Evidence map›Paper›PMID 39472784›Full record

ArticleBMC cardiovascular disorders2024

CYP2C19 loss-of-function variants are independent risk factors for premature cerebral infarction: a hospital based retrospective study.

Yuliang Shi, Yuxian Yang, Miaoling Feng, Heming Wu

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Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Yuliang ShiDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China.
Yuxian YangDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China.
Miaoling FengDepartment of Neurology, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China.
Heming WuDepartment of Prenatal Diagnostic Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China. wuheming1986@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCytochrome P450 2C19 (CYP2C19) plays an vital role in the course of cardiovascular and cerebrovascular diseases by affecting lipid metabolism. Triglyceride-glucose (TyG) is a comprehensive index composed of triglyceride and blood glucose, has relationship with some diseases. There was no research report on the association CYP2C19 polymorphisms, TyG with premature cerebral infarction (CI) (onset ≤ 65 years old) susceptibility.

methodsThis study retrospectively analyzed 1953 CI patients aged ≤ 65 years old from December 2018 to March 2024, and 1919 age-matched individuals with non-CI as controls. The relationship between CYP2C19 polymorphisms, TyG and premature CI risk were analyzed.

resultsThe proportion of hypertension, and diabetes mellitus in patients with premature CI was higher than those in controls. The serum total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), and TyG levels in patients with premature CI were significantly higher than those in controls (all p < 0.05). The patients had lower CYP2C19 *1 allele frequency (63.3% vs. 69.6%, p < 0.001) and higher CYP2C19 *2 allele frequency (31.3% vs. 25.4%, p < 0.001) than controls. Logistic regression analysis showed that smoking history (odds ratio (OR): 1.193, 95% confidence interval (CI): 1.002-1.422, p = 0.048), hypertension (OR: 3.371, 95% CI: 2.914-3.898, p < 0.001), diabetes mellitus (OR: 1.911, 95% CI: 1.632-2.237, p < 0.001), CYP2C19 intermediate metabolizer (IM) + poor metabolizer (PM) phenotypes (OR: 1.424, 95% CI: 1.243-1.631, p < 0.001), and dyslipidemia (OR: 1.294, 95% CI: 1.077-1.554, p = 0.006) were independent risk factors for premature CI.

conclusionsHistory of smoking, hypertension, diabetes mellitus, dyslipidemia, and CYP2C19 IM + PM phenotypes were independently associated with premature CI susceptibility.

Indexed as

Cerebral InfarctionCytochrome P-450 CYP2C19Genetic Predisposition to DiseasePhenotypeTriglyceridesAdultAge of OnsetBiomarkersBlood GlucoseChinaFemaleGene FrequencyHumansMaleMiddle AgedRetrospective StudiesBiomarkersBlood GlucoseCYP2C19 protein, humanCytochrome P-450 CYP2C19TriglyceridesCYP2C19DyslipidemiaPremature cerebral infarctionTriglyceride-glucose index

Identifiers

PMID39472784
PMCPMC11520391

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