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J Bacteriol. 2018 Jan 10;200(3). doi: 10.1128/JB.00376-17. Print 2018 Feb 1.
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Nat Microbiol. 2017 May 25;2:17075. doi: 10.1038/nmicrobiol.2017.75.
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Tracking microbial colonization in fecal microbiota transplantation experiments via genome-resolved metagenomics.通过基因组解析宏基因组学追踪粪便微生物移植实验中的微生物定植。
Microbiome. 2017 May 4;5(1):50. doi: 10.1186/s40168-017-0270-x.
3
Intestinal microbiome landscaping: insight in community assemblage and implications for microbial modulation strategies.肠道微生物群落景观:群落组装的见解及其对微生物调节策略的影响。
FEMS Microbiol Rev. 2017 Mar 1;41(2):182-199. doi: 10.1093/femsre/fuw045.
4
Exploring the human microbiome from multiple perspectives: factors altering its composition and function.从多个角度探索人类微生物组:改变其组成和功能的因素。
FEMS Microbiol Rev. 2017 Jul 1;41(4):453-478. doi: 10.1093/femsre/fuw046.
5
Profiling the metabolic signals involved in chemical communication between microbes using imaging mass spectrometry.使用成像质谱分析微生物间化学通讯中涉及的代谢信号。
FEMS Microbiol Rev. 2016 Nov 1;40(6):807-813. doi: 10.1093/femsre/fuw032.
6
Systematic Characterization and Analysis of the Taxonomic Drivers of Functional Shifts in the Human Microbiome.人类微生物组功能转变的分类驱动因素的系统表征与分析
Cell Host Microbe. 2017 Feb 8;21(2):254-267. doi: 10.1016/j.chom.2016.12.014. Epub 2017 Jan 19.
7
Metabolomics enables precision medicine: "A White Paper, Community Perspective".代谢组学助力精准医学:“白皮书,社区视角”
Metabolomics. 2016;12(10):149. doi: 10.1007/s11306-016-1094-6. Epub 2016 Sep 2.
8
Direct 16S rRNA-seq from bacterial communities: a PCR-independent approach to simultaneously assess microbial diversity and functional activity potential of each taxon.直接 16S rRNA 测序:一种无需聚合酶链式反应(PCR)即可同时评估每个分类群的微生物多样性和功能活性潜力的方法。
Sci Rep. 2016 Aug 31;6:32165. doi: 10.1038/srep32165.
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.
10
Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health.肠道微生物群分析:基于代谢组学的方法来揭示影响人类健康的化合物。
Front Microbiol. 2016 Jul 26;7:1144. doi: 10.3389/fmicb.2016.01144. eCollection 2016.

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.

DOI:10.1128/JB.00376-17
PMID:28874411
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5763049/
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。