Suppr超能文献

研究人类肠道微生物组在宿主健康中的互补方法,迈向综合系统生物学。

Complementary Methodologies To Investigate Human Gut Microbiota in Host Health, Working towards Integrative Systems Biology.

机构信息

Independent Investigator, Paris, France.

Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Madrid, Spain.

出版信息

J Bacteriol. 2018 Jan 10;200(3). doi: 10.1128/JB.00376-17. Print 2018 Feb 1.

Abstract

In 1680, Antonie van Leeuwenhoek noted compositional differences in his oral and fecal microbiota, pioneering the study of the diversity of the human microbiome. From Leeuwenhoek's time to successful modern attempts at changing the gut microbial landscape to cure disease, there has been an exponential increase in the recognition of our resident microbes as part of ourselves. Thus, the human host and microbiome have evolved in parallel to configure a balanced system in which microbes survive in homeostasis with our innate and acquired immune systems, unless disease occurs. A growing number of studies have demonstrated a correlation between the presence/absence of microbial taxa and some of their functional molecules (i.e., genes, proteins, and metabolites) with health and disease states. Nevertheless, misleading experimental design on human subjects and the cost and lack of standardized animal models pose challenges to answering the question of whether changes in microbiome composition are cause or consequence of a certain biological state. In this review, we evaluate the state of the art of methodologies that enable the study of the gut microbiome, encouraging a change in broadly used analytic strategies by choosing effector molecules (proteins and metabolites) in combination with coding nucleic acids. We further explore microbial and effector microbial product imbalances that relate to disease and health.

摘要

1680 年,安东尼·范·列文虎克(Antonie van Leeuwenhoek)注意到口腔和粪便微生物群落的组成差异,开创了人类微生物组多样性研究的先河。从列文虎克的时代到现代成功尝试改变肠道微生物群来治疗疾病,人们越来越认识到我们的常驻微生物是我们自身的一部分。因此,人类宿主和微生物组平行进化,以配置一个平衡的系统,使微生物在与我们的先天和获得性免疫系统的体内平衡中生存,除非发生疾病。越来越多的研究表明,微生物类群的存在/缺失及其一些功能分子(即基因、蛋白质和代谢物)与健康和疾病状态之间存在相关性。然而,对人类受试者的误导性实验设计以及成本和缺乏标准化的动物模型对回答微生物组组成的变化是某种生物状态的原因还是结果这一问题构成了挑战。在这篇综述中,我们评估了能够研究肠道微生物组的方法学的最新进展,通过选择效应分子(蛋白质和代谢物)与编码核酸相结合,鼓励广泛使用的分析策略发生改变。我们进一步探讨了与疾病和健康相关的微生物和效应微生物产物失衡。

相似文献

3
Modeling metabolism of the human gut microbiome.人类肠道微生物组的代谢建模。
Curr Opin Biotechnol. 2018 Jun;51:90-96. doi: 10.1016/j.copbio.2017.12.005. Epub 2017 Dec 16.
5
Lifestyle alters GUT-bacteria function: Linking immune response and host.生活方式改变肠道细菌功能:连接免疫反应和宿主。
Best Pract Res Clin Gastroenterol. 2017 Dec;31(6):625-635. doi: 10.1016/j.bpg.2017.09.009. Epub 2017 Sep 6.
10
Challenges of metabolomics in human gut microbiota research.人类肠道微生物群研究中代谢组学面临的挑战。
Int J Med Microbiol. 2016 Aug;306(5):266-279. doi: 10.1016/j.ijmm.2016.03.006. Epub 2016 Mar 15.

本文引用的文献

1
The path towards microbiome-based metabolite treatment.基于微生物组的代谢物治疗之路。
Nat Microbiol. 2017 May 25;2:17075. doi: 10.1038/nmicrobiol.2017.75.
9
Revised Estimates for the Number of Human and Bacteria Cells in the Body.人体和细菌细胞数量的修订估计值。
PLoS Biol. 2016 Aug 19;14(8):e1002533. doi: 10.1371/journal.pbio.1002533. eCollection 2016 Aug.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验