(OR=1.01, 95% CI 1.004-1.017, P=0.003)、Burkholderiales目(OR=1.009, 95% CI 1.001-1.016, P=0.02)、Oxalobacteraceae科(OR=1.005, 95% CI 1.001-1.01, P=0.023)以及包括嗜木真杆菌(OR=1.007, 95% CI 1.001-1.013, P=0.033)和双歧杆菌(OR=1.005, 95% CI 1-1.01, P=0.038)在内的几个属有关。Mollicutes RF9目(OR=0.994, 95% CI 0.999 -0.999, P=0.014)、Allisonella属(OR=0.996, 95% CI 0.993-0.999, P=0.019)、毛螺科UCG001属(OR=0.994, 95% CI 0.989-1, P=0.045)、肠杆菌科(OR=0.991, 95% CI 0.982-1, P=0.047)和肠杆菌目(OR=0.991, 95% CI 0.982-1, P=0.047)均有保护作用。敏感性分析进一步证实了这些发现的稳健性。结论:研究结果支持“微生物群-肠道-眼轴”是近视发病的潜在因素,并强调微生物群靶向干预是治疗近视的新策略。本研究为进一步研究转基因基因如何影响眼健康奠定了基础,并为预防健康策略提供了新的视角。
Deciphering the Microbiome-Gut-Eye Axis: A Mendelian Randomization Analysis of the Causal Influence of Gut Microbiota on Myopia.
Background: The intricate relationship between the gut microbiome and myopia is increasingly recognized, underscoring the need to explore its causal dynamics. Despite emerging evidence, the influence of Gut Microbiota (GM) on ocular development remains underexplored.
Methods: This study utilized Mendelian Randomization (MR) to investigate the causal impact of GM on the development of myopia. Instrumental variables (IVs) were identified from Genome- Wide Association Studies (GWAS), focusing on genetic variants significantly associated with microbiome composition. A comprehensive array of MR techniques was applied to ensure a robust estimation of causal effects and to adjust for potential confounders and pleiotropy.
Results: The Inverse-Variance Weighted (IVW) method was used to identify significant associations between GM and myopia. Increased risk of myopia was linked to the class Betaproteobacteria (OR=1.01, 95% CI 1.004-1.017, P=0.003), the order Burkholderiales (OR=1.009, 95% CI 1.001-1.016, P=0.02), the family Oxalobacteraceae (OR=1.005, 95% CI 1.001-1.01, P=0.023), and several genera including Eubacterium xylanophilum group (OR=1.007, 95% CI 1.001-1.013, P=0.033), and Bifidobacterium (OR=1.005, 95% CI 1-1.01, P=0.038). Protective effects were noted for the order Mollicutes RF9 (OR=0.994, 95% CI 0.99-0.999, P=0.014), the genus Allisonella (OR=0.996, 95% CI 0.993-0.999, P=0.019), the genus Lachnospiraceae UCG001 (OR=0.994, 95% CI 0.989-1, P=0.045), and the family Enterobacteraceae (OR=0.991, 95% CI 0.982-1, P=0.047) and order Enterobacteriales (OR=0.991, 95% CI 0.982-1, P=0.047). Sensitivity analyses further confirmed the robustness of these findings.
Conclusions: The findings support the "Microbiome-Gut-Eye Axis" as a potential factor in myopia pathogenesis and highlight microbiota-targeted interventions as novel therapeutic strategies for managing myopia. This study lays the groundwork for further research on how modifying GM can influence eye health and offers new perspectives on preventive health strategies.
期刊介绍:
Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal:
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