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

Journal: Lipids in health and disease
Published Date:

Abstract

BACKGROUND: Kidney stone disease (KSD) is a growing global health concern, with obesity (OB) as a major risk factor linked to metabolic dysfunction and chronic inflammation. Although the common method for evaluating OB is body mass index (BMI), it is not specific enough when it comes to reflecting visceral fat. The perirenal fat thickness (PFT) might present better predictive capabilities. The goal of this research was to assess the clinical usefulness of PFT in the diagnosis of KSD and to clarify the molecular mechanisms connecting OB to KSD.

Authors

  • Kaifeng Mao
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Xiang Xu
    Beijing Center for Disease Prevention and Control, Beijing, China.
  • Yifei Zhu
    Department of Atmospheric Science, School of Environmental Sciences, China University of Geosciences, Wuhan, 430074, China.
  • Fenwang Lin
    Department of Kidney Transplantation, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China.
  • Zhenquan Lu
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Bingfeng Luo
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Genggeng Wei
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Yuan Yuan
    Department of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
  • Sucai Liao
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Yaping Xing
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Wenyan Huang
    Division of Urology, Department of Surgery, The University of Hong Kong- Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Ruidong Ji
    Department of Urology, The university of Hongkong-Shenzhen hosipital, ShenZhen, China.
  • Yige Pan
    Department of Nursing, The University of Hong Kong-Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Zhenda Li
    Department of Thoracic Surgery, the University of Hong Kong-Shenzhen Hospital, Shenzhen City, Guangdong Province, China.
  • Junsheng Ye
    Department of Kidney Transplantation, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, 102218, China. yejunsh@126.com.
  • Lin Xiong
    Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, Med-X Center for Materials, West China School of Pharmacy, Sichuan University, Chengdu, 610041, China.