Literature DB >> 30363031

The association between the SLCO1B1, apolipoprotein E, and CYP2C9 genes and lipid response to fluvastatin: a meta-analysis.

Qian Xiang1, Xiaodan Zhang, Lingyue Ma, Kun Hu, Zhuo Zhang, Guangyan Mu, Qiufen Xie, Shuqing Chen, Yimin Cui.   

Abstract

OBJECTIVE: The aim of this study was to determine the impact of the SLCO1B1, apolipoprotein E (ApoE), and CYP2C9 genotypes on the lipid-lowering efficacy of fluvastatin.
METHODS: We performed electronic searches on the PubMed, Embase, and Cochrane Library databases to identify studies published through October 2017. Studies that reported the effect estimates with 95% confidence intervals (CIs) of total cholesterol (TC), triglyceride, low-density lipoprotein (LDL), and high-density lipoprotein were included so that the different genotype categories could be compared. Weighted mean difference (WMD) was used to summarize the effect estimates.
RESULTS: Six studies, involving a total of 1171 individuals, were included in the final analysis. We noted that the patient carrier SLCO1B1 521TT was associated with greater change in TC (WMD: -2.98; 95% CI: -5.12 to -0.84; P=0.006) and LDL (WMD: -5.58; 95% CI: -10.64 to -0.52; P=0.031) compared with 521TC or CC. Furthermore, the patient carrier ApoE*2/*3 showed more change in high-density lipoprotein compared with ApoE*3/*3 (WMD: 18.76; 95% CI: 8.97-28.55; P<0.001) and ApoE*3/*4 or *4/*4 (WMD: 22.51; 95% CI: 0.98-44.04; P=0.040). Finally, the CYP2C9 genotypes showed no correlation with the effects of fluvastatin on TC, triglyceride, and LDL.
CONCLUSION: The findings of this study suggested that the SLCO1B1 and ApoE polymorphisms could influence the lipid-lowering effect of fluvastatin, whereas the CYP2C9 genotypes were not associated with the therapeutic effects of fluvastatin.

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Year:  2018        PMID: 30363031     DOI: 10.1097/FPC.0000000000000356

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  4 in total

Review 1.  Genetics, Dyslipidemia, and Cardiovascular Disease: New Insights.

Authors:  Ricardo Stein; Filipe Ferrari; Fernando Scolari
Journal:  Curr Cardiol Rep       Date:  2019-06-21       Impact factor: 2.931

Review 2.  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

3.  The influence of single-nucleotide polymorphisms on overall survival and toxicity in cabazitaxel-treated patients with metastatic castration-resistant prostate cancer.

Authors:  Bodine P S Belderbos; Mirjam de With; Rajbir K Singh; Bram C Agema; Samira El Bouazzaoui; Esther Oomen-de Hoop; Ronald de Wit; Ron H N van Schaik; Ron H J Mathijssen; Sander Bins
Journal:  Cancer Chemother Pharmacol       Date:  2020-01-01       Impact factor: 3.333

4.  Pharmacogenetic information in Swiss drug labels - a systematic analysis.

Authors:  C Jeiziner; K Suter; U Wernli; J M Barbarino; L Gong; M Whirl-Carrillo; T E Klein; T D Szucs; K E Hersberger; H E Meyer Zu Schwabedissen
Journal:  Pharmacogenomics J       Date:  2020-10-17       Impact factor: 3.550

  4 in total

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