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载脂蛋白 E ε4 等位基因通过载脂蛋白水平对颈动脉粥样硬化进展的影响
Authors Ma W , Zhang L, Luo L, Zhang S, Yang S, Yao H, Zhang L, Lu X, Feng W
Received 22 March 2022
Accepted for publication 14 June 2022
Published 21 June 2022 Volume 2022:15 Pages 653—661
DOI https://doi.org/10.2147/PGPM.S367471
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Martin H Bluth
Background: The apolipoprotein E (ApoE) genetic variation may be involved in the development of Carotid Atherosclerosis (CAS) disease. So far, few data are available on the role of ApoE isoforms in CAS. The association between this ApoE genotype and CAS remains controversial. The aim of this study was to investigate ApoE gene polymorphism in relation to CAS and the relationships between ApoE gene polymorphism and plasma lipid levels in the ShaanXi Han populations.
Patients and methods: The study group enrolled 399 CAS participants and 399 non-CAS controls. ApoE gene polymorphisms were determined by Polymerase chain reaction and hybridization.
Results: The ϵ3/ϵ4 genotype and ϵ4 allele in patients with CAS were significantly higher than control participants. In stratified analyses by age and sex, the elevated risk conferred by ɛ4 allele was evident in adults under 60 years old, but not in adults over 60 years old, females and males. ϵ4 carriers had significantly elevated ApoB and ApoB/ApoA and decreased ApoE levels than ϵ2 carriers in CAS patients. After adjusting for confounding factors, hypertension, ApoA-I, low density lipoprotein cholesterol (LDL-C), triglycerides (TG) and ϵ4 allele were significant independent risk factor for CAS. ApoE-ϵ4 allele was associated with a nearly 1.5-fold increased risk of CAS.
Conclusion: This study provides convincing evidence that ϵ4 allele, hypertension, ApoA-I, LDL-C and TG levels are independent risk factor for CAS in the ShaanXi Han populations. ApoE polymorphism was associated with CAS and this association was partly mediated through blood lipids. Also, the clinical use of genomic data may become useful in optimizing individual preventative and therapeutic strategies.
Keywords: apolipoprotein E, carotid atherosclerosis, gene polymorphism, blood lipids