Association between SLCO1B1 -521T>C and -388A>G polymorphisms and risk of statin-induced adverse drug reactions: A meta-analysis

Publication bias in pharmacogenetics of statin-associated muscle symptoms: A meta-epidemiological study

BACKGROUND AND AIMS

Statin-associated muscle symptoms (SAMS) are a major cause of treatment discontinuation. Clinical Pharmacogenetics Implementation Consortium (CPIC) recommend dose adjustment for statin treatment according to known SLCO1B1 genotype to reduce SAMS. We hypothesized that the association between SLCO1B1 genotype and SAMS is misestimated because of publication bias.

METHODS

We searched published systematic reviews on the association between SLCO1B1 genotype and SAMS. To assessed publication bias, we used funnel plot visual inspection, Egger's test, and the Bayes Factor (BFPublication-bias) from Robust Bayesian Meta-Analysis (RoBMA). We compared the odds ratios (ORUncorrected) from meta-analyses before and after correcting for publication bias using trim-and-fill (ORTrim&Fill) and RoBMA (ORRoBMA) methods.

RESULTS

We included 8 cohort and 11 case-control studies, totaling 62 OR of three SLCO1B1 genotypes and six statin drugs. In the primary analysis, the funnel plot was suggestive of publication bias, confirmed by Egger's test (p=0.001) and RoBMA (BFPublication-bias = 18). Correcting the estimate for publication bias resulted in loss of the association, from a significant ORUncorrected (1.31 95%CI [1.13-1.53]) to corrected ORs suggesting no difference: ORTrim&Fill (1.07 95%CI [0.89-1.30]) and ORRoBMA (1.02 95%CI [1.00-1.33]). This suggested that publication bias overestimated the association by 18 % and 23 %, respectively. Similar results were found for genotype rs4149056, simvastatin and atorvastatin.

CONCLUSIONS

The effect of the SLCO1B1 genotype on the risk of developing SAMS is overestimated in the published literature, especially rs4149056. This could lead prescribers to incorrectly decreasing statin doses or even avoiding statin use, leading to a loss of the potential cardiovascular benefit of statins.

Atorvastatin-associated myotoxicity: A toxicokinetic review of pharmacogenetic associations to evaluate the feasibility of precision pharmacotherapy

Atorvastatin (ATV) and other statins are highly effective in reducing cholesterol levels. However, in some patients, the development of drug-associated muscle side effects remains an issue as it compromises the adherence to treatment. Since the toxicity is dose-dependent, exploring factors modulating pharmacokinetics (PK) appears fundamental. The purpose of this review aims at reporting the current state of knowledge about the singular genetic susceptibilities influencing the risk of developing ATV muscle adverse events through PK modulations. Multiple single nucleotide polymorphisms (SNP) in efflux (ABCB1, ABCC1, ABCC2, ABCC4 and ABCG2) and influx (SLCO1B1, SLCO1B3 and SLCO2B1) transporters have been explored for their association with ATV PK modulation or with statin-related myotoxicities (SRM) development. The most convincing pharmacogenetic association with ATV remains the influence of the rs4149056 (c.521 T > C) in SLCO1B1 on ATV PK and pharmacodynamics. This SNP has been robustly associated with increased ATV systemic exposure and consequently, an increased risk of SRM. Additionally, the SNP rs2231142 (c.421C > A) in ABCG2 has also been associated with increased drug exposure and higher risk of SRM occurrence. SLCO1B1 and ABCG2 pharmacogenetic associations highlight that modulation of ATV systemic exposure is important to explain the risk of developing SRM. However, some novel observations credit the hypothesis that additional genes (e.g. SLCO2B1 or ABCC1) might be important for explaining local PK modulations within the muscle tissue, indicating that studying the local PK directly at the skeletal muscle level might pave the way for additional understanding.

