Depletion of core microbiome forms the shared background against diverging dysbiosis patterns in Crohn's disease and intestinal tuberculosis: insights from an integrated multi-cohort analysis.

IF 4.3 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Gut Pathogens Pub Date : 2024-11-07 DOI:10.1186/s13099-024-00654-4
Aditya Bajaj, Manasvini Markandey, Amit Samal, Sourav Goswami, Sudheer K Vuyyuru, Srikant Mohta, Bhaskar Kante, Peeyush Kumar, Govind Makharia, Saurabh Kedia, Tarini Shankar Ghosh, Vineet Ahuja
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Abstract

Background/aims: Crohn's disease (CD) and intestinal tuberculosis (ITB) are gastrointestinal (GI) inflammatory disorders with overlapping clinical presentations but diverging etiologies. The study aims to decipher CD and ITB-associated gut dysbiosis signatures and identify disease-associated co-occurring modules to evaluate whether this dysbiosis signature is a disease-specific trait or is a shared feature across diseases of diverging etiologies.

Methods: Disease-associated gut microbial modules were identified using statistical machine learning and co-abundance network analysis in controls, CD and ITB patients recruited as part of this study. Module reproducibility was reinvestigated through meta-network analysis encompassing >5400 bacteriomes and ~900 mycobiomes. Subsequently, >1600 Indian gut microbiomes were analyzed to identify a central-core gut microbiome of 46 taxa, whose abundances aided in the formulation of an India-specific Core Gut Microbiome Score (CGMS) to measure the degree of core retention.

Results: Both diseases witness similar patterns of alterations in [alpha]-diversity, characterized by a significant reduction in gut bacterial (i.e., bacterial/archaeal) diversity and a concomitant increase in the fungal [alpha]-diversity. Specific bacterial taxa, along with the diverging mycobiome enabled distinction between the diseases. Co-abundance network analysis of these taxa, validated by integrated meta-network analysis, revealed a 'disease-depleted' module, consistent across multiple cohorts, with >75% of this module constituting the central-core Indian gut microbiome. CGMS robustly assessed the core-microbiome loss across different stages of gut inflammatory disorders, in Indian and international cohorts.

Conclusions: While the disease-specific gain of detrimental bacteria forms an important component of gut dysbiosis, loss of the core microbiome is a shared phenomenon contributing to various GI disorders.

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克罗恩病与肠结核中不同的菌群失调模式的共同背景是核心微生物群的耗竭:多队列综合分析的启示。
背景/目的:克罗恩病(CD)和肠结核(ITB)是胃肠道(GI)炎症性疾病,临床表现相互重叠,但病因不同。该研究旨在破译 CD 和 ITB 相关的肠道菌群失调特征,并确定疾病相关的共存模块,以评估这种菌群失调特征是一种疾病特异性特征,还是不同病因疾病的共同特征:方法:利用统计机器学习和共丰度网络分析,在本研究招募的对照组、CD 和 ITB 患者中识别与疾病相关的肠道微生物模块。通过包含 >5400 个细菌组和约 900 个真菌生物群的元网络分析,对模块的再现性进行了重新研究。随后,对超过 1600 个印度肠道微生物组进行了分析,以确定由 46 个类群组成的中央核心肠道微生物组,其丰度有助于制定印度特有的核心肠道微生物组评分(CGMS),以衡量核心保留的程度:结果:两种疾病的[α]多样性都出现了类似的改变模式,其特点是肠道细菌(即细菌/古生菌)多样性显著减少,而真菌[α]多样性同时增加。特定的细菌类群以及不同的真菌生物群能够区分不同的疾病。对这些类群的共丰度网络分析通过综合元网络分析进行了验证,发现了一个 "疾病缺失 "模块,在多个队列中保持一致,该模块的 75% 以上构成了印度肠道微生物组的核心。CGMS对印度和国际队列中不同阶段肠道炎症性疾病的核心微生物组损失进行了可靠评估:结论:有害细菌的特定疾病增殖是肠道菌群失调的重要组成部分,而核心微生物群的丧失则是导致各种消化道疾病的共同现象。
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来源期刊
Gut Pathogens
Gut Pathogens GASTROENTEROLOGY & HEPATOLOGY-MICROBIOLOGY
CiteScore
7.70
自引率
2.40%
发文量
43
期刊介绍: Gut Pathogens is a fast publishing, inclusive and prominent international journal which recognizes the need for a publishing platform uniquely tailored to reflect the full breadth of research in the biology and medicine of pathogens, commensals and functional microbiota of the gut. The journal publishes basic, clinical and cutting-edge research on all aspects of the above mentioned organisms including probiotic bacteria and yeasts and their products. The scope also covers the related ecology, molecular genetics, physiology and epidemiology of these microbes. The journal actively invites timely reports on the novel aspects of genomics, metagenomics, microbiota profiling and systems biology. Gut Pathogens will also consider, at the discretion of the editors, descriptive studies identifying a new genome sequence of a gut microbe or a series of related microbes (such as those obtained from new hosts, niches, settings, outbreaks and epidemics) and those obtained from single or multiple hosts at one or different time points (chronological evolution).
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