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Original Article Basic Research Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization
Li Jiang1,*orcid , Jie Jian2,*orcid , Xulin Sai3, Xiai Wu1orcid

DOI: https://doi.org/10.4093/dmj.2024.0233 [Epub ahead of print]
Published online: January 24, 2025
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1Diabetes Department of Integrated Chinese and Western Medicine, China National Center for Integrated Traditional Chinese and Western Medicine, China- Japan Friendship Hospital, Beijing, China
2Mental Health Center of Dongcheng District, Beijing, China
3Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
Corresponding author:  Xiai Wu,
Email: 20180931313@bucm.edu.cn
*These authors contributed equally to this work.
Received: 5 May 2024   • Accepted: 7 September 2024

Background
Diabetic kidney disease (DKD) is recognized as a significant complication of diabetes mellitus and categorized into glomerular DKDs and tubular DKDs, each governed by distinct pathological mechanisms and biomarkers.
Methods
Through the identification of common features observed in glomerular and tubular lesions in DKD, numerous differentially expressed gene were identified by the machine learning, single-cell transcriptome and mendelian randomization.
Results
The diagnostic markers versican (VCAN) was identified, offering supplementary options for clinical diagnosis. VCAN significantly highly expressed in glomerular parietal epithelial cell and proximal convoluted tubular cell. It was mainly involved in the up-regulation of immune genes and infiltration of immune cells like mast cell. Mendelian randomization analysis confirmed that serum VCAN protein levels were a risky factor for DKD, while there was no reverse association. It exhibited the good diagnostic potential for estimated glomerular filtration rate and proteinuria in DKD.
Conclusion
VCAN showed the prospects into DKD pathology and clinical indicator.

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    Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization
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Jiang L, Jian J, Sai X, Wu X. Revealing VCAN as a Potential Common Diagnostic Biomarker of Renal Tubules and Glomerulus in Diabetic Kidney Disease Based on Machine Learning, Single-Cell Transcriptome Analysis and Mendelian Randomization. Diabetes Metab J. 2025 Jan 24. doi: 10.4093/dmj.2024.0233. Epub ahead of print.
Received: May 05, 2024; Accepted: Sep 07, 2024
DOI: https://doi.org/10.4093/dmj.2024.0233.

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