Evidence map›Paper›PMID 41386864›Full record

ArticleJournal, genetic engineering & biotechnology2025

Bioinformatics and experimental validation of MAPK pathway activation in diabetic kidney disease induced by glucose variability.

Sujuan Li, Huijuan Wang, Yuanhang Zhang

Abstract read
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Article in Journal, genetic engineering & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Sujuan LiDepartment of Clinical Laboratory, Hangzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China; Department of Pathology, 82nd Hospital of PLA, Huaian, Jiangsu, China. Electronic address: fangli3478@163.com.
Huijuan WangDepartment of Pathology, 82nd Hospital of PLA, Huaian, Jiangsu, China.
Yuanhang ZhangDepartment of Clinical Laboratory, Hangzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis article aims to evaluate the role of factors associated with oxidative stress induction in fluctuating hyperglycemia-induced diabetic kidney disease (DKD) and to elucidate the molecular mechanisms underlying the pathogenesis of DKD.

methodsWe downloaded the gene expression datasets GSE30528 and GSE30529, which are associated with diabetic kidney disease (DKD), from the Gene Expression Omnibus (GEO) database. We identified differentially expressed genes (DEGs) and selected the top four proteins from protein-protein interaction (PPI) networks using STRING and Cytoscape software. Concurrently, we conducted diabetic animal experiments to verify that these proteins contribute to the onset and progression of DKD through oxidative stress. Finally, we confirmed the correlation and roles of these genes in the animal model.

resultThe modulation of the MAPK cascade involves ITGB2 and TYROBP. The results showed that the areas under the ROC curve (AUC) for TYROBP were 0.889 and 0.966, respectively, while for ITGB2, they were 0.906 and 0.974. All other indicators had an AUC of 1.0; these indicators represent differentially expressed genes identified through data analysis. The activities of superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px), as well as the levels of malondialdehyde (MDA), were measured in diabetic rats (P < 0.05). Apoptotic responses and c-Jun N-terminal kinase (JNK) activation were evident in the rat fluctuation group. Further research has demonstrated that oxidative stress regulates the MAPK pathway at both cellular and molecular levels. Gene and protein expression, particularly in the context of diabetic nephropathy, are influenced by multiple factors.

conclusionCollectively, fluctuating hyperglycemia directly and indirectly regulates MAPK-JNK signaling via ITGB2, TYROBP, and oxidative stress, ultimately influencing the onset and progression of diabetic nephropathy.

Indexed as

Diabetic kidney disease (DKD)Fluctuating glucoseMitogen-activated protein kinase (MAPK)Oxidative stress

Identifiers

PMID41386864
PMCPMC12590137

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