
School of Medicine Publications and Presentations
Document Type
Article
Publication Date
3-4-2025
Abstract
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.
Recommended Citation
Hernandez, R., Garcia-Rodriguez, N. S., Arriaga, M. A., Perez, R., Bala, A. A., Leandro, A. C., ... & Galan, J. A. (2025). The hepatocellular model of fatty liver disease: from current imaging diagnostics to innovative proteomics technologies. Frontiers in Medicine, 12, 1513598. https://doi.org/10.3389/fmed.2025.1513598
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Frontiers in Medicine
DOI
10.3389/fmed.2025.1513598
Academic Level
faculty
Mentor/PI Department
Office of Human Genetics
Comments
© 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) and the copyright owner(s) 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.