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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Inflammation
Volume 15 - 2024 |
doi: 10.3389/fimmu.2024.1486209
Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with Cuproptosis and Ferroptosis in abdominal aortic aneurysm
Provisionally accepted- Shandong Provincial Hospital, Jinan, China
Background: Abdominal aortic aneurysm (AAA) is a serious life-threatening vascular disease, and its ferroptosis/cuproptosis markers have not yet been characterized. This study was aiming to identify markers associated with ferroptosis/ cuproptosis in AAA by bioinformatics analysis combined with machine learning models and to perform experimental validation.Metrhods:This study used three scRNA-seq datasets from different mouse models and a human PBMC bulk RNA-seq dataset. Candidate genes were identified by integrated analysis of scRNA-seq, cell communication analysis, monocle pseudo-time analysis, and hdWGCNA analysis. Four machine learning algorithms, LASSO, REF, RF and SVM, were used to construct a prediction model for the PBMC dataset, the above results were comprehensively analyzed, and the targets were confirmed by RT-qPCR.Results: scRNA-seq analysis showed Mo/MF as the most sensitive cell type to AAA, and 34 cuproptosis associated ferroptosis genes were obtained. Pseudo-time series analysis, hdWGCNA and machine learning prediction model construction were performed on these genes. Subsequent comparison of the above results showed that only PIM1 appeared in all algorithms. RT-qPCR and western blot results were consistent with sequencing results, showing that PIM1 was significantly upregulated in AAA.In a conclusion, PIM1 as a novel biomarker associated with cuproptosis/ferroptosis in AAA was highlighted.
Keywords: PIM1, ferroptosis, cuproptosis, Abdominal Aortic Aneurysm, WGCNA
Received: 25 Aug 2024; Accepted: 18 Nov 2024.
Copyright: © 2024 Han, He, Zhang, Zhou, Zhang and Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hua Zhou, Shandong Provincial Hospital, Jinan, China
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