Identifying PTAFR as a hub gene in atherosclerosis: implications for NETosis and disease progression

• Published in: Human genomics Vol. 18; no. 1; pp. 139 - 14
• Main Authors: Ye, Chaowen, Zhao, Yunli, Yu, Wei, Huang, Rongzhong, Hu, Tianyang
• Format: Journal Article
• Language: English
• Published: England BioMed Central 21.12.2024; BMC
• Subjects: Animals; Arteriosclerosis; Atherosclerosis; Atherosclerosis - genetics; Atherosclerosis - pathology; Bioinformatics; Biomarkers - metabolism; Cardiovascular disease; Cardiovascular diseases; Computational Biology - methods; Coronary vessels; Datasets; Disease Models, Animal; Disease Progression; Extracellular Traps - genetics; Extracellular Traps - metabolism; Flow cytometry; Gene expression; Gene Expression Profiling; Gene set enrichment analysis; Genetic engineering; Heart attacks; Humans; Immunofluorescence; Immunohistochemistry; Ischemia; Leukocytes (neutrophilic); Machine Learning; Macrophages; Male; Mice; Mice, Inbred C57BL; NETosis; NETs; Neutrophils; Neutrophils - metabolism; Neutrophils - pathology; Patients; Prognosis; PTAFR; siRNA; Smooth muscle; Support vector machines; Vein & artery diseases; NETs; NETosis; Cardiovascular diseases; Atherosclerosis; PTAFR

Atherosclerosis (AS) is a major cause of cardiovascular diseases and neutrophil extracellular traps (NETs) may be actively involved in the development of atherosclerosis. Identifying key biomarkers in this process is essential for developing targeted treatments for AS. We performed bioinformatics an...