The main side effects of statins in clinical practice

Statins have long occupied a central place in cardiovascular medicine, being an integral component of the prevention and treatment of atherosclerotic cardiovascular diseases (coronary heart disease and its main clinical forms, angina pectoris and myocardial infarction; transient ischemic attacks, ischemic strokes, etc.). By blocking a key enzyme of cholesterol biosynthesis, 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA-reductase), statins normalize the parameters of the lipid spectrum, primarily, the serum levels of atherogenic low-density lipoprotein cholesterol. However, in addition to the beneficial effects of statins, side effects are also characteristic, which are a significant problem in modern clinical practice due to the fact that they can cause dangerous disorders, forcing physicians to reduce dosages or completely cancel these drugs. Understanding the side effects and the mechanisms underlying their formation is important for improving the measures for the early detection, prevention and treatment of those disorders. This article discusses such side effects of statins as myotoxicity, hepatotoxicity, nephrotoxicity. The pathogenetic mechanisms underlying these toxic effects of statins are discussed. A particular attention is paid to the effect of statins on the oxidative stress, the mechanisms of oxidative damage to cellular macromolecules (lipids, proteins and DNA) and their potential role in the development of myotoxicity, hepatotoxicity and nephrotoxicity.

Association between SLCO1B1 polymorphism and methotrexate-induced hepatotoxicity: a systematic review and meta-analysis

Reports on the association between the solute carrier organic anion transporter 1B1 (SLCO1B1) T521C polymorphism and methotrexate-induced hepatotoxicity in patients with malignancies are inconsistent. This meta-analysis evaluated the association between the SLCO1B1 T521C polymorphism and methotrexate-induced hepatotoxicity. We performed a systematic review of previous reports from the PubMed, Web of Science, and EMBASE databases, and a meta-analysis was conducted. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated to evaluate the effect of the SLCO1B1 T521C polymorphism on the occurrence of methotrexate-induced hepatotoxicity. In total, data from five studies including 465 patients were analyzed. Patients had received a high-dose methotrexate regimen (1-5 g/m2). The SLCO1B1 variant allele (C allele) carriers had a 1.9-fold higher risk of hepatotoxicity than wild-type homozygote carriers (TT; OR, 1.94; 95% CI, 1.14-3.31). This meta-analysis demonstrated that C allele carriers of the SLCO1B1 polymorphism had a higher risk of hepatotoxicity than patients with the TT genotype. The SLCO1B1 T521C polymorphism may be a useful predictor for methotrexate-induced hepatotoxicity in patients with malignancies.

Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions

Adverse drug reactions (ADRs) rank as one of the top 10 leading causes of death and illness in developed countries. ADRs show differential features depending upon genotype, age, sex, race, pathology, drug category, route of administration, and drug–drug interactions. Pharmacogenomics (PGx) provides the physician effective clues for optimizing drug efficacy and safety in major problems of health such as cardiovascular disease and associated disorders, cancer and brain disorders. Important aspects to be considered are also the impact of immunopharmacogenomics in cutaneous ADRs as well as the influence of genomic factors associated with COVID-19 and vaccination strategies. Major limitations for the routine use of PGx procedures for ADRs prevention are the lack of education and training in physicians and pharmacists, poor characterization of drug-related PGx, unspecific biomarkers of drug efficacy and toxicity, cost-effectiveness, administrative problems in health organizations, and insufficient regulation for the generalized use of PGx in the clinical setting. The implementation of PGx requires: (i) education of physicians and all other parties involved in the use and benefits of PGx; (ii) prospective studies to demonstrate the benefits of PGx genotyping; (iii) standardization of PGx procedures and development of clinical guidelines; (iv) NGS and microarrays to cover genes with high PGx potential; and (v) new regulations for PGx-related drug development and PGx drug labelling.

Risk of type 2 diabetes mellitus after gestational diabetes mellitus: A systematic review & meta-analysis

Background &objectives:

Women with gestational diabetes are at an increased risk of being diagnosed as type 2 diabetes, but the postpartum screening rate is low. To provide evidence-based data for health providers and promote postpartum screening, this systematic review and meta-analysis was conducted to access the risks of type 2 diabetes mellitus (T2DM) diagnosis after gestational diabetes mellitus (GDM) in different demographic and maternal subgroups.

Methods:

MEDLINE, Embase and Cochrane Library were searched systematically. Unadjusted relative risks (RRs) and 95 per cent confidence intervals (CIs) were calculated and pooled using a random-effects model. Heterogeneity was assessed with Cochrane’s Q text and by calculating I² values. Subgroup analyses were conducted to address the disparities of type 2 diabetes conversion after gestational diabetes in different demographic and maternal subgroups.

