Endothelial cells promote productive HIV infection of resting CD4+ T cells by an integrin-mediated cell adhesion-dependent mechanism
Bibliographic record
Abstract
Abstract Resting CD4+ T cells do not support HIV replication in vitro , yet are primary targets of early HIV infection events in vivo . There is an established role for factors in the tissue microenvironment, including endothelial cells, in enhancing the susceptibility of resting CD4+ T cells to productive infection, yet the mechanisms behind this are not well understood. Endothelial cells facilitate immune cell trafficking throughout the body. Cell adhesion molecules expressed by endothelial cells engage integrