Meta-analysis identifies common gut microbiota associated with multiple sclerosis.

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY Genome Medicine Pub Date : 2024-07-31 DOI:10.1186/s13073-024-01364-x
Qingqi Lin, Yair Dorsett, Ali Mirza, Helen Tremlett, Laura Piccio, Erin E Longbrake, Siobhan Ni Choileain, David A Hafler, Laura M Cox, Howard L Weiner, Takashi Yamamura, Kun Chen, Yufeng Wu, Yanjiao Zhou
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引用次数: 0

Abstract

Background: Previous studies have identified a diverse group of microbial taxa that differ between patients with multiple sclerosis (MS) and the healthy population. However, interpreting findings on MS-associated microbiota is challenging, as there is no true consensus. It is unclear whether there is gut microbiota commonly altered in MS across studies.

Methods: To answer this, we performed a meta-analysis based on the 16S rRNA gene sequencing data from seven geographically and technically diverse studies comprising a total of 524 adult subjects (257 MS and 267 healthy controls). Analysis was conducted for each individual study after reprocessing the data and also by combining all data together. The blocked Wilcoxon rank-sum test and linear mixed-effects regression were used to identify differences in microbial composition and diversity between MS and healthy controls. Network analysis was conducted to identify bacterial correlations. A leave-one-out sensitivity analysis was performed to ensure the robustness of the findings.

Results: The microbiome community structure was significantly different between studies. Re-analysis of data from individual studies revealed a lower relative abundance of Prevotella in MS across studies, compared to controls. Meta-analysis found that although alpha and beta diversity did not differ between MS and controls, a higher abundance of Actinomyces and a lower abundance of Faecalibacterium were reproducibly associated with MS. Additionally, network analysis revealed that the recognized negative Bacteroides-Prevotella correlation in controls was disrupted in patients with MS.

Conclusions: Our meta-analysis identified common gut microbiota associated with MS across geographically and technically diverse studies.

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元分析确定了与多发性硬化症有关的常见肠道微生物群。
背景:以往的研究发现,多发性硬化症(MS)患者和健康人群的微生物分类群各不相同。然而,解释多发性硬化症相关微生物群的研究结果具有挑战性,因为目前还没有达成真正的共识。目前还不清楚在不同的研究中,多发性硬化症患者的肠道微生物群是否普遍发生了改变:为了回答这个问题,我们根据七项研究的 16S rRNA 基因测序数据进行了一项荟萃分析,这些研究在地域和技术上各不相同,共包括 524 名成年受试者(257 名多发性硬化症患者和 267 名健康对照者)。每项研究的数据都经过重新处理,并将所有数据合并在一起进行分析。采用阻断 Wilcoxon 秩和检验和线性混合效应回归来确定多发性硬化症和健康对照组之间微生物组成和多样性的差异。进行网络分析以确定细菌相关性。为确保研究结果的稳健性,还进行了留空敏感性分析:结果:不同研究之间的微生物群落结构存在显著差异。对单项研究数据的再分析表明,与对照组相比,多发性硬化症患者体内普雷沃茨菌的相对丰度较低。元分析发现,虽然多发性硬化症和对照组的α和β多样性没有差异,但放线菌的丰度较高和粪杆菌的丰度较低与多发性硬化症有重复性关联。此外,网络分析显示,对照组中公认的乳杆菌-前胡菌负相关在多发性硬化症患者中被打破:我们的荟萃分析在不同地域和技术的研究中发现了与多发性硬化症相关的常见肠道微生物群。
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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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