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METOPROLOL SUCCINATE: GENETIC ASPECTS OF INDIVIDUAL SENSITIVITY AND EFFICACY IN PATIENTS WITH OBESITY AND CHRONIC HEART FAILURE

Gasanov I, Rudyk Y

Georgian Med News, 2019 Jan.
PMID: 30829590

Aim - optimization of the treatment of obesity and chronic heart failure (CHF) patients by identifying key factors for the progression of cardiac decompensation and the principles of using metoprolol succinate, taking into account pharmacogenetic aspects in the complex treatment of this comorbidity. 127 patients with CHF 2nd-3rd stages, 1st-4th functional class by New York Heart Association at the age of 32-87 (61 [57; 65]) years were examined, including 93 men and 34 women. A comparative analysis of certain clinical criteria using the sequential analysis of Wald A.A. The results were statistically plausible with p<0.05. Conducting factor analysis allowed to separate groups of indicators and estimate the specific weight of individual factors in the pathogenesis of combined pathology - obesity and heart failure. The first two factors determine 76.8% of the variability of the indicators, given the indicators that load them, they were given descriptive titles "clinical-hemodynamic factor", "clinical and anthropometric factor". The proposed prognostic protocol provides new possibilities for predicting the efficacy of metoprolol succinate in patients with obesity and chronic heart failure. The developed discriminatory models allow to objectify the criteria for determining the doses of metoprolol succinate in patients with obesity and chronic heart failure - the maximum initial, maximal endpoint, and also to evaluate the expediency of a subsequent stepwise increase in dose. Perspective of further studies - development and clinical approbation of the protocol of the use of metoprolol succinate in patients with CHF in the context of obesity, taking into account the results of the conducted factor analysis and developed prognostic means.

Matched MeSH terms: Pharmacogenomic Testing*
A New Zealand platform to enable genetic investigation of adverse drug reactions

Maggo SD, Chua EW, Chin P, Cree S, Pearson J, Doogue M, et al.

N Z Med J, 2017 Dec 01;130(1466):62-69.
PMID: 29197902

A multitude of factors can affect drug response in individuals. It is now well established that variations in genes, especially those coding for drug metabolising enzymes, can alter the pharmacokinetic and/or pharmacodynamic profile of a drug, impacting on efficacy and often resulting in drug-induced toxicity. The UDRUGS study is an initiative from the Carney Centre for Pharmacogenomics to biobank DNA and store associated clinical data from patients who have suffered rare and/or serious adverse drug reactions (ADRs). The aim is to provide a genetic explanation of drug-induced ADRs using methods ranging from Sanger sequencing to whole exome and whole genome sequencing. Participants for the UDRUGS study are recruited from various sources, mainly via referral through clinicians working in Canterbury District Health Board, but also from district health boards across New Zealand. Participants have also self-referred to us from word-of-mouth communication between participants. We have recruited various ADRs across most drug classes. Where possible, we have conducted genetic analyses in single or a cohort of cases to identify known and novel genetic association(s) to offer an explanation to why the ADR occurred. Any genetic results relevant to the ADR are communicated back to the referring clinician and/or participant. In conclusion, we have developed a programme for studying the genetic basis of severe, rare or unusual ADR cases resulting from pharmacological treatment. Genomic analyses could eventually identify most genetic variants that predispose to ADRs, enabling a priori detection of such variants with high throughput DNA tests.

Matched MeSH terms: Pharmacogenomic Testing/methods*
Allopurinol-induced severe cutaneous adverse drug reactions: Risk minimization measures in Malaysia

Panickar R, Wo WK, Ali NM, Tang MM, Ramanathan GRL, Kamarulzaman A, et al.

