Evaluation of bacteriophages as a signature of microbiome health: a systematic review and meta-analysis.

IF 20.4 1区 生物学 Q1 INFECTIOUS DISEASES
Rachel M Wheatley, Dominique Holtappels, Britt Koskella
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引用次数: 0

Abstract

Background: Parasites are foundational to ecosystem health both as indicator species of community productivity and as drivers of diversity. In bacterial communities, bacteriophage viruses can have such roles as they track and modulate the dynamic composition of bacterial hosts within an ecosystem. We aimed to test whether viromes can be used as broad signatures of microbiome health using previously published results across systems.

Methods: In this systematic review and meta-analysis, we searched PubMed, Google Scholar, Scopus, and Web of Science from Jan 22, 2022, to Sept 17, 2024, for peer-reviewed, primary literature published in English, using search terms "phage diversity", "microbiome", "virome", "virus", "phageome", "disease", and "dysbiosis". Inclusion criteria were: a comparison between a dysbiosis state and a healthy state in a human or animal host; a defined host organism and microbiome site; examination of the virome; an obtained measure of virome diversity (α, β, or both); use of statistical analysis to assess whether α or β diversity are changed in dysbiosis; and sufficient methodology description on viral isolation and on virus sequence analysis pipeline. We conducted a qualitative data analysis to assess factors explaining changes to virome diversity in dysbiosis. We then calculated response ratios for each study to test for overall patterns of virome α diversity change under disturbance. Finally, we conducted a quantitative analysis on studies from which we were able to obtain paired virome and bacteriome α diversity data to examine the correlation between these data in defined health compared with defined disturbance conditions. This study was not registered.

Findings: We identified a total of 74 studies for inclusion that spanned human (n=61), mouse (n=8), pig (n=3), dog (n=1), and cow (n=1) hosts and a diverse spectrum of infections and diseases. By comparing observed phage and bacterial diversity in microbiomes characterised by dysbiosis with those considered control populations, we were able to identify some key commonalities. Of the 69 studies that investigated changes to α diversity of the virome in dysbiosis, 28 (41%) reported significant changes, but with variable directional change. Of 38 datasets (from 30 studies) for which virome α diversity values were available, 22 (58%) gave a response ratio of less than 1 (α diversity decreases in dysbiosis) and 16 (42%) of more than 1 (α diversity increases in dysbiosis); however, in 27 (71%) datasets, 95% CIs overlapped with 1 (ie, no change in α diversity). We found shifting virome composition to be a more consistent signature of dysbiosis, with 47 (69%) of 68 studies reporting a significant change in viral β diversity with dysbiosis. 62 (89%) of 70 studies reported significant enrichment of system-specific viral taxa under dysbiosis. Our quantitative correlation analysis suggested that bacterial α diversity is a greater predictor of virome α diversity in healthy groups (mean r2=0·380; 95% CI 0·597-0·163) than in dysbiosis (mean r2=0·118, 0·223-0·012; sign test for asymmetric non-parametric data p=4·9 × 10-10).

Interpretation: Overall, although specific viral signatures of dysbiosis are likely to be highly disease-specific and condition-specific, we show that existing ecological theory shows promise in predicting the relationship between bacterial and phage diversity and in providing broad signatures of dysbiosis across disease systems. Our observation that the relationship between bacterial and phage diversity breaks down under disturbance suggests that this feature could be a useful signature of dysbiosis and that future studies incorporating the virome could provide opportunity to diagnose, treat, and better understand the causes of microbiome disturbance.

Funding: There was no funding source for this study.

噬菌体作为微生物组健康标志的评估:系统回顾和荟萃分析。
背景:寄生虫是生态系统健康的基础,既是群落生产力的指示物种,也是多样性的驱动因素。在细菌群落中,噬菌体病毒可以跟踪和调节生态系统中细菌宿主的动态组成。我们的目的是测试病毒组是否可以使用以前发表的跨系统结果作为微生物组健康的广泛标志。方法:在本系统综述和荟萃分析中,我们检索了PubMed、谷歌Scholar、Scopus和Web of Science从2022年1月22日至2024年9月17日发表的同行评议的英文主要文献,检索词为“噬菌体多样性”、“微生物组”、“病毒组”、“病毒组”、“噬菌体”、“疾病”和“生态失调”。纳入标准是:比较人类或动物宿主的生态失调状态和健康状态;已确定的宿主生物和微生物组位点;病毒体检查;获得的病毒多样性测量值(α, β或两者);利用统计分析评估α或β多样性是否在生态失调中发生改变;并对病毒分离和病毒序列分析管道进行了充分的方法描述。我们进行了定性数据分析,以评估在生态失调中解释病毒多样性变化的因素。然后,我们计算了每个研究的响应比,以测试干扰下病毒α多样性变化的总体模式。最后,我们对研究进行了定量分析,从中我们能够获得成对的病毒组和细菌组α多样性数据,以检查这些数据在定义健康与定义干扰条件下的相关性。本研究未注册。研究结果:我们共确定了74项研究纳入,涵盖人类(n=61)、小鼠(n=8)、猪(n=3)、狗(n=1)和牛(n=1)宿主以及各种感染和疾病。通过比较以生态失调为特征的微生物组中观察到的噬菌体和细菌多样性,我们能够确定一些关键的共性。在69项研究中,有28项(41%)研究了生态失调时病毒体α多样性的变化,但有不同的方向变化。在38个数据集(来自30个研究)中,22个(58%)给出的响应比小于1 (α多样性在生态失调中减少),16个(42%)给出的响应比大于1 (α多样性在生态失调中增加);然而,在27个(71%)数据集中,95%的ci与1重叠(即α多样性没有变化)。我们发现病毒组组成的变化是生态失调的一个更一致的特征,68项研究中有47项(69%)报告了生态失调时病毒β多样性的显著变化。70项研究中有62项(89%)报告了生态失调下系统特异性病毒分类群的显著富集。我们的定量相关分析表明,细菌α多样性在健康组(平均r2= 0.380; 95% CI为0.597 - 0.163)中比在生态失调组(平均r2= 0.118, 0.223 - 0.012;非对称非参数数据的符号检验p= 4.9 × 10-10)中更能预测病毒组α多样性。解释:总的来说,尽管失调的特定病毒特征可能是高度疾病特异性和条件特异性的,但我们表明,现有的生态学理论在预测细菌和噬菌体多样性之间的关系以及提供跨疾病系统的生态失调的广泛特征方面显示出希望。我们观察到细菌和噬菌体多样性之间的关系在受到干扰时被破坏,这表明这一特征可能是生态失调的一个有用的特征,未来的研究结合病毒组可以为诊断、治疗和更好地理解微生物组紊乱的原因提供机会。资金来源:本研究没有资金来源。
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
Lancet Microbe
Lancet Microbe Multiple-
CiteScore
27.20
自引率
0.80%
发文量
278
审稿时长
6 weeks
期刊介绍: The Lancet Microbe is a gold open access journal committed to publishing content relevant to clinical microbiologists worldwide, with a focus on studies that advance clinical understanding, challenge the status quo, and advocate change in health policy.
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