Evidence map›Paper›PMID 38195587›Full record

ArticleBiomarker research2024

Phenotypic and metabolomic characteristics of mouse models of metabolic associated steatohepatitis.

Cian-Ru Yang, Wen-Jen Lin, Pei-Chun Shen, Pei-Yin Liao, Yuan-Chang Dai, Yao-Ching Hung, Hsueh-Chou Lai, Shiraz Mehmood, Wei-Chung Cheng, Wen-Lung Ma

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Article in Biomarker research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  5. Mediation analysis of the molecular phenotypes in a severe MASH-like liver injury mouse model.Toxicological sciences : an official journal of the Society of Toxicology · 2025
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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

10 authors at 4 institutions in 1 country.

Cian-Ru YangProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan.
Wen-Jen LinProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan.
Pei-Chun ShenProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan.
Pei-Yin LiaoProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan.
Yuan-Chang DaiDepartment of Pathology, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi City, Taiwan.
Yao-Ching HungDepartment of Gynecology and Obstetrics, Asia University Hospital, Taichung, Taiwan.
Hsueh-Chou LaiGraduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan.
Shiraz MehmoodProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan.
Wei-Chung ChengProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan. cwc0702@gmail.com.
Wen-Lung MaProgram for Health Science and Industry, Graduate Institute of Biomedical Sciences, and Department of Medicine, and Tumor Biology Center, School of Medicine, China Medical University, Taichung, Taiwan. maverick@mail.cmu.edu.tw.
China Medical University · TWChina Medical University Hospital · TWAsia University · TWChia-Yi Christian Hospital · TW

Funding

Asia University Hospital AUH-11151021China Medical University Hospital DMR-110-025China Medical University, Taiwan CMU109-MF-26China Medical University, Taiwan CMU111-MF-41Ministry of Science and Technology, Taiwan MOST 110-2314-B-039-046Ministry of Science and Technology, Taiwan MOST 111-2314-B-039-062-MY3Ministry of Science and Technology, Taiwan MOST 111-2320-B-039-011National Health Research Institutes NHRI-EX112-11110BINational Science and Technology Council NSTC 111-2622-B-039-004National Science and Technology Council NSTC 112-2320-B-039-005
6 · The paper itself

Abstract

backgroundMetabolic associated steatohepatitis (MASH) is metabolic disease that may progress to cirrhosis and hepatocellular carcinoma. Mouse models of diet-induced MASH, which is characterized by the high levels of fats, sugars, and cholesterol in diets, are commonly used in research. However, mouse models accurately reflecting the progression of MASH in humans remain to be established. Studies have explored the potential use of serological metabolites as biomarkers of MASH severity in relation to human MASH.

methodsWe performed a comparative analysis of three mouse models of diet-induced MASH in terms of phenotypic and metabolomic characteristics; MASH was induced using different diets: a high-fat diet; a Western diet; and a high-fat, high-cholesterol diet. Liver cirrhosis was diagnosed using standard clinical approaches (e.g., METAVIR score, hyaluronan level, and collagen deposition level). Mouse serum samples were subjected to nuclear magnetic resonance spectroscopy-based metabolomic profiling followed by bioinformatic analyses. Metabolomic analysis of a retrospective cohort of patients with hepatocellular carcinoma was performed; the corresponding cirrhosis scores were also evaluated.

resultsUsing clinically relevant quantitative diagnostic methods, the severity of MASH was evaluated. Regarding metabolomics, the number of lipoprotein metabolites increased with both diet and MASH progression. Notably, the levels of very low-density lipoprotein (VLDL) and low-density lipoprotein (LDL) significantly increased with fibrosis progression. During the development of diet-induced MASH in mice, the strongest upregulation of expression was noted for VLDL receptor. Metabolomic analysis of a retrospective cohort of patients with cirrhosis indicated lipoproteins (e.g., VLDL and LDL) as predominant biomarkers of cirrhosis.

conclusionsOur findings provide insight into the pathophysiology and metabolomics of experimental MASH and its relevance to human MASH. The observed upregulation of lipoprotein expression reveals a feedforward mechanism for MASH development that may be targeted for the development of noninvasive diagnosis.

Indexed as

LipoproteinMetabolic associated steatohepatitisMetabolome

Identifiers

PMID38195587
PMCPMC10777576
OpenAlexW4390727596

What OpenQuestion 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 OpenQuestion graph.