Pharmacoepidemiol Drug Saf, 2020 10;29(10):1254-1262.
PMID: 33084196 DOI: 10.1002/pds.5033

PURPOSE: To describe risk minimization measures (RMMs) implemented in Malaysia for allopurinol-induced severe cutaneous adverse drug reactions (SCARs) and examine their impact using real-world data on allopurinol usage and adverse drug reaction (ADR) reports associated with allopurinol.
METHODS: Data on allopurinol ADR reports (2000-2018) were extracted from the Malaysian ADR database. We identified RMMs implemented between 2000 and 2018 from the minutes of relevant meetings and the national pharmacovigilance newsletter. We obtained allopurinol utilization data (2004-2018) from the Pharmaceutical Services Programme. To determine the impact of RMMs on ADR reporting, we considered ADR reports received within 1 year of RMM implementation. We used the Pearson χ2 test to examine the relation between the implementation of RMMs and allopurinol ADR reports.
RESULTS: The 16 RMMs for allopurinol-related SCARs implemented in Malaysia involved nine risk communications, four prescriber or patient educational material, and three health system innovations. Allopurinol utilization decreased by 21.5% from 2004 to 2018. ADR reporting rates for all drugs (n = 144 507) and allopurinol (n = 1747) increased. ADR reports involving off-label use decreased by 6% from 2011. SCARs cases remained between 20% and 50%. RMMs implemented showed statistically significant reduction in ADR reports involving off-label use for August 2014 [χ2(1, N = 258) = 5.32, P = .021] and October 2016 [χ2(1, N = 349) = 3.85, P = .0499].
CONCLUSIONS: RMMs to promote the appropriate use of allopurinol and prescriber education have a positive impact. We need further measures to reduce the incidence and severity of allopurinol-induced SCARs, such as patient education and more research into pharmacogenetic screening.

Matched MeSH terms: Pharmacogenomic Testing
Fulltext Candidate Gene Association Studies of Anthracycline-induced Cardiotoxicity: A Systematic Review and Meta-analysis

Leong SL, Chaiyakunapruk N, Lee SW

Sci Rep, 2017 02 27;7(1):39.
PMID: 28232737 DOI: 10.1038/s41598-017-00075-1

Anthracyclines play an important role in the management of patients with cancer but the development of anthracycline-induced cardiotoxicity (ACT) remains a significant concern for most clinicians. Recently, genetic approach has been used to identify patients at increased risk of ACT. This systematic review assessed the association between genomic markers and ACT. A systematic literature search was performed in Medline, PubMed, Cochrane Central Register of Controlled Studies, CINAHL Plus, AMED, EMBASE and HuGE Navigator from inception until May 2016. Twenty-eight studies examining the association of genetic variants and ACT were identified. These studies examined 84 different genes and 147 single nucleotide polymorphisms. Meta-analyses showed 3 risk variants significantly increased the risk for ACT; namely ABCC2 rs8187710 (pooled odds ratio: 2.20; 95% CI: 1.36-3.54), CYBA rs4673 (1.55; 1.05-2.30) and RAC2 rs13058338 (1.79; 1.27-2.52). The current evidence remains unclear on the potential role of pharmacogenomic screening prior to anthracycline therapy. Further research is needed to improve the diagnostic and prognostic role in predicting ACT.

Matched MeSH terms: Pharmacogenomic Testing
Fulltext The Use of SNPs in Pharmacogenomics Studies

