W Zhang1, L Jia, D L X Liu, L Chen, Q Wang, K Song, S Nie, J Ma, X Chen, M Xiu, M Gao, D Zhao, Y Zheng, S Duan, Z Dong, Z Li, P Wang, B Fu, G Cai, X Sun, X Chen. 1. Mr. Weiguang Zhang, Department of Nephrology, Chinese People's Liberation Army General Hospital, Chinese People's Liberation Army Institute of Nephrology, State Key Laboratory of Kidney Disease, National Clinic Research Center for Kidney Diseases, A28 Fuxing Road, Beijing 100853, China; Tel +86 15811088843; E-mail: weiguangzhang1@163.com.
Abstract
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 (|r| > 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 × age) - (0.011 × 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.
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 (|r| > 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 × age) - (0.011 × 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.
Authors: Suparna Bonthala Wedam; Jennifer A Low; Sherry X Yang; Catherine K Chow; Peter Choyke; David Danforth; Stephen M Hewitt; Arlene Berman; Seth M Steinberg; David J Liewehr; Jonathan Plehn; Arpi Doshi; Dave Thomasson; Nicole McCarthy; Hartmut Koeppen; Mark Sherman; JoAnne Zujewski; Kevin Camphausen; Helen Chen; Sandra M Swain Journal: J Clin Oncol Date: 2006-01-03 Impact factor: 44.544
Authors: Ho Jun Chin; Shin Young Ahn; Jiwon Ryu; Sejoong Kim; Ki Young Na; Ki Woong Kim; Dong-Wan Chae; Cheol-Ho Kim; Kwang-Il Kim Journal: Age Ageing Date: 2014-06-07 Impact factor: 10.668
Authors: Elizabeth C Lorenz; Terri J Vrtiska; John C Lieske; John J Dillon; Mark D Stegall; Xujian Li; Eric J Bergstralh; Andrew D Rule Journal: Clin J Am Soc Nephrol Date: 2010-01-14 Impact factor: 8.237