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通过组学技术解析代谢功能障碍相关脂肪性肝病

Unraveling Metabolic Dysfunction-Associated Steatotic Liver Disease Through the Use of Omics Technologies.

作者信息

Bourganou Maria V, Chondrogianni Maria Eleni, Kyrou Ioannis, Flessa Christina-Maria, Chatzigeorgiou Antonios, Oikonomou Evangelos, Lambadiari Vaia, Randeva Harpal S, Kassi Eva

机构信息

Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece.

Endocrine Unit, 1st Department of Propaedeutic Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.

出版信息

Int J Mol Sci. 2025 Feb 13;26(4):1589. doi: 10.3390/ijms26041589.

Abstract

Non-alcoholic fatty liver disease (NAFLD), now referred to as metabolic dysfunction-associated steatotic liver disease (MASLD), is the most prevalent liver disorder globally, linked to obesity, type 2 diabetes, and cardiovascular risk. Understanding its potential progression from simple steatosis to cirrhosis and hepatocellular carcinoma (HCC) is crucial for patient management and treatment strategies. The disease's complexity requires innovative approaches for early detection and personalized care. Omics technologies-such as genomics, transcriptomics, proteomics, metabolomics, and exposomics-are revolutionizing the study of MASLD. These high-throughput techniques allow for a deeper exploration of the molecular mechanisms driving disease progression. Genomics can identify genetic predispositions, whilst transcriptomics and proteomics reveal changes in gene expression and protein profiles during disease evolution. Metabolomics offers insights into the metabolic alterations associated with MASLD, while exposomics links environmental exposures to MASLD progression and pathology. By integrating data from various omics platforms, researchers can map out the intricate biochemical pathways involved in liver disease progression. This review discusses the roles of omics technologies in enhancing the understanding of disease progression and highlights potential diagnostic and therapeutic targets within the MASLD spectrum, emphasizing the need for non-invasive tools in disease staging and treatment development.

摘要

非酒精性脂肪性肝病(NAFLD),现称为代谢功能障碍相关脂肪性肝病(MASLD),是全球最普遍的肝脏疾病,与肥胖、2型糖尿病和心血管风险相关。了解其从单纯性脂肪变性发展为肝硬化和肝细胞癌(HCC)的潜在过程,对于患者管理和治疗策略至关重要。该疾病的复杂性需要创新方法来进行早期检测和个性化护理。组学技术,如基因组学、转录组学、蛋白质组学、代谢组学和暴露组学,正在彻底改变对MASLD的研究。这些高通量技术能够更深入地探索驱动疾病进展的分子机制。基因组学可以识别遗传易感性,而转录组学和蛋白质组学则揭示疾病演变过程中基因表达和蛋白质谱的变化。代谢组学提供了与MASLD相关的代谢改变的见解,而暴露组学则将环境暴露与MASLD的进展和病理联系起来。通过整合来自各种组学平台的数据,研究人员可以描绘出参与肝脏疾病进展的复杂生化途径。本综述讨论了组学技术在增进对疾病进展理解方面的作用,并强调了MASLD范围内潜在的诊断和治疗靶点,强调了在疾病分期和治疗开发中使用非侵入性工具的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9eb/11855544/126fe4281fb7/ijms-26-01589-g001.jpg

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