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An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients

Overview of attention for article published in Frontiers in Genetics, January 2016
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Title
An Expanded Analysis of Pharmacogenetics Determinants of Efavirenz Response that Includes 3′-UTR Single Nucleotide Polymorphisms among Black South African HIV/AIDS Patients
Published in
Frontiers in Genetics, January 2016
DOI 10.3389/fgene.2015.00356
Pubmed ID
Authors

Marelize Swart, Jonathan Evans, Michelle Skelton, Sandra Castel, Lubbe Wiesner, Peter J. Smith, Collet Dandara

Abstract

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. 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. Despite evaluating thirty SNPs, CYP2B6 c.516G>T and c.983T>C SNPs remain the most prominent predictors of EFV plasma concentration. 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 25%
Researcher 11 21%
Student > Ph. D. Student 9 17%
Student > Bachelor 4 8%
Professor 2 4%
Other 6 11%
Unknown 8 15%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Biochemistry, Genetics and Molecular Biology 11 21%
Agricultural and Biological Sciences 7 13%
Pharmacology, Toxicology and Pharmaceutical Science 5 9%
Immunology and Microbiology 4 8%
Other 6 11%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 January 2016.
All research outputs
#18,434,182
of 22,837,982 outputs
Outputs from Frontiers in Genetics
#7,051
of 11,824 outputs
Outputs of similar age
#284,412
of 393,723 outputs
Outputs of similar age from Frontiers in Genetics
#48
of 55 outputs
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We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.