Evidence map›Paper›PMID 40385066›Full record

ArticleAmerican journal of translational research2025

Celastrol protects against diabetic nephropathy by modulating immune-related pathways: a bioinformatics and experimental validation.

Xiaojuan Wang, Mohamad Hafizi Abu Bakar, Mohd Asyraf Kassim, Khairul Anuar Shariff, Libing An, Yan Qin

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaojuan WangBioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia Gelugor 11800, Penang, Malaysia.
Mohamad Hafizi Abu BakarBioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia Gelugor 11800, Penang, Malaysia.
Mohd Asyraf KassimBioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia Gelugor 11800, Penang, Malaysia.
Khairul Anuar ShariffSchool of Materials and Mineral Resources Engineering, Universiti Sains Malaysia Nibong Tebal 14300, Penang, Malaysia.
Libing AnDepartment of Pharmacy, Taishan Vocational College of Nursing Tai'an 271099, Shandong, China.
Yan QinDepartment of Rehabilitation, Taishan Vocational College of Nursing Tai'an 271099, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCelastrol has shown therapeutic effects in diabetic nephropathy (DN). This study aimed to elucidate its underlying mechanisms through bioinformatics analysis and experimental validation.

methodsDifferentially expressed genes (DEGs) between DN and control groups were obtained from GSE30122 and GSE30528 datasets. Target genes of Celastrol were collected from relevant biological databases and intersected with the DEGs. Functional enrichment analysis was conducted to explore the associated biological processes. Immune cell infiltration in DN was analyzed, and a Lasso regression model was constructed to identify DN-associated gene markers with diagnostic potential. The binding affinity of celastrol to target proteins was evaluated using molecular docking. Additionally, high glucose (HG)-treated human kidney 2 (HK-2) cells were subjected to cell viability assays, flow cytometry, ELISA, and immunoblotting.

resultsA total of 69 key target genes of celastrol were identified, primarily involved in oxidative stress, inflammation, and Phosphoinositide 3-Kinase (PI3K)/Protein Kinase B (Akt) signaling pathways. Immune cell infiltration analysis revealed significant differences in CD4

conclusionCelastrol exerts protective effects on DN by modulating key molecular pathways, particularly those involved in inflammation and oxidative stress.

Indexed as

Celastroldiabetic nephropathymachine learningmolecular dockingnetwork pharmacology

Identifiers

PMID40385066
PMCPMC12082535

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