Evidence map›Paper›PMID 32428001›Full record

ArticlePLoS genetics2020

Sex-biased genetic programs in liver metabolism and liver fibrosis are controlled by EZH1 and EZH2.

Dana Lau-Corona, Woo Kyun Bae, Lothar Hennighausen, David J Waxman

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.7field-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

47 citing papers in PubMed, 69 citations in OpenAlex.

  1. Sexual dimorphism in the liver.Nature reviews. Gastroenterology & hepatology · 2026
    Review
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  13. Determinants of abnormal liver-related biomarkers in adult COVID-19 patients.Frontiers in cellular and infection microbiology · 2025
    Article
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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

4 authors at 3 institutions in 2 countries.

Dana Lau-CoronaDepartment of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America.ORCID 0000-0002-8743-6346
Woo Kyun BaeLaboratory of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.ORCID 0000-0003-0267-1943
Lothar HennighausenLaboratory of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.ORCID 0000-0001-8319-9841
David J WaxmanDepartment of Biology and Bioinformatics Program, Boston University, Boston, Massachusetts, United States of America.ORCID 0000-0001-7982-9206
Boston University · USChonnam National University · KRNational Institutes of Health · US

Funding

Genetic Approaches To Understanding Organ Development and FunctionZIADK061000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HENNIGHAUSEN, LOTHAR · 2009 to 2025
$24.7M
Regulation of Sex Differences in Liver MetabolismR01DK033765 · NIDDK · DANA-FARBER CANCER INSTITUTE · PI WAXMAN, DAVID J · 1986 to 2017
$8.7M
Growth Hormone Regulation of Sex Differences in Liver MetabolismR01DK121998 · NIDDK · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WAXMAN, DAVID J · 2019 to 2023
$2.5M
Regulation of sex differences in liver metabolismR56DK033765 · NIDDK · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI WAXMAN, DAVID J · 2018 to 2018
$206k
NIDDK NIH HHS R01 DK033765NIDDK NIH HHS R01 DK121998NIDDK NIH HHS R56 DK033765
6 · The paper itself

Abstract

Sex differences in the incidence and progression of many liver diseases, including liver fibrosis and hepatocellular carcinoma, are associated with sex-biased hepatic expression of hundreds of genes. This sexual dimorphism is largely determined by the sex-specific pattern of pituitary growth hormone secretion, which controls a transcriptional regulatory network operative in the context of sex-biased and growth hormone-regulated chromatin states. Histone H3K27-trimethylation yields a major sex-biased repressive chromatin mark deposited at many strongly female-biased genes in male mouse liver, but not at male-biased genes in female liver, and is catalyzed by polycomb repressive complex-2 through its homologous catalytic subunits, Ezh1 and Ezh2. Here, we used Ezh1-knockout mice with a hepatocyte-specific knockout of Ezh2 to investigate the sex bias of liver H3K27-trimethylation and its functional role in regulating sex-differences in the liver. Combined hepatic Ezh1/Ezh2 deficiency led to a significant loss of sex-biased gene expression, particularly in male liver, where many female-biased genes were increased in expression while male-biased genes showed decreased expression. The associated loss of H3K27me3 marks, and increases in the active enhancer marks H3K27ac and H3K4me1, were also more pronounced in male liver. Further, Ezh1/Ezh2 deficiency in male liver, and to a lesser extent in female liver, led to up regulation of many genes linked to liver fibrosis and liver cancer, which may contribute to the observed liver pathologies and the increased sensitivity of these mice to hepatotoxin exposure. Thus, Ezh1/Ezh2-catalyzed H3K27-trimethyation regulates sex-dependent genetic programs in liver metabolism and liver fibrosis through its sex-dependent effects on the epigenome, and may thereby determine the sex-bias in liver disease susceptibility.

Indexed as

AnimalsDisease Models, AnimalEnhancer of Zeste Homolog 2 ProteinFemaleGene Expression ProfilingGene Expression RegulationGene Knockout TechniquesHistonesLiverLiver CirrhosisMaleMethylationMicePolycomb Repressive Complex 2Sequence Analysis, RNASex CharacteristicsEnhancer of Zeste Homolog 2 ProteinEzh1 protein, mouseEzh2 protein, mouseHistonesPolycomb Repressive Complex 2

Identifiers

PMID32428001
PMCPMC7263639
OpenAlexW3027202411

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.