Identifying aging-related biomarkers in adipose tissue using integrative bioinformatics and machine-learning approaches: discovery of ELN, MXD1, and FGF21 as key genes

This study identified three DEARGs (ELN, MXD1, and FGF21) as potential biomarkers of adipose tissue aging, suggesting their role in organismal aging and age-related disease pathways.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2025-09-01
DOI
https://doi.org/10.3389/fendo.2025.1638343
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

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article

Identifying aging-related biomarkers in adipose tissue using integrative bioinformatics and machine-learning approaches: discovery of ELN, MXD1, and FGF21 as key genes

Shunli Rui, Bo Deng, Dawei Tang, Xiaoyan Jiang et al.
Frontiers in Endocrinology
Adipose Tissue and Metabolism
article

Identifying aging-related biomarkers in adipose tissue using integrative bioinformatics and machine-learning approaches: discovery of ELN, MXD1, and FGF21 as key genes

Shunli Rui, Bo Deng, Dawei Tang, Xiaoyan Jiang, Fugang Xiao, Hongyan Wang, Yan Chen, Gangyi Yang, Xi Cheng, Xin Xie, Yanzhong Wang, Wuquan Deng, Chenghu Huang
article en

Abstract

This study identified three DEARGs (ELN, MXD1, and FGF21) as potential biomarkers of adipose tissue aging, suggesting their role in organismal aging and age-related disease pathways.

Frontiers in EndocrinologyVol. 16
King's College London (GB), Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), People's Hospital of Bishan District (CN), Chongqing Emergency Medical Center (CN), Chongqing Medical University (CN)
National Science and Technology Major Project
Openalex Percentile: Top 71%
Adipose Tissue and Metabolism
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Identifying aging-related biomarkers in adipose tissue using integrative bioinformatics and machine-learning approaches: discovery of ELN, MXD1, and FGF21 as key genes — Shunli Rui, Bo Deng, et al. · Frontiers in Endocrinology (2025) | TGRS Research Map | TGRS