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REVIEW article

Front. Med.
Sec. Hepatobiliary Diseases
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1513598
This article is part of the Research Topic (Epi)Genetic Alterations and Their Physiological Consequences in Metabolic Dysfunction-associated Steatotic Liver Disease: A Crucial Step Towards Precision Medicine in MASLD View all articles

The Hepatocellular Model of Fatty Liver Disease: From Current Imaging Diagnostics to Innovative Proteomics Technologies

Provisionally accepted
Renee Hernandez Renee Hernandez Natasha S Garcia-Rodriguez Natasha S Garcia-Rodriguez Marco A Arriaga Marco A Arriaga Ricardo Perez Ricardo Perez AUWAL ADAM BALA AUWAL ADAM BALA Ana Cristina CS Leandro Ana Cristina CS Leandro Vincent P Diego Vincent P Diego Marcio Almeida Marcio Almeida Jason Parsons Jason Parsons Eron Grant Manusov Eron Grant Manusov *Jacob Galan Jacob Galan
  • The University of Texas Rio Grande Valley, Edinburg, United States

The final, formatted version of the article will be published soon.

    Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a prevalent chronic liver condition characterized by lipid accumulation and inflammation, often progressing to severe liver damage. We aim to review the pathophysiology, diagnostics, and clinical care of MASLD, and review highlights of advances in proteomic technologies. Recent advances in proteomics technologies have improved the identification of novel biomarkers and therapeutic targets, offering insight into the molecular mechanisms underlying MASLD progression. We focus on the application of mass spectrometry-based proteomics including single cell proteomics, proteogenomics, extracellular vesicle (EV-omics), and exposomics for biomarker discovery, emphasizing the potential of blood-based panels for noninvasive diagnosis and personalized medicine. Future research directions are presented to develop targeted therapies and improve clinical outcomes for MASLD patients.

    Keywords: MASLD, MASH, Proteomics, Exposomics, single-cell, proteogenomics

    Received: 18 Oct 2024; Accepted: 06 Feb 2025.

    Copyright: © 2025 Hernandez, Garcia-Rodriguez, Arriaga, Perez, BALA, Leandro, Diego, Almeida, Parsons, Manusov and Galan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Eron Grant Manusov, The University of Texas Rio Grande Valley, Edinburg, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.