SERUM STEM CELL FACTOR LEVEL PREDICTS DECLINE IN KIDNEY FUNCTION IN HEALTHY AGING ADULTS

被引:6
作者
Zhang, W. [1 ]
Jia, L. [1 ]
Liu, D. L. X. [1 ]
Chen, L. [1 ]
Wang, Q. [1 ]
Song, K. [1 ]
Nie, S. [1 ]
Chen, X. [1 ]
Xiu, M. [1 ]
Gao, M. [1 ]
Zhao, D. [1 ]
Zheng, Y. [1 ]
Duan, S. [1 ]
Dong, Z. [1 ]
Li, Z. [1 ]
Wang, P. [1 ]
Fu, B. [1 ]
Cai, G. [1 ]
Sun, X. [1 ]
机构
[1] NIDDK, Chinese Peoples Liberat Army Gen Hosp, Chinese Peoples Liberat Army Inst Nephrol, Dept Nephrol,State Key Lab Kidney Dis, A28 Fuxing Rd, Beijing 100853, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Stem cell factor; kidney function; age; enzyme-linked immunosorbent assay; KIT EXPRESSION; RENAL-FUNCTION; ESTIMATING GFR; CYSTATIN-C; MAST-CELLS; CREATININE; DISEASE; LIGAND;
D O I
10.1007/s12603-019-1253-3
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background and objectives: Stem cell factor (SCF), the ligand of the c-kit receptor, actively participates in the organ reconstruction and fibrosis associated with various diseases, including kidney disease. However, it remains unclear whether SCF plays a role in kidney aging. Design, setting, participants, and measurements: In the present study, we measured the serum SCF level, estimated glomerular filtration rate (eGFR), and other biological parameters in a Chinese Han group of 892 subjects, and explored the relationship between SCF level and renal function during aging; we sought to define novel biomarkers of kidney aging. Results: Multiple linear regression was used to select potential indicators of decline in renal function. Only age, SCF level, and 25% maximum expiratory flow (25% MEF) were significant predictors after redundancy analysis (vertical bar r vertical bar > 0.70 and P < 0.05). Multiple linear regression showed that the relationship among eGFR, SCF level, and age could be described as follows: eGFR = 154.486 - (0.846 x age) - (0.011 x SCF level).Conclusions: We found no between-gender difference in the effect of SCF on kidney aging. In conclusion, the SCF level is an ideal biomarker of renal aging and may help to predict changes in eGFR during aging.
引用
收藏
页码:813 / 820
页数:8
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