Evidence map›Paper›PMID 40348016›Full record

ArticleMolecular metabolism2025

Hepatic stellate cell-specific Kcnma1 deletion mitigates metabolic dysfunction-associated steatotic liver disease progression via upregulating Amphiregulin secretion.

Yunhan Zou, Jiaoxiang Wu, Sheng Cheng, Daqing Cheng, Taoying Chen, Xirong Guo, Li Tang, Xianbin Su, Man Zhang, Xin Zhang and 7 more

Abstract read
In one paragraph

Article in Molecular metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

17 authors.

Yunhan ZouHongqiao International Institute of Medicine, Tongren Hospital and Faculty of Basic Medicine, Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Jiaoxiang WuDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China; Key Laboratory for Translational Research and Innovative Therapeutics of Gastrointestinal Oncology, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Sheng ChengDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China; Key Laboratory for Translational Research and Innovative Therapeutics of Gastrointestinal Oncology, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Daqing ChengDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Taoying ChenSchool of Food Science and Engineering, Guiyang University, Guizhou, 550005, China.
Xirong GuoKey Laboratory for Translational Research and Innovative Therapeutics of Gastrointestinal Oncology, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Li TangRehabilitation Department, Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200336, China.
Xianbin SuKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
Man ZhangKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
Xin ZhangInstitute of Translational Medicine, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
Ying LiuClinical College of Traditional Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, China.
Jin ZhangDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Qun BaoDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China.
Shangwei HouKey Laboratory for Translational Research and Innovative Therapeutics of Gastrointestinal Oncology, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. Electronic address: shangweihou@hotmail.com.
Peng SunDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. Electronic address: SP2082@shtrhospital.com.
Yong LiHongqiao International Institute of Medicine, Tongren Hospital and Faculty of Basic Medicine, Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. Electronic address: liyong68@shsmu.edu.cn.
Bo HanDepartment of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China; Key Laboratory for Translational Research and Innovative Therapeutics of Gastrointestinal Oncology, Hongqiao International Institute of Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China. Electronic address: bhan@shsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health concern, with limited effective treatments. KCNMA1 potassium channel has been implicated in the pathogenesis of various metabolic diseases. However, whether and how KCNMA1 regulates MASLD have been elusive.

methodsGlobal, hepatic stellate cells (HSCs)-specific, and hepatocyte-specific Kcnma1 knockout mice were fed either a standard chow or a high-fat diet (HFD). Serum and liver tissues were collected and analyzed by biochemical assay, histology, qPCR and western blotting. HSCs conditioned medium (CM) treatment hepatocytes experiment model and three-dimensional (3D) hepatocytes-HSCs spheroids were employed to study lipid accumulation in hepatocytes. A Cytokine Antibody Array was used to analyze the cytokine profile.

resultsOur study demonstrated that global Kcnma1 deletion prevented diet-induced hepatic steatosis and improved insulin sensitivity. Further analyses using HSC-specific and hepatocyte-specific Kcnma1 knockout MASLD mouse models revealed that the protective effect against hepatic steatosis was predominantly mediated by Kcnma1 deletion in HSCs, rather than in hepatocytes. CM transfer experiment and 3D spheroid studies show Kcnma1 deletion effectively prevents lipid accumulation in hepatocytes. Mechanically, Kcnma1-deficient HSCs secrete Amphiregulin (AREG) to regulate lipid metabolism in hepatocytes via epidermal growth factor receptor (EGFR) signaling. Of clinical significance, AREG levels were notably reduced in the liver tissue of MASLD patients, while injection of recombinant AREG protein significantly ameliorated MASLD in mice.

conclusionsOur study uncovers a novel mechanism in which Kcnma1 deletion in HSCs enhances AREG secretion, thereby reducing lipid accumulation in hepatocytes through the AREG/EGFR signaling, ultimately inhibiting the progression of MASLD.

Indexed as

AmphiregulinFatty LiverHepatic Stellate CellsNon-alcoholic Fatty Liver DiseaseAnimalsDiet, High-FatDisease Models, AnimalDisease ProgressionHepatocytesHumansInsulin ResistanceLipid MetabolismLiverMaleMiceMice, Inbred C57BLAmphiregulinAreg protein, mouseAREGHSCsKCNMA1Lipid accumulationMASLD

Identifiers

PMID40348016
PMCPMC12143614

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.