• Yan Huang, Li Jin, Hairong Yu, Guozhi Jiang, Claudia H T Tam, Song Jiang, Chunxia Zheng, Feng Jiang, Rong Zhang, Hong Zhang, ChanJuliana C NJCNDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.Li Ka Shing Institute of Health Sciences, T, MaRonald C WRCWDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.Li Ka Shing Institute of Health Sciences, The , Weiping Jia, Cheng Hu, and Zhihong Liu.
• National Clinical Research Center of Kidney Diseases, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
• Eur. J. Clin. Invest. 2020 Sep 1; 50 (9): e13264.

ObjectiveTo explore the relationship between SNPs in PRKCA-HIF1A-GLUT1 and diabetic kidney disease in Chinese Han people.Materials And MethodsA total of 2552 participants from Shanghai Diabetes Institute Inpatient Database of Shanghai Jiao Tong University Affiliated Sixth People's Hospital were involved in the stage 1 cross-sectional population. A total of 6015 subjects from the Hong Kong Diabetes Register were included for validation. Genotyping of participants was conducted by the MassARRAY Compact Analyzer (Agena Bioscience). The data were analysed by plink, SAS, Haploview.ResultsWe identified variants associated with diabetic kidney disease in stage 1. Rs1681851 (P = .0105, OR = 1.331) in GLUT1 as well as rs2301108 (P = .0085, OR = 1.289) and rs79865957 (P = .0204, OR = 1.263) in HIF1A were significantly associated with diabetic kidney disease. Regarding DKD-related traits, rs1681851 was associated with plasma creatinine levels (P = .0169, β = 4.822) and eGFR (P = .0457, β = -6.956). Moreover, the results showed the interactions between PRKCA-GLUT1 in the occurrence of DKD. We further sought validation of the 17 SNPs in a prospective cohort and found that rs900836 and rs844501 were associated with the percentage change in eGFR slope. We performed a meta-analysis of case-control analysis data from the Hong Kong samples together with the stage 1 data from Shanghai. Rs9894851 showed significant correlation with the serum creatinine level as well as eGFR and no SNP showed association with DKD after meta-analysis.ConclusionsOur results suggest potential association between SNPs in PRKCA-HIF1A-GLUT1 and diabetic kidney disease in Chinese Han people.© 2020 Stichting European Society for Clinical Investigation Journal Foundation.

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