Integrated machine learning and multi-omics analysis identifies ALOX5 as a potential therapeutic target for tubulointerstitial inflammation in diabetic kidney disease
W
Wei Lu
Y
Yiyao Deng
L
Likang Zhai
Y
Yongqiang Zhang
D
Die Yang
K
Kunming Yang
X
Xue Lu
J
Ju Zhang
(Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, School of Pharmaceutical Sciences)
Q
Qiuling Xue
L
Lunju Luo
M
Mingming Liu
H
Hongyan Ren
X
Xin Xu
D
Dengmei Ao
L
Lu Liu
F
Fangfang Yu
Y
Yuan Ma
(Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology)
Y
Yan Zha
J
Jing Yuan
Article Details
Journal
Scientific Reports
Volume / Issue
Vol. 16, Issue 1
Published
March 19, 2026
ISSN
2045-2322
Publisher
Nature Portfolio
Authors (19)
W
Wei Lu
Y
Yiyao Deng
L
Likang Zhai
Y
Yongqiang Zhang
D
Die Yang
K
Kunming Yang
X
Xue Lu
J
Ju Zhang
Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, School of Pharmaceutical Sciences
Q
Qiuling Xue
L
Lunju Luo
M
Mingming Liu
H
Hongyan Ren
X
Xin Xu
D
Dengmei Ao
L
Lu Liu
F
Fangfang Yu
Y
Yuan Ma
Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology
Y
Yan Zha
J
Jing Yuan
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