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CYP2C19低代谢状态和高系统炎症反应指数是早发心肌梗死的独立危险因素:一项基于医院的回顾性研究

 

Authors Han W, Xiong N, Zhong R, Pan Z

Received 30 July 2024

Accepted for publication 22 October 2024

Published 28 October 2024 Volume 2024:17 Pages 4959—4969

DOI https://doi.org/10.2147/IJGM.S489235

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Yuriy Sirenko

Wendao Han, Nating Xiong, Renkai Zhong, Zhongyi Pan

Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou Academy of Medical Sciences, Meizhou, People’s Republic of China

Correspondence: Wendao Han, Department of Blood Transfusion, Meizhou People’s Hospital, Meizhou, People’s Republic of China, Email 443567914@qq.com

Objective: Atherosclerosis (AS) is a sustained chronic vascular inflammatory response caused by lipid metabolism disorders and immune response disorders and is the main cause of premature (men ≤ 55 years old, women ≤ 65 years old) myocardial infarction (PMI). Cytochrome P450 2C19 (CYP2C19) (related to vascular function and lipid metabolism) and peripheral immune cell levels and plays an important role in the course of AS. The association CYP2C19 polymorphisms, comprehensive immunoinflammatory indices with PMI susceptibility is unclear.
Methods: This study included 485 PMI patients, and 639 age-matched non-PMI individuals as controls, from January 2019 to March 2024. The relationship between CYP2C19 polymorphisms, peripheral immunoinflammatory indices (pan-immune inflammation value (PIV), systemic immune inflammation index (SII), and system inflammation response index (SIRI)) and PMI risk were analyzed.
Results: The inflammatory indices levels in PMI patients were higher than those in controls (all p< 0.05). The frequencies of the CYP2C19 *1/*2 and *2/*2 genotypes were higher, while the frequency of the *1/*1 genotype was lower in the PMI patients than those in controls. The cut-off values of TC, TG, LDL-C, PIV, SII, and SIRI were 5.065, 1.305, 2.805, 410.485, 869.645, and 1.495 for distinguishing PMI, respectively. Logistic regression analysis showed that male (odds ratio (OR): 1.607, 95% confidence interval (CI): 1.134– 2.277, p=0.008), history of smoking (OR: 7.108, 95% CI: 4.351– 11.614, p< 0.001), diabetes mellitus (OR: 4.906, 95% CI: 3.333– 7.223, p< 0.001), CYP2C19 poor metabolizer (PM) (*2/*2, *2/*3, and *3/*3) (OR: 2.147, 95% CI: 1.279– 3.603, p=0.004), and high TG (≥ 1.305 vs < 1.305, OR: 2.598, 95% CI: 1.864– 3.623, p< 0.001) and SIRI level (≥ 1.495 vs < 1.495, OR: 2.495, 95% CI: 1.432– 4.349, p=0.001) were independent risk factors for PMI.
Conclusion: CYP2C19 PM phenotype, high SIRI level (≥ 1.495) and TG level (≥ 1.305), male, history of smoking, and diabetes mellitus were independently associated with PMI susceptibility.

Keywords: premature myocardial infarction, system inflammation response index, CYP2C19, polymorphism