Evidence map›Paper›PMID 41807977›Full record

ArticleJournal of animal science and biotechnology2026

Tissue-specific epigenetic regulation of fat metabolism in pigs through integrated analysis of DNA methylation and gene expression networks.

Do-Young Kim, Byeonghwi Lim, Rajesh Kumar Pathak, Woncheoul Park, Jong-Eun Park, Jun-Mo Kim

Abstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Do-Young KimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-Do, 17546, Republic of Korea.
Byeonghwi LimDepartment of Animal Science, Iowa State University, Ames, IA, 50011, USA.
Rajesh Kumar PathakPere Virgili Institute for Health Research, Tarragona, 43005, Spain.
Woncheoul ParkAnimal Genetics and Breeding Division, National Institute of Animal Science, RDA, 114, Sinbang 1-Gil, Seonghwan-Eup, Seobuk-Gu, Cheonan-Si, Chungcheongnam-Do, 31000, Republic of Korea.
Jong-Eun ParkDepartment of Animal Biotechnology, College of Applied Life Science, Jeju National University, Jeju-Si, 63243, Republic of Korea. jepark@jejunu.ac.kr.
Jun-Mo KimDepartment of Animal Science and Technology, Chung-Ang University, Anseong, Gyeonggi-Do, 17546, Republic of Korea. junmokim@cau.ac.kr.

Funding

National Research Foundation of Korea RS-2023-00245099Rural Development Administration PJ011876
6 · The paper itself

Abstract

backgroundFat metabolism in pigs is controlled by tissue-specific molecular mechanisms that ultimately affect growth performance and meat quality. Understanding how epigenetic modifications interact with gene expression across key metabolic and fat-depositing tissues is essential for identifying regulatory processes and potential biomarkers to improve pork quality traits. Therefore, this study aimed to elucidate tissue specific epigenetic regulation of fat metabolism by integrating DNA methylation and gene expression profiles from liver, backfat, and loin (longissimus dorsi) tissues at two physiologically developmental stages (10 and 26 weeks), representing the early post-weaning growth phase and near-market weight, respectively. By explicitly comparing these ages and tissues, the study was designed to capture the transition from muscle-dominated growth to increased lipid deposition and to identify tissue- and stage-specific regulatory signatures that may serve as biomarkers for pork quality.

resultsGenome-wide DNA methylation exhibited weak clustering by tissue, whereas gene expression showed clear tissue separation. The liver harbored fewer genes with differential methylation across stage and tissue but a greater number of genes with differential expression than backfat and loin, suggesting distinct regulatory modes. Integrative analysis of the overlap genes between methylation and expression signals highlighted epigenetically mediated regulation of extracellular matrix organization, lipid metabolism, and muscle development pathways. Furthermore, weighted gene co-expression network analysis revealed distinct tissue-specific correlations between co-methylated and co-expressed modules, with enrichment in cholesterol biosynthesis, muscle contractility, and extracellular matrix remodeling. Together, these findings suggest that methylation changes are more subtle than transcriptional shifts, yet they are aligned with key functional pathways, consistent with a role for methylation as a fine-tuning mechanism that shapes tissue-specific transcriptional networks during growth.

conclusionsAcross liver, backfat, and loin, DNA methylation modulates transcriptional programs in a tissue-dependent manner, prioritizing pathways central to lipid handling, extracellular matrix remodeling, and muscle function. This integrated multi-omics framework highlights candidate epigenetic markers and regulatory modules with potential utility for improving pork quality traits through selection or management strategies.

Indexed as

DNA methylationEpigeneticGene expressionMulti-omics integration analysisPorcine

Identifiers

PMID41807977
PMCPMC12977806

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.