Evidence mapPaperPMID 42236744Full record

ArticleScientific reports2026

Profiling of extracellular vesicles from primary hepatocytes, organoids, and mash patients identifies cell injury-specific signatures.

Aleksandra Leszczynska, Benedikt Kaufmann, Hana Sung, Christian Stoess, Agustina Reca, Andrea Kim, Yeon-Kyung Choi, Chelsea Tran, Sung-Eun Kim, Davide Povero and 4 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Aleksandra LeszczynskaDepartment of Pediatrics, University of California, San Diego, USA. ALeszczynska@health.ucsd.edu.
Benedikt KaufmannDepartment of Pediatrics, University of California, San Diego, USA.
Hana SungDepartment of Pediatrics, University of California, San Diego, USA.
Christian StoessDepartment of Pediatrics, University of California, San Diego, USA.
Agustina RecaDepartment of Pediatrics, University of California, San Diego, USA.
Andrea KimDepartment of Pediatrics, University of California, San Diego, USA.
Yeon-Kyung ChoiDepartment of Pediatrics, University of California, San Diego, USA.
Chelsea TranDepartment of Pediatrics, University of California, San Diego, USA.
Sung-Eun KimDepartment of Pediatrics, University of California, San Diego, USA.
Davide PoveroDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Bruce WolfeDepartment of Surgery, Oregon Health and Science University, Portland, USA.
Trevor CraftsDepartment of Surgery, Oregon Health and Science University, Portland, USA.
Akiko EguchiDepartment of Gastroenterology and Hepatology, School of Medicine, Mie University, Mie, Japan. akieguchi@med.mie-u.ac.jp.
Ariel E FeldsteinDepartment of Pediatrics, University of California, San Diego, USA. afeldstein@health.ucsd.edu.

Funding

NIAAA NIH HHS 024206NIDDK NIH HHS 113592
6 · The paper itself

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

Extracellular VesiclesFatty LiverHepatocytesOrganoidsBiomarkersCells, CulturedFemaleHumansLiverMaleProteomicsBiomarkersExtracellular vesiclesMachine learningMetabolic dysfunction-associated steatohepatitis (MASH)Metabolic dysfunction-associated steatotic liver disease (MASLD)OrganoidsPrecision medicine

Identifiers

PMID42236744
PMCPMC13233857

What Socratic holds

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Registered trials

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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.