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肠道宿主-微生物群相互作用组的计算研究

Computational Studies of the Intestinal Host-Microbiota Interactome.

作者信息

Christley Scott, Cockrell Chase, An Gary

机构信息

Department of Surgery, University of Chicago, 5841 South Maryland Avenue, Chicago, IL 60637, USA.

出版信息

Computation (Basel). 2015 Mar;3(1):2-28. doi: 10.3390/computation3010002. Epub 2015 Jan 14.

Abstract

A large and growing body of research implicates aberrant immune response and compositional shifts of the intestinal microbiota in the pathogenesis of many intestinal disorders. The molecular and physical interaction between the host and the microbiota, known as the host-microbiota interactome, is one of the key drivers in the pathophysiology of many of these disorders. This host-microbiota interactome is a set of dynamic and complex processes, and needs to be treated as a distinct entity and subject for study. Disentangling this complex web of interactions will require novel approaches, using a combination of data-driven bioinformatics with knowledge-driven computational modeling. This review describes the computational approaches for investigating the host-microbiota interactome, with emphasis on the human intestinal tract and innate immunity, and highlights open challenges and existing gaps in the computation methodology for advancing our knowledge about this important facet of human health.

摘要

大量且不断增加的研究表明,异常免疫反应和肠道微生物群的组成变化与许多肠道疾病的发病机制有关。宿主与微生物群之间的分子和物理相互作用,即宿主-微生物群相互作用组,是许多此类疾病病理生理学的关键驱动因素之一。这种宿主-微生物群相互作用组是一组动态且复杂的过程,需要被视为一个独特的实体和研究对象。解开这一复杂的相互作用网络需要新颖的方法,将数据驱动的生物信息学与知识驱动的计算建模相结合。本综述描述了用于研究宿主-微生物群相互作用组的计算方法,重点是人类肠道和先天免疫,并强调了在计算方法方面存在的开放性挑战和现有差距,以推动我们对人类健康这一重要方面的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43c7/8580329/8411c7e20749/nihms-1746093-f0001.jpg

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