微生物群失调对亨廷顿氏病(HD)免疫系统失调的影响。

International review of neurobiology Pub Date : 2025-01-01 Epub Date: 2025-05-02 DOI:10.1016/bs.irn.2025.04.002
Papia Acharjee, Shambhu Kumar Prasad, Vishal Vikram Singh, Mukulika Ray, Arup Acharjee
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引用次数: 0

摘要

亨廷顿氏病(HD)是一种神经退行性疾病,其特征是由亨廷顿蛋白(HTT)基因突变引起的运动、认知和精神障碍,导致亨廷顿蛋白(mHTT)突变。先天性免疫和适应性免疫在HD的发病机制中起着至关重要的作用。在本章中,我们探讨肠道微生物群在HD中的重要作用,强调其通过肠-脑轴对免疫反应和大脑健康的影响。生态失调通过短链脂肪酸(SCFAs)和病原体相关分子模式(PAMPs)等微生物代谢物影响免疫反应和HD发病机制。我们讨论先进的数学模型,远程医疗和生物传感器跟踪HD进展和检测肠道失调。恢复微生物群平衡的营养干预、利用人工智能和机器学习预测疾病预后和个性化治疗得到了强调。基于他们独特的免疫特征和肠道微生物群,个性化医疗被认为是一种有效治疗HD的有前途的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbiota dysbiosis impact on the immune system dysregulation in Huntington's disease (HD).

Huntington's disease (HD) is a neurodegenerative disorder characterized by motor, cognitive, and psychiatric impairments caused by Huntingtin (HTT) gene mutations, resulting in the mutant huntingtin (mHTT) protein. Both innate and adaptive immunities play crucial roles in the pathogenesis of HD. In this chapter, we explore the vital role of the gut microbiota in HD, emphasizing its impact on the immune response and brain health via the gut-brain axis. Dysbiosis influences immune responses and HD pathogenesis through microbial metabolites such as short-chain fatty acids (SCFAs) and pathogen-associated molecular patterns (PAMPs). We discuss advanced mathematical models, telemedicine, and biosensors for tracking HD progression and detecting gut dysbiosis. Nutritional interventions to restore microbiota balance and using artificial intelligence and machine learning to predict disease prognosis and personalized treatments have been highlighted. Based on their unique immune profiles and gut microbiota, personalized medicine has been proposed as a promising strategy for effective HD treatment.

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