(See the Brief Report Article by Haas and Acosta on pages 1820–2.)
The report from Haas and Acosta in this issue of Clinical Infectious Diseases presents a pharmacokinetic and pharmacogenomic analysis utilizing plasma concentration and genotype data obtained during their study of healthy, white volunteers receiving efavirenz followed by dolutegravir. This study also examined the relationship of the CYP2B6 genotype polymorphism to the pharmacokinetic interaction between efavirenz and dolutegravir. The authors indicate that the safest strategy for using dolutegravir in a second-line regimen would be to switch directly from efavirenz-containing regimens only in individuals with an undetectable viral load. The implementation of this recommendation is likely to be variable among low- and middle-income countries (LMICs) and would likely be facilitated by additional clinical research.
EFAVIRENZ PHARMACOGENOMICS/PHARMACOKINETICS AND LOWER DOLUTEGRAVIR EXPOSURE
This complex interaction occurs when prior efavirenz dosing in certain individuals is discontinued but sustained efavirenz plasma concentrations result because these individuals have a “slow metabolizer phenotype.” Frequent CYP2B6 polymorphisms, especially CYP2B6 516G→T (rs3745274, *6 allele) and 983T→C (rs28399499, *9 allele), identify slow metabolizers associated with increased plasma efavirenz exposure, with slow metabolizer genotypes are present in Asians (30%), Africans (25%), and Europeans (5%). Thus, a key point is to consider that this interaction may occur in 25%–30% of individuals receiving dolutegravir in a second-line regimen in LMICs. As a result of the prolonged decline in efavirenz plasma concentrations, hepatic enzyme induction persists, leading to lower dolutegravir plasma concentrations. Based on these data, introducing dolutegravir at the recommended dose may result in “underdosing” in selected individuals. As this regimen switch may occur in some who may be failing their initial regimen, a question to consider is “How can this negative pharmacokinetic interaction be identified and potential drug resistance minimized when a switch to dolutegravir is planned in individuals in LMICs?”
LMICs AND CAPACITY TO CONDUCT TO CLINICAL RESEARCH TO MINIMIZE NEGATIVE OUTCOMES FROM THE EFAVIRENZ-DOLUTEGRAVIR INTERACTION
There has been substantial effort put into establishing LMIC laboratory capacity to support human immunodeficiency virus (HIV) pharmacokinetics and pharmacogenomics research. These efforts have been highlighted in reviews and individual examples of clinical pharmacology [1–12] and pharmacogenomics [8, 13–19] research programs that have been previously reported. The result of these capacity-building efforts, along with current funding to further expand research laboratory infrastructure, has led to LMIC opportunities that are now able to conduct implementation/translational research and investigate clinical challenges such as how to approach the efavirenz-dolutegravir negative pharmacokinetic interaction in clinical care settings. The additional laboratory capacity has been accompanied by mentored training of scientists and technical staff, further increasing the ability to conduct important clinical research.
A REPRESENTATIVE IMPLEMENTATION RESEARCH APPROACH IN AFRICA
The next step in adapting these efavirenz and dolutegravir pharmacogenomic/pharmacokinetic data to LMICs would be to (1) identify clinical sites where dolutegravir is being rolled out for first- and second-line HIV-1 therapy, (2) identify clinical research teams that have the capacity to conduct research protocols, (3) identify laboratories with pharmacogenomic assay capability (eg, polymerase chain reaction, next-generation sequencing) and drug assay capability to measure efavirenz and dolutegravir concentrations, and (4) establish a pharmacovigilance network to provide a measure of quality assurance for similar studies across LMICs [20, 21]. All of these items are readily available in LMICs; however, some additional communication among programs would be needed to organize this type of implementation/translational research. Table 1 includes a representative approach with groups that would be able to organize, fund, and evaluate dolutegravir use in second-line regimens and identify key programmatic components that are still needed and can be developed through clinical research and education training programs. There are multiple regions, organizations, and clinical research sites that could also conduct this type of implementation research.
Table 1.
