{"title":"Unraveling Mechanisms of Genetic Risks in Metabolic Dysfunction-Associated Steatotic Liver Diseases: A Pathway to Precision Medicine.","authors":"Xiang Zhang, Kyong-Mi Chang, Jun Yu, Rohit Loomba","doi":"10.1146/annurev-pathmechdis-111523-023430","DOIUrl":null,"url":null,"abstract":"<p><p>Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health problem, affecting ∼1 billion people. This condition is well established to have a heritable component with strong familial clustering. With the extraordinary breakthroughs in genetic research techniques coupled with their application to large-scale biobanks, the field of genetics in MASLD has expanded rapidly. In this review, we summarize evidence regarding genetic predisposition to MASLD drawn from family and twin studies. Significantly, we delve into detailed genetic variations associated with diverse pathogenic mechanisms driving MASLD. We highlight the interplay between these genetic variants and their connections with metabolic factors, the gut microbiome, and metabolites, which collectively influence MASLD progression. These discoveries are paving the way for precise medicine, including noninvasive diagnostics and therapies. The promising landscape of novel genetically informed drug targets such as RNA interference is explored. Many of these therapies are currently under clinical validation, raising hopes for more effective MASLD treatment.</p>","PeriodicalId":50753,"journal":{"name":"Annual Review of Pathology-Mechanisms of Disease","volume":"20 1","pages":"375-403"},"PeriodicalIF":28.4000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Pathology-Mechanisms of Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1146/annurev-pathmechdis-111523-023430","RegionNum":1,"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
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health problem, affecting ∼1 billion people. This condition is well established to have a heritable component with strong familial clustering. With the extraordinary breakthroughs in genetic research techniques coupled with their application to large-scale biobanks, the field of genetics in MASLD has expanded rapidly. In this review, we summarize evidence regarding genetic predisposition to MASLD drawn from family and twin studies. Significantly, we delve into detailed genetic variations associated with diverse pathogenic mechanisms driving MASLD. We highlight the interplay between these genetic variants and their connections with metabolic factors, the gut microbiome, and metabolites, which collectively influence MASLD progression. These discoveries are paving the way for precise medicine, including noninvasive diagnostics and therapies. The promising landscape of novel genetically informed drug targets such as RNA interference is explored. Many of these therapies are currently under clinical validation, raising hopes for more effective MASLD treatment.
期刊介绍:
The Annual Review of Pathology: Mechanisms of Disease is a scholarly journal that has been published since 2006. Its primary focus is to provide a comprehensive overview of recent advancements in our knowledge of the causes and development of significant human diseases. The journal places particular emphasis on exploring the current and evolving concepts of disease pathogenesis, as well as the molecular genetic and morphological changes associated with various diseases. Additionally, the journal addresses the clinical significance of these findings.
In order to increase accessibility and promote the broad dissemination of research, the current volume of the journal has transitioned from a gated subscription model to an open access format. This change has been made possible through the Annual Reviews' Subscribe to Open program, which allows all articles published in this volume to be freely accessible to readers. As part of this transition, all articles in the journal are published under a Creative Commons Attribution (CC BY) license, which encourages open sharing and use of the research.