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炎症性肠病中黏膜基因调控、mRNA剪接与黏附微生物群特征的解偶联

Uncoupling of mucosal gene regulation, mRNA splicing and adherent microbiota signatures in inflammatory bowel disease.

作者信息

Häsler Robert, Sheibani-Tezerji Raheleh, Sinha Anupam, Barann Matthias, Rehman Ateequr, Esser Daniela, Aden Konrad, Knecht Carolin, Brandt Berenice, Nikolaus Susanna, Schäuble Sascha, Kaleta Christoph, Franke Andre, Fretter Christoph, Müller Werner, Hütt Marc-Thorsten, Krawczak Michael, Schreiber Stefan, Rosenstiel Philip

机构信息

Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel, Kiel, Germany.

Institute for Experimental Medicine, Christian Albrechts University of Kiel, Kiel, Germany.

出版信息

Gut. 2017 Dec;66(12):2087-2097. doi: 10.1136/gutjnl-2016-311651. Epub 2016 Sep 30.


DOI:10.1136/gutjnl-2016-311651
PMID:27694142
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5749366/
Abstract

OBJECTIVE: An inadequate host response to the intestinal microbiota likely contributes to the manifestation and progression of human inflammatory bowel disease (IBD). However, molecular approaches to unravelling the nature of the defective crosstalk and its consequences for intestinal metabolic and immunological networks are lacking. We assessed the mucosal transcript levels, splicing architecture and mucosa-attached microbial communities of patients with IBD to obtain a comprehensive view of the underlying, hitherto poorly characterised interactions, and how these are altered in IBD. DESIGN: Mucosal biopsies from Crohn's disease and patients with UC, disease controls and healthy individuals (n=63) were subjected to microbiome, transcriptome and splicing analysis, employing next-generation sequencing. The three data levels were integrated by different bioinformatic approaches, including systems biology-inspired network and pathway analysis. RESULTS: Microbiota, host transcript levels and host splicing patterns were influenced most strongly by tissue differences, followed by the effect of inflammation. Both factors point towards a substantial disease-related alteration of metabolic processes. We also observed a strong enrichment of splicing events in inflamed tissues, accompanied by an alteration of the mucosa-attached bacterial taxa. Finally, we noted a striking uncoupling of the three molecular entities when moving from healthy individuals via disease controls to patients with IBD. CONCLUSIONS: Our results provide strong evidence that the interplay between microbiome and host transcriptome, which normally characterises a state of intestinal homeostasis, is drastically perturbed in Crohn's disease and UC. Consequently, integrating multiple OMICs levels appears to be a promising approach to further disentangle the complexity of IBD.

摘要

目的:宿主对肠道微生物群的反应不足可能导致人类炎症性肠病(IBD)的发生和发展。然而,目前缺乏分子方法来揭示缺陷性相互作用的本质及其对肠道代谢和免疫网络的影响。我们评估了IBD患者的黏膜转录水平、剪接结构和黏膜附着微生物群落,以全面了解潜在的、迄今特征不明的相互作用,以及这些相互作用在IBD中是如何改变的。 设计:采用下一代测序技术,对克罗恩病患者、溃疡性结肠炎患者、疾病对照者和健康个体(n = 63)的黏膜活检组织进行微生物组、转录组和剪接分析。通过不同的生物信息学方法,包括受系统生物学启发的网络和通路分析,整合这三个数据层面。 结果:微生物群、宿主转录水平和宿主剪接模式受组织差异影响最大,其次是炎症的影响。这两个因素均表明代谢过程存在与疾病相关的实质性改变。我们还观察到炎症组织中剪接事件显著富集,同时黏膜附着细菌类群发生改变。最后,我们注意到从健康个体经疾病对照到IBD患者,这三个分子实体之间存在明显的解偶联。 结论:我们的结果提供了有力证据,表明微生物组与宿主转录组之间的相互作用(通常表征肠道稳态状态)在克罗恩病和溃疡性结肠炎中受到严重干扰。因此,整合多个组学层面似乎是进一步厘清IBD复杂性的一种有前景的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/e14e0f5e6d66/gutjnl-2016-311651f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/9d12d0ac9e35/gutjnl-2016-311651f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/a233bceef02f/gutjnl-2016-311651f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/7cc696c43049/gutjnl-2016-311651f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/b31a98c1fd94/gutjnl-2016-311651f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/c1c7a9085dc8/gutjnl-2016-311651f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/e14e0f5e6d66/gutjnl-2016-311651f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/9d12d0ac9e35/gutjnl-2016-311651f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/a233bceef02f/gutjnl-2016-311651f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/7cc696c43049/gutjnl-2016-311651f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/b31a98c1fd94/gutjnl-2016-311651f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/c1c7a9085dc8/gutjnl-2016-311651f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee49/5749366/e14e0f5e6d66/gutjnl-2016-311651f06.jpg

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