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Constant mean viral copy number per infected cell in tissues regardless of high, low, or undetectable plasma HIV RNA.


ABSTRACT: Quantitative analysis of the relationship between virus expression and disease outcome has been critical for understanding HIV-1 pathogenesis. Yet the amount of viral RNA contained within an HIV-expressing cell and the relationship between the number of virus-producing cells and plasma virus load has not been established or reflected in models of viral dynamics. We report here a novel strategy for the coordinated analysis of virus expression in lymph node specimens. The results obtained for patients with a broad range of plasma viral loads before and after antiretroviral therapy reveal a constant mean viral (v)RNA copy number (3.6 log10 copies) per infected cell, regardless of plasma virus load or treatment status. In addition, there was a significant but nonlinear direct correlation between the frequency of vRNA+ lymph node cells and plasma vRNA. As predicted from this relationship, residual cells expressing this same mean copy number are detectable (frequency <2/10(6) cells) in tissues of treated patients who have plasma vRNA levels below the current detectable threshold (<50 copies/ml). These data suggest that fully replication-active cells are responsible for sustaining viremia after initiation of potent antiretroviral therapy and that plasma virus titers correlate, albeit in a nonlinear fashion, with the number of virus-expressing cells in lymphoid tissue.

SUBMITTER: Hockett RD 

PROVIDER: S-EPMC2193638 | biostudies-literature | 1999 May

REPOSITORIES: biostudies-literature

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Constant mean viral copy number per infected cell in tissues regardless of high, low, or undetectable plasma HIV RNA.

Hockett R D RD   Kilby J M JM   Derdeyn C A CA   Saag M S MS   Sillers M M   Squires K K   Chiz S S   Nowak M A MA   Shaw G M GM   Bucy R P RP  

The Journal of experimental medicine 19990501 10


Quantitative analysis of the relationship between virus expression and disease outcome has been critical for understanding HIV-1 pathogenesis. Yet the amount of viral RNA contained within an HIV-expressing cell and the relationship between the number of virus-producing cells and plasma virus load has not been established or reflected in models of viral dynamics. We report here a novel strategy for the coordinated analysis of virus expression in lymph node specimens. The results obtained for pati  ...[more]

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