Evidence map›Paper›PMID 27273158›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2016

Viral Decay Dynamics and Mathematical Modeling of Treatment Response: Evidence of Lower in vivo Fitness of HIV-1 Subtype C.

Anita Shet, Pradeep Nagaraja, Narendra M Dixit

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  8. Article
  9. In-host modeling.Infectious Disease Modelling · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anita Shet*Department of Pediatrics, Division of Infectious Diseases, St. John's Medical College Hospital, Bangalore, India; †Department of Chemical Engineering, Indian Institute of Science, Bangalore, India; and ‡Centre for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Pradeep Nagaraja
Narendra M Dixit

Funding

DBT-Wellcome Trust India Alliance IA/S/13/2/501017Wellcome Trust
6 · The paper itself

Abstract

backgroundDespite the high prevalence of HIV-1 subtype C (HIV-1C) worldwide, information on HIV-1C viral dynamics and response to antiretroviral therapy (ART) is limited. We sought to measure viral load decay dynamics during treatment and estimate the within-host basic reproductive ratio, R0, and the critical efficacy, εc, for successful treatment of HIV-1C infection.

methodsIndividuals initiated on first-line ART in India and monitored for 6 months of treatment were considered. Viral load, CD4 count, and adherence data were collected at baseline, 4, 12, 16 and 24 weeks after ART initiation. Drug resistance genotyping was performed at baseline. R0 and εc were estimated using a mathematical model.

resultsAmong 257 patients with complete data, mean baseline viral load was 5.7 log10 copies per milliliter and median CD4 count was 165 cells per cubic millimeter. Primary drug resistance was present in 3.1% at baseline. At 6 months, 87.5% had undetectable viral load, indicating excellent response to ART despite high baseline viremia. After excluding those with transmitted resistance, suboptimal adherence and viral rebound, data from 112 patients were analyzed using a mathematical model. We estimated the median R0 to be 5.3. The corresponding εc was ∼0.8.

conclusionsThese estimates of R0 and εc are smaller than current estimates for HIV-1B, suggesting that HIV-1C exhibits lower in vivo fitness compared with HIV-1B, which allows successful treatment despite high baseline viral loads. The lower fitness, and potentially lower virulence, together with high viral loads may underlie the heightened transmission potential of HIV-1C and its growing global spread.

Indexed as

Models, BiologicalAdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCD4-Positive T-LymphocytesDrug Resistance, ViralFemaleGenetic FitnessGenotypeHIV-1HIV InfectionsHumansIndiaMaleViral LoadAnti-HIV Agents

Identifiers

PMID27273158
PMCPMC5172519

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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.