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中性粒细胞胞外诱捕网相关基因特征揭示了冠状动脉粥样硬化的前瞻性治疗策略
Authors Li Z, Zhao W, Ji W, Li Z, Wang K, Jiang T
Received 5 September 2024
Accepted for publication 19 November 2024
Published 28 November 2024 Volume 2024:17 Pages 9925—9951
DOI https://doi.org/10.2147/JIR.S489847
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Tara Strutt
Zhetao Li,1 Wansong Zhao,2 Wenbo Ji,3 Zhaoshui Li,1 Kuo Wang,4 Ting Jiang1
1Heart Center, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, People’s Republic of China; 2Operating Room Department, Qingdao Municipal Hospital, Qingdao, People’s Republic of China; 3Operating Room Department, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, People’s Republic of China; 4Preventive and Health Care Department, Qingdao Hiser Hospital Affiliated of Qingdao University (Qingdao Traditional Chinese Medicine Hospital), Qingdao, People’s Republic of China
Correspondence: Ting Jiang; Kuo Wang, Email jiangting@qdu.edu.cn; wangkuo4321@163.com
Background: Coronary atherosclerosis (CA) is a major cause of coronary artery disease (CHD), with inflammation significantly influencing its pathogenesis. This study explores the role of neutrophil extracellular traps (NETs) in CA to understand their influence on disease progression.
Methods: Using the GEO database, we analyzed RNA expression microarray data from CA patients, identifying NET-related differentially expressed genes (NETDEGs) through logistic regression, SVM, and LASSO operator regression analyses. CA samples were categorized into risk subgroups based on gene traits, with further analysis on the biological characteristics and immune cell infiltration of the high-risk subgroup. Additionally, transcription factor (TF)-gene, microRNA (miRNA)-gene, and RNA binding protein (RBP)-gene regulatory networks were investigated, alongside a protein-drug network to propose potential targeting therapies. Expression levels of NETDEGs were validated via qRT-PCR and Western blotting.
Results: Three NETDEGs—MMP9, ERN1, and G0S2—were pinpointed as key players in CA development, regulated by TFs, miRNAs, and RBPs. These genes defined high-risk subgroups marked by intense inflammatory signaling and apoptosis. High neutrophil infiltration correlated positively with NETDEG expression in CA samples, supporting their potential as biomarkers. MMP9 emerged as a notable drug target, providing a possible therapeutic avenue.
Conclusion: This research highlights an independent NETDEG trait in CA, offering insights into potential biomarkers and therapeutic targets for combating this disease.
Keywords: neutrophil extracellular traps, coronary atherosclerosis, biomarker, therapy target