Gap for Second-line Dolutegravir Implementation Research | Organization | Contribution |
---|---|---|
Dolutegravir rollout sponsor | PEPFAR | Multiple country organization for implementing dolutegravir access |
Clinical care site | Hospital-based clinic, Ministry of Health Clinic | Recruitment of participants into protocol |
Clinical research unit | NIAID/DAIDS Clinical Trials Units | Study design, regulatory compliance, staff mentoring |
Research and training | Fogarty International Center | Funding for HIV research and training programs, support for pilot research projects for scholars |
Pharmacogenomics | H3Africa | Laboratory technology for genotyping, sample collection, and transport guidelines |
Pharmacovigilance | Pharmacovigilance System in Sub-Saharan Africa | Umbrella organization for organizing the implementation research project |
Pharmacokinetics | Clinical Pharmacology Laboratories (eg, South Africa, Zimbabwe, Uganda) | Bioanalysis research with required mass spectrometry instrumentation, validated drug assays |
Data collection and harmonization | IeDEA Cohort Consortium | Data collection to facilitate multiple clinical research sites, data analysis |
Abbreviations: HIV, human immunodeficiency virus; IeDEA, International Epidemiology Databases to Evaluate AIDS; NIAID/DAIDS, National Institute of Allergy and Infectious Diseases, Division of AIDS; PEPFAR, US President’s Emergency Plan For AIDS Relief.
Some of these programs provide funding support for pilot research and could be organized in a manner that leverages the “in kind” resources offered by many of these initiatives.
Conclusions
The report of a negative pharmacokinetic interaction between efavirenz and dolutegravir could have important clinical implications for second-line treatment of HIV infection in LMICs. However, additional studies are needed to examine the impact of this interaction on the success of dolutegravir-containing second-line regimens. Recent capacity building and program implementation efforts provide the infrastructure to continue this area of clinical research that is needed to determine the incidence of the slow metabolizer phenotype and the percentage of individuals who experience reduced dolutegravir plasma concentrations, as well as the impact of these findings on drug resistance and second-line treatment failure. Establishing a cross-agency, multicenter study would be well-positioned to examine these questions and provide additional guidance for regimen selection, dolutegravir dosing, and clinical monitoring.
Notes
Financial support. Gene D. Morse is partially supported by the following Grant Numbers: D43TW010313 (University at Buffalo – University of Zimbabwe HIV Research Training Program) and D43TW010919 (University at Buffalo – University of The West Indies Global Infectious Disease Research Training Program) from the Fogarty International Center; UM1 AI068634, UM1 AI068636 and UM1 AI106701 from the National Institute of Allergy and Infectious Diseases of the National Institutes of Health on subawards to the University at Buffalo Pharmacology Specialty Laboratory and the University of Rochester AIDS Clinical Trials Unit; and UL1 TR001412 from the National Center for Advancing Translational Sciences for the University at Buffalo Clinical and Translational Science Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Potential conflicts of interest. The author: No reported conflicts of interest. The author has submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.