Alwi ZB

Malays J Med Sci, 2005 Jul;12(2):4-12.
PMID: 22605952

Pharmacogenomics is the study of how genetic makeup determines the response to a therapeutic intervention. It has the potential to revolutionize the practice of medicine by individualisation of treatment through the use of novel diagnostic tools. This new science should reduce the trial-and-error approach to the choice of treatment and thereby limit the exposure of patients to drugs that are not effective or are toxic for them. Single Nucleotide Polymorphisms (SNPs) holds the key in defining the risk of an individual's susceptibility to various illnesses and response to drugs. There is an ongoing process of identifying the common, biologically relevant SNPs, in particular those that are associated with the risk of disease. The identification and characterization of large numbers of these SNPs are necessary before we can begin to use them extensively as genetic tools. As SNP allele frequencies vary considerably across human ethnic groups and populations, the SNP consortium has opted to use an ethnically diverse panel to maximize the chances of SNP discovery. Currently most studies are biased deliberately towards coding regions and the data generated from them therefore are unlikely to reflect the overall distribution of SNPs throughout the genome. The SNP consortium protocol was designed to identify SNPs without any bias towards these coding regions. Most pharmacogenomic studies were carried out in heterogeneous clinical trial populations, using case-control or cohort association study designs employing either candidate gene or Linkage disequilibrium (LD) mapping approaches. Concerns about the required patient sample sizes, the extent of LD, the number of SNPs needed in a map, the cost of genotyping SNPs, and the interpretation of results are some of the challenges that surround this field. While LD mapping is appealing in that it is an unbiased approach and allows a comprehensive genome-wide survey, the challenges and limitations are significant. An alternative such as the candidate gene approach does offer several advantages over LD mapping. Ultimately, as all human genes are discovered, the need for random SNP markers diminishes and gene-based SNP approaches will predominate. The challenges will then be to demonstrate convincing links between genetic variation and drug responses and to translate that information into useful pharmacogenomic tests.

Matched MeSH terms: Pharmacogenomic Testing
Cytochrome P450 genotype-guided drug therapies: An update on current states

Dong AN, Tan BH, Pan Y, Ong CE

Clin Exp Pharmacol Physiol, 2018 10;45(10):991-1001.
PMID: 29858511 DOI: 10.1111/1440-1681.12978

Over the past 2 decades, knowledge of the role and clinical value of pharmacogenetic markers has expanded so that individualized pre-emptive therapy based on genetic background of patients could be within reach for clinical implementation. This is evidenced from the frequent updating of drug labels that incorporates pharmacogenetic information (where compelling data become available) by the regulatory agencies (such as the US FDA), and the periodical publication of guidelines of specific therapeutic recommendations based on the results of pharmacogenetic tests by the pharmacogenetics working groups or consortiums of professional bodies. Clinical relevance of the cytochrome P450 (CYP) polymorphism related to dose, effectiveness and/or toxicity of key drugs are presented in this review, including that of warfarin, clopidogrel, tricyclic antidepressants, and proton pump inhibitors. Prospect for routine clinical application of CYP genotyping before prescribing drugs is still currently unclear due to challenges and barriers associated with availability of well-defined and validated pharmacogenetic studies, the interpretation, result reporting and potential error of genotype testing, involvement of non-genetic factors, and other patient's demographic and disease conditions. Further studies to provide additional supporting clinical data and acceleration of pharmacogenetic testing standards and techniques should help improve the evidence base needed for clinical utility and hence move the implementation of genotype-guided therapy in clinical practice a step closer to reality.

Matched MeSH terms: Pharmacogenomic Testing
Fulltext Inconsistency in race and ethnic classification in pharmacogenetics studies and its potential clinical implications

Zhang F, Finkelstein J

Pharmgenomics Pers Med, 2019;12:107-123.
PMID: 31308725 DOI: 10.2147/PGPM.S207449

Introduction: Racial and ethnic categories are frequently used in pharmacogenetics literature to stratify patients; however, these categories can be inconsistent across different studies. To address the ongoing debate on the applicability of traditional concepts of race and ethnicity in the context of precision medicine, we aimed to review the application of current racial and ethnic categories in pharmacogenetics and its potential impact on clinical care.
Methods: One hundred and three total pharmacogenetics papers involving the CYP2C9, CYP2C19, and CYP2D6 genes were analyzed for their country of origin, racial, and ethnic categories used, and allele frequency data. Correspondence between the major continental racial categories promulgated by National Institutes of Health (NIH) and those reported by the pharmacogenetics papers was evaluated.
Results: The racial and ethnic categories used in the papers we analyzed were highly heterogeneous. In total, we found 66 different racial and ethnic categories used which fall under the NIH race category "White", 47 different racial and ethnic categories for "Asian", and 62 different categories for "Black". The number of categories used varied widely based on country of origin: Japan used the highest number of different categories for "White" with 17, Malaysia used the highest number for "Asian" with 24, and the US used the highest number for "Black" with 28. Significant variation in allele frequency between different ethnic subgroups was identified within 3 major continental racial categories.
Conclusion: Our analysis showed that racial and ethnic classification is highly inconsistent across different papers as well as between different countries. Evidence-based consensus is necessary for optimal use of self-identified race as well as geographical ancestry in pharmacogenetics. Common taxonomy of geographical ancestry which reflects specifics of particular countries and is accepted by the entire scientific community can facilitate reproducible pharmacogenetic research and clinical implementation of its results.