Results:

1809 publications were screened and 39 cohort studies including 2,847,596 women were selected. In these studies, 78,893 women were diagnosed as T2DM at six weeks or later after delivery. The unadjusted RRs of women diagnosed T2DM at six weeks or later after delivery ranged from 1.32 (95% CI, 0.46-3.37) to 47.25 (95% CI, 2.95-758.01) with a pooled unadjusted RR of 8.92 (95% CI, 7.84-10.14). Older women, women with a family history of diabetes, Black and non-Hispanic White women and women living in Europe and South-East Asia had a higher risk of developing T2DM after GDM.

Interpretation & conclusionsxs:

It is suggested that healthcare providers may focus on older women with GDM and women with GDM and a family history of diabetes. Black and non-Hispanic White women with GDM may receive more attention, and healthcare providers, especially those in Europe and South-East Asia, may pay more attention to preventive measures for postpartum T2DM.

Relationship between genetic polymorphism of drug transporters and the efficacy of Rosuvastatin, atorvastatin and simvastatin in patients with hyperlipidemia

Background

To determine the effect of genetic polymorphism of drug transporters on the efficacy of treatment with Rosuvastatin, Atorvastatin and Simvastatin in patients with hyperlipidemia.

Methods

The study consists of 180 patients, aged 40–75 years, with hyperlipidemia. All patients were divided into two equal groups: patients with different SLCO1B1 (521CC, 521CT and 521TT) and MDR1 (3435CC, 3435TC and 3435TT) genotypes. Each group was divided into rosuvastatin-treated, atorvastatin-treated and simvastatin-treated subgroups. The lipid-lowering effect of statins was assessed by tracing changes in total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels.

Results

The use of statins over a 4-month period led to substantial reductions in TC and LDL-C levels. The hypolipidemic effect of studied agents was seen in both groups. However, it was less pronounced in patients with 521CC genotype. No statistically significantly differences were found between carriers of 3435TT, 3435CT and 3435CC genotypes.

Conclusions

The lipid-lowering efficacy of rosuvastatin was higher compared to other two statins. Patients with SLCO1B1 521CC genotype are more likely to encounter a decrease in the hypolipidemic effect of statins. Such a risk should be considered when treating this category of patients. MDR1 polymorphism had no significant effect on statin efficacy.

Effects of SLCO1B1 and SLCO1B3 Genetic Polymorphisms on Valsartan Pharmacokinetics in Healthy Korean Volunteers

Purpose: This study aimed to examine OATP1B1 (SLCO1B1) and OATP1B3 (SLCO1B3) on the pharmacokinetics of valsartan. Twenty-five subjects were genotyped for 16 single-nucleotide polymorphisms of the SLCO1B1 and SLCO1B3 genes. Methods: After a single dose of 160 mg of valsartan was orally administered to healthy male volunteers, drug concentrations were assayed up to 48 h. The 25 subjects were genotyped for 16 single-nucleotide polymorphisms (SNPs) of the SLCO1B1 and SLCO1B3 genes. Subjects were classified into groups according to their SLCO1B1*1B haplotype; 23 subjects were carriers of SLCO1B1*1B and two subjects were included in the reference group with SLCO1B1*1A/*1A. Alternations of the splicing factor-binding site pattern caused by the given mutation were evaluated with the Human Splicing Finder (HSF) 3.1. Results: The subjects who carried SLCO1B1*1B showed a 2.3-fold higher clearance than those without the *1B haplotype. Mean C_max and AUC_inf were reduced by 45% and 54%, respectively, in the SLCO1B1*1B genotype group compared to the reference group with the *1A/*1A genotype (p < 0.01). The carriers of the rs4149153 T allele of SLCO1B3 had a 27% lower mean C_max and a 1.5-fold higher Vd compared to homozygotic CC carriers (p < 0.05). In a combined analysis of SLCO1B1 and SLCO1B3, subjects not carrying SLCO1B1 *1B and carrying SLCO1B3 rs4149153 T allele showed a 1.6-fold higher clearance than those with the other genotypes, whereas mean C_max and AUC_last were reduced by 35% and 42%, respectively (p < 0.05), in the subjects. HSF 3.1 analysis showed that rs4149153 could cause alterations of the acceptor splice site (TAAATACTAAAGAC to TAAATATTAAAGAC) with scoring change (from 72.57 to 71.92, difference = −0.9). Conclusion: It was found that plasma exposure to valsartan is significantly decreased in SLCO1B1*1B carriers and carriers of the rs4149153 T allele of SLCO1B3, possibly as a result of increased hepatic uptake.

