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

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Despite 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. METHODS: Individuals initiated on first-line ART in India and monitored for six months of treatment were considered. Viral load, CD4 count, and adherence data were collected at baseline, 4, 12, 16 and 24 weeks following ART initiation. Drug resistance genotyping was performed at baseline. R0 and εc were estimated using a mathematical model. RESULTS: Among 257 patients with complete data, mean baseline viral load was 5.7 log10 copies/mL and median CD4 count 165 cells/mm. 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 analysed using a mathematical model. We estimated the median R0 to be 5.3. The corresponding εc was ∼0.8. CONCLUSIONS: These estimates of R0 and εc are smaller than current estimates for HIV-1B, suggesting that HIV-1C exhibits lower in vivo fitness compared to 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.

Original languageEnglish (US)
JournalJournal of Acquired Immune Deficiency Syndromes
DOIs
StateAccepted/In press - Jun 1 2016
Externally publishedYes

ASJC Scopus subject areas

  • Infectious Diseases
  • Pharmacology (medical)

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