Evidence map›Paper›PMID 41861675›Full record

ArticleJHEP reports : innovation in hepatology2026

Liver sinusoidal endothelial TGF-β signaling accelerates partial endothelial-mesenchymal transition and MASH through Notch.

Zhen Yang, Qiu-Ting Li, Zhen-Sheng Yue, Zhi-Wen Li, Peng Zou, Yu-Wei Ling, Hao Xu, Ming Xu, Fei He, Juan-Li Duan and 1 more

Abstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Zhen YangDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China; Department of General Surgery, The Air Force Hospital of Northern Theater PLA, Shenyang, 110042, China.
Qiu-Ting LiDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Zhen-Sheng YueDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Zhi-Wen LiDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Peng ZouDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Yu-Wei LingDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Hao XuDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Ming XuDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
Fei HeDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. Electronic address: hefei_hefei@163.com.
Juan-Li DuanDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. Electronic address: duan_juan_li@126.com.
Lin WangDepartment of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China. Electronic address: fierywang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsAs the global prevalence of obesity continues to rise, metabolic dysfunction-associated steatohepatitis (MASH) has emerged as a significant burden on healthcare systems worldwide. Liver sinusoidal endothelial cells (LSECs) are recognized as crucial regulators of hepatic homeostasis. However, their role in the progression of MASH remains poorly understood, particularly given their early capillarization during disease onset. In this study, we sought to investigate the specific role of LSECs in MASH progression and the underlying molecular mechanisms driving their dysfunction.

methodsWe analyzed single-cell RNA sequencing of the liver from advanced MASH mice (from 6 mice/condition) and conducted in vivo experiments using various LSEC-specific transgenic mouse models (n = 3-10 mice/condition). Primary LSECs (n = 3-6 mice/condition) and human umbilical vein endothelial cells (HUVECs) were used for in vitro experiments.

resultsUsing single-cell RNA sequencing data from MASH-affected livers, we identified a unique population of biphenotypic cells co-expressing markers of both LSECs and mesenchymal cells. Through lineage tracing in LSEC-specific reporter mice, we demonstrated that these biphenotypic cells arose from LSECs undergoing partial endothelial-mesenchymal transition (EndMT) in MASH (p <0.05-0.0001; n = 3 mice/condition, depending on the parameter). Mechanistically, we found that differentiation of these biphenotypic cells was regulated by TGF-β signaling. Inhibition of TGF-β signaling in LSECs suppressed partial EndMT and attenuated MASH progression (p <0.01-0.0001; n = 10 mice/condition). In addition, we discovered that Notch signaling in LSECs, which is activated in response to MASH, was positively regulated by TGF-β signaling and had a crucial role in both the generation of biphenotypic cells and MASH progression (p <0.01-0.0001; n = 3-10 samples/condition).

conclusionsOur findings reveal that a pathogenic TGF-β/Notch axis drives MASH progression by inducing partial EndMet in LSECs, thereby establishing LSEC-targeted intervention as a promising therapeutic strategy for this disease. IMPACT AND IMPLICATIONS: This study reveals a novel biphenotypic LSEC population generated via TGF-β-driven partial EndMT, establishing LSEC dysfunction as an active driver of MASH progression. By elucidating the TGF-β/Notch crosstalk in LSEC partial EndMT, our findings provide new mechanistic insights into MASH pathogenesis. Thus, these results highlight TGF-β signaling in LSECs as a promising therapeutic target. Future work should focus on LSEC-specific delivery systems and validation in cohorts of patients with MASH.

Indexed as

Endothelial dysfunctionLiver sinusoidal endothelial cellsMetabolic dysfunction-associated steatohepatitisSingle-cell RNA sequencingTGF-β signaling

Identifiers

PMID41861675
PMCPMC13019540

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.