Association of SLCO1B1 c.521T>C (rs4149056) with discontinuation of atorvastatin due to statin-associated muscle symptoms

The most common adverse drug reaction from statins are statin-associated muscle symptoms (SAMS), characterized by myopathy (weakness), myalgia (muscle pain), and commonly elevation in serum creatine kinase. All statins are substrates of the organic anion transporter 1B1 (OATP1B1; gene: SLCO1B1), albeit to different degrees. A genetic polymorphism in SLCO1B1, c.521T>C (rs4149056), markedly decreases OATP1B1 function. The literature is currently unclear as to whether SLCO1B1 c.521T>C is significantly associated with discontinuation of atorvastatin specifically due to SAMS. Our hypothesis was that individuals carrying the SLCO1B1 decreased function 521C allele are more likely to discontinue atorvastatin due to SAMS. This was a retrospective analysis of survey data from 379 Caucasians genotyped for rs4149056 and treated with atorvastatin for at least 12 months. Crude and multivariable logistic regression, adjusted for established risk factors for SAMS, determined the association of SLCO1B1 c.521T>C with discontinuation of atorvastatin due to SAMS (SLCO1B1 521T-homozygotes vs. 521C-carriers). The sample was 51% male, with a mean age of 57 years (SD = 11). Sixty-one percent of participants reported discontinuing atorvastatin due to SAMS, and 32% overall carried the 521C allele. SLCO1B1 521C-carrier status was not a significant predictor of atorvastatin discontinuation in any model: crude OR = 1.07; 95% CI, 0.68-1.66; P = 0.78 and adjusted OR = 1.07; 95% CI, 0.68-1.69; P = 0.76. The results were similar in a sub-group of participants treated with higher doses of atorvastatin (>20 mg). In summary, SLCO1B1 c.521T>C was not significantly associated with discontinuation of atorvastatin therapy due to SAMS.

Current Evidence, Challenges, and Opportunities of Physiologically Based Pharmacokinetic Models of Atorvastatin for Decision Making

Atorvastatin (ATS) is the gold-standard treatment worldwide for the management of hypercholesterolemia and prevention of cardiovascular diseases associated with dyslipidemia. Physiologically based pharmacokinetic (PBPK) models have been positioned as a valuable tool for the characterization of complex pharmacokinetic (PK) processes and its extrapolation in special sub-groups of the population, leading to regulatory recognition. Several PBPK models of ATS have been published in the recent years, addressing different aspects of the PK properties of ATS. Therefore, the aims of this review are (i) to summarize the physicochemical and pharmacokinetic characteristics involved in the time-course of ATS, and (ii) to evaluate the major highlights and limitations of the PBPK models of ATS published so far. The PBPK models incorporate common elements related to the physicochemical aspects of ATS. However, there are important differences in relation to the analyte evaluated, the type and effect of transporters and metabolic enzymes, and the permeability value used. Additionally, this review identifies major processes (lactonization, P-gp contribution, ATS-Ca solubility, simultaneous management of multiple analytes, and experimental evidence in the target population), which would enhance the PBPK model prediction to serve as a valid tool for ATS dose optimization.

A systematic review and meta-analysis of genotype-based and individualized data analysis of SLCO1B1 gene and statin-induced myopathy

This meta-analysis was conducted to determine the genotypic effects of rs4149056 and rs2306283 polymorphism in SLCO1B1 gene on myopathy in patients with statin. Studies were searched using multiple databases and selected following inclusion criteria. Two reviewers independently performed data extraction and assessments for risk of bias. Fixed-or-random-effect was applied to pool allele frequency/effects. Mixed-effect logit model was used to pool genotypic effects using individual patient data. Heterogeneity and publication bias were explored. Fourteen studies were pooled for rs4149056; the minor C allele frequency were 15% in Caucasians and 14% in Asians. Six studies were pooled for rs2306283; the minor G allele frequency was 34% in Caucasian and 75% in Asians. Genotypic effects of rs4149056 polymorphism in Caucasians indicated that statin users who carried CC and TC genotypes had a significantly higher risk of myopathy than those who carried TT genotype, with a pooled odds ratio (OR) of 2.9 (95% confidence interval, 1.59, 5.34) and 1.6 (1.20, 2.16), respectively. For subgroup analysis, CC and TC genotypes also suggested a higher risk of myopathy in simvastatin users [OR = 2.8 (1.17, 6.77) and OR = 1.8 (1.15, 2.77), respectively] and in atorvastatin users [OR = 4.0 (1.23, 12.63) and OR = 2.0 (1.11, 3.52), respectively] than those who carried TT genotype. There was no significant association between rs2306283 polymorphism and myopathy in Caucasians and Asians. There was no evidence of publication bias for both polymorphisms.

