The neurobiology of irritable bowel syndrome.

The neurobiology of irritable bowel syndrome.
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DOI:
10.1038/s41380-023-01972-w
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发表时间:
2023-04
影响因子:
11
通讯作者:
Bhatt, Ravi R.
Bhatt, Ravi R.
中科院分区:
医学1区
文献类型:
--
作者:
Mayer, Emeran A.;Ryu, Hyo Jin;Bhatt, Ravi R.

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肠易激综合征(IBS)是最常见的脑-肠相互作用的疾病,影响全球5%至10%的普通人群。目前的症状标准将诊断限制在与排便习惯改变相关的复发性腹痛,但大多数患者也报告非疼痛性腹部不适,相关的精神疾病(焦虑和抑郁),以及其他内脏和躯体疼痛相关症状。几十年来,IBS被认为是一种肠道运动障碍,最近被认为是一种肠道疾病。然而,基于大量关于IBS症状病理生理学中涉及的中枢、外周机制和遗传因素的报道信息,已经出现了脑-肠-微生物组相互作用的综合疾病模型,可以解释排便习惯改变、慢性腹痛和精神共病。在这篇综述中,我们将首先描述对脑-肠道微生物组相互作用的几个关键组成部分的新见解,从肠道连接体和肠神经系统的报告改变开始,以及一系列不同的功能和结构大脑特征,并将它们与焦虑症中提出的大脑改变进行比较。然后,我们将指出大脑网络与基因组,胃肠道,免疫和肠道微生物组相关参数之间的相关性。我们将把这些新的信息纳入一个基于系统的IBS疾病模型。最后,我们将讨论这样一个模型的影响,以提高对疾病的理解和更有效的治疗方法在未来的发展。
Irritable bowel syndrome (IBS) is the most prevalent disorder of brain-gut interactions that affects between 5 and 10% of the general population worldwide. The current symptom criteria restrict the diagnosis to recurrent abdominal pain associated with altered bowel habits, but the majority of patients also report non-painful abdominal discomfort, associated psychiatric conditions (anxiety and depression), as well as other visceral and somatic pain-related symptoms. For decades, IBS was considered an intestinal motility disorder, and more recently a gut disorder. However, based on an extensive body of reported information about central, peripheral mechanisms and genetic factors involved in the pathophysiology of IBS symptoms, a comprehensive disease model of brain-gut-microbiome interactions has emerged, which can explain altered bowel habits, chronic abdominal pain, and psychiatric comorbidities. In this review, we will first describe novel insights into several key components of brain-gut microbiome interactions, starting with reported alterations in the gut connectome and enteric nervous system, and a list of distinct functional and structural brain signatures, and comparing them to the proposed brain alterations in anxiety disorders. We will then point out the emerging correlations between the brain networks with the genomic, gastrointestinal, immune, and gut microbiome-related parameters. We will incorporate this new information into a systems-based disease model of IBS. Finally, we will discuss the implications of such a model for the improved understanding of the disorder and the development of more effective treatment approaches in the future.
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