Evidence mapPaperPMID 42284517Full record

ArticleArchives of endocrinology and metabolism2026

Associations between peripheral blood whole-genome DNA methylation and obesity in young Chinese males.

Meidan Nong, Haiou Lu, Maolin Zhao, Lihong Xiao

Abstract read
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Article in Archives of endocrinology and metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Meidan NongGeneral Medicine Department, Liuzhou People's Hospital, Liuzhou City, Guangxi Zhuang Autonomous Region, China.ORCID 0009-0002-4044-2930
Haiou LuGeneral Medicine Department, Liuzhou People's Hospital, Liuzhou City, Guangxi Zhuang Autonomous Region, China.ORCID 0009-0008-5009-2675
Maolin ZhaoGeneral Medicine Department, Liuzhou People's Hospital, Liuzhou City, Guangxi Zhuang Autonomous Region, China.ORCID 0009-0002-0716-5177
Lihong XiaoGeneral Medicine Department, Liuzhou People's Hospital, Liuzhou City, Guangxi Zhuang Autonomous Region, China.ORCID 0009-0004-4973-9719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the associations between peripheral blood whole-genome DNA methylation and obesity in young Chinese males. SUBJECTS AND

methodsFour young Chinese males aged 18-25 years with obesity (body mass index [BMI] ≥ 30 kg/m2) from Liuzhou Peoples Hospital Health Management Center and 3 age-matched healthy controls with average weights were included. Methylation sequencing was conducted using whole-blood DNA extraction and an Illumina 850K methylation chip, followed by gene functional annotation, pathway enrichment analysis, and differential analysis using bioinformatics tools.

resultsMethylTarget technology was utilized for the methylation sequencing of 35 patients with obesity and 34 healthy controls, revealing 15 differential sites, two differential regions, and three differential genes. The differential regions included cg08667244 (site region 1stExon) and cg13928759 (site region TSS200, p < 0.05), with the differential genes being cg08667244 (corresponding to iodothyronine deiodinase 3, DIO3), cg13928759 (corresponding to leucine-rich glioma inactivated 1, LGI1), and cg18770216 (corresponding to integrin beta 5, ITGB5, p < 0.05). Further analysis revealed a negative correlation between cg13928759 methylation (LGI1 gene) and body mass index (R = -0.25; P = 0.04).

conclusionThis study revealed 15 differential sites, two differential regions, and three differential genes between young individuals with obesity and healthy controls, among which cg13928759 methylation (LGI1 gene) was negatively correlated with body mass index. These findings suggest that DNA methylation may contribute to obesity development, with LGI1 methylation serving as a potential biomarker.

Indexed as

DNA MethylationObesityAdolescentAdultBody Mass IndexCase-Control StudiesChinaEast Asian PeopleHumansMaleYoung Adultbody mass indexLGI1 genemethylationmethyltarget technologyObesity

Identifiers

PMID42284517
PMCPMC13271091

What Socratic holds

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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 Socratic graph.