Pharmacogenetics of Statin-Induced Myotoxicity

Statins, a class of lipid-lowering medications, have been a keystone treatment in cardiovascular health. However, adverse effects associated with statin use impact patient adherence, leading to statin discontinuation. Statin-induced myotoxicity (SIM) is one of the most common adverse effects, prevalent across all ages, genders, and ethnicities. Although certain demographic cohorts carry a higher risk, the impaired quality of life attributed to SIM is significant. The pathogenesis of SIM remains to be fully elucidated, but it is clear that SIM is multifactorial. These factors include drug-drug interactions, renal or liver dysfunction, and genetics. Genetic-inferred risk for SIM was first reported by a landmark genome-wide association study, which reported a higher risk of SIM with a polymorphism in the SLCO1B1 gene. Since then, research associating genetic factors with SIM has expanded widely and has become one of the foci in the field of pharmacogenomics. This review provides an update on the genetic risk factors associated with SIM.

Association between SLCO1B1 polymorphism distribution frequency and blood lipid level in Chinese adults

BACKGROUND

The variation of serum lipid levels can be part-related to certain genes. One such gene, SLCO1B1, encodes a transporter that may have a role in lipid metabolism. We hypothesised that differences in certain SLCO1B1 genotypes are related to levels of serum lipids.

MATERIALS AND METHODS

We recruited 636 subjects who were genotyped for SLCO1B1 variants *1a, *1b, *5 and *15. Routine liver function tests, renal function tests and routine lipid indices were measured by standard techniques.

RESULTS

The most frequent genotypes were *1b/*1b (29.3%), *1b/*15 (27.5%), *1a/*1b (21.1%), *1a/*15 and *1b/*5 (10.2%) and *1a/*1a (8.5%). There were significant differences in levels of triglycerides and HDL in the four SLCO1B1 genotypes *1a/*1a, *1b/*1b, *1a/*1b and *1b/*15 (all p < 0.05).

CONCLUSION

The genotypes *1a/*1a and *1a/*1b indicate a high risk of cardiovascular disease, while the *1b/*1b group may have a relatively low risk. SLCO1B1 may be involved in the metabolism of triglycerides and HDL. We have provided a tool for identifying potentially high-risk groups that could be helpful for early diagnosis and prevention, individualized drug therapy and even gene therapy.

A Genome-wide Association Study of Circulating Levels of Atorvastatin and Its Major Metabolites

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^-16 ) and 2-OH ATV L/ATV L (P = 3.95 × 10^-15 ) metabolic ratios. Moreover, rs45446698, which tags CYP3A7*1C, was nominally associated with increased 2-OH ATV/ATV (P = 6.18 × 10^-7 ), and SLCO1B1 rs4149056 with increased ATV (P = 2.21 × 10^-6 ) and 2-OH ATV (P = 1.09 × 10^-6 ) 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.

Association between rs4149056 variant in SLCO1B1 and early discontinuation of statin after acute myocardial infarction

Data from two French surveys were used to analyze the association between in-hospital statin discontinuation and SLCO1B1 polymorphism (rs4149056) in patients with acute myocardial infarction. Using TaqMan allelic discrimination assay, 1674 and 1708 patients were genotyped for SLCO1B1 in 2005 and 2010, respectively. The association with in-hospital statin discontinuation was assessed after adjusting for confounding factors. In 2005, homozygosity for the reduced-function allele was associated with an increased risk of in-hospital statin discontinuation (OR: 3.68; p = 0.004) compared with the wild-type allele but this association disappeared in 2010. However, statin type and intensity-dose differed significantly between the surveys. SLCO1B1 polymorphism (rs4149056) does not seem to be a major determinant of early ‘in-hospital’ statin discontinuation after acute myocardial infarction.

