A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease

PFT serves as a practical and dependable marker for the risk of KSD. It is superior to BMI and can be conveniently incorporated into routine clinical practice. Stone formation may be linked to perirenal fat by FAM20A and DHRS9 via inflammatory pathways, which provides potential targets for the management of OB-related KSD.

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Publication Details

Journal
Lipids in Health and Disease
Published
2025-08-29
DOI
https://doi.org/10.1186/s12944-025-02686-4
Citations
2
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
Field-Weighted Citation Impact
3.04
Controls
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article

A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease

Xiang Xu, Yaping Xing, Genggeng Wei, Wenyan Huang et al.
2 citations
Lipids in Health and Disease
Kidney Stones and Urolithiasis Treatments
3.04
article

A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease

Xiang Xu, Yaping Xing, Genggeng Wei, Wenyan Huang, Yige Pan, Zhenquan Lu, Lin Xiong, Fenwang Lin, Junsheng Ye, Yuan Yuan, Yifei Zhu, Bingfeng Luo, Z. Li, Sucai Liao, Ruidong Ji, Kaifeng Mao
article en
2 citations

Abstract

PFT serves as a practical and dependable marker for the risk of KSD. It is superior to BMI and can be conveniently incorporated into routine clinical practice. Stone formation may be linked to perirenal fat by FAM20A and DHRS9 via inflammatory pathways, which provides potential targets for the management of OB-related KSD.

Lipids in Health and DiseaseVol. 24(1)
University of Hong Kong - Shenzhen Hospital (CN), Beijing Tsinghua Chang Gung Hospital (CN), University of Hong Kong (HK)
Openalex Percentile: Top 8%
Kidney Stones and Urolithiasis Treatments
3.04
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A cross-sectional and bioinformatics-based analysis: perirenal fat thickness as a superior predictor of kidney stone disease — Xiang Xu, Yaping Xing, et al. · Lipids in Health and Disease (2025) | TGRS Research Map | TGRS