Epigenetic Regulation of Manganese‐Induced Hepatotoxicity Uncovering Histone Demethylation‐Associated Gene Networks

Excessive manganese (Mn) exposure can result in significant liver toxicity in humans and animals. Histone demethylation, a crucial epigenetic modification, is believed to play a pivotal role in liver disease progression. However, the involvement of histone demethylation-associated genes in Mn-induced hepatotoxicity remains poorly understood. This study aimed to identify these genes related to Mn exposure. We analyzed gene expression data, which included liver samples treated with manganese chloride (MnCl<sub>2)</sub> and control samples. Our analysis revealed 351 differentially expressed genes (DEGs) on Day 3 and 494 DEGs on Day 5 in livers treated with 700 mg/kg MnCl<sub>2</sub>. Notably, we identified 24 overlapping histone demethylation-associated DEGs across both time points. Biological process analysis indicated that these DEGs are linked to organ regeneration, cell proliferation, responses to xenobiotic substances and toxins, bile transport, fatty acid metabolism, and posttranscriptional regulation. Pathway analysis identified associations with IL-17 signaling, cAMP pathways, chemical carcinogenesis, and parathyroid hormone synthesis and action. Furthermore, we highlighted several histone demethylation-associated hub genes, including CDKN1A, PPARA, CYP7A1, CAV1, GDF15, and GRP, implicated in Mn-induced hepatotoxicity.

Authors

Institutions

Publication Details

Journal
Journal of Biochemical and Molecular Toxicology
Published
2025-10-01
DOI
https://doi.org/10.1002/jbt.70556
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epigenetic Regulation of Manganese‐Induced Hepatotoxicity Uncovering Histone Demethylation‐Associated Gene Networks

Xiaofeng Li, Bing Yang
Journal of Biochemical and Molecular Toxicology
Epigenetics and DNA Methylation
article

Epigenetic Regulation of Manganese‐Induced Hepatotoxicity Uncovering Histone Demethylation‐Associated Gene Networks

Xiaofeng Li, Bing Yang
article en

Abstract

Excessive manganese (Mn) exposure can result in significant liver toxicity in humans and animals. Histone demethylation, a crucial epigenetic modification, is believed to play a pivotal role in liver disease progression. However, the involvement of histone demethylation-associated genes in Mn-induced hepatotoxicity remains poorly understood. This study aimed to identify these genes related to Mn exposure. We analyzed gene expression data, which included liver samples treated with manganese chloride (MnCl<sub>2)</sub> and control samples. Our analysis revealed 351 differentially expressed genes (DEGs) on Day 3 and 494 DEGs on Day 5 in livers treated with 700 mg/kg MnCl<sub>2</sub>. Notably, we identified 24 overlapping histone demethylation-associated DEGs across both time points. Biological process analysis indicated that these DEGs are linked to organ regeneration, cell proliferation, responses to xenobiotic substances and toxins, bile transport, fatty acid metabolism, and posttranscriptional regulation. Pathway analysis identified associations with IL-17 signaling, cAMP pathways, chemical carcinogenesis, and parathyroid hormone synthesis and action. Furthermore, we highlighted several histone demethylation-associated hub genes, including CDKN1A, PPARA, CYP7A1, CAV1, GDF15, and GRP, implicated in Mn-induced hepatotoxicity.

Journal of Biochemical and Molecular ToxicologyVol. 39(10)
Fuyang Normal University (CN), Anhui Agricultural University (CN), Longyan University (CN), Anhui University of Science and Technology (CN), Changsha University (CN), Ningxia University (CN), Anhui Science and Technology University (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 75%
Epigenetics and DNA Methylation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.