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

Current Medical Science ›› 2025, Vol. 45 ›› Issue (4) : 799 -818.

PDF
Current Medical Science ›› 2025, Vol. 45 ›› Issue (4) : 799 -818. DOI: 10.1007/s11596-025-00091-7
Original Article
research-article

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

Author information +
History +
PDF

Abstract

Objective

Immune 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.

Methods

In 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.

Results

Immunohistochemical 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.

Conclusion

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

Keywords

Diabetic kidney disease / Ferroptosis / Immune cells / Virtual screening / Molecular dynamics simulations / Arachidonate 5-lipoxygenase / Molecular docking / Biomarker / Therapeutic target

Cite this article

Download citation ▾
Nan-nan Zhang, Yi Zhu, Qiu-yan Huang, Fei Hu, Jun Li, Xia Yang. Identification of Immune-Related Ferroptosis Biomarkers in Diabetic Kidney Disease and Screening of Associated Inhibitors. Current Medical Science, 2025, 45(4): 799-818 DOI:10.1007/s11596-025-00091-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

ThomasMC, BrownleeM, SusztakK, et al.. Diabetic kidney disease. Nat Rev Dis Primers., 2015, 1(1): 1-20

[2]

ColhounHM, MarcovecchioML. Biomarkers of diabetic kidney disease. Diabetologia., 2018, 61(5): 996-1011.

[3]

ChanGCW, TangSCW. Diabetic nephropathy: landmark clinical trials and tribulations. Nephrol Dial Transplant., 2016, 31(3): 359-368.

[4]

JohnsonSA, SpurneyRF. Twenty years after ACEIs and ARBs: emerging treatment strategies for diabetic nephropathy. Am J Physiol Renal Physiol., 2015, 309(10): F807-F820.

[5]

Garcia-RoperoA, BadimonJJ, Santos-GallegoCG. The pharmacokinetics and pharmacodynamics of SGLT2 inhibitors for type 2 diabetes mellitus: the latest developments. Expert Opin Drug Metab Toxicol., 2018, 14(12): 1287-1302.

[6]

KimS, KangSW, JooJ, et al.. Characterization of ferroptosis in kidney tubular cell death under diabetic conditions. Cell Death Dis., 2021, 122160.

[7]

ZhengZ, ZhengF. Immune cells and inflammation in diabetic nephropathy. J Diabetes Res., 2016, 20161841690

[8]

TangSCW, YiuWH. Innate immunity in diabetic kidney disease. Nat Rev Nephrol., 2020, 16(4): 206-222.

[9]

ChenX, KangR, KroemerG, et al.. Ferroptosis in infection, inflammation, and immunity. J Exp Med., 2021, 2186. e20210518

[10]

ZhaoP, HuW, WangH, et al.. Identification of differentially expressed genes in pituitary adenomas by integrating analysis of microarray data. Int J Endocrinol., 2015, 2015. 164087

[11]

ZhouN, BaoJ. FerrDb: a manually curated resource for regulators and markers of ferroptosis and ferroptosis-disease associations. Database., 2020, 2020baaa021.

[12]

ZhouY, ZhouB, PacheL, et al.. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun., 2019, 1011523.

[13]

XieZ, BaileyA, KuleshovMV, et al.. Gene set knowledge discovery with Enrichr. Curr Protoc., 2021, 13. e90

[14]

WangG, OuyangJ, LiS, et al.. The analysis of risk factors for diabetic nephropathy progression and the construction of a prognostic database for chronic kidney diseases. J Transl Med., 2019, 17264.

[15]

FranzM, RodriguezH, LopesC, et al.. GeneMANIA update 2018. Nucleic Acids Res., 2018, 46(W1): W60-W64.

[16]

DonnellySM, LopezNA, DodinIY. Steepest-descent algorithm for simulating plasma-wave caustics via metaplectic geometrical optics. Phys Rev E., 2021, 1042–2. 025304

[17]

GenhedenS, RydeU. The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities. Expert Opin Drug Discov., 2015, 10(5): 449-461.

[18]

SunY, BerlethN, WuW, et al.. Fin56-induced ferroptosis is supported by autophagy-mediated GPX4 degradation and functions synergistically with mTOR inhibition to kill bladder cancer cells. Cell Death Dis., 2021, 12(11): 1-14.

[19]

ZhangX, GuoY, LiH, et al.. FIN56, a novel ferroptosis inducer, triggers lysosomal membrane permeabilization in a TFEB-dependent manner in glioblastoma. J Cancer., 2021, 12(22): 6610-6619.

[20]

MaruyamaY, IgarashiR, UshikuY, et al.. Analysis of protein folding simulation with moving root mean square deviation. J Chem Inf Model., 2023, 63(5): 1529-1541.

[21]

LobanovMI, BogatyrevaNS, GalzitskaiaOV. Radius of gyration is indicator of compactness of protein structure. Mol Biol (Mosk)., 2008, 42(4): 701-706.

[22]

SharmaP, JoshiT, JoshiT, et al.. Molecular dynamics simulation for screening phytochemicals as α-amylase inhibitors from medicinal plants. J Biomol Struct Dyn., 2021, 39(17): 6524-6538.

