» Articles » PMID: 36755968

Biomarkers Associated with Immune Checkpoint, N6-Methyladenosine, and Ferroptosis in Patients with Restenosis

Overview
Journal J Inflamm Res
Publisher Dove Medical Press
Date 2023 Feb 9
PMID 36755968
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: This study aimed to identify potential diagnostic markers of restenosis after stent implantation and to determine their association with immune checkpoint, ferroptosis, and N6-methyladenosine (m6A).

Patients And Methods: Microarray data were downloaded from the National Center for Biotechnology Information (NCBI: GSE46560 and GSE48060 datasets) to identify differentially expressed genes (DEGs) between in-stent restenosis and no-restenosis samples. We then conducted systematic functional enrichment analyses of the DEGs based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and further predicted the interactions of different proteins using the Search Tool for the Retrieval of Interacting Genes (STRING). We used the MCC and MCODE algorithms in the cytoHubba plug-in to screen three key genes in the network, and employed receiver operating characteristic (ROC) curves to determine their diagnostic significance using a multiscale curvature classification algorithm. Next, we investigated the relationships between these target genes, immune checkpoint, ferroptosis, and m6A. Finally, quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the above results.

Results: We identified 62 upregulated genes and 243 downregulated genes. Based on GO, KEGG, and screening results, EEF1D, RPL36, and RPSA are promising genes for predicting restenosis. In addition, the methylation of YTHDF2, the ferroptosis-related gene GLS2, and the immune checkpoint-related gene CTLA4 were observed to be associated with restenosis. The qRT-PCR test confirmed that RPSA and RPL36 are useful diagnostic markers of the restenosis that can provide new insights for future studies on its occurrence and molecular mechanisms.

Conclusion: We found that RPSA and RPL36, as useful diagnostic markers of restenosis, can provide new insights for future studies on its occurrence and molecular mechanisms.

References
1.
Liu T, Lin T, Ren L, Li G, Peng J . [Association of gene expression with the risk of in-stent restenosis in patients with coronary artery disease after drug-eluting stent implantation and the effects and mechanisms of on human vascular endothelial cells]. Beijing Da Xue Xue Bao Yi Xue Ban. 2020; 52(5):856-862. PMC: 7653433. View

2.
Li T, Zeng Z . Adiponectin as a potential therapeutic target for the treatment of restenosis. Biomed Pharmacother. 2018; 101:798-804. DOI: 10.1016/j.biopha.2018.03.003. View

3.
Zhao E, Bai X . Nomogram Based on microRNA Signature Contributes to Improve Survival Prediction of Clear Cell Renal Cell Carcinoma. Biomed Res Int. 2020; 2020:7434737. PMC: 7128070. DOI: 10.1155/2020/7434737. View

4.
Wu Y, Fu X . Comprehensive analysis of predictive factors for rapid angiographic stenotic progression and restenosis risk in coronary artery disease patients underwent percutaneous coronary intervention with drug-eluting stents implantation. J Clin Lab Anal. 2018; 33(2):e22666. PMC: 6818547. DOI: 10.1002/jcla.22666. View

5.
Her A, Shin E . Current Management of In-Stent Restenosis. Korean Circ J. 2018; 48(5):337-349. PMC: 5940640. DOI: 10.4070/kcj.2018.0103. View