16 research outputs found
Viral Diversity and Diversification of Major Non-Structural Genes vif, vpr, vpu, tat exon 1 and rev exon 1 during Primary HIV-1 Subtype C Infection
To assess the level of intra-patient diversity and evolution of HIV-1C non-structural genes in primary infection, viral quasispecies obtained by single genome amplification (SGA) at multiple sampling timepoints up to 500 days post-seroconversion (p/s) were analyzed. The mean intra-patient diversity was 0.11% (95% CI; 0.02 to 0.20) for vif, 0.23% (95% CI; 0.08 to 0.38) for vpr, 0.35% (95% CI; β0.05 to 0.75) for vpu, 0.18% (95% CI; 0.01 to 0.35) for tat exon 1 and 0.30% (95% CI; 0.02 to 0.58) for rev exon 1 during the time period 0 to 90 days p/s. The intra-patient diversity increased gradually in all non-structural genes over the first year of HIV-1 infection, which was evident from the vif mean intra-patient diversity of 0.46% (95% CI; 0.28 to 0.64), vpr 0.44% (95% CI; 0.24 to 0.64), vpu 0.84% (95% CI; 0.55 to 1.13), tat exon 1 0.35% (95% CI; 0.14 to 0.56 ) and rev exon 1 0.42% (95% CI; 0.18 to 0.66) during the time period of 181 to 500 days p/s. There was a statistically significant increase in viral diversity for vif (pβ=β0.013) and vpu (pβ=β0.002). No associations between levels of viral diversity within the non-structural genes and HIV-1 RNA load during primary infection were found. The study details the dynamics of the non-structural viral genes during the early stages of HIV-1C infection
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Prevalence and molecular characterization of Hepatitis B in HIV infected individuals in Botswana
Emergence and Characterization of Serotype G9 Rotavirus Strains from Africa
Serotype G9 strains have been detected sporadically and in localized outbreaks in various African countries, including South Africa, Botswana, Malawi, Kenya, Cameroon, Nigeria, Ghana, Guinea-Bissau, Libya, and Mauritius. Serotype G9 strains were analyzed to investigate genogroup characteristics, including subgroup specificity, electropherotype, and P and G genotypes. In addition, the antigenic composition of the South African G9 strains was assessed. African G9 strains were associated with both DS-1-like characteristics and Wa-like characteristics, indicating the predisposition of G9 strains to frequently reassort. Despite these reassortment events, serotype G9 strains appear to maintain antigenic character in the outer capsid protein, as evident with the reaction of the South African G9 strains with the G9-specific monoclonal antibody F45:1. Phylogenetic analysis clustered African G9 strains geographically, regardless of genogroup characteristics, into 1 lineage (IIId). Two groups of G9 strains, originating in India and Japan, were identified in this lineage. Continuous surveillance of circulating rotavirus strains in Africa is vital to prepare for future vaccine implementation on a continent that clearly needs such preventative medicine
HIV-1 subtype C phylogenetic relationship and diversity of HIV non-structural genes is consistent with the multiplicity of HIV-1 infection determined by analysis of the <i>env</i>/<i>gag</i> genes.
<p>A maximum likelihood phylogenetic tree was reconstructed using Fastree2 (Price <i>et al</i>., 2010) using the GTR+G model for nucleotide substitution and visualized in Figtree v.1.1.3 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035491#pone.0035491-Rambaut1" target="_blank">[54]</a>. Alternative likelihood ratio tests <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035491#pone.0035491-Anisimova1" target="_blank">[55]</a> >0.95 are shown by an asterisk. Subjects infected with multiple viral variants are colored red. Patient B and D subtrees (individual trees on grey background) show branching topology of earliest sampling (0β90 days p/s) and represent examples of single (subject B) and multiple (subject D) HIV-1 transmission.</p
HIV-1C diversity, mean and 95% confidence intervals for non-structural genes <i>vif</i>, <i>vpr</i>, <i>vpu</i>, <i>tat</i> exon 1 and <i>rev</i> exon 1 over the first 500 days p/s.
<p>Viral diversity for each subject was calculated using maximum composite likelihood model <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035491#pone.0035491-Tamura2" target="_blank">[56]</a>.</p
HIV-1 subtyping by analysis of phylogenetic relationships of HIV-1 non-structural genes.
<p>The analyzed region of HIV-1 genome corresponded to nucleotide positions 5,041 to 6,310 in HXB2. Three sequences were randomly selected for each study subject (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035491#s2" target="_blank">Methods</a>). A phylogenetic tree was inferred by Mr. Bayes using GTR model. The convergence was reached after 10 M MCMC run. The consensus tree was visualized in Figtree v.1.3.1 <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035491#pone.0035491-Rambaut1" target="_blank">[54]</a>. Clade credibility values of >0.95 shown by asterisk, Subtype D cluster showed the support of 0.93 indicated by + symbol. HIV-1 subtype C reference sequences are shown as blue circles. All non-subtype C group M reference sequences are shown at the bottom of the phylogenetic tree. SIV sequence (CPZ.CM98.CAM3.AF115393) was used as an outgroup.</p
Individual distribution of pairwise distances for each of the non-stuctural genes,<i>vif</i> (HXB2 start 5041 to 5619), <i>vpr</i> (HXB2 start 5559 to 5850), <i>vpu</i> (HXB2 start 6062 to 6310), <i>tat</i> exon 1 (HXB2 start 5831 to 6045), and <i>rev</i> exon 1(HXB2 start 5970 to 6045).
