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Association of SLCO1B1 Polymorphisms and Atorvastatin Safety and Efficacy: A Meta-analysis. Du Yaming,Wang Sizheng,Chen Zhangyong,Sun Shusen,Zhao Zhigang,Li Xingang Current pharmaceutical design BACKGROUND:Atorvastatin is the best-selling statin in the market. However, some patients have to reduce drug doses or discontinue atorvastatin therapy mainly due to adverse drug reactions (ADRs). Genetic factors play an important role in the occurrence of ADRs. AIM:This study aimed to investigate the association between SLCO1B1 polymorphisms (c.521T>C or c.388A>G) and atorvastatin safety and efficacy. METHODS:We systematically searched PubMed, Web of Science and Embase to screen relevant studies published before Sep 2018. This meta-analysis was performed to identify the relationship between SLCO1B1 c.521T>C or c.388A>G polymorphisms and atorvastatin-related ADRs by the odds ratios (ORs) and 95% confidence intervals (CIs). The relationship of SLCO1B1 polymorphisms and lipid-lowering effects [low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC)] was assessed in pooled data by calculating the mean difference (MD) with 95% CIs. All statistical tests were performed by the Review Manager 5.3 software. RESULTS:A total of 13 studies involving 1,550 atorvastatin users were included in this analysis. There was a significant association between the SLCO1B1 c.521T>C polymorphism and atorvastatin-related ADRs associated with risk allele C (dominant model: OR=1.57, P=0.01). Allele C is associated with increased lipid-lowering efficacy in people with Hyperlipidemias as compared to allele T (LDL-C/dominant model: MD=6.19, P<0.00001 and (TC)/dominant model: MD=2.07, P=0.008). No association between the SLCO1B1 c.388A>G polymorphism and ADRs or efficacy was observed (P>0.05). CONCLUSION:SLCO1B1 c.521T>C polymorphism is a valuable biomarker for the evaluation of atorvastatin safety and efficacy. 10.2174/1381612825666181219163534
Clinicians' Reports in Electronic Health Records Versus Patients' Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin. Topaz Maxim,Lai Kenneth,Dhopeshwarkar Neil,Seger Diane L,Sa'adon Roee,Goss Foster,Rozenblum Ronen,Zhou Li Drug safety INTRODUCTION:Large databases of clinician reported (e.g., allergy repositories) and patient reported (e.g., social media) adverse drug reactions (ADRs) exist; however, whether patients and clinicians report the same concerns is not clear. OBJECTIVES:Our objective was to compare electronic health record data and social media data to better understand differences and similarities between clinician-reported ADRs and patients' concerns regarding aspirin and atorvastatin. METHODS:This pilot study explored a large repository of electronic health record data and social media data for clinician-reported ADRs and patients concerns for two common medications: aspirin (n = 31,817 ADRs accessible in clinical data; n = 19,186 potential ADRs accessible in social media data) and atorvastatin (n = 15,047 ADRs accessible in clinical data; n = 23,408 potential ADRs accessible in social media data). RESULTS:We found that the most frequently reported ADRs matched the most frequent patients' concerns. However, several less frequently reported reactions were more prevalent on social media (i.e., aspirin-induced hypoglycemia was discussed only on social media). Overall, we found a relatively strong positive and statistically significant correlation between the frequency ranking of reactions and patients' concerns for atorvastatin (Pearson's r = 0.61, p < 0.001) but not for aspirin (Pearson's r = 0.1, p = 0.69). CONCLUSION:Future studies should develop further natural language methods for a more detailed data analysis (i.e., identifying causality and temporal aspects in the social media data). 10.1007/s40264-015-0381-x
