Literature DB >> 23247049

Genetic variants in genes related to lipid metabolism and atherosclerosis, dyslipidemia and atorvastatin response.

A C Rodrigues1, B Sobrino, F D V Genvigir, M A V Willrich, S S Arazi, E L Dorea, M M S Bernik, M Bertolami, A A Faludi, M J Brion, A Carracedo, M H Hirata, R D C Hirata.   

Abstract

OBJECTIVE: Using candidate gene approach, we have investigated the effect of single nucleotide polymorphism (SNP) in genes related to lipid metabolism and atherosclerosis on dyslipidemia and atorvastatin response.
METHODS: The study included 157 patients treated with atorvastatin and 145 controls. Genomic DNA was isolated and genotyped using SNPlex technology.
RESULTS: Allele and genotype disease association test revealed that APOB rs693 (OR: 2.2 [1.5-3.2], p=0.0001) and CD36 rs1984112 (OR: 3.7 [1.9-7.0], p=0.0002) SNPs were independent risk factors for hypercholesterolemia. Only APOB rs693 T variant allele was associated with increased LDL cholesterol levels (>160mg/dL). After atorvastatin treatment (10mg/day/4weeks), LIPC -514T allele was positively associated with LDL cholesterol reduction.
CONCLUSION: The current study reinforces the current knowledge that carrying APOB rs693 is an independent risk factor for dyslipidemia and higher LDL levels. Furthermore, we found that a variant of CD36 was associated with dyslipidemia as a risk (rs1984112) factor. Finally, atorvastatin response could be predicted by LIPC -514C>T SNP and physical activity. In conclusion, our data evidences the contribution of genetic markers and their interaction with environmental factor in the variability of statin response.
Copyright © 2012 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23247049     DOI: 10.1016/j.cca.2012.11.028

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  8 in total

Review 1.  Pharmacogenomics of statins: lipid response and other outcomes in Brazilian cohorts.

Authors:  Carolina Dagli-Hernandez; Yitian Zhou; Volker Martin Lauschke; Fabiana Dalla Vecchia Genvigir; Thiago Dominguez Crespo Hirata; Mario Hiroyuki Hirata; Rosario Dominguez Crespo Hirata
Journal:  Pharmacol Rep       Date:  2021-08-17       Impact factor: 3.024

2.  Genetic modulation of anemia severity, hemolysis level, and hospitalization rate in Angolan children with Sickle Cell Anemia.

Authors:  Isabel Germano; Brígida Santos; Mariana Delgadinho; Catarina Ginete; Pedro Lopes; Ana Paula Arez; Miguel Brito; Paula Faustino
Journal:  Mol Biol Rep       Date:  2022-09-12       Impact factor: 2.742

3.  No impact of SLCO1B1 521T>C, 388A>G and 411G>A polymorphisms on response to statin therapy in the Greek population.

Authors:  E Giannakopoulou; G Ragia; V Kolovou; A Tavridou; A D Tselepis; M Elisaf; G Kolovou; V G Manolopoulos
Journal:  Mol Biol Rep       Date:  2014-03-26       Impact factor: 2.316

4.  SNPs, linkage disequilibrium, and chronic mountain sickness in Tibetan Chinese.

Authors:  Norman E Buroker; Xue-Han Ning; Zhao-Nian Zhou; Kui Li; Wei-Jun Cen; Xiu-Feng Wu; Wei-Zhong Zhu; C Ronald Scott; Shi-Han Chen
Journal:  Hypoxia (Auckl)       Date:  2017-07-14

Review 5.  Genetic determinants of inherited susceptibility to hypercholesterolemia - a comprehensive literature review.

Authors:  C S Paththinige; N D Sirisena; Vhw Dissanayake
Journal:  Lipids Health Dis       Date:  2017-06-02       Impact factor: 3.876

6.  Effect of statins on lipid metabolism-related microRNA expression in HepG2 cells.

Authors:  Alvaro Cerda; Raul Hernandes Bortolin; Victor Manriquez; Luis Salazar; Tomas Zambrano; Cristina Moreno Fajardo; Mario Hiroyuki Hirata; Rosario Dominguez Crespo Hirata
Journal:  Pharmacol Rep       Date:  2021-03-15       Impact factor: 3.024

7.  Variants in the APOB gene was associated with Ischemic Stroke susceptibility in Chinese Han male population.

Authors:  Feng Zhou; Tie Guo; Lv Zhou; Yanhui Zhou; Dan Yu
Journal:  Oncotarget       Date:  2017-12-18

8.  Risk prediction model of dyslipidaemia over a 5-year period based on the Taiwan MJ health check-up longitudinal database.

Authors:  Xinghua Yang; Chaonan Xu; Yunfeng Wang; Chunkeng Cao; Qiushan Tao; Siyan Zhan; Feng Sun
Journal:  Lipids Health Dis       Date:  2018-11-17       Impact factor: 3.876

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.