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原文链接:Synthetic gut microbiome: Advances and challenges - PMC (nih.gov)
AbstractAn exponential rise in studies regarding the association among human gut microbial communities, human health, and diseases is currently attracting the attention of researchers to focus on human gut microbiome research. However, even with the ever-growing number of studies on the human gut microbiome, translation into improved health is progressing slowly. This hampering is due to the complexities of the human gut microbiome, which is composed of >1,000 species of microorganisms, such as bacteria, archaea, viruses, and fungi. To overcome this complexity, it is necessary to reduce the gut microbiome, which can help simplify experimental variables to an extent, such that they can be deliberately manipulated and controlled. Reconstruction of synthetic or established gut microbial communities would make it easier to understand the structure, stability, and functional activities of the complex microbial community of the human gut. Here, we provide an overview of the developments and challenges of the synthetic human gut microbiome, and propose the incorporation of multi-omics and mathematical methods in a better synthetic gut ecosystem design, for easy translation of microbiome information to therapies.
Keywords: Synthetic microbiota, Gut ecosystem, Omics, Mathematical modelling
摘要
目前,有关人类肠道微生物群落、人类健康和疾病之间关联的研究呈指数级增长,吸引了研究人员将注意力集中在人类肠道微生物组研究上。然而,即使有越来越多的人类肠道微生物组研究,转化为改善健康的进展缓慢。这种阻碍是由于人类肠道微生物组的复杂性,其中包括1000多种微生物,如细菌、古菌、病毒和真菌。为了克服这种复杂性,有必要减少肠道微生物组的复杂性,这有助于将实验变量简化到一定程度,使其可以被有意识地操纵和控制。重建合成或已建立的肠道微生物群落将更容易理解人类肠道复杂微生物群落的结构、稳定性和功能活动。在这里,我们概述了合成人类肠道微生物组的发展和挑战,并提出将多组学和数学方法纳入更好的合成肠道生态系统设计,以便将微生物组信息轻松转化为治疗方法。
关键词:合成微生物群、肠道生态系统、组学、数学建模
图1. 合成肠道微生物组研究的当前应用和挑战概览
图2. 目前用于肠道微生物培养的体外模拟肠道系统。
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