Plasma Extracellular Vesicles Contain Protein Biomarkers for Capturing Stages of Metabolic Dysfunction-Associated Steatotic Liver Disease: A Preliminary Exploratory Study
Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing in both prevalence and severity, highlighting the need for non-invasive biomarkers to assess disease activity. Extracellular vesicles (EVs), which carry molecular cargo from their cells of origin, hold promise as accessible biomarkers. We performed proteomic profiling of plasma-derived EVs from 70 patients with MASLD to identify protein signatures associated with key histological features (steatosis, metabolic dysfunction-associated steatohepatitis (MASH), and fibrosis). These proteins were subsequently correlated with magnetic resonance (MR)-based liver imaging. Plasma EV protein profile differed between mild (S1) and advanced steatosis (S3). H4C1, OIT3, and ANPEP were elevated in S3, while CCDC25 and KLHL41 were decreased (|log<sub>2</sub> fold change| > 1, <i>p</i> < 0.05). KLHL41 had a weak-to-moderate correlation with proton density fat fraction (PDFF) (R = -0.34, <i>p</i> = 0.016). GP1BA was upregulated in MASH (log<sub>2</sub> fold change = 1.13, <i>p</i> = 0.03) but showed weak correlation with cT1, an imaging parameter for steatohepatitis (R = 0.22, <i>p</i> = 0.173). In fibrosis, complement component 7 (C7) was elevated in advanced (≥F3) vs. mild fibrosis (<F2) (log<sub>2</sub> fold change = 0.95, adjusted <i>p</i> = 0.002) and correlated with MR elastography-derived liver stiffness (R = 0.38, <i>p</i> = 0.004). The AUC of C7 for differentiating <F2 vs. ≥F2 and <F3 vs. ≥F3 was 0.80 (95% CI: 0.69-0.91) and 0.83 (95% CI: 0.72-0.93), respectively. In conclusion, plasma EVs contain distinct protein signatures associated with steatosis, steatohepatitis, and fibrosis in MASLD. These preliminary findings support the potential utility of plasma EVs as non-invasive biomarkers and provide insights into disease pathophysiology. However, further validation in larger, independent cohorts is necessary to confirm these associations and establish their clinical relevance.
Authors
- Hans Blokzijl (ORCID: https://orcid.org/0000-0003-4240-7506)
- Sandra Serna Salas (ORCID: https://orcid.org/0000-0002-7116-5844)
- Robin P. F. Dullaart (ORCID: https://orcid.org/0000-0002-3844-5254)
- Han Moshage (ORCID: https://orcid.org/0000-0002-4764-0246)
- Anne‐Marieke van Dijk (ORCID: https://orcid.org/0000-0003-0831-527X)
- Anne Linde Mak (ORCID: https://orcid.org/0000-0002-2101-161X)
- Joanne Verheij (ORCID: https://orcid.org/0000-0003-1283-630X)
- Stan Driessen (ORCID: https://orcid.org/0000-0003-1485-9732)
- Koen C. van Son (ORCID: https://orcid.org/0000-0001-8329-3715)
- Julia J. Witjes (ORCID: https://orcid.org/0000-0002-3622-8731)
- Diona Zwirs
- Nienke Wassenaar (ORCID: https://orcid.org/0000-0002-3668-944X)
- Adriaan Georgius Holleboom (ORCID: https://orcid.org/0000-0002-2911-2917)
- Justina C. Wolters (ORCID: https://orcid.org/0000-0003-0066-3720)
- Veera Houttu (ORCID: https://orcid.org/0000-0002-6430-7007)
- Yakun Li (ORCID: https://orcid.org/0009-0001-8717-6476)
- Michail Doukas (ORCID: https://orcid.org/0000-0002-8611-840X)
Institutions
- University Medical Center Groningen (NL)
- Erasmus MC (NL)
- Amsterdam Neuroscience (NL)
- Amsterdam University Medical Centers (NL)
- University of Amsterdam (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Biomolecules
- Published
- 2025-11-14
- DOI
- https://doi.org/10.3390/biom15111596
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00