1
Return

Unveiling urinary diagnostic biomarkers for diabetic kidney disease using metabolomics and machine learning approaches

delete2025-09-21
delete0
PRE
AI
Y
Yuan Sun
H
Haiying Li
X
Xi Yan
G
Guanwei Ma
H
Hongbo Yang
Y
Yikun Zhu
J
Jiancheng Li
W
Wei Lu
M
Man Zhan
J
Juan Yuan
Z
Zhiyuan Liang
沈利 cover
沈利 (Liming Shen) *
Y
Yongdong Zou *
DOI：10.1111/dom.70138delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Diabetic kidney disease (DKD) is a specific complication of diabetes that poses a major challenge to global public health. However, clinical detection of DKD still has notable limitations. This study aimed to identify potential biomarkers and explore the underlying mechanisms of DKD.
Keywords:
diabetic kidney disease
machine learning
metabolomics
urine biomarkers

Journal

D
Diabetes Obesity and Metabolism
IF:
5.7
Papers:
6.1K
Citations:
1.7W

Organization

S
shenzhen university
Scholars:
4.4W
Papers: 3.4W
Citations: 72
Cited Papers

Cited Papers

Citing Papers

Citing Papers