Literature DB >> 27211824

Effect of mid-dose efavirenz concentrations and CYP2B6 genotype on viral suppression in patients on first-line antiretroviral therapy.

Catherine Orrell1, Andrzej Bienczak2, Karen Cohen2, David Bangsberg3, Robin Wood4, Gary Maartens2, Paolo Denti2.   

Abstract

The therapeutic range for efavirenz plasma concentrations is unclear and some studies found no correlation with viral non-suppression. Efavirenz concentrations are variable, driven in part by polymorphisms in CYP2B6. We hypothesised that efavirenz mid-dosing concentrations, together with CYP2B6 metaboliser genotype, could predict viral non-suppression. Participants starting first-line efavirenz-based antiretroviral therapy were monitored for 48 weeks. HIV-RNA and efavirenz mid-dose interval concentrations were determined at Weeks 16 and 48. CYP2B6 metaboliser genotype status was determined by 516G→T and 983T→C polymorphisms. Cox proportional hazards modelling was used to predict viral non-suppression and to determine the most predictive efavirenz mid-dosing concentration threshold. In total, 180 participants were included. Median efavirenz concentrations were 2.3 mg/L (IQR 1.6-4.6 mg/L) and 2.2 mg/L (IQR 1.5-3.9 mg/L) at Weeks 16 and 48, respectively. Moreover, 49 (27.2%), 84 (46.7%) and 39 (21.7%) participants had extensive, intermediate or slow CYP2B6 metaboliser genotype, respectively. Log2 efavirenz concentrations [adjusted hazard ratio (aHR) = 0.77, 95% CI 0.67-0.89] and baseline CD4 cell count (aHR = 0.994, 95% CI 0.989-0.998), but not CYP2B6 genotype, were predictive of viral non-suppression. For every doubling of efavirenz concentration there was a 23% decrease in the hazard of non-suppression. A threshold of 0.7 mg/L was found to be the efavirenz mid-dosing concentration that was most predictive of non-suppression. Mid-dosing efavirenz concentrations are predictive of viral non-suppression, but the currently recommended lower therapeutic limit (1 mg/L) is higher than our finding. Knowledge of CYP2B6 metaboliser genotype is not required for prediction of virological outcomes.
Copyright © 2016 Elsevier B.V. and International Society of Chemotherapy. All rights reserved.

Entities:  

Keywords:  CYP2B6; Efavirenz; Pharmacogenetic; Pharmacokinetic; Therapeutic drug monitoring; Virological failure

Mesh:

Substances:

Year:  2016        PMID: 27211824     DOI: 10.1016/j.ijantimicag.2016.03.017

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  7 in total

1.  A Comparison of Plasma Efavirenz and Tenofovir, Dried Blood Spot Tenofovir-Diphosphate, and Self-Reported Adherence to Predict Virologic Suppression Among South African Women.

Authors:  Tamsin K Phillips; Phumla Sinxadi; Elaine J Abrams; Allison Zerbe; Catherine Orrell; Nai-Chung Hu; Kirsty Brittain; Yolanda Gomba; Jennifer Norman; Lubbe Wiesner; Landon Myer; Gary Maartens
Journal:  J Acquir Immune Defic Syndr       Date:  2019-07-01       Impact factor: 3.731

2.  Prediction of plasma efavirenz concentrations among HIV-positive patients taking efavirenz-containing combination antiretroviral therapy.

Authors:  Sung-Hsi Huang; Shu-Wen Lin; Sui-Yuan Chang; Ya-Ting Lin; Chieh Chiang; Chin-Fu Hsiao; Hsin-Yun Sun; Wen-Chun Liu; Yi-Ching Su; Chien-Ching Hung; Shan-Chwen Chang
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

3.  A Mechanism-Based Population Pharmacokinetic Analysis Assessing the Feasibility of Efavirenz Dose Reduction to 400 mg in Pregnant Women.

Authors:  Stein Schalkwijk; Rob Ter Heine; Angela C Colbers; Alwin D R Huitema; Paolo Denti; Kelly E Dooley; Edmund Capparelli; Brookie M Best; Tim R Cressey; Rick Greupink; Frans G M Russel; Mark Mirochnick; David M Burger
Journal:  Clin Pharmacokinet       Date:  2018-11       Impact factor: 6.447

4.  Role of efavirenz plasma concentrations on long-term HIV suppression and immune restoration in HIV-infected children.

Authors:  Nontiya Homkham; Tim R Cressey; Naim Bouazza; Lily Ingsrisawang; Pornchai Techakunakorn; Jutarat Mekmullica; Thitiporn Borkird; Achara Puangsombat; Sathaporn Na-Rajsima; Jean Marc Treluyer; Saik Urien; Gonzague Jourdain
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

5.  Correlation of hair and plasma efavirenz concentrations in HIV-positive South Africans.

Authors:  Jenna Johnston; Lubbe Wiesner; Peter Smith; Gary Maartens; Catherine Orrell
Journal:  South Afr J HIV Med       Date:  2019-04-29       Impact factor: 2.744

6.  Impact of Integrase Inhibition Compared With Nonnucleoside Inhibition on HIV Reservoirs in Lymphoid Tissues.

Authors:  Meghan Rothenberger; Krystelle Nganou-Makamdop; Cissy Kityo; Francis Ssali; Jeffrey G Chipman; Gregory J Beilman; Torfi Hoskuldsson; Jodi Anderson; Jake Jasurda; Thomas E Schmidt; Samuel P Calisto; Hope Pearson; Thomas Reimann; Caitlin David; Katherine Perkey; Peter Southern; Steve Wietgrefe; Erika Helgeson; Cavan Reilly; Ashley T Haase; Daniel C Douek; Courtney V Fletcher; Timothy W Schacker
Journal:  J Acquir Immune Defic Syndr       Date:  2019-07-01       Impact factor: 3.731

7.  Pharmacokinetics and Drug-Drug Interactions of Isoniazid and Efavirenz in Pregnant Women Living With HIV in High TB Incidence Settings: Importance of Genotyping.

Authors:  Kamunkhwala Gausi; Lubbe Wiesner; Jennifer Norman; Carole L Wallis; Carolyne Onyango-Makumbi; Tsungai Chipato; David W Haas; Renee Browning; Nahida Chakhtoura; Grace Montepiedra; Lisa Aaron; Katie McCarthy; Sarah Bradford; Tichaona Vhembo; Lynda Stranix-Chibanda; Gaerolwe R Masheto; Avy Violari; Blandina T Mmbaga; Linda Aurpibul; Ramesh Bhosale; Neetal Nevrekhar; Vanessa Rouzier; Enid Kabugho; Mercy Mutambanengwe; Vongai Chanaiwa; Mandisa Nyati; Tsungai Mhembere; Fuanglada Tongprasert; Anneke Hesseling; Katherine Shin; Bonnie Zimmer; Diane Costello; Patrick Jean-Philippe; Timothy R Sterling; Gerhard Theron; Adriana Weinberg; Amita Gupta; Paolo Denti
Journal:  Clin Pharmacol Ther       Date:  2020-10-16       Impact factor: 6.875

  7 in total

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