Cargando…
An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients
Introduction: Efavirenz (EFV) is a non-nucleoside reverse transcriptase inhibitor prescribed as part of first-line highly active antiretroviral therapy (HAART) in South Africa. Despite administration of fixed doses of EFV, inter-individual variability in plasma concentrations has been reported. Poor...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703773/ https://www.ncbi.nlm.nih.gov/pubmed/26779253 http://dx.doi.org/10.3389/fgene.2015.00356 |
_version_ | 1782408774733004800 |
---|---|
author | Swart, Marelize Evans, Jonathan Skelton, Michelle Castel, Sandra Wiesner, Lubbe Smith, Peter J. Dandara, Collet |
author_facet | Swart, Marelize Evans, Jonathan Skelton, Michelle Castel, Sandra Wiesner, Lubbe Smith, Peter J. Dandara, Collet |
author_sort | Swart, Marelize |
collection | PubMed |
description | Introduction: Efavirenz (EFV) is a non-nucleoside reverse transcriptase inhibitor prescribed as part of first-line highly active antiretroviral therapy (HAART) in South Africa. Despite administration of fixed doses of EFV, inter-individual variability in plasma concentrations has been reported. Poor treatment outcomes such as development of adverse drug reactions or treatment failure have been linked to EFV plasma concentrations outside the therapeutic range (1–4 μg/mL) in some studies. The drug metabolizing enzyme (DME), CYP2B6, is primarily responsible for EFV metabolism with minor contributions by CYP1A2, CYP2A6, CYP3A4, CYP3A5, and UGT2B7. DME coding genes are also regulated by microRNAs through targeting the 3′-untranslated region. Expanded analysis of 30 single nucleotide polymorphisms (SNPs), including those in the 3′-UTR, was performed to identify pharmacogenetics determinants of EFV plasma concentrations in addition to CYP2B6 c.516G>T and c.983T>C SNPs. Methods: SNPs in CYP1A2, CYP2B6, UGT2B7, and NR1I2 (PXR) were selected for genotyping among 222 Bantu-speaking South African HIV-infected patients receiving EFV-containing HAART. This study is a continuation of earlier pharmacogenetics studies emphasizing the role of genetic variation in the 3′-UTR of genes which products are either pharmacokinetic or pharmacodynamic targets of EFV. Results: Despite evaluating thirty SNPs, CYP2B6 c.516G>T and c.983T>C SNPs remain the most prominent predictors of EFV plasma concentration. Conclusion: We have shown that CYP2B6 c.516G>T and c.983T>C SNPs are the most important predictors of EFV plasma concentration after taking into account all other SNPs, including genetic variation in the 3′-UTR, and variables affecting EFV metabolism. |
format | Online Article Text |
id | pubmed-4703773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47037732016-01-15 An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients Swart, Marelize Evans, Jonathan Skelton, Michelle Castel, Sandra Wiesner, Lubbe Smith, Peter J. Dandara, Collet Front Genet Pharmacology Introduction: Efavirenz (EFV) is a non-nucleoside reverse transcriptase inhibitor prescribed as part of first-line highly active antiretroviral therapy (HAART) in South Africa. Despite administration of fixed doses of EFV, inter-individual variability in plasma concentrations has been reported. Poor treatment outcomes such as development of adverse drug reactions or treatment failure have been linked to EFV plasma concentrations outside the therapeutic range (1–4 μg/mL) in some studies. The drug metabolizing enzyme (DME), CYP2B6, is primarily responsible for EFV metabolism with minor contributions by CYP1A2, CYP2A6, CYP3A4, CYP3A5, and UGT2B7. DME coding genes are also regulated by microRNAs through targeting the 3′-untranslated region. Expanded analysis of 30 single nucleotide polymorphisms (SNPs), including those in the 3′-UTR, was performed to identify pharmacogenetics determinants of EFV plasma concentrations in addition to CYP2B6 c.516G>T and c.983T>C SNPs. Methods: SNPs in CYP1A2, CYP2B6, UGT2B7, and NR1I2 (PXR) were selected for genotyping among 222 Bantu-speaking South African HIV-infected patients receiving EFV-containing HAART. This study is a continuation of earlier pharmacogenetics studies emphasizing the role of genetic variation in the 3′-UTR of genes which products are either pharmacokinetic or pharmacodynamic targets of EFV. Results: Despite evaluating thirty SNPs, CYP2B6 c.516G>T and c.983T>C SNPs remain the most prominent predictors of EFV plasma concentration. Conclusion: We have shown that CYP2B6 c.516G>T and c.983T>C SNPs are the most important predictors of EFV plasma concentration after taking into account all other SNPs, including genetic variation in the 3′-UTR, and variables affecting EFV metabolism. Frontiers Media S.A. 2016-01-07 /pmc/articles/PMC4703773/ /pubmed/26779253 http://dx.doi.org/10.3389/fgene.2015.00356 Text en Copyright © 2016 Swart, Evans, Skelton, Castel, Wiesner, Smith and Dandara. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Swart, Marelize Evans, Jonathan Skelton, Michelle Castel, Sandra Wiesner, Lubbe Smith, Peter J. Dandara, Collet An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients |
title | An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients |
title_full | An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients |
title_fullStr | An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients |
title_full_unstemmed | An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients |
title_short | An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients |
title_sort | expanded analysis of pharmacogenetics determinants of efavirenz response that includes 3′-utr single nucleotide polymorphisms among black south african hiv/aids patients |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703773/ https://www.ncbi.nlm.nih.gov/pubmed/26779253 http://dx.doi.org/10.3389/fgene.2015.00356 |
work_keys_str_mv | AT swartmarelize anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT evansjonathan anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT skeltonmichelle anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT castelsandra anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT wiesnerlubbe anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT smithpeterj anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT dandaracollet anexpandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT swartmarelize expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT evansjonathan expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT skeltonmichelle expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT castelsandra expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT wiesnerlubbe expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT smithpeterj expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients AT dandaracollet expandedanalysisofpharmacogeneticsdeterminantsofefavirenzresponsethatincludes3utrsinglenucleotidepolymorphismsamongblacksouthafricanhivaidspatients |