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Interplay among gut microbiota, intestinal mucosal barrier and enteric neuro-immune system: a common path to neurodegenerative diseases?

肠神经系统 免疫系统 神经退行性变 肠-脑轴 疾病 肠道菌群 生物 神经炎症 肌萎缩侧索硬化 神经科学 多发性硬化 小肠细菌生长过度 帕金森病 免疫学 肠易激综合征 肠道通透性 医学 病理 内科学
作者
Carolina Pellegrini,Luca Antonioli,Rocchina Colucci,Corrado Blandizzi,Matteo Fornai
出处
期刊:Acta Neuropathologica [Springer Nature]
卷期号:136 (3): 345-361 被引量:161
标识
DOI:10.1007/s00401-018-1856-5
摘要

Neurological diseases, such as Parkinson’s disease, Alzheimer’s disease, amyotrophic lateral sclerosis (ALS) and multiple sclerosis, are often associated with functional gastrointestinal disorders. These gastrointestinal disturbances may occur at all stages of the neurodegenerative diseases, to such an extent that they are now considered an integral part of their clinical picture. Several lines of evidence support the contention that, in central neurodegenerative diseases, changes in gut microbiota and enteric neuro-immune system alterations could contribute to gastrointesinal dysfunctions as well as initiation and upward spreading of the neurologic disorder. The present review has been intended to provide a comprehensive overview of the available knowledge on the role played by enteric microbiota, mucosal immune system and enteric nervous system, considered as an integrated network, in the pathophysiology of the main neurological diseases known to be associated with intestinal disturbances. In addition, based on current human and pre-clinical evidence, our intent was to critically discuss whether changes in the dynamic interplay between gut microbiota, intestinal epithelial barrier and enteric neuro-immune system are a consequence of the central neurodegeneration or might represent the starting point of the neurodegenerative process. Special attention has been paid also to discuss whether alterations of the enteric bacterial-neuro-immune network could represent a common path driving the onset of the main neurodegenerative diseases, even though each disease displays its own distinct clinical features.
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