| Summary: | Shanshan Peng,1 Na Liu,1 Kai Wei,1 Gang Li,2 Zheng Zou,3 Tao Liu,3 Meifang Shi,3 Yuan Lv,1 Yong Lin1 1Department of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China; 2Shanghai Baoshan Renhe Hospital, Shanghai, People’s Republic of China; 3Youyi Road Community Health Service Centre for Baoshan District, Shanghai, People’s Republic of ChinaCorrespondence: Yong Lin, Department of Laboratory Medicine, Huashan Hospital, Fudan University, No. 12 the Middle of Urumqi Road, Shanghai, People’s Republic of China, Tel +86 13916553198, Email linyong7007@163.comPurpose: Recent studies have focused on whether kidney injury molecule-1 (KIM-1) might serve as a marker of acute kidney tubular injury. Our study analyzed the levels of KIM-1 in the healthy population of different ages to explore the correlation between KIM-1 and age. Moreover, we constructed a model to predict kidney age.Methods: A cross-sectional study was conducted by Huashan Hospital, Shanghai, China, between April 2020 and December 2020. KIM-1 and other kidney biomarkers were measured in 176 healthy individuals ranging from 26 to 91 years old. Statistical correlated analyses for urinary KIM-1, creatinine (uCREA), potassium (K), sodium (Na) and chlorine (Cl), plasmic renin, angiotensin-2 (AngII) and aldosterone (ALD), and serum microalbuminuria (MALB), β 2-microglobulin (B2MG), cystatin C (CYSC), urea nitrogen (BUN), creatinine (CREA), and glucose (GLU) were performed to assess the correlation between age and kidney biomarkers. All variables were selected as independent variables for the prediction of age by multiple linear regression.Results: KIM-1 positively correlated with age in kidney healthy people (r = 0.41, p < 0.05), whether among females (r = 0.51, p < 0.05) or males (r = 0.27, p < 0.05). It was much related to K (r = 0.34), B2MG (r = 0.28), and CL (r = 0.23). The predicted model was constructed with eGFR, Cl, ALD, CYSC, KIM-1, BUN, GLU and AngII, reaching an adjusted R2 of 69.5% and a standard error of the estimated 7.84 years.Conclusion: The level of urinary KIM-1 increases with age in healthy people. The model constructed by KIM-1 and the other 7 biomarkers can predict kidney age in healthy people.Keywords: aging, kidney biomarkers, KIM-1, healthy
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