Increased risk of aspirin-induced gastric mucosal erosion in elderly Chinese men harboring SLCO1B1*1b/*1b while using aspirin and an ACEI or ARB concomitantly

Background

It is well established that long-term use of aspirin can cause gastric mucosal injury. ACEIs and ARBs are inversely related to gastric ulcer development. This study aimed to evaluate the relationship between SLCO1B1 polymorphisms, which can affect ACEI and ARB transport, and gastric mucosal erosion in elderly male Chinese patients with cardiovascular disease who use aspirin.

Methods

Patients taking aspirin and an ACEI or ARB concomitantly who had undergone endoscopic screening for gastric erosion were analyzed for SLCO1B1 polymorphisms by a TaqMan assay.

Results

The frequency of the SLCO1B1*1b/*1b diplotype (42% vs. 24%; p = 0.002) was significantly higher in the gastric mucosal erosion group than in the control group. After adjustment for significant factors, SLCO1B1*1b/*1b (OR, 2.64; 95% CI, 1.59–4.17; p < 0.05) was found to be associated with gastric mucosal erosion in aspirin users.

Conclusions

The presence of the SLCO1B1*1b/*1b diplotype may be a risk factor for aspirin-induced gastric mucosal erosion in elderly Chinese men taking aspirin and an ACEI or ARB concomitantly.

Risk of Adverse Vascular Events in Patients with Malignant Glioma Treated with Bevacizumab Plus Irinotecan: A Systematic Review and Meta-Analysis

BACKGROUND

Bevacizumab plus irinotecan is a new beneficial chemotherapy strategy for patients with malignant glioma. The purpose of this systematic review and meta-analysis was to comprehensively assess the risk of adverse vascular events in adults with malignant glioma treated with bevacizumab plus irinotecan.

METHODS

The Cochrane Library, Embase and PubMed were searched, and relevant trials were identified up to June 2018. Two investigators screened all titles and abstracts for possible inclusion and extracted data independently. Six studies were included, and 5 of them in the control group using bevacizumab alone or bevacizumab with temozolomide. Three systems were used to assess the quality of evidence and the level of recommendation. The Oxford Centre for Evidence-Based Medicine Levels of Evidence (2009) system was used to classify the evidence into 5 levels (classes I-V). The star system from the Newcastle-Ottawa Scale was used to assess methodological quality. The GRADE profiler was used to evaluate the overall body of evidence.

RESULTS

Our data show that bevacizumab plus irinotecan therapy does not significantly affect the risk of systemic adverse events (odds ratio [OR], 1.17; 95% confidence interval [CI], 0.43-3.18). Patients treated with bevacizumab plus irinotecan had a similar risk of hematotoxicity (OR, 1.06; 95% CI, 0.26-4.38), thrombocytopenia (OR, 1.07; 95% CI, 0.25-4.63), and hypertension (OR, 1.34; 95% CI, 0.28-6.36) compared with the control group (those treated without irinotecan). Thrombosis occurred more frequently in patients treated with bevacizumab plus irinotecan compared with the control group (OR, 3.23; 95% CI, 1.47-7.12).

CONCLUSIONS

The risk of systemic adverse events was not significantly different between patients with malignant glioma treated with bevacizumab plus irinotecan and the control group. The risks of hematotoxicity, thrombocytopenia, and hypertension were similar in the 2 groups. The risk of thrombosis was higher in patients treated with bevacizumab plus irinotecan. Monitoring for thrombosis and administering anticoagulant therapy as necessary merit promotion for patients with malignant glioma receiving treatment with bevacizumab plus irinotecan.

