ArticleScientific reports2026
Profiling of extracellular vesicles from primary hepatocytes, organoids, and mash patients identifies cell injury-specific signatures.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Metabolic Dysfunction-Associated Steatohepatitis (MASH) is a severe form of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), traditionally diagnosed via invasive biopsy, underscoring the need for non-invasive alternatives. This study identifies biologically relevant extracellular vesicle (EV) protein signatures associated with MASH using patient serum, primary human hepatocytes (PHH), and human liver organoids (HLO). These complementary models capture distinct aspects of disease progression-circulating EV profiles in patients, hepatic cellular responses in PHH, and multicellular interactions in HLO-providing a comprehensive view of MASH pathophysiology. Using aptamer-based technology, we assayed 6596 proteins from 38 individuals with histological confirmed MASLD and in vitro models. EVs were characterized using nano-flow cytometry, ExoView, and high-resolution microscopy (ONI), with liver-specific markers confirming their origin. Key proteins, including SLC27A5, HP, and CXCL7, were elevated in patient samples, while PHH and HLO models exhibited upregulation of ASGPR1, HP, and CXCL7 under MASH conditions. Proteomic analysis revealed shared pathways across models, with machine learning models achieving AUROC values of 0.97, supporting the diagnostic potential of these protein signatures. This integrative approach advances MASH biomarker discovery by linking localized liver dysfunction with systemic disease mechanisms. These findings highlight clinically relevant EV protein signatures that support the development of non-invasive diagnostics and personalized treatment strategies, including prediction of outcomes for bariatric surgery patients.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.