Evidence map›Paper›PMID 40690089›Full record

ArticleCurrent medical science2025

Identification of Immune-Related Ferroptosis Biomarkers in Diabetic Kidney Disease and Screening of Associated Inhibitors.

Nan-Nan Zhang, Yi Zhu, Qiu-Yan Huang, Fei Hu, Jun Li, Xia Yang

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Article in Current medical science, 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
–field-weighted citation impact
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

6 authors.

Nan-Nan Zhang *Department of Basic Medical Science, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China. doczn@sina.com.ORCID http://orcid.org/0000-0003-4550-7617
Yi Zhu *Department of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Qiu-Yan HuangDepartment of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Fei HuDepartment of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Jun LiDepartment of Basic Medical Science, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.
Xia YangDepartment of Basic Medical Science, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, China.

Funding

Guizhou Provincial Department of Education 2024 Natural Science Research Project ( Youth Science and Technology Talent Growth Project ) Qiankejiao[2024]116the Guizhou Provincial Basic Research Program (Natural Science) Qiankehe Foundation-ZK [2023] General 428the Science and Technology Foundation of Guizhou Provincial Health Commission gzwkj2022-008
6 · The paper itself

Abstract

objectiveImmune infiltration and ferroptosis play pivotal roles in the progression of diabetic kidney disease (DKD). However, investigations of immune cell-related ferroptosis genes (ICRFGs) in the context of DKD are insufficient. This study aimed to identify ICRFGs relevant to DKD and screen related inhibitors.

methodsIn this study, two DKD datasets from the GEO database were utilized. We adopted the ESTIMATE algorithm to generate microenvironment scores. The CIBERSORT and WGCNA methods were employed to identify immune-related differentially expressed genes (DEGs). The common ICRFGs were derived through a Venn diagram. We employed random forest, LASSO, K-M survival, receiver operating characteristic (ROC) curve, clinical relevance, and Spearman correlation analyses to select hub ICRFGs further. Immunohistochemical experiments were also performed to validate the expression. Additionally, we utilized the Selleck database to obtain ferroptosis-related compounds and used USCF Chimera 1.14 to minimize energy, combined with molecular dynamics (MD) simulations to explore possible ferroptosis inhibitors.

resultsImmunohistochemical analysis revealed that arachidonate 5-lipoxygenase (ALOX5) was significantly highly expressed in the db/db group. Clinical correlation and K-M survival analyses confirmed ALOX5 as the most crucial ICRFG in DKD. Furthermore, ALOX5 was significantly enriched in the terms ECM-receptor interaction, regulation of chemokine production, and regulation of the inflammatory response. A positive correlation was observed between ALOX5 and M1 macrophages, γδ T cells, and monocytes. Moreover, virtual screening and MD revealed NSC348884, salvianolic acid B, and deltarasin as potential ferroptosis inhibitors in combination with ALOX5.

conclusionWe identified ALOX5 as a reliable and prospective diagnostic marker associated with immunity and ferroptosis in DKD patients.

Indexed as

Arachidonate 5-LipoxygenaseDiabetic NephropathiesFerroptosisBiomarkersHumansALOX5 protein, humanArachidonate 5-LipoxygenaseBiomarkersArachidonate 5-lipoxygenaseBiomarkerDiabetic kidney diseaseFerroptosisImmune cellsMolecular dockingMolecular dynamics simulationsTherapeutic targetVirtual screening

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.