Organic Anion Transporting Polypeptides: Emerging Roles in Cancer Pharmacology

The organic anion transporting polypeptides (OATPs) are a superfamily of drug transporters involved in the uptake and disposition of a wide array of structurally divergent endogenous and exogenous substrates, including steroid hormones, bile acids, and commonly used drugs, such as anti-infectives, antihypertensives, and cholesterol lowering agents. In the past decade, OATPs, primarily OATP1A2, OATP1B1, and OATP1B3, have emerged as potential mediators of chemotherapy disposition, including drugs such as methotrexate, doxorubicin, paclitaxel, docetaxel, irinotecan and its important metabolite 7-ethyl-10-hydroxycamptothecin, and certain tyrosine kinase inhibitors. Furthermore, OATP family members are polymorphic and numerous studies have shown OATP variants to have differential uptake, disposition, and/or pharmacokinetics of numerous drug substrates with important implications for interindividual differences in efficacy and toxicity. Additionally, certain OATPs have been found to be overexpressed in a variety of human solid tumors, including breast, liver, colon, pancreatic, and ovarian cancers, suggesting potential roles for OATPs in tumor development and progression and as novel targets for cancer therapy. This review focuses on the emerging roles for selected OATPs in cancer pharmacology, including preclinical and clinical studies suggesting roles in chemotherapy disposition, the pharmacogenetics of OATPs in cancer therapy, and OATP overexpression in various tumor tissues with implications for OATPs as therapeutic targets.

Clinical characteristics associated with postoperative seizure control in adult low-grade gliomas: a systematic review and meta-analysis

Background

Epilepsy is the most common symptom in patients with supratentorial low-grade gliomas (LGGs), which adversely affects the patient's quality of life. Poor seizure control with anti-epileptic therapy is an indication for surgery in these patients. Recent studies have sought to identify predictors of postoperative seizure control after surgical resection of LGG; gross total resection was shown to be a significant predictor in this respect. However, the prognostic value of other factors is not clear.

Methods

We performed a systematic review and meta-analysis of 23 studies with a combined study population of 2641 patients with LGG, in order to identify potential factors associated with favorable postoperative seizure control. Data were extracted on age and sex of patient, tumor location, tumor histology, type of seizure, seizure duration, extent of resection, and imaging characteristics.

Results

Patients ≥45 years of age achieved better postoperative seizure control (risk ratio [RR], 0.89; 95% CI, 0.81-0.99). Focal seizures were associated with poor seizure control (RR, 1.32; 95% CI, 1.18-1.49) compared with generalized seizures (RR, 0.77; 95% CI, 0.68-0.87). Prolonged history of seizures (≥1 y) had a negative impact on postoperative seizure control (RR, 1.22; 95% CI, 1.10-1.34). Gross total resection was superior to subtotal resection with respect to postoperative seizure control (RR, 0.68; 95% CI, 0.63-0.73).

Conclusions

This systematic review and meta-analysis identified predictors of postoperative seizure control in patients undergoing surgical resection of LGGs. Our results provide a reference for clinical treatment of LGG-related epilepsy.

Effect of SLCO1B1 gene polymorphisms and vitamin D on statin-induced myopathy

Background Statin therapy used to lower cholesterol levels results in a substantial reduction in cardiovascular complications. Previous observations in different ethnic populations showed that rs2306283A>G, p.Asn130Asp and rs4149056T>C, p.Val174Ala in solute carrier organic anion transporter 1B1 (SLCO1B1) gene encoding the organic transporter protein may be responsible for statin uptake, thus explaining the majority of statin-associated symptoms. In addition to the genetic component, vitamin D (vit D) deficiency is common in Saudi Arabia and worldwide and may cause muscle dysfunction and ache. The aim of the present study was first to reveal an effect of vit D, rs2306283A>G, and rs4149056T>C and related haplotypes on statin-associated myopathy (SAM) and then to investigate a possible interaction between low vit D levels and the above-mentioned variants. Methods The genomic DNA obtained from 50 individuals diagnosed with hypercholesterolemia was genotyped using light SNiP hybridization probes. Results Low vit D levels were associated with SAM (OR=3.6, p=0.03); however, CK levels, rs2306283A>G, and rs4149056T>C did not show any association. Interestingly, rs4149056T>C was interacting with vit D to influence SAM (p=0.02). Haplotype analysis showed that SLCO1B1 *1B and *15 were more prevalent in individuals with SAM (p=0.05). When stratified according to vit D levels, rs2306283A allele showed an increase in individuals having SAM along with low vit D (p=0.03). Conclusions Although preliminary, our results show an involvement of vit D and rs4149056T>C of SLCO1B1 in SAM.

