酒精相关器官损伤中的微生物群

IF 4.7 2区 医学 Q1 PATHOLOGY
Aenne Harberts, Bernd Schnabl
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引用次数: 0

摘要

酒精相关的器官损害是世界范围内发病率和死亡率的主要原因,肝脏是主要受影响的器官。新出现的证据强调肠道微生物群是酒精相关肝病的关键驱动因素。微生物群组成的变化、微生物易位和失调的免疫反应最终导致炎症和组织损伤。持续肝损伤最终促进疾病进展,从脂肪性肝炎到纤维化和肝硬化。在这篇综述中,我们概述了在慢性饮酒患者中观察到的微生物群改变,并探讨了微生物群在不同器官系统中导致酒精相关损伤的机制。重点放在肠道微生物群的变化及其在酒精相关性肝病中的作用上,酒精相关性肝病是将微生物群相关变化与器官损伤联系在一起的最有力证据。此外,我们强调了需要进一步研究以解决未解决问题的关键领域。最后,我们讨论了针对微生物群治疗酒精使用障碍和预防酒精相关肝脏疾病的新兴治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbiota in Alcohol-Associated Organ Damage.

Alcohol-associated organ damage is a major cause of morbidity and mortality worldwide, with the liver being the primarily affected organ. Emerging evidence highlights the gut microbiota as a key driver in alcohol-associated liver disease. Changes in the microbiota composition, microbial translocation, and a dysregulated immune response culminate in inflammation and tissue injury. Persistent liver injury eventually promotes disease progression from steatohepatitis to fibrosis and cirrhosis. In this review, an overview of microbiota alterations observed in patients with chronic alcohol consumption is provided and the mechanisms by which microbiota contributes to alcohol-associated damage across various organ systems are explored. Emphasis is placed on changes in the gut microbiota and its role in alcohol-associated liver disease, the disease condition with the most robust evidence linking microbiota-related changes to organ injury. Additionally, key areas where further research is needed to address unresolved questions are highlighted. Finally, emerging therapeutic strategies targeting the microbiota to treat alcohol use disorders and prevent alcohol-associated liver diseases are discussed.

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来源期刊
CiteScore
11.40
自引率
0.00%
发文量
178
审稿时长
30 days
期刊介绍: The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.
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