Abstract: SA-PO726
Serum Stem Cell Factor Level Predicts Declined Kidney Function in Healthy Adults
Session Information
- Geriatric Nephrology
October 27, 2018 | Location: Exhibit Hall, San Diego Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Geriatric Nephrology
- 1100 Geriatric Nephrology
Authors
- Zhang, Weiguang, Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, BeiJing, China
- Jia, Linpei, Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, BeiJing, China
- Liu, Xiaomin, Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, BeiJing, China
- Wang, Qian, Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, BeiJing, China
- Chen, Xiangmei, Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, BeiJing, China
Background
Stem cell factor (SCF), the ligand of mast cells’ c-kit receptor, actively participates in the organ reconstruction and fibrosis in various diseases. Recent studies also revealed that SCF plays an important role in kidney diseases, including nephrotoxic nephritis and crescentic glomerulonephritis. However, it remains unclear whether SCF play a role in the ageing of kidney. This study was designed to investigate the relationship between serum SCF level and the function of kidney aging.
Methods
In this study, we collected the data of serum SCF, estimated glomerular filtration rate (eGFR) calculated by CKD-EPI equation and other biological indicators in a Chinese Han and investigated the relationship of SCF and the renal function in the aging process, so as to search new biomarkers of kidney aging. The levels of serum SCF (R&D Systems, Min., U.S.A) were tested by enzyme-linked immunosorbent assay (ELISA). Then correlation analysis, redundancy analysis and multiple linear regression were done to select potential indicators to estimate renal function decline. We divide subjects into youth (age<45), middle-aged (45≤age<60), young elderly (60≤age<75) and elderly (age≥75) groups. SCF levels were compared among different age groups and genders using one-way ANOVA (P<0.05) and student t test (P<0.05) respectively.
Results
1. Demographic features
Initially, 1,368 volunteers were enrolled. After the screening, 892 healthy participants of mean age 59.0 ± 13.4 years were finally enrolled.
2. Age and SCF level are predictors of eGFR.
The final relationship between eGFR and SCF level was expressed as: eGFR = 154.486 – (0.846 × age) – (0.011 × SCF level).
Fig. 1. Associations of predictive variables with the estimated glomerular filtration rate (eGFR).
Conclusion
In conclusion, we investigated the relationship between SCF and eGFR in the ageing process of kidney, and revealed that SCF is closely related with eGFR. Finally, we constructed an eGFR estimated equation for kidney aging.