Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction

Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction

Renal dysfunction, a major complication of type 2 diabetes, can be predicted from estimated glomerular filtration rate (eGFR) and protein markers such as albumin concentration. Urinary protein biomarkers may be used to monitor or predict patient status. Urine samples were selected from patients enro...

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Bibliographic Details
Main Authors: Hee-Sung Ahn, Jong Ho Kim, Hwangkyo Jeong, Jiyoung Yu, Jeonghun Yeom, Sang Heon Song, Sang Soo Kim, In Joo Kim, Kyunggon Kim
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:International Journal of Molecular Sciences
Subjects:
urine
diabetic kidney disease
kidney function
proteomics
mass spectrometry
statistical clinical model
Online Access:https://www.mdpi.com/1422-0067/21/12/4236

Internet

https://www.mdpi.com/1422-0067/21/12/4236

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