Evidence mapPaperPMID 41777553Full record

ArticleJHEP reports : innovation in hepatology2026

Sex-based multiomics analysis uncovers metabolic and molecular mediators linking MASH and atherosclerosis.

Sandeep Das, Sumit Kumar Anand, M Peyton McKinney, Koral S E Richard, Iqbal Mahmud, Sumati Rohilla, Fabio Arias, Alia Ghrayeb, Bo Wei, Lin Tan and 22 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 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

32 authors.

Sandeep DasDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Sumit Kumar AnandDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
M Peyton McKinneyDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Koral S E RichardDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Iqbal MahmudMetabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Sumati RohillaDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Fabio AriasDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Alia GhrayebDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Bo WeiMetabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Lin TanMetabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Zhipeng LiuDepartment of Medicinal Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, IN, 47907, USA.
Dhananjay KumarDepartment of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Alexandra C FinneyDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Nilesh PandeyDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Harpreet KaurDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Rajan PanditDepartment of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Xiaolu ZhangBioinformatics and Modeling Core, Department of Microbiology and Immunology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Cyrine Ben DhaouDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Sarah P ThayerDepartment of Surgery, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Babak RazaniDivision of Cardiology and Vascular Medicine Institute, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, PA, 15261, USA.
Bishuang CaiDepartment of Medicine, University of California, Los Angeles, 100 Medical Plaza #205, Los Angeles, CA, 90095, USA.
Fei ChangDepartment of Pharmacology & Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA.
Francisco J SchopferDepartment of Pharmacology & Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA.
Wanqing LiuDepartment of Pharmaceutical Sciences and Department of Pharmacology, Wayne State University, Detroit, MI, 48201, USA.
Edward A FisherDepartment of Cell Biology, NYU Grossman School of Medicine, NY, 10016, USA.
Sridhar RadhakrishnanResearch Diets, Inc., New Brunswick, NJ, 08901, USA.
Eyal GottliebDepartment of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX, 77054, USA.
A Wayne OrrDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Nirav DhaneshaDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Arif YurdagulDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.
Philip L LorenziMetabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Oren RomDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, LA, 71103, USA.

Funding

Role of oxidative stress in doxorubicin-induced cardiotoxicityP20GM121307 · NIGMS · LOUISIANA STATE UNIV HSC SHREVEPORT · 2022 to 2025
$6.5M
EphA2 regulation of atherosclerotic smooth muscle phenotypeR01HL173972 · LOUISIANA STATE UNIV HSC SHREVEPORT · 2025 to 2025
$719k
Lipidated Amino Acids in Cardiometabolic DiseasesR01DK134011 · LOUISIANA STATE UNIV HSC SHREVEPORT · 2025 to 2025
$430k
Dysregulated Oxalate Metabolism in Cardiometabolic DiseasesR01DK136685 · LOUISIANA STATE UNIV HSC SHREVEPORT · 2025 to 2025
$429k
NHLBI NIH HHS R00 HL150233NHLBI NIH HHS R01 HL133497NHLBI NIH HHS R01 HL173972NIDDK NIH HHS R01 DK134011NIDDK NIH HHS R01 DK136685NIGMS NIH HHS P20 GM121307
6 · The paper itself

Abstract

Background & Aims: Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death in patients with metabolic dysfunction-associated steatohepatitis (MASH). No therapy targets both diseases simultaneously, and a roadblock for discovering new treatments is the lack of animal models that recapitulate both diseases, especially in females. Methods: Male and female Results: While mCDHFD induced MASH-fibrosis in both sexes, WD was effective only in males, whereas mMASHD primarily affected females. mCDHFD induced concurrent MASH and atherosclerosis in both sexes, while WD effectively recapitulated disease co-occurrence only in males. Correlation analyses highlighted links between MASH and atherosclerosis, identifying circulating cholesterol and C-C motif chemokine ligand 2 (CCL2) as potential predictors of coexisting disease ( Conclusion: This sex-based multiomics analysis establishes a murine model of concurrent MASH and atherosclerosis, reveals sex-specific dietary responses, and identifies metabolic and transcriptional pathways with potential utility as biomarkers and therapeutic targets. Impact and implications: This study addresses the critical need for an animal model that replicates both metabolic dysfunction-associated steatohepatitis (MASH) and atherosclerotic cardiovascular disease, particularly in females, to facilitate therapeutic development. Using male and female

Indexed as

Animal modelsAtherosclerotic cardiovascular diseaseMASHMASLDMetabolomicsTranscriptomics

Identifiers

PMID41777553
PMCPMC12950431

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.