We demonstrated previously that CD45RA+ CD4+ T cells are infected primarily by syncytium-inducing (SI) HIV-1 variants, whereas CD45RO+ CD4+ T cells harbor both non-SI (NSI) and SI HIV-1 variants. Here, we studied evolution of tropism for CD45RA+ and CD45RO+ CD4+ cells, coreceptor usage, and molecular phylogeny of coexisting NSI and SI HIV-1 clones that were isolated from four patients in the period spanning SI conversion. NSI variants were CCR5-restricted and could be isolated throughout infection from CD45RO+ CD4+ cells. SI variants seemed to evolve in CD45RO+ CD4+ cells, but, in time, SI HIV-1 infection of CD45RA+ CD4+ cells equaled infection of CD45RO+ CD4+ cells. In parallel with this shift, SI HIV-1 variants first used both coreceptors CCR5 and CXCR4, but eventually lost the ability to use CCR5. Phylogenetically, NSI and SI HIV-1 populations diverged over time. We observed a differential expression of HIV-1 coreceptors within CD45RA+ and CD45RO+ cells, which allowed us to isolate virus from purified CCR5+ CXCR4– and CCR5– CXCR4+ CD4+ cells. The CCR5+ subset was exclusively infected by CCR5-dependent HIV-1 clones, whereas SI clones were preferentially isolated from the CXCR4+ subset. The differential expression of HIV-1 coreceptors provides distinct cellular niches for NSI and SI HIV-1, contributing to their coexistence and independent evolutionary pathways.
Ronald P. van Rij, Hetty Blaak, Janny A. Visser, Margreet Brouwer, Ronald Rientsma, Silvia Broersen, Ana-Maria de Roda Husman, Hanneke Schuitemaker
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 261 | 23 |
193 | 27 | |
Figure | 288 | 73 |
Table | 29 | 0 |
Citation downloads | 47 | 0 |
Totals | 818 | 123 |
Total Views | 941 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.