NRF2‐REGγ‐ACADM/KLF15 Signaling Pathway Regulates the Browning of White Adipose Tissue to Modulate Obesity

Obesity is a significant risk factor for diabetes, cardiovascular diseases, and certain cancers, and manifests as excessive fat accumulation. The browning of white adipose tissue (WAT) represents one of the most promising strategies for preventing and treating obesity and metabolic diseases. To date, an increasing number of studies have focused on key molecular mechanisms regulating fat thermogenesis, laying the foundation for effective intervention strategies. Here, REGγ expression is shown to be significantly upregulated in adipose tissue of obese individuals and in inguinal WAT (iWAT) of obese mice. Deficiency in REGγ expression reduces fat deposition, increases energy expenditure in adipose tissue, and protects mice from HFD-induced obesity and insulin resistance. Mechanistically, REGγ expression regulates browning of WAT by modulating ACADM and KLF15-UCP1 signaling in a ubiquitin-independent degradation manner. Overactivation of the NRF2-REGγ axis facilitates adipose tissue function to cause obesity. Notably, inhibition of REGγ in the iWAT alleviates HFD-induced obesity, thereby identifying REGγ as a latent target for obesity treatment. Together, the findings provide new targets for intervening in obesity and might ultimately offer new options for treating obesity.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-09-19
DOI
https://doi.org/10.1002/advs.202509429
Citations
2
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
2.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

NRF2‐REGγ‐ACADM/KLF15 Signaling Pathway Regulates the Browning of White Adipose Tissue to Modulate Obesity

Yongbin Guo, Guanghui Yu, Ziyang Zhou, Baoquan Xin et al.
2 citations
Advanced Science
Adipose Tissue and Metabolism
2.33
article

NRF2‐REGγ‐ACADM/KLF15 Signaling Pathway Regulates the Browning of White Adipose Tissue to Modulate Obesity

Yongbin Guo, Guanghui Yu, Ziyang Zhou, Baoquan Xin, LIN LIU, Shijing Gong, Hui Chen, Yan Liu, Hui Zhang, Lei Li, Zhidan Zhang, Yingying Du, Tao Pei, Shangqi Yin, Qiujing Guan, Lei Zhou
article en
2 citations

Abstract

Obesity is a significant risk factor for diabetes, cardiovascular diseases, and certain cancers, and manifests as excessive fat accumulation. The browning of white adipose tissue (WAT) represents one of the most promising strategies for preventing and treating obesity and metabolic diseases. To date, an increasing number of studies have focused on key molecular mechanisms regulating fat thermogenesis, laying the foundation for effective intervention strategies. Here, REGγ expression is shown to be significantly upregulated in adipose tissue of obese individuals and in inguinal WAT (iWAT) of obese mice. Deficiency in REGγ expression reduces fat deposition, increases energy expenditure in adipose tissue, and protects mice from HFD-induced obesity and insulin resistance. Mechanistically, REGγ expression regulates browning of WAT by modulating ACADM and KLF15-UCP1 signaling in a ubiquitin-independent degradation manner. Overactivation of the NRF2-REGγ axis facilitates adipose tissue function to cause obesity. Notably, inhibition of REGγ in the iWAT alleviates HFD-induced obesity, thereby identifying REGγ as a latent target for obesity treatment. Together, the findings provide new targets for intervening in obesity and might ultimately offer new options for treating obesity.

Advanced ScienceVol. 12(46)
Chongqing Normal University (CN), Shanghai Jiao Tong University (CN), Fudan University (CN), Second People's Hospital of Yunnan Province (CN), Shanghai University of Traditional Chinese Medicine (CN), Shanghai Changzheng Hospital (CN), Shanghai First People's Hospital (CN), Shanghai Traditional Chinese Medicine Hospital (CN), Baoshan University (CN), Obstetrics and Gynecology Hospital of Fudan University (CN), East China Normal University (CN)
Openalex Percentile: Top 10%
Adipose Tissue and Metabolism
2.33
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.