Burhan Yokus, Luca Maccioni, Lihong Fu, György Haskó, Laura E Nagy, Bin Gao, Pal Pacher
{"title":"The Link between Alcohol Consumption and Kidney Injury.","authors":"Burhan Yokus, Luca Maccioni, Lihong Fu, György Haskó, Laura E Nagy, Bin Gao, Pal Pacher","doi":"10.1016/j.ajpath.2025.05.011","DOIUrl":null,"url":null,"abstract":"<p><p>Alcohol consumption contributes to systemic organ dysfunction, but its direct effect on kidney health is unclear. Epidemiologic studies have shown inconsistent findings due to a reliance on conventional markers, such as serum creatinine and blood urea nitrogen, which are insensitive to early chronic kidney disease and influenced by factors such as muscle mass, diet, and hydration status. Experimental studies have indicated that alcohol may directly exacerbate renal damage through mitochondrial dysfunction, oxidative stress, and inflammation. Furthermore, indirect effects from alcohol-induced altered intestinal permeability and microbiome, liver injury, microcirculatory/cardiac dysfunction and muscle damage may also facilitate kidney damage. Notably, alcohol-related liver disease can lead to hepatorenal syndrome, a severe type of kidney dysfunction driven by circulatory disturbances and systemic inflammation. This overview explores the adverse effects of alcohol misuse on kidney health and disease, emphasizing the need for comprehensive epidemiologic studies with more sensitive kidney injury biomarkers. It also highlights the importance of using clinically relevant preclinical models to clarify the underlying mechanisms of alcohol-related kidney injury and to enhance the understanding of its long-term clinical consequences.</p>","PeriodicalId":7623,"journal":{"name":"American Journal of Pathology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Pathology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ajpath.2025.05.011","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Alcohol consumption contributes to systemic organ dysfunction, but its direct effect on kidney health is unclear. Epidemiologic studies have shown inconsistent findings due to a reliance on conventional markers, such as serum creatinine and blood urea nitrogen, which are insensitive to early chronic kidney disease and influenced by factors such as muscle mass, diet, and hydration status. Experimental studies have indicated that alcohol may directly exacerbate renal damage through mitochondrial dysfunction, oxidative stress, and inflammation. Furthermore, indirect effects from alcohol-induced altered intestinal permeability and microbiome, liver injury, microcirculatory/cardiac dysfunction and muscle damage may also facilitate kidney damage. Notably, alcohol-related liver disease can lead to hepatorenal syndrome, a severe type of kidney dysfunction driven by circulatory disturbances and systemic inflammation. This overview explores the adverse effects of alcohol misuse on kidney health and disease, emphasizing the need for comprehensive epidemiologic studies with more sensitive kidney injury biomarkers. It also highlights the importance of using clinically relevant preclinical models to clarify the underlying mechanisms of alcohol-related kidney injury and to enhance the understanding of its long-term clinical consequences.
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.