ArticleFrontiers in immunology2022
Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 50 citations in OpenAlex.
- Integrative Multi-Omics and Machine Learning Identify ID1 as a Candidate Gene Associated with Abdominal Aortic Aneurysm.Current issues in molecular biology · 2026Article
- A diagnostic model of atherosclerosis based on the oxidative stress-glycolysis co-regulatory network.Molecular and cellular biochemistry · 2026Article
- Expression of immune-related genes and possible regulatory mechanisms in ulcerative colitis.Frontiers in molecular biosciences · 2026Article
- A narrative review of recent literature of circulating biomarkers of abdominal aortic aneurysm.JVS-vascular science · 2026Review
- Determining IFI44 as a key lupus nephritis's biomarker through bioinformatics and immunohistochemistry.Renal failure · 2025Article
- Recent advances on the role of G0S2.Discover oncology · 2025Review
- Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments.Scientific reports · 2025Article
- Identifying nexilin as a central gene in neutrophil-driven abdominal aortic aneurysm pathogenesis.Molecular medicine (Cambridge, Mass.) · 2025Article
- Lipid Biomarkers and Cardiometabolic Diseases: Critical Knowledge Gaps and Future Research Directions.Metabolites · 2025Article
- FAM83A-AS1 predicts severe development of non-small cell lung cancer and adverse postoperative prognosis of thoracotomy.Journal of cardiothoracic surgery · 2025Article
- Trained immunity in atherosclerosis: plasticity, metabolic-vascular axis, and AI-driven precision remodeling.Frontiers in immunology · 2025Review
- Cellular Senescence Genes as Cutting-Edge Signatures for Abdominal Aortic Aneurysm Diagnosis: Potential for Innovative Therapeutic Interventions.Journal of cellular and molecular medicine · 2025Article
- Macrophage polarization and metabolic reprogramming in abdominal aortic aneurysm.Immunity, inflammation and disease · 2024Review
- Data-driven rapid detection ofHeliyon · 2024Article
- Review
- Innovation in pathogenesis and management of aortic aneurysm.World journal of experimental medicine · 2024Review
- Comprehensive transcriptomic analysis unveils macrophage-associated genes for establishing an abdominal aortic aneurysm diagnostic model and molecular therapeutic framework.European journal of medical research · 2024Article
- A bibliometric analysis of abdominal aortic aneurysm (2014-2024).Frontiers in cardiovascular medicine · 2024Article
- Identifying Hub Genes for Glaucoma based on Bulk RNA Sequencing Data and Multi-machine Learning Models.Current medicinal chemistry · 2024Article
- Feature genes identification and immune infiltration assessment in abdominal aortic aneurysm using WGCNA and machine learning algorithms.Frontiers in cardiovascular medicine · 2024Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenesis, developing novel targeted therapeutics, and possibly improving patients outcomes and risk of rupture. Here, we identified AAA biomarkers from public databases using single-cell RNA-sequencing, weighted co-expression network (WGCNA), and differential expression analyses. Additionally, we used the multiple machine learning methods to identify biomarkers that differentiated large AAA from small AAA. Biomarkers were validated using GEO datasets. CIBERSORT was used to assess immune cell infiltration into AAA tissues and investigate the relationship between biomarkers and infiltrating immune cells. Therefore, 288 differentially expressed genes (DEGs) were screened for AAA and normal samples. The identified DEGs were mostly related to inflammatory responses, lipids, and atherosclerosis. For the large and small AAA samples, 17 DEGs, mostly related to necroptosis, were screened. As biomarkers for AAA, G0/G1 switch 2 (
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