<p>Individual distribution of pairwise distances for each of the non-stuctural genes,<i>vif</i> (HXB2 start 5041 to 5619), <i>vpr</i> (HXB2 start 5559 to 5850), <i>vpu</i> (HXB2 start 6062 to 6310), <i>tat</i> exon 1 (HXB2 start 5831 to 6045), and <i>rev</i> exon 1(HXB2 start 5970 to 6045).</p
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Molecular characterisation of hepatitis B virus in HIV-1 subtype C infected patients in Botswana
Background: Hepatitis B virus (HBV) is a major global health problem especially in sub-Saharan Africa and in East Asia. Ten hepatitis B virus genotypes have been described that differ by geographic distribution, disease progression, and response to treatment. Escape mutations within the surface open reading frame (ORF) affect HBV antigenicity leading to failures in diagnosis, vaccine and hepatitis B immunoglobulin therapy. However, the molecular characteristics of HBV in Botswana, a highly endemic country, are unknown. We describe the molecular characteristics of HBV and prevalence of escape mutants among HIV/HBV coinfected individuals Botswana. Methods: DNA was extracted from archived plasma samples from 81 HIV/HBV co-infected participants from various clinical studies at the Botswana Harvard AIDS Institute Partnership. A 415 base pair (bp) fragment of the polymerase gene was amplified by semi-nested PCR. In a subset of samples, a 2100 bp fragment was amplified. The PCR product was genotyped using Big Dye sequencing chemistry and the sequences were analysed for genotypes and mutations. Results: Of the 81 samples included, 70 (86 %) samples were successfully genotyped. Genotype A was found in 56 (80 %) participants, D in 13 (18.6 %), and 1 (1.4 %) was genotype E. Escape mutations previously linked with failure of diagnosis or escaping active vaccination and passive immunoglobulin therapy were detected in 12 (17.1 %) participants at positions 100, 119, 122, 123, 124, 126, 129, 130, 133, 134 and 140 of the S ORF. Genotypes and escape mutations were not significantly associated with aspartate aminotransferase (AST), alanine aminotransferase (ALT) and AST platelet ratio index (APRI). Conclusion: Genotypes A, D and E were found in this cohort of HIV coinfected patients in Botswana, consistent with the findings from the sub-Saharan Africa region. Some escape mutations which have previously been associated with diagnosis failure, escaping vaccine and immunoglobulin therapy were also observed and are important in guiding future policies related to vaccine implementation, therapeutic guidelines, and diagnostic guidelines. They are also important for identifying patients who are at an increased risk of disease progression and to choose optimal therapy. Future research should focus on determining the clinical significance of the different HBV genotypes and mutations found in this population
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Slow CD4+ T-Cell Recovery in Human Immunodeficiency Virus/Hepatitis B Virus-Coinfected Patients Initiating Truvada-Based Combination Antiretroviral Therapy in Botswana
Background. Hepatitis B virus (HBV) and human immunodeficiency virus (HIV) coinfection has emerged as an important cause of morbidity and mortality. We determined the response to Truvada-based first-line combination antiretroviral therapy (cART) in HIV/HBV-coinfected verus HIV-monoinfected patients in Botswana. Methods. Hepatitis B virus surface antigen (HBsAg), HBV e antigen (HBeAg), and HBV deoxyribonucleic acid (DNA) load were determined from baseline and follow-up visits in a longitudinal cART cohort of Truvada-based regimen. We assessed predictors of HBV serostatus and viral suppression (undetectable HBV DNA) using logistic regression techniques. Results. Of 300 participants, 28 were HBsAg positive, giving an HIV/HBV prevalence of 9.3% (95% confidence interval [CI], 6.3β13.2), and 5 of these, 17.9% (95% CI, 6.1β36.9), were HBeAg positive. There was a reduced CD4+ T-cell gain in HIV/HBV-coinfected compared with HIV-monoinfected patients. Hepatitis B virus surface antigen and HBeAg loss was 38% and 60%, respectively, at 24 months post-cART initiation. The HBV DNA suppression rates increased with time on cART from 54% to 75% in 6 and 24 months, respectively. Conclusions. Human immunodeficiency virus/HBV coinfection negatively affected immunologic recovery compared with HIV-1C monoinfection. Hepatitis B virus screening before cART initiation could help improve HBV/HIV treatment outcomes and help determine treatment options when there is a need to switch regimens
Hepatitis B virus prevalence and vaccine antibody titers in children HIV exposed but uninfected in Botswana.
BackgroundBotswana introduced the HBV vaccine at birth for all newborns in 2000. To the best of our knowledge, since the introduction of HBV vaccination, there have been limited data for vaccine response to HBV and its impact on early childhood HBV infections among children HIV exposed but uninfected in Botswana.AimsTo determine the prevalence of hepatitis B surface antigen (HBsAg) and HBV vaccine response in 18 months old children HIV exposed but uninfected in Botswana.MethodsStored plasma samples from 304 children at 18 months of age and 287 mothers from delivery were tested for HBsAg. Mothers with positive HBsAg had HBV DNA level tested, and their HBV genotypes were determined by amplifying a 415-base pair (bp) region of the surface gene. Plasma samples from children exposed to HIV were tested for hepatitis B surface antibody (anti-HBs) titers.ResultsNo children (0 of 304) were positive for HBsAg at 18 months while 5 (1.74%) of 287 HIV-positive mothers were HBsAg positive. Four of the HBsAg positive mothers were infected with genotype A1, while 1 was infected with genotype E. The median anti-HBs titer in children was 174 mIU/mL [QR: 70, 457]. Three (1.1%) of 269 children had an inadequate vaccine response (ConclusionNo HBsAg positivity was identified in a cohort of children HIV exposed but uninfected. The absence of HBsAg positives was associated with good HBV vaccine responses and low maternal HBsAg prevalence in Botswana