Gut Microbiota Dysbiosis: Pathogenesis, Diseases, Prevention, and Therapy

IF 10.7 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
MedComm Pub Date : 2025-04-18 DOI:10.1002/mco2.70168
Yao Shen, Nairui Fan, Shu-xia Ma, Xin Cheng, Xuesong Yang, Guang Wang
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引用次数: 0

Abstract

Dysbiosis refers to the disruption of the gut microbiota balance and is the pathological basis of various diseases. The main pathogenic mechanisms include impaired intestinal mucosal barrier function, inflammation activation, immune dysregulation, and metabolic abnormalities. These mechanisms involve dysfunctions in the gut–brain axis, gut–liver axis, and others to cause broader effects. Although the association between diseases caused by dysbiosis has been extensively studied, many questions remain regarding the specific pathogenic mechanisms and treatment strategies. This review begins by examining the causes of gut microbiota dysbiosis and summarizes the potential mechanisms of representative diseases caused by microbiota imbalance. It integrates clinical evidence to explore preventive and therapeutic strategies targeting gut microbiota dysregulation, emphasizing the importance of understanding gut microbiota dysbiosis. Finally, we summarized the development of artificial intelligence (AI) in the gut microbiota research and suggested that it will play a critical role in future studies on gut dysbiosis. The research combining multiomics technologies and AI will further uncover the complex mechanisms of gut microbiota dysbiosis. It will drive the development of personalized treatment strategies.

Abstract Image

肠道菌群失调:发病机制、疾病、预防和治疗
生态失调是指肠道菌群平衡被破坏,是多种疾病发生的病理基础。主要致病机制包括肠黏膜屏障功能受损、炎症激活、免疫失调和代谢异常。这些机制包括肠-脑轴、肠-肝轴和其他引起更广泛影响的功能障碍。虽然生态失调引起的疾病之间的关联已被广泛研究,但关于具体的致病机制和治疗策略仍存在许多问题。本文从研究肠道菌群失调的原因开始,总结了由菌群失调引起的代表性疾病的潜在机制。整合临床证据,探索针对肠道菌群失调的预防和治疗策略,强调了解肠道菌群失调的重要性。最后,总结了人工智能(AI)在肠道菌群研究中的进展,并指出AI将在未来肠道生态失调的研究中发挥重要作用。多组学技术与人工智能相结合的研究将进一步揭示肠道菌群失调的复杂机制。它将推动个性化治疗策略的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.70
自引率
0.00%
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审稿时长
10 weeks
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