Matched MeSH terms: Pharmacogenomic Testing
Genetic variations in influx transporter gene SLC22A1 are associated with clinical responses to imatinib mesylate among Malaysian chronic myeloid leukaemia patients

Makhtar SM, Husin A, Baba AA, Ankathil R

J Genet, 2018 Sep;97(4):835-842.
PMID: 30262695

Imatinib mesylate (IM), a well-established gold standard drug in the treatment of chronic myeloid leukaemia (CML), is a synthetic tyrosine kinase inhibitor. Despite excellent efficacy, a significant number of patients on IM therapy develop resistance to IM. Currently, great focus has been laid on the effect of interindividual pharmacogenetic variability on IM treatment responses. IM uptake is mediated by the hOCT1 protein encoded by the solute carrier 22 gene (SLC22A1). The current study investigated the impact of few single-nucleotide polymorphisms (SNPs) of SLC22A1 on mediating resistance and/or good response to IM among 278 Malaysian CML patients (146 IM-resistant group and 132 IM good response group) undergoing IM therapy on 400 mg daily. Our results showed that the allelic frequencies of heterozygous (CG) and homozygous variant (GG) genotypes of SLC22A1 C480G were significantly higher in the IM-resistant group compared with the IM good response group (41.8% versus 30.3% and 10.9% versus 4.5% with P values of 0.047 and 0.048, respectively). On evaluating the association of genotypes with risk of IM resistance development, heterozygous (CG) and homozygous (GG) variant genotypes showed significantly higher risk for developing resistance to IM treatment with odds ratio (OR): 1.901 (95% confidence interval (CI): 1.142-3.163, P = 0.013) and 3.324 (95% CI: 1.235-8.947, P = 0.017), respectively. Two SNPs and two insertions/deletions were detected in exon 7 of SLC22A1. For exon 7, 1222AA carriers together with the presence of both the 8-bp insertion and 3-bp deletion, and M420del alleles showed higher possibility of developing resistance towards IMtreatment. Our results warrant the need of genotyping this SNP in terms of modulating IM treatment in CML patients.

Matched MeSH terms: Pharmacogenomic Testing
Genetic markers predicting sulphonylurea treatment outcomes in type 2 diabetes patients: current evidence and challenges for clinical implementation

Loganadan NK, Huri HZ, Vethakkan SR, Hussein Z

Pharmacogenomics J, 2016 06;16(3):209-19.
PMID: 26810132 DOI: 10.1038/tpj.2015.95

The clinical response to sulphonylurea, an oral antidiabetic agent often used in combination with metformin to control blood glucose in type 2 diabetes (T2DM) patients, has been widely associated with a number of gene polymorphisms, particularly those involved in insulin release. We have reviewed the genetic markers of CYP2C9, ABCC8, KCNJ11, TCF7L2 (transcription factor 7-like 2), IRS-1 (insulin receptor substrate-1), CDKAL1, CDKN2A/2B, KCNQ1 and NOS1AP (nitric oxide synthase 1 adaptor protein) genes that predict treatment outcomes of sulphonylurea therapy. A convincing pattern for poor sulphonylurea response was observed in Caucasian T2DM patients with rs7903146 and rs1801278 polymorphisms of the TCF7L2 and IRS-1 genes, respectively. However, limitations in evaluating the available studies including dissimilarities in study design, definitions of clinical end points, sample sizes and types and doses of sulphonylureas used as well as ethnic variability make the clinical applications challenging. Future studies need to address these limitations to develop personalized sulphonylurea medicine for T2DM management.

Matched MeSH terms: Pharmacogenomic Testing