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抗生素治疗对人类肠道微生物组的生态和进化响应。

Ecological and Evolutionary responses to Antibiotic Treatment in the Human Gut Microbiota.

机构信息

APC Microbiome Ireland, Biosciences Institute, University College Cork, College Road, Cork, T12 YT20, Ireland.

School of Mirobiology, Food Science & Technology Building, University College Cork, College Road, Cork, T12 K8AF, Ireland.

出版信息

FEMS Microbiol Rev. 2021 Sep 8;45(5). doi: 10.1093/femsre/fuab018.

Abstract

The potential for antibiotics to affect the ecology and evolution of the human gut microbiota is well recognised and has wide-ranging implications for host health. Here, we review the findings of key studies that surveyed the human gut microbiota during antibiotic treatment. We find several broad patterns including the loss of diversity, disturbance of community composition, suppression of bacteria in the Actinobacteria phylum, amplification of bacteria in the Bacteroidetes phylum, and promotion of antibiotic resistance. Such changes to the microbiota were often, but not always, recovered following the end of treatment. However, many studies reported unique and/or contradictory results, which highlights our inability to meaningfully predict or explain the effects of antibiotic treatment on the human gut microbiome. This problem arises from variation between existing studies in three major categories: differences in dose, class and combinations of antibiotic treatments used; differences in demographics, lifestyles, and locations of subjects; and differences in measurements, analyses and reporting styles used by researchers. To overcome this, we suggest two integrated approaches: (i) a top-down approach focused on building predictive models through large sample sizes, deep metagenomic sequencing, and effective collaboration; and (ii) a bottom-up reductionist approach focused on testing hypotheses using model systems.

摘要

抗生素对人类肠道微生物群的生态和进化产生影响的潜力是众所周知的,这对宿主健康有广泛的影响。在这里,我们回顾了调查抗生素治疗期间人类肠道微生物群的关键研究的发现。我们发现了几个广泛的模式,包括多样性的丧失、群落组成的混乱、放线菌门细菌的抑制、拟杆菌门细菌的扩增以及抗生素耐药性的促进。这些微生物群的变化在治疗结束后通常会(但并非总是)得到恢复。然而,许多研究报告了独特和/或矛盾的结果,这凸显了我们无法有意义地预测或解释抗生素治疗对人类肠道微生物组的影响。这个问题源于现有研究在三个主要类别中的差异:抗生素治疗使用的剂量、种类和组合的差异;研究对象的人口统计学、生活方式和地理位置的差异;以及研究人员使用的测量、分析和报告方式的差异。为了解决这个问题,我们建议两种综合方法:(i)一种自上而下的方法,侧重于通过大样本量、深度宏基因组测序和有效的合作来建立预测模型;(ii)一种自下而上的简化方法,侧重于使用模型系统来测试假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79bc/8498795/aa9472a017e9/fuab018fig1.jpg

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