ArticleApoptosis : an international journal on programmed cell death2024
Significance of neutrophil extracellular traps-related gene in the diagnosis and classification of atherosclerosis.
Article in Apoptosis : an international journal on programmed cell death, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Machine learning-based transcriptomic analysis of differentially expressed genes in the epithelium and stroma of keratoconus.Human genomics · 2026Article
- Identification and validation of programmed cell death related biomarkers for the treatment and prevention COVID-19.Annals of medicine · 2025Article
- Aggregate index of systemic inflammation as a new prognostic marker in patients with coronary artery disease undergoing PCI.Scientific reports · 2025Article
- Resolution of Ascending Aorta and Pulmonary Vein Thrombi With Apixaban Therapy: A Case Study.Cureus · 2025Article
- Mechanism of Red Yeast Rice in the Improvement of Atherosclerosis in Apolipoprotein E-deficient Mice Explored Through Metabolomics Combined with Serum Pharmacochemistry and Network Pharmacology.Plant foods for human nutrition (Dordrecht, Netherlands) · 2025Article
- Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.Apoptosis : an international journal on programmed cell death · 2025Article
- Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis.International journal of molecular sciences · 2025Article
- Exploring Neutrophil Extracellular Traps in Cardiovascular Pathologies: The Impact of Lipid Profiles, PAD4, and Radiation.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2025Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Atherosclerosis (AS) is a pathological process associated with various cardiovascular diseases. Upon different stimuli, neutrophils release reticular complexes known as neutrophil extracellular traps (NETs). Numerous researches have indicated a strong correlation between NETs and AS. However, its role in cardiovascular disease requires further investigation. By utilizing a machine learning algorithm, we examined the genes associated with NETs that were expressed differently in individuals with AS compared to normal controls. As a result, we identified four distinct genes. A nomogram model was built to forecast the incidence of AS. Additionally, we conducted analysis on immune infiltration, functional enrichment and consensus clustering in AS samples. The findings indicated that individuals with AS could be categorized into two groups, exhibiting notable variations in immune infiltration traits among the groups. Furthermore, to measure the NETs model, the principal component analysis algorithm was developed and cluster B outperformed cluster A in terms of NETs. Additionally, there were variations in the expression of multiple chemokines between the two subtypes. By studying AS NETs, we acquired fresh knowledge about the molecular patterns and immune mechanisms implicated, which could open up new possibilities for AS immunotherapy.
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Registered trials
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