ABCG2 gene polymorphisms as risk factors for atorvastatin adverse reactions: a case-control study. Mirošević Skvrce Nikica,Macolić Šarinić Viola,Šimić Iveta,Ganoci Lana,Muačević Katanec Diana,Božina Nada Pharmacogenomics AIM:To explore the association between dose-related adverse drug reactions (ADRs) of atorvastatin and polymorphisms of ABCG2, taking into account the influence of CYP3A4 and SLCO1B1 genes. MATERIALS & METHODS:Sixty patients who experienced atorvastatin dose-related ADRs and 90 matched patients without ADRs were enrolled in the study. Genotyping for ABCG2 421C > A, CYP3A4*22, SLCO1B1 388A > G, SLCO1B1 521T > C variants was performed by real-time PCR. RESULTS:Patients with ABCG2 421CA or AA genotypes had 2.9 times greater odds of developing atorvastatin dose-dependent ADRs (OR: 2.91; 95% CI: 1.22-6.95; p = 0.016) than those with ABCG2 421CC genotype. After adjustments for clinical and genetic risk factors, ABCG2 remained a statistically significant predictor of adverse drug reactions (OR: 2.75; 95% CI: 1.1-6.87; p = 0.03;). Also, carriers of SLCO1B1 521 TC or CC genotypes had 2.3 greater odds (OR: 1.03-4.98; 95% CI: 1.03-4.98; p = 0.043) of experiencing ADRs caused by atorvastatin in comparison with carriers of SLCO1B1 521 TT genotype. CONCLUSION:Our study demonstrated an association between atorvastatin-induced ADRs and genetic variants in the ABCG2 gene. 10.2217/pgs.15.47
Prediction of pharmacokinetic drug-drug interactions causing atorvastatin-induced rhabdomyolysis using physiologically based pharmacokinetic modelling. Li Size,Yu Yiqun,Jin Zhiping,Dai Yu,Lin Haishu,Jiao Zheng,Ma Guo,Cai Weimin,Han Bing,Xiang Xiaoqiang Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Atorvastatin and its lactone form metabolite are reported to be associated with statin-induced myopathy (SIM) such as myalgia and life-threatening rhabdomyolysis. Though the statin-induced rhabdomyolysis is not common during statin therapy, its incidence will significantly increase due to pharmacokinetic drug-drug interactions (DDIs) with inhibitor drugs which inhibit atorvastatin's and its lactone's metabolism and hepatic uptake. Thus, the quantitative analysis of DDIs of atorvastatin and its lactone with cytochrome P450 3A4 (CYP3A4) and organic anion-transporting polypeptide (OATP) inhibitors is of great importance. This study aimed to predict pharmacokinetic DDIs possibly causing atorvastatin-induced rhabdomyolysis using Physiologically Based Pharmacokinetic (PBPK) Modelling. Firstly, we refined the PBPK models of atorvastatin and atorvastatin lactone for predicting the DDIs with CYP3A4 and OATP inhibitors. Thereafter, we predicted the exposure changes of atorvastatin and atorvastatin lactone originating from the case reports of atorvastatin-induced rhabdomyolysis using the refined models. The simulation results show that pharmacokinetic DDIs of atorvastatin and its lactone with fluconazole, palbociclib diltiazem and cyclosporine are significant. Consequently, clinicians should be aware of necessary dose adjustment of atorvastatin being used with these four inhibitor drugs. 10.1016/j.biopha.2019.109416
A Genome-wide Association Study of Circulating Levels of Atorvastatin and Its Major Metabolites. Clinical pharmacology and therapeutics Atorvastatin (ATV) is frequently prescribed and generally well  tolerated, but can lead to myotoxicity, especially at higher doses. A genome-wide association study of circulating levels of ATV, 2-hydroxy (2-OH) ATV, ATV lactone (ATV L), and 2-OH ATV L was performed in 590 patients who had been hospitalized with a non-ST elevation acute coronary syndrome 1 month earlier and were on high-dose ATV (80 mg or 40 mg daily). The UGT1A locus (lead single nucleotide polymorphism, rs887829) was strongly associated with both increased 2-OH ATV/ATV (P = 7.25 × 10 ) and 2-OH ATV L/ATV L (P = 3.95 × 10 ) metabolic ratios. Moreover, rs45446698, which tags CYP3A7*1C, was nominally associated with increased 2-OH ATV/ATV (P = 6.18 × 10 ), and SLCO1B1 rs4149056 with increased ATV (P = 2.21 × 10 ) and 2-OH ATV (P = 1.09 × 10 ) levels. In a subset of these patients whose levels of ATV and metabolites had also been measured at 12 months after hospitalization (n = 149), all of these associations remained, except for 2-OH ATV and rs4149056 (P = 0.057). Clinically, rs4149056 was associated with increased muscular symptoms (odds ratio (OR) 3.97; 95% confidence interval (CI) 1.29-12.27; P = 0.016) and ATV intolerance (OR 1.55; 95% CI 1.09-2.19; P = 0.014) in patients (n = 870) primarily discharged on high-dose ATV. In summary, both novel and recognized genetic associations have been identified with circulating levels of ATV and its major metabolites. Further study is warranted to determine the clinical utility of genotyping rs4149056 in patients on high-dose ATV. 10.1002/cpt.1820