ArticlePloS one2011
Association of HIV diversity and survival in HIV-infected Ugandan infants.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 18 citations in OpenAlex.
- Association of HIV diversity and virologic outcomes in early antiretroviral treatment: HPTN 052.PloS one · 2017Trial
- Correlation between pill counts and biologic effects in an HIV-1 prevention clinical trial: implications for measuring adherence.AIDS and behavior · 2013Trial
- Association of pol diversity with antiretroviral treatment outcomes among HIV-infected African children.PloS one · 2013Trial
- SPMM: estimating infection duration of multivariant HIV-1 infections.Bioinformatics (Oxford, England) · 2016Article
- Analysis of HIV Diversity in HIV-Infected Black Men Who Have Sex with Men (HPTN 061).PloS one · 2016Article
- A comparison of two measures of HIV diversity in multi-assay algorithms for HIV incidence estimation.PloS one · 2014Article
- HIV diversity as a biomarker for HIV incidence estimation: including a high-resolution melting diversity assay in a multiassay algorithm.Journal of clinical microbiology · 2014Article
- Impact of mutation type and amplicon characteristics on genetic diversity measures generated using a high-resolution melting diversity assay.The Journal of molecular diagnostics : JMD · 2013Article
- Article
- Use of a high resolution melting assay to analyze HIV diversity in HIV-infected Ugandan children.The Pediatric infectious disease journal · 2012Article
- Comparison of a high-resolution melting assay to next-generation sequencing for analysis of HIV diversity.Journal of clinical microbiology · 2012Article
- Workshop summary: Novel biomarkers for HIV incidence assay development.AIDS research and human retroviruses · 2012Article
- Article
- Current practices in laboratory monitoring of HIV infection.The Indian journal of medical research · 2011Review
- Use of a high resolution melting (HRM) assay to compare gag, pol, and env diversity in adults with different stages of HIV infection.PloS one · 2011Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThe level of viral diversity in an HIV-infected individual can change during the course of HIV infection, reflecting mutagenesis during viral replication and selection of viral variants by immune and other selective pressures. Differences in the level of viral diversity in HIV-infected infants may reflect differences in viral dynamics, immune responses, or other factors that may also influence HIV disease progression. We used a novel high resolution melting (HRM) assay to measure HIV diversity in Ugandan infants and examined the relationship between diversity and survival through 5 years of age.
methodsPlasma samples were obtained from 31 HIV-infected infants (HIVNET 012 trial). The HRM assay was used to measure diversity in two regions in the gag gene (Gag1 and Gag2) and one region in the pol gene (Pol).
resultsHRM scores in all three regions increased with age from 6-8 weeks to 12-18 months (for Gag1: P = 0.005; for Gag2: P = 0.006; for Pol: P = 0.016). Higher HRM scores at 6-8 weeks of age (scores above the 75(th) percentile) were associated with an increased risk of death by 5 years of age (for Pol: P = 0.005; for Gag1/Gag2 (mean of two scores): P = 0.003; for Gag1/Gag2/Pol (mean of three scores): P = 0.002). We did not find an association between HRM scores and other clinical and laboratory variables.
conclusionsGenetic diversity in HIV gag and pol measured using the HRM assay was typically low near birth and increased over time. Higher HIV diversity in these regions at 6-8 weeks of age was associated with a significantly increased risk of death by 5 years of age.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.