Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease

Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease

Abstract Background Diabetic kidney disease (DKD) is the leading cause of end-stage kidney disease (ESKD) in the world. Emerging evidence has shown that urinary mRNAs may serve as early diagnostic and prognostic biomarkers of DKD. In this article, we aimed to first establish a novel bioinformatics-b...

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Bibliographic Details
Main Authors: Le-Ting Zhou, Lin-Li Lv, Shen Qiu, Qing Yin, Zuo-Lin Li, Tao-Tao Tang, Li-Hua Ni, Ye Feng, Bin Wang, Kun-Ling Ma, Bi-Cheng Liu
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Journal of Translational Medicine
Subjects:
Diabetic kidney disease
Bioinformatics
Biomarker
Urinary mRNA
Microarray
Online Access:http://link.springer.com/article/10.1186/s12967-019-1818-2

Internet

http://link.springer.com/article/10.1186/s12967-019-1818-2

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