Logo image
Relationship between CD4 T cell turnover, cellular differentiation and HIV persistence during ART
Journal article   Open access   Peer reviewed

Relationship between CD4 T cell turnover, cellular differentiation and HIV persistence during ART

C. Bacchus-Souffan, M. Fitch, J. Symons, M. Abdel-Mohsen, D.B. Reeves, R. Hoh, M. Stone, J. Hiatt, P. Kim, A. Chopra, …
PLoS Pathogens, Vol.17(1), e1009214
2021
pdf
CD4T.pdfDownloadView
Published (Version of Record) Open Access
url
Free to Read *No subscription requiredView

Abstract

The precise role of CD4 T cell turnover in maintaining HIV persistence during antiretroviral therapy (ART) has not yet been well characterized. In resting CD4 T cell subpopulations from 24 HIV-infected ART-suppressed and 6 HIV-uninfected individuals, we directly measured cellular turnover by heavy water labeling, HIV reservoir size by integrated HIV-DNA (intDNA) and cell-associated HIV-RNA (caRNA), and HIV reservoir clonality by proviral integration site sequencing. Compared to HIV-negatives, ART-suppressed individuals had similar fractional replacement rates in all subpopulations, but lower absolute proliferation rates of all subpopulations other than effector memory (TEM) cells, and lower plasma IL-7 levels (p = 0.0004). Median CD4 T cell half-lives decreased with cell differentiation from naïve to TEM cells (3 years to 3 months, p<0.001). TEM had the fastest replacement rates, were most highly enriched for intDNA and caRNA, and contained the most clonal proviral expansion. Clonal proviruses detected in less mature subpopulations were more expanded in TEM, suggesting that they were maintained through cell differentiation. Earlier ART initiation was associated with lower levels of intDNA, caRNA and fractional replacement rates. In conclusion, circulating integrated HIV proviruses appear to be maintained both by slow turnover of immature CD4 subpopulations, and by clonal expansion as well as cell differentiation into effector cells with faster replacement rates.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

122 File views/ downloads
80 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.66 HIV
1.66.46 HIV Pathogenesis
Web Of Science research areas
Microbiology
Parasitology
Virology
ESI research areas
Microbiology
Logo image