IF 2.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Muhammad Saiedullah , Nurun Nahar Nila , Zimam Mahmud , Sonia Tamanna , Md. Zahid Hassan , Md. Zakir Hossain Howlader
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引用次数: 0

摘要

胆固醇酯转移蛋白(CETP)基因多态性会影响 CETP 的表达和高密度脂蛋白胆固醇(HDL-c)的水平,但在高密度脂蛋白胆固醇含量普遍偏低的孟加拉国人群中,这些基因多态性的遗传影响仍未得到研究。本研究调查了 402 人(男性 217 人,女性 185 人)中 CETP -629C/A 和 277C/T 多态性与循环 HDL-c 水平的关系。使用自动分析仪测量血清脂质概况,并使用 PCR-RFLP 对 CETP 多态性进行基因分型。-629C/A和277C/T多态性处于哈代-温伯格平衡状态,杂合基因型最为常见。虽然 -629C/A 基因型在高 HDL-c 组和低 HDL-c 组之间没有明显差异,但携带 -629AA 和 CA + AA 基因型的个体与 CC 携带者相比,HDL-c 水平明显更高(p = 0.023,p = 0.043)。对于 277C/T,TT 基因型在高 HDL-c 组和低 HDL-c 组之间存在显著差异(p = 0.011,OR = 0.37),与 CC 基因型相比,携带 277 TT 和 CT + TT 基因型的个体 HDL-c 水平明显更高(p = 0.002,p = 0.019)。此外,等位基因分析表明,277T 等位基因与 HDL-c 水平升高之间存在微弱联系(p = 0.051,OR = 0.59)。多元回归分析证实,-629CC(β = -1.106,p = 0.038)和 277CC + CT(β = -0.963,p = 0.016)与 HDL-c 水平呈反向关系。然而,不同基因型的总胆固醇、甘油三酯、低密度脂蛋白胆固醇或载脂蛋白水平没有明显差异。这些研究结果表明,CETP -629CC、277CC 和 CT 基因型是导致孟加拉国人群 HDL-c 水平低的原因之一,突出了 CETP 基因筛查作为一种生物标志物在识别高密度脂蛋白-c 缺乏及相关心血管并发症高危人群中的潜在作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deciphering the association of cholesteryl ester transfer protein (CETP) gene polymorphisms with high-density lipoprotein cholesterol (HDL-c) levels in the Bangladeshi population
Cholesteryl ester transfer protein (CETP) gene polymorphisms influence CETP expression and high-density lipoprotein cholesterol (HDL-c) levels, yet their genetic impact remains unexplored in the Bangladeshi population, where low HDL-c is prevalent. This study examined the association of CETP −629C/A and 277C/T polymorphisms with circulating HDL-c levels in 402 individuals (217 males, 185 females). Serum lipid profiles were measured using an automated analyzer, and CETP polymorphisms were genotyped using PCR-RFLP. The −629C/A and 277C/T polymorphisms were in Hardy–Weinberg equilibrium, with heterozygous genotypes being the most frequent. While −629C/A genotypes showed no significant difference between the high and low HDL-c groups, individuals carrying the −629AA and CA + AA genotypes had significantly higher HDL-c levels compared to CC carriers (p = 0.023, p = 0.043). For the 277C/T, TT genotype differed significantly between the high and low HDL-c groups (p = 0.011, OR = 0.37) and, individuals carrying the 277 TT and CT + TT genotypes had significantly higher HDL-c compared to the CC genotype (p = 0.002, p = 0.019). Additionally, allelic analysis suggested a marginal association between the 277T allele and increased HDL-c levels (p = 0.051, OR = 0.59). Multiple regression analysis confirmed an inverse association between −629CC (β = −1.106, p = 0.038) and 277CC + CT (β = −0.963, p = 0.016) with HDL-c levels. However, no significant differences were observed in total cholesterol, triglycerides, LDL-c, or apolipoprotein levels across genotypes. These findings suggest that CETP −629CC, 277CC, and CT genotypes contribute to low HDL-c levels in the Bangladeshi population, highlighting the potential role of CETP genetic screening as a biomarker for identifying individuals at risk of HDL-c deficiency and associated cardiovascular complications.
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来源期刊
Biochemistry and Biophysics Reports
Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
191
审稿时长
59 days
期刊介绍: Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.
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