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肠-脑轴、神经退行性变与心理健康:个性化医疗视角

Gut-Brain Axis, Neurodegeneration and Mental Health: A Personalized Medicine Perspective.

作者信息

Chunduri Alisha, Reddy S Deepak Mohan, Jahanavi M, Reddy C Nagendranatha

机构信息

Department of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana 500075 India.

出版信息

Indian J Microbiol. 2022 Dec;62(4):505-515. doi: 10.1007/s12088-022-01033-w. Epub 2022 Aug 10.

DOI:10.1007/s12088-022-01033-w
PMID:36458229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9705676/
Abstract

Neurological conditions such as neurodegenerative diseases and mental health disorders are a result of multifactorial underpinnings, leading to individual-based complex phenotypes. Demystification of these multifactorial connections will promote disease diagnosis and treatment. Personalized treatment rather than a one-size-fits-all approach would enable us to cater to the unmet healthcare needs based on protein-protein and gene-environment interactions. Gut-brain axis, as the name suggests, is a two-way biochemical communication pathway between the central nervous system (CNS) and enteric nervous system (ENS), enabling a mutual influence between brain and peripheral intestinal functions. The gut microbiota is a major component of this bidirectional communication, the composition of which is varied depending on the age, and disease conditions, among other factors. Gut microbiota profile is typically unique and personalized therapeutic intervention can aid in treating or delaying neurodegeneration and mental health conditions. Besides, research on the gut microbial influence on these conditions is gaining attention, and a better understanding of this concept can lead to identification of novel targeted therapies.

摘要

神经退行性疾病和精神健康障碍等神经系统疾病是由多因素基础导致的,会产生基于个体的复杂表型。揭开这些多因素联系的神秘面纱将促进疾病的诊断和治疗。个性化治疗而非一刀切的方法将使我们能够根据蛋白质-蛋白质和基因-环境相互作用来满足未得到满足的医疗保健需求。顾名思义,肠-脑轴是中枢神经系统(CNS)和肠神经系统(ENS)之间的双向生化通信途径,使大脑和外周肠道功能之间能够相互影响。肠道微生物群是这种双向通信的主要组成部分,其组成会因年龄、疾病状况等因素而有所不同。肠道微生物群谱通常是独特的,个性化治疗干预有助于治疗或延缓神经退行性变和精神健康状况。此外,关于肠道微生物对这些疾病影响的研究越来越受到关注,更好地理解这一概念可以导致识别新的靶向治疗方法。

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