年龄相关性眼病研究补充剂和遗传风险评分是老年黄斑变性患者肠道微生物改变的关键决定因素

IF 4.6 Q1 OPHTHALMOLOGY
Neda Dadgar PhD , Kevin Fung MD , Scott McClintic MD , Christina Metea , Victor Llorenç MD, PhD , Mohamed Saleh MD, PhD , Yukiko K. Nakamura PhD , Cody Jahrig MD , Lee Kiang MD, PhD , Cathleen Janowitz MS , Sean Davin , Ariel Balter PhD , Kim-Anh Le Cao PhD , Lisa Karstens PhD , Tammy M. Martin PhD , Michael L. Klein MD , Phoebe Lin MD, PhD
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引用次数: 0

摘要

目的确定肠道微生物特征是否与高龄黄斑变性(AMD)相关;研究微生物群与AMD遗传风险、肠道免疫球蛋白a (IgA)和年龄相关性眼病研究(AREDS)补充之间的关系。DesignCase-control研究。方法采用粪便16S rRNA测序、DESeq2差异丰度和iga测序。受试者:晚期AMD和年龄相近的非AMD对照受试者。主要结局指标:采用DESeq2、α和β多样性绘制差异丰度图,以及补充AREDS和遗传风险对AMD微生物群的影响。结果85例晚期AMD患者的肠道菌群与49例健康对照者的肠道菌群比较,探索性偏最小二乘判别分析(PLS-DA)显示,肠道菌群组成能够以中等信度预测AMD(交叉验证错误率为0.28-0.36),但存在过拟合的可能性。较高的AMD遗传风险评分与较低的肠道微生物多样性相关(P = 0.0086; Spearman r = -0.3),这一发现经混杂协变量的多元线性回归证实,而补充AREDS与肠道细菌多样性增加相关(系数为2.64;P < 0.05)。差异丰度图显示,与对照组相比,AMD中变形杆菌和许多差异丰度属(包括Prevotella, Desulfovibrio, Oscillospira和Ruminococcaceae)增加。流式细胞术和IgA测序显示,年龄相关性黄斑病变易感性2 (ARMS2)基因风险型肠道细菌IgA包被增加,包括普雷沃氏菌IgA指数升高。这些发现是假设产生的,需要功能验证。预测代谢途径(通过啡肽)在AMD和对照组之间的差异包括脂质代谢和细胞色素P450的异种加工;这些发现是推断出来的,需要代谢组学研究来证实。结论肠道微生物组可通过PLS-DA预测晚期AMD。AREDS补充和遗传风险是AMD微生物组的关键决定因素,AMD微生物组通过增加IgA与某些细菌的结合与肠道免疫相互作用。了解肠道微生物群及其代谢物如何与肠道免疫和宿主遗传学相互作用,将使我们能够进一步研究微生物群,以发现AMD的潜在新治疗靶点。财务披露专有或商业披露可在本文末尾的脚注和披露中找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Age-related Eye Disease Studies Supplements and Genetic Risk Score Are Crucial Determinants of Intestinal Microbial Alterations in Advanced Age-Related Macular Degeneration

Objective

Determine whether an intestinal microbial signature is associated with advanced age-related macular degeneration (AMD); investigate the relationship between the microbiota and AMD genetic risk, intestinal immunoglobulin-A (IgA), and Age-Related Eye Disease Studies (AREDS) supplementation.

Design

Case-control study.

Methods

Fecal 16S rRNA sequencing, DESeq2 differential abundance, and IgA-sequencing.

Subjects

Advanced AMD and age-similar non-AMD control subjects.

Main Outcome Measures

Differential abundance plots using DESeq2, α and β diversity, and impact of AREDS supplementation and genetic risk on AMD microbiota.

Results

In 85 advanced AMD compared with 49 healthy control subjects’ intestinal microbiota, exploratory partial least-squares-discriminant analysis (PLS-DA) showed that gut microbiome composition was able to predict AMD with moderate confidence (cross validation error rates, 0.28–0.36) with the potential for overfitting. A higher AMD genetic risk score was associated with lower gut microbial diversity (P = 0.0086; Spearman r = –0.3), a finding confirmed by multiple linear regression with confounding covariates, whereas AREDS supplementation was associated with increased gut bacterial diversity (coefficient, 2.64; P < 0.05). Differential abundance plots showed increased Proteobacteria and many differentially abundant genera (including Prevotella, Desulfovibrio, Oscillospira, and Ruminococcaceae) in AMD versus controls. Flow cytometry and IgA-sequencing suggested increased IgA-coating of gut bacteria in the age-related maculopathy susceptibility 2 (ARMS2) gene risk genotype, including higher IgA indices for Prevotella. These findings are hypothesis-generating and require functional validation. Predicted metabolic pathways (via piphillin) that differed between AMD and controls included lipid metabolism and xenobiotic processing by cytochrome P450; these findings are inferred and require confirmation by metabolomic studies.

Conclusions

The intestinal microbiome is able to predict advanced AMD via PLS-DA. AREDS supplementation and genetic risk are crucial determinants of the AMD microbiome, which interacts with gut immunity by increasing IgA binding to certain bacteria. Understanding how the gut microbiome and its metabolites interact with gut immunity and host genetics will allow us to further investigate the microbiome to find potentially novel therapeutic targets in AMD.

Financial Disclosure(s)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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来源期刊
Ophthalmology science
Ophthalmology science Ophthalmology
CiteScore
3.40
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