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VDR polymorphisms influence immunological response in HIV-1+ individuals undergoing antiretroviral therapy.

ABSTRACT: Vitamin D exerts an immuno-modulatory activity on several immune system cells through the vitamin D receptor (VDR). Herein, we verified that age and a therapeutic regimen containing protease inhibitors are associated with failures in antiretroviral therapies (ARVs). In addition, we assessed whether a VDR SNP (rs11568820: C allele and CC genotype) and GC (rs2228570-rs11568820) allelic combinations are associated with immunological failure (p < 0.05). Our findings suggest a possible role of VDR SNPs on immunological failure in HIV-1+ individuals undergoing regular ARVs.

SUBMITTER: Silva RCD

PROVIDER: S-EPMC6726152 | biostudies-literature | 2019 Apr-Jun

REPOSITORIES: biostudies-literature

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VDR polymorphisms influence immunological response in HIV-1+ individuals undergoing antiretroviral therapy.

Silva Ronaldo Celerino da RCD Alves Neyla Maria Pereira NMP Pereira Jorge José de Souza JJS Coelho Antonio Victor Campos AVC Arraes Luiz Cláudio LC Brandão Lucas André Cavalcanti LAC Crovella Sergio S Silva Jaqueline de Azevêdo JA

Genetics and molecular biology 20190401 2

Vitamin D exerts an immuno-modulatory activity on several immune system cells through the vitamin D receptor (VDR). Herein, we verified that age and a therapeutic regimen containing protease inhibitors are associated with failures in antiretroviral therapies (ARVs). In addition, we assessed whether a VDR SNP (rs11568820: C allele and CC genotype) and GC (rs2228570-rs11568820) allelic combinations are associated with immunological failure (p < 0.05). Our findings suggest a possible role of VDR SN ...[more]

PMID: 31259360

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Project description:Abstract Background Single-nucleotide polymorphisms (SNPs) in CYP2B6 have previously been associated with a 10-fold range in trough plasma efavirenz concentrations, but associations between these SNPs and efavirenz (EFV)-mediated viral suppression and tolerability remain unclear. Methods We evaluated three SNPs in CYP2B6 (rs3745274, rs28399499, and rs4803419, Illumina OmniExpress) among HIV-infected Ugandans observed in a cohort study every 3–4 months from 2005–2015. Genotypes from these SNPs were used to group participants into previously described pharmacokinetic strata: extensive (EXT), intermediate (INT), and slow metabolizers (Figure 1). The primary outcomes were viral suppression, defined by an undetectable viral load in the first measurement a minimum of three months after ART initiation, and incident depression in the first two years, defined by a mean score >1.75 on the Hopkins Symptom Checklist. We fitted standard and generalized estimating equations (GEE) logistic regression models for viral suppression and depression, respectively. Models were adjusted for clinical and demographic covariates that reached a significance of P < 0.25 in unadjusted models. Results Among 103 participants with genotyping, there were no differences in pre-ART viral load or depression by metabolism strata (P > 0.5). Minor allele frequencies for rs3745274, rs28399499, and rs4803419 were 33%, 7%, and 4%, respectively. Approximately 79%, 78%, and 94% of participants were suppressed at their first viral load measurement in the extensive, intermediate, and slow metabolizer strata, respectively (Figure 2; P = 0.35). In adjusted models, metabolism strata were not associated with viral suppression (AORINT 0.81, 95% CI 0.26–2.56; AORSLOW 3.92, 95% CI 0.39–39.40) or with depression (AORINT 1.95, 95% CI 0.75–5.09; AORSLOW 0.72, 95% CI 0.17–3.02; Table). Conclusion We did not identify an association between efavirenz-metabolizing polymorphisms and viral suppression or depression in a cohort of HIV-infected individuals initiating ART in southwestern Uganda. Future work should reassess these relationships with larger samples and longer-term outcomes and explore additional polymorphisms that may be associated with efavirenz metabolism in this population. Disclosures P. Hunt, Merck: Consultant, Consulting fee; Gilead: Consultant, Consulting fee; Viiv: Consultant, Consulting fee

Project description:INTRODUCTION:In Sub-Saharan African (SSA) resource limited settings, Cluster of Differentiation 4 (CD4) counts continue to be used for clinical decision making in antiretroviral therapy (ART). Here, HIV-infected people often remain with CD4 counts <350 cells/?L even after 5 years of viral load suppression. Ongoing immunological monitoring is necessary. Due to varying statistical modeling methods comparing immune response to ART across different cohorts is difficult. We systematically review such models and detail the similarities, differences and problems. METHODS:'Preferred Reporting Items for Systematic Review and Meta-Analyses' guidelines were used. Only studies of immune-response after ART initiation from SSA in adults were included. Data was extracted from each study and tabulated. Outcomes were categorized into 3 groups: 'slope', 'survival', and 'asymptote' models. Wordclouds were drawn wherein the frequency of variables occurring in the reviewed models is indicated by their size and color. RESULTS:69 covariates were identified in the final models of 35 studies. Effect sizes of covariates were not directly quantitatively comparable in view of the combination of differing variables and scale transformation methods across models. Wordclouds enabled the identification of qualitative and semi-quantitative covariate sets for each outcome category. Comparison across categories identified sex, baseline age, baseline log viral load, baseline CD4, ART initiation regimen and ART duration as a minimal consensus set. CONCLUSION:Most models were different with respect to covariates included, variable transformations and scales, model assumptions, modelling strategies and reporting methods, even for the same outcomes. To enable comparison across cohorts, statistical models would benefit from the application of more uniform modelling techniques. Historic efforts have produced results that are anecdotal to individual cohorts only. This study was able to define 'prior' knowledge in the Bayesian sense. Such information has value for prospective modelling efforts.

Dataset Information

VDR polymorphisms influence immunological response in HIV-1+ individuals undergoing antiretroviral therapy.

Publications

VDR polymorphisms influence immunological response in HIV-1+ individuals undergoing antiretroviral therapy.

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