Serum Stem Cell Factor Level Predicts Decline in Kidney Function in Healthy Aging Adults
Serum Stem Cell Factor Level Predicts Decline in Kidney Function in Healthy Aging Adults
复制标题
血清干细胞因子水平可预测健康老龄成年人肾功能的下降
DOI：
10.1007/s12603-019-1253-3
复制
发表时间：
2019-09
影响因子：
5.8
通讯作者：
Chen X.
中科院分区：
文献类型：
--
作者：
Zhang W.;Jia L.;Liu D. L. X.;Chen L.;Wang Q.;Song K.;Nie S.;Xiu M.;Gao M.;Zhao D.;Zheng Y.;Duan S.;Dong Z.;Li Z.;Wang P.;Fu B.;Cai G.;Sun X.;Chen X.
背景与目的干细胞因子（Stem cell factor，SCF）是c-kit受体的配体，积极参与包括肾脏疾病在内的多种疾病的器官重建和纤维化。然而，目前尚不清楚SCF是否在肾脏衰老中起作用。设计、设置、参与者和测量在本研究中，我们测量了892名中国汉族受试者的血清SCF水平、估计肾小球滤过率（eGFR）和其他生物学参数，并探讨了SCF水平与衰老过程中肾功能之间的关系;我们试图定义肾脏衰老的新生物标志物。结果采用多元线性回归筛选肾功能下降的潜在指标。冗余分析后，只有年龄、SCF水平和25%最大呼气流量（25%MEF）是显著的预测因子（|R|> 0.70和P < 0.05）。多元线性回归分析显示eGFR、SCF水平与年龄的关系为：eGFR = 154.486 -（0.846 ×年龄）-（0.011 × SCF水平）。结论SCF对肾脏衰老的影响无性别差异。总之，SCF水平是肾脏衰老的理想生物标志物，并可能有助于预测衰老过程中eGFR的变化。
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.
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DOI：
10.1056/nejmoa1114248
发表时间：
2012-07-05
期刊：
The New England journal of medicine
影响因子：
--
作者：
Inker LA;Schmid CH;Tighiouart H;Eckfeldt JH;Feldman HI;Greene T;Kusek JW;Manzi J;Van Lente F;Zhang YL;Coresh J;Levey AS;CKD-EPI Investigators
通讯作者：
CKD-EPI Investigators
影响因子：
4.4
作者：
G. Nilsson;J. Butterfield;Kenneth Nilsson;A. Siegbahn
通讯作者：
G. Nilsson;J. Butterfield;Kenneth Nilsson;A. Siegbahn
影响因子：
6.5
作者：
Kitoh, T;Ishikawa, H;Nakagawa, S
通讯作者：
Nakagawa, S
影响因子：
0.9
作者：
N. Alachkar;R. Ugarte;E. Huang;K. Womer;R. Montgomery;E. Kraus;H. Rabb
通讯作者：
N. Alachkar;R. Ugarte;E. Huang;K. Womer;R. Montgomery;E. Kraus;H. Rabb
影响因子：
13.2
作者：
Stevens, Lesley A.;Coresh, Josef;Levey, Andrew S.
通讯作者：
Levey, Andrew S.