Diabetes, Metabolic Syndrome and Obesity (Dec 2023)

Urinary PART1 and PLA2R1 Could Potentially Serve as Diagnostic Markers for Diabetic Kidney Disease Patients

  • Ye Q,
  • Xu G,
  • Yuan H,
  • Mi J,
  • Xie Y,
  • Li H,
  • Li Z,
  • Huang G,
  • Chen X,
  • Li W,
  • Yang R

Journal volume & issue
Vol. Volume 16
pp. 4215 – 4231

Abstract

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Qinglin Ye,1,* Guiling Xu,1,* Hao Yuan,2,3 Junhao Mi,2,3 Yuli Xie,2,3 Haoyu Li,1 Zhejun Li,1 Guanwen Huang,1 Xuesong Chen,1 Wei Li,1 Rirong Yang2,3 1Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530005, People’s Republic of China; 2Centre for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, People’s Republic of China; 3Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, 530021, People’s Republic of China*These authors contributed equally to this workCorrespondence: Rirong Yang, Centre for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, 530021, People’s Republic of China, Fax +86 0771 5317061, Email [email protected]; [email protected] Wei Li, Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530005, People’s Republic of China, Email [email protected]: Diabetic kidney disease (DKD) is a chronic renal disease which could eventually develop into renal failure. Though albuminuria and estimated glomerular filtration rate (eGFR) are helpful for the diagnosis of DKD, the lack of specific biomarkers reduces the efficiency of therapeutic interventions.Methods: Based on bulk-seq of 56 urine samples collected at different time points (including 11 acquired from DKD patients and 11 from healthy controls), in corporation of scRNA-seq data of urine samples and snRNA-seq data of renal punctures from DKD patients (retrieved from NCBI GEO Omnibus), urine-kidney specific genes were identified by Multiple Biological Information methods.Results: Forty urine-kidney specific genes/differentially expressed genes (DEGs) were identified to be highly related to kidney injury and proteinuria for the DKD patients. Most of these genes participate in regulating glucagon and apoptosis, among which, urinary PART1 (mainly derived from distal tubular cells) and PLA2R1 (podocyte cell surface marker) could be used together for the early diagnosis of DKD. Moreover, urinary PART1 was significantly associated with multiple clinical indicators, and remained stable over time in urine.Conclusion: Urinary PART1 and PLA2R1 could be shed lights on the discovery and development of non-invasive diagnostic method for DKD, especially in early stages. Keywords: diabetic kidney disease, urine, non-invasive, diagnosis, biomarker

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