Categorization and association analysis of risk factors for adverse drug events

PURPOSE

Adverse drug events (ADE) are among the leading causes of morbidity and hospitalization. This review analyzes risk factors for ADE, particularly their categorizations and association patterns, the prevalence, severity, and preventability of ADE, and method characteristics of reviewed studies.

METHODS

Literature search was conducted via PubMed, Science Direct, CINAHL, and MEDLINE. A review was conducted of research articles that reported original data about specific risk factors for ADE since 2000. Data analyses were performed using Excel and R.

RESULTS

We summarized 211 risk factors for ADE, and grouped them into five main categories: patient-, disease-, medication-, health service-, and genetics-related. Among them, medication- and disease-related risk factors were most frequently studied. We further classified risk factors within each main category into subtypes. Among them, polypharmacy, age, gender, central nervous system agents, comorbidity, service utilization, inappropriate use/change use of drugs, cardiovascular agents, and anti-infectives were most studied subtypes. An association analysis of risk factors uncovered many interesting patterns. The median prevalence, preventability, and severity rate of reported ADE was 19.5% (0.29%~86.2%), 36.2% (2.63%~91%), and 16% (0.01%~47.4%), respectively.

CONCLUSIONS

This review introduced new categories and subtypes of risk factors for ADE. The broad and in-depth coverage of risk factors and their association patterns elucidate the complexity of risk factor analysis. Managing risk factors for ADE is crucial for improving patient safety, particularly for the elderly, comorbid, and polypharmacy patients. Some under-explored risk factors such as genetics, mental health and wellness, education, lifestyle, and physical environment invite future research.

Influence of genetic co-factors on the population pharmacokinetic model for clopidogrel and its active thiol metabolite

PURPOSE

A high interindividual variability is observed in the pharmacokinetics of clopidogrel, a widely used antiplatelet drug. In the present study, a joint parent-metabolite population pharmacokinetic model was developed to adequately describe observed concentrations of clopidogrel and its active thiol metabolite (H4).

METHODS

The study included 63 patients undergoing elective coronarography or percutaneous coronary intervention. The population pharmacokinetic model was developed in the NONMEM 7.3 software, and first-order conditional estimation method with interaction was applied. Also, the influence of covariates was evaluated (age, weight, body mass index (BMI), obesity defined as BMI ≥ 30 kg/m2, sex, diabetes mellitus, co-administration of PPI or statins, presence of CYP2C19*2, CYP2C19*17, CYP3A4*1G alleles, and ABCB1 3435 TT genotype).

RESULTS

It was found that the only significant covariate was the presence of CYP2C19*2 allele, which had an impact on lower conversion of clopidogrel to H4. As a result, predicted area under the time-concentration curve values was lower in carriers of this allele, with median 5.94 ng h/ml (interquartile range 3.92-12.51 [ng∙h/ml]) vs. 12.70 ng h/ml in non-carriers (interquartile range, 7.00-19.39 [ng∙h/ml]), respectively (p = 0.004).

CONCLUSIONS

Developed model predicts that the only significant covariate influencing the observed concentrations and therefore the exposure to the active H4 metabolite is the presence of CYP2C19*2 allele.

Recent developments and future directions for the use of pharmacogenomics in cardiovascular disease treatments

INTRODUCTION

Cardiovascular disease is still the leading cause of death worldwide. There are many environmental and genetic factors that play a role in the development of cardiovascular disease. The treatment of cardiovascular disease is beginning to move in the direction of personalized medicine by using biomarkers from the patient's genome to design more effective treatment plans. Pharmacogenomics have already uncovered many links between genetic variation and response of many different drugs. Areas covered: This article will focus on the main polymorphisms that impact the risk of adverse effects and response efficacy of statins, clopidogrel, aspirin, β-blockers, warfarin dalcetrapib and vitamin E. The genes discussed include SLCO1B1, ABCB1, CYP3A4, CYP3A5, CYP2C19, PTGS1, PTGS2, ADRB1, ADCY9, CYP2C19, PON1, CES1, PEAR1, GPIIIa, CYP2D6, CKORC1, CYP2C9 and Hp. Expert opinion: Although there are some convincing results that have already been incorporated in the labelling treatment guidelines, most gene-drug relationships have been inconsistent. A better understanding of the relationships between genetic factors and drug response will provide more opportunities for personalized diagnosis and treatment of cardiovascular disease.