Reconciling founder variant multiplicity of HIV-1 infection with the rate of CD4 <sup>+</sup> decline

HIV-1 transmission precipitates a stringent genetic bottleneck, with 75% of new infections initiated by a single genetic variant. Where multiple variants initiate infection, recipient set point viral load (SpVL) and the rate of CD4<sup>+</sup> T cell decline may be elevated, but these findings remain inconsistent. Here, we summarised the evidence for this phenomenon, then tested whether previous studies possessed sufficient statistical power to reliably identify a true effect of multiple variant infection leading to higher SpVL. Next, we combined models of HIV-1 transmission, heritability and disease progression to understand whether available data suggest a faster CD4<sup>+</sup> T cell decline would be expected to associated with multiple variant infection, without an explicit dependency between the two. First, we found that most studies had insufficient power to identify a true significant difference, prompting an explanation for previous inconsistencies. Next, our model framework revealed we would not expect to observe a positive association between multiple variant infections and faster CD4<sup>+</sup> T cell decline, in the absence of an explicit dependency. Consequently, while empirical evidence may be consistent with a positive association between multiple variant infection and faster CD4<sup>+</sup> T cell decline, further investigation is required to establish a causal basis.

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Publication Details

Journal
Journal of The Royal Society Interface
Published
2024-10-01
DOI
https://doi.org/10.1098/rsif.2024.0255
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconciling founder variant multiplicity of HIV-1 infection with the rate of CD4 + decline

Robin N. Thompson, Roland R. Regoes, Stéphane Hué, Katherine E. Atkins et al.
Journal of The Royal Society Interface
HIV Research and Treatment
article

Reconciling founder variant multiplicity of HIV-1 infection with the rate of CD4 + decline

Robin N. Thompson, Roland R. Regoes, Stéphane Hué, Katherine E. Atkins, Huldrych F. Günthard, Jan Albert, Roger D. Kouyos, Christian Julián Villabona‐Arenas, James Baxter, Andrew Brown
article en

Abstract

HIV-1 transmission precipitates a stringent genetic bottleneck, with 75% of new infections initiated by a single genetic variant. Where multiple variants initiate infection, recipient set point viral load (SpVL) and the rate of CD4<sup>+</sup> T cell decline may be elevated, but these findings remain inconsistent. Here, we summarised the evidence for this phenomenon, then tested whether previous studies possessed sufficient statistical power to reliably identify a true effect of multiple variant infection leading to higher SpVL. Next, we combined models of HIV-1 transmission, heritability and disease progression to understand whether available data suggest a faster CD4<sup>+</sup> T cell decline would be expected to associated with multiple variant infection, without an explicit dependency between the two. First, we found that most studies had insufficient power to identify a true significant difference, prompting an explanation for previous inconsistencies. Next, our model framework revealed we would not expect to observe a positive association between multiple variant infections and faster CD4<sup>+</sup> T cell decline, in the absence of an explicit dependency. Consequently, while empirical evidence may be consistent with a positive association between multiple variant infection and faster CD4<sup>+</sup> T cell decline, further investigation is required to establish a causal basis.

Journal of The Royal Society InterfaceVol. 21(219)
Karolinska University Hospital (SE), University of Zurich (CH), Karolinska Institutet (SE), ETH Zurich (CH), University of Oxford (GB), London School of Hygiene & Tropical Medicine (GB), University Hospital of Zurich (CH), University of Edinburgh (GB)
Medical Research Council, European Research Council
Good health and well-being
Openalex Percentile: Top 81%
HIV Research and Treatment
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