Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm.

Journal: Frontiers in immunology

PMID: 39723205

Abstract

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.

Authors

Zonglin Han

Department of Vascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Xiulian Lu

Cisen Pharmaceutical Co., Ltd, Jining, Shandong, China.
Yuxiang He

Department of Vascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Tangshan Zhang

Department of Vascular Surgery, Jinan Seventh People's Hospital, Jinan, Shandong, China.
Zhengtong Zhou

Department of Vascular Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, Shandong, China.
Jingyong Zhang

Department of Vascular Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Hua Zhou

Department of Biostatistics, UCLA.

Keywords

Algorithms Animals Aortic Aneurysm, Abdominal Biomarkers Computational Biology Disease Models, Animal Ferroptosis Gene Expression Profiling Humans Machine Learning Male Mice Proto-Oncogene Proteins c-pim-1 RNA-Seq Single-Cell Gene Expression Analysis

External Resources

View on PubMed Access via DOI PubMed (39723205)

Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm.

Abstract

Authors

Keywords

External Resources

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