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      Pharmacogenetics of tenofovir and emtricitabine penetration into cerebrospinal fluid

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          Abstract

          Background

          Blood-cerebrospinal fluid (CSF) barrier transporters affect the influx and efflux of drugs. The antiretrovirals tenofovir and emtricitabine may be substrates of blood-brain barrier (BBB) and blood-CSF barrier transporters, but data are limited regarding the pharmacogenetics and pharmacokinetics of their central nervous system (CNS) penetration.

          Objectives

          We investigated genetic polymorphisms associated with CSF disposition of tenofovir and emtricitabine.

          Method

          We collected paired plasma and CSF samples from 47 HIV-positive black South African adults who were virologically suppressed on efavirenz, tenofovir and emtricitabine. We considered 1846 single-nucleotide polymorphisms from seven relevant transporter genes ( ABCC5, ABCG2, ABCB1, SLCO2B1, SCLO1A2, SLCO1B1 and ABCC4) and 782 met a linkage disequilibrium (LD)-pruning threshold.

          Results

          The geometric mean (95% confidence interval [CI]) values for tenofovir and emtricitabine CSF-to-plasma concentration ratios were 0.023 (0.021–0.026) and 0.528 (0.460–0.605), respectively. In linear regression models, the lowest p-value for association with the tenofovir CSF-to-plasma ratio was ABCB1 rs1989830 ( p = 1.2 × 10 −3) and for emtricitabine, it was ABCC5 rs11921035 ( p = 1.4 × 10 −3). None withstood correction for multiple testing.

          Conclusion

          No genetic polymorphisms were associated with plasma, CSF concentrations or CSF-to-plasma ratios for either tenofovir or emtricitabine.

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          Most cited references25

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          PLINK: a tool set for whole-genome association and population-based linkage analyses.

          Whole-genome association studies (WGAS) bring new computational, as well as analytic, challenges to researchers. Many existing genetic-analysis tools are not designed to handle such large data sets in a convenient manner and do not necessarily exploit the new opportunities that whole-genome data bring. To address these issues, we developed PLINK, an open-source C/C++ WGAS tool set. With PLINK, large data sets comprising hundreds of thousands of markers genotyped for thousands of individuals can be rapidly manipulated and analyzed in their entirety. As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage. We introduce PLINK and describe the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation. In particular, we focus on the estimation and use of identity-by-state and identity-by-descent information in the context of population-based whole-genome studies. This information can be used to detect and correct for population stratification and to identify extended chromosomal segments that are shared identical by descent between very distantly related individuals. Analysis of the patterns of segmental sharing has the potential to map disease loci that contain multiple rare variants in a population-based linkage analysis.
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            African genetic diversity: implications for human demographic history, modern human origins, and complex disease mapping.

            Comparative studies of ethnically diverse human populations, particularly in Africa, are important for reconstructing human evolutionary history and for understanding the genetic basis of phenotypic adaptation and complex disease. African populations are characterized by greater levels of genetic diversity, extensive population substructure, and less linkage disequilibrium (LD) among loci compared to non-African populations. Africans also possess a number of genetic adaptations that have evolved in response to diverse climates and diets, as well as exposure to infectious disease. This review summarizes patterns and the evolutionary origins of genetic diversity present in African populations, as well as their implications for the mapping of complex traits, including disease susceptibility.
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              Central nervous system viral invasion and inflammation during acute HIV infection.

              Understanding the earliest central nervous system (CNS) events during human immunodeficiency virus (HIV) infection is crucial to knowledge of neuropathogenesis, but these have not previously been described in humans. Twenty individuals who had acute HIV infection (Fiebig stages I-IV), with average 15 days after exposure, underwent clinical neurological, cerebrospinal fluid (CSF), magnetic resonance imaging, and magnetic resonance spectroscopy (MRS) characterization. HIV RNA was detected in the CSF from 15 of 18 subjects as early as 8 days after estimated HIV transmission. Undetectable CSF levels of HIV (in 3 of 18) was noted during Fiebig stages I, II, and III, with plasma HIV RNA levels of 285651, 2321, and 81978 copies/mL, respectively. On average, the CSF HIV RNA level was 2.42 log(10) copies/mL lower than that in plasma. There were no cases in which the CSF HIV RNA level exceeded that in plasma. Headache was common during the acute retroviral syndrome (in 11 of 20 subjects), but no other neurological signs or symptoms were seen. Intrathecal immune activation was identified in some subjects with elevated CSF neopterin, monocyte chemotactic protein/CCL2, and interferon γ-induced protein 10/CXCL-10 levels. Brain inflammation was suggested by MRS. CSF HIV RNA was detectable in humans as early as 8 days after exposure. CNS inflammation was apparent by CSF analysis and MRS in some individuals during acute HIV infection.
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                Author and article information

                Journal
                South Afr J HIV Med
                South Afr J HIV Med
                HIVMED
                Southern African Journal of HIV Medicine
                AOSIS
                1608-9693
                2078-6751
                28 April 2021
                2021
                : 22
                : 1
                : 1206
                Affiliations
                [1 ]Division of Clinical Pharmacology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
                [2 ]Division of Clinical Pharmacology, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
                [3 ]Department of Psychiatry and Mental Health, Health Sciences, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
                [4 ]Department of Medicine, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee, United States
                [5 ]Department of Internal Medicine, Meharry Medical College, Nashville, Tennessee, United States
                Author notes
                Corresponding author: Eric Decloedt, ericdecloedt@ 123456sun.ac.za
                Author information
                https://orcid.org/0000-0003-1815-5150
                https://orcid.org/0000-0002-1312-3523
                https://orcid.org/0000-0002-9070-8699
                https://orcid.org/0000-0003-4260-1181
                https://orcid.org/0000-0002-5813-1594
                https://orcid.org/0000-0003-3080-6606
                Article
                HIVMED-22-1206
                10.4102/sajhivmed.v22i1.1206
                8111650
                f308be74-b0af-4e9f-b250-194161510bcb
                © 2021. The Authors

                Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.

                History
                : 22 December 2020
                : 09 March 2021
                Categories
                Original Research

                pharmacokinetics,pharmacogenetics,tenofovir,emtricitabine,cerebrospinal fluid

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