Volume 32, Issue 1 453479 pp. 43-50
Article
Open Access

Prevalence of MDR1 C3435T and CYP2B6 G516T Polymorphisms among HIV-1 Infected South African Patients

Tracy Madimabi Masebe

Tracy Madimabi Masebe

AIDS Virus Research Laboratory Department of Microbiology University of Venda Thohoyandou, South Africa , univen.ac.za

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Pascal Obong Bessong

Corresponding Author

Pascal Obong Bessong

AIDS Virus Research Laboratory Department of Microbiology University of Venda Thohoyandou, South Africa , univen.ac.za

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Julius Nwobegahay

Julius Nwobegahay

AIDS Virus Research Laboratory Department of Microbiology University of Venda Thohoyandou, South Africa , univen.ac.za

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Roland Ndip Ndip

Roland Ndip Ndip

Department of Biochemistry and Microbiology University of Fort Hare Alice, South Africa , ufh.ac.za

Department of Life Sciences University of Buea Buea, Cameroon , ubuea.cm

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Debra Meyer

Debra Meyer

Department of Biochemistry University of Pretoria Pretoria, South Africa , up.ac.za

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First published: 23 May 2013

Abstract

Data on genetic polymorphisms associated with response to anti-HIV drugs has accumulated over the years. Information on how polymorphisms influence drug metabolism and transport to target sites is important in guiding dosage or selection of appropriate alternative therapies. This study determined the frequency of MDR1 C3435T and CYP2B6 G516T polymorphisms associated with the transport and metabolism of efavirenz and nevirapine, in a population of South African HIV infected patients. In addition, association of polymorphisms with immunologic and virologic factors was investigated. A 207bp of MDR1 exon 26 and a 161bp of CYP2B6 exon 4 were obtained from patients by polymerase chain reaction. Analysis of population-based sequences of MDR1 revealed a frequency of 89% and 11% of C and T alleles respectively (n=197; X2 = 0.974; p=0.324). Restriction fragment length polymorphism (RFLP) analysis of the CYP2B6 gene revealed a prevalence of 9.5% of GG, 78.4% of GT and 12.1% of TT genotype (n= 199; X2 = 65.204; p=0.00). There was no significant difference between immune recovery and decline in viral load (n=53), with genotype after repeated calculations of analysis of variance (ANOVA).

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