[23]

WuX, XuLY, LiEM, et al.. Molecular dynamics simulation study on the structures of fascin mutants. J Mol Recognit., 2023, 361. e2998

[24]

ZhouH, BieS, LiJ, et al.. Comparison on inhibitory effect and mechanism of inhibitors on sPPO and mPPO purified from ‘Lijiang snow’ peach by combining multispectroscopic analysis, molecular docking and molecular dynamics simulation. Food Chem., 2023, 400. 134048

[25]

JhaJC, BanalC, ChowBSM, et al.. Diabetes and kidney disease: role of oxidative stress. Antioxid Redox Signal., 2016, 25(12): 657-684.

[26]

MohammedO, AlemayehuE, BisetegnH, et al.. Prevalence of microalbuminuria among diabetes patients in africa: a systematic review and meta-analysis. Diabetes Metab Syndr Obes., 2023, 16: 2089-2103.

[27]

WangY, BiR, QuanF, et al.. Ferroptosis involves in renal tubular cell death in diabetic nephropathy. Eur J Pharmacol., 2020, 888. 173574

[28]

FengX, WangS, SunZ, et al.. Ferroptosis enhanced diabetic renal tubular injury via HIF-1α/HO-1 pathway. Front Endocrinol., 2021, 12. 626390

[29]

QiuY, CaoY, CaoW, et al.. The application of ferroptosis in diseases. Pharmacol Res., 2020, 159. 104919

[30]

StockwellBR, Friedmann AngeliJP, BayirH, et al.. Ferroptosis: a regulated cell death nexus linking metabolism, redox biology, and disease. Cell., 2017, 171(2): 273-285.

[31]

DixonSJ, LembergKM, LamprechtMR, et al.. Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell., 2012, 149(5): 1060-1072.

[32]

SunQY, ZhouHH, MaoXY. Emerging roles of 5-lipoxygenase phosphorylation in inflammation and cell death. Oxid Med Cell Longev., 2019, 20192749173.

[33]

PoirierSJ, BoudreauLH, FlamandN, et al.. LPS induces ALOX5 promoter activation and 5-lipoxygenase expression in human monocytic cells. Prostaglandins Leukot Essent Fatty Acids., 2020, 154. 102078

[34]

PangX, HeX, QiuZ, et al.. Targeting integrin pathways: mechanisms and advances in therapy. Signal Transduct Target Ther., 2023, 811.

[35]

VegaME, KastbergerB, Wehrle-HallerB, et al.. Stimulation of fibronectin matrix assembly by lysine acetylation. Cells., 2020, 93655.

[36]

ChangTT, ChenJW. The role of chemokines and chemokine receptors in diabetic nephropathy. Int J Mol Sci., 2020, 2193172.

[37]

SatirapojB. Tubulointerstitial biomarkers for diabetic nephropathy. J Diabetes Res., 2018, 20182852398.

[38]

FadiniGP, BonoraBM, CappellariR, et al.. Acute effects of linagliptin on progenitor cells, monocyte phenotypes, and Soluble mediators in Type 2 diabetes. J Clin Endocrinol Metab., 2016, 101(2): 748-756.

[39]

NishadR, MukhiD, KethavathS, et al.. Podocyte derived TNF-α mediates monocyte differentiation and contributes to glomerular injury. FASEB J., 2022, 3612. e22622

[40]

CalleP, HotterG. Macrophage phenotype and fibrosis in diabetic nephropathy. Int J Mol Sci., 2020, 2182806.

[41]

GordonS, MartinezFO. Alternative activation of macrophages: mechanism and functions. Immunity., 2010, 32(5): 593-604.

[42]

KennedyA, FearonU, VealeD, et al.. Macrophages in Synovial Inflammation. Front Immunol., 2011, 252.

[43]

WangX, YaoB, WangY, et al.. Macrophage cyclooxygenase-2 protects against development of diabetic nephropathy. Diabetes., 2017, 66(2): 494-504.

[44]

CuaDJ, TatoCM. Innate IL-17-producing cells: the sentinels of the immune system. Nat Rev Immunol., 2010, 10(7): 479-489.

[45]

LavozC, Rayego-MateosS, OrejudoM, et al.. Could IL-17A be a novel therapeutic target in diabetic nephropathy?. J Clin Med., 2020, 91272.

[46]

LavozC, MatusYS, OrejudoM, et al.. Interleukin-17A blockade reduces albuminuria and kidney injury in an accelerated model of diabetic nephropathy. Kidney Int., 2019, 95(6): 1418-1432.

Funding

the Guizhou Provincial Basic Research Program (Natural Science) (Qiankehe Foundation-ZK [2023] General 428)

Guizhou Provincial Department of Education 2024 Natural Science Research Project ( Youth Science and Technology Talent Growth Project ) (Qiankejiao[2024]116)

the Science and Technology Foundation of Guizhou Provincial Health Commission(gzwkj2022-008)

RIGHTS & PERMISSIONS

The Author(s), under exclusive licence to Huazhong University of Science and Technology

AI Summary AI Mindmap
PDF

59

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/