References
- 1.Bos JC, Prins JM, Misticio MC, et al. . Population pharmacokinetics with Monte Carlo simulations of gentamicin in a population of severely ill adult patients from sub-Saharan Africa. Antimicrob Agents Chemother 2019; 63:e02328–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Buzibye A, Musaazi J, von Braun A, et al. . Antiretroviral concentration measurements as an additional tool to manage virologic failure in resource limited settings: a case control study. AIDS Res Ther 2019; 16:39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Denti P, Martinson N, Cohn S, et al. . Population pharmacokinetics of rifampin in pregnant women with tuberculosis and HIV coinfection in Soweto, South Africa. Antimicrob Agents Chemother 2015; 60:1234–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gutierrez MM, Pillai G, Felix S, et al. . Building capability for clinical pharmacology research in sub-Saharan Africa. Clin Pharmacol Ther 2017; 102:786–95. [DOI] [PubMed] [Google Scholar]
- 5.Mahomed S, Garrett N, Capparelli E, et al. . Assessing the safety and pharmacokinetics of the monoclonal antibodies, VRC07-523LS and PGT121 in HIV negative women in South Africa: study protocol for the CAPRISA 012A randomised controlled phase I trial. BMJ Open 2019; 9:e030283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Morse GD, Maartens G, Maponga CC, Ma Q. Global HIV/AIDS clinical and translational pharmacology. AIDS Res Treat 2012; 2012:973627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Mukonzo JK, Nanzigu S, Rekić D, et al. . HIV/AIDS patients display lower relative bioavailability of efavirenz than healthy subjects. Clin Pharmacokinet 2011; 50:531–40. [DOI] [PubMed] [Google Scholar]
- 8.Mukonzo JK, Owen JS, Ogwal-Okeng J, et al. . Pharmacogenetic-based efavirenz dose modification: suggestions for an African population and the different CYP2B6 genotypes. PLoS One 2014; 9:e86919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nanzigu S, Eriksen J, Makumbi F, et al. . Pharmacokinetics of the nonnucleoside reverse transcriptase inhibitor efavirenz among HIV-infected Ugandans. HIV Med 2012; 13:193–201. [DOI] [PubMed] [Google Scholar]
- 10.Walubo A, Barnes KI, Kwizera E, Greeff O, Rosenkranz B, Maartens G. Clinical pharmacology becomes a specialty in South Africa. S Afr Med J 2013; 103:150–1. [DOI] [PubMed] [Google Scholar]
- 11.Zhou DT, Maponga CC, Madhombiro M, et al. . Mentored postdoctoral training in Zimbabwe: a report on a successful collaborative effort. J Public Health Afr 2019; 10:1081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mtisi TJ, Maponga C, Monera-Penduka TG, et al. . Strategic establishment of an International Pharmacology Specialty Laboratory in a resource-limited setting. Afr J Lab Med 2018; 7:659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Chaudhry M, Alessandrini M, Pepper MS. Pharmacogenomics for infectious diseases in sub-Saharan Africa: successes and opportunities. Appl Transl Genom 2016; 9:3–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dagenais R, Wilby KJ, Elewa H, Ensom MHH. Impact of genetic polymorphisms on phenytoin pharmacokinetics and clinical outcomes in the Middle East and North Africa region. Drugs R D 2017; 17:341–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dandara C, Masimirembwa C, Haffani YZ, et al. ; H3Africa . African Pharmacogenomics Consortium: consolidating pharmacogenomics knowledge, capacity development and translation in Africa: consolidating pharmacogenomics knowledge, capacity development and translation in Africa. AAS Open Res 2019; 2:19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Matimba A, Dhoro M, Dandara C. Is there a role of pharmacogenomics in Africa. Glob Health Epidemiol Genom 2016; 1:e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mukonzo JK, Kengo A, Kutesa B, et al. . Role of pharmacogenetics in rifampicin pharmacokinetics and the potential effect on TB-rifampicin sensitivity among Ugandan patients. Trans R Soc Trop Med Hyg 2020; 114:107–14. [DOI] [PubMed] [Google Scholar]
- 18.Mukonzo JK, Nanzigu S, Waako P, Ogwal-Okeng J, Gustafson LL, Aklillu E. CYP2B6 genotype, but not rifampicin-based anti-TB cotreatments, explains variability in long-term efavirenz plasma exposure. Pharmacogenomics 2014; 15:1423–35. [DOI] [PubMed] [Google Scholar]
- 19.Ngaimisi E, Habtewold A, Minzi O, et al. . Importance of ethnicity, CYP2B6 and ABCB1 genotype for efavirenz pharmacokinetics and treatment outcomes: a parallel-group prospective cohort study in two sub-Saharan Africa populations. PLoS One 2013; 8:e67946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Guth BD, Grobler AF, Frazier KS, et al. . Drug safety Africa: an overview of safety pharmacology and toxicology in South Africa. J Pharmacol Toxicol Methods 2019; 98:106579. [DOI] [PubMed] [Google Scholar]
- 21.Mudzviti T, Maponga CC, Khoza S, Ma Q, Morse GD. The impact of herbal drug use on adverse drug reaction profiles of patients on antiretroviral therapy in Zimbabwe. AIDS Res Treat 2012; 2012:434171. [DOI] [PMC free article] [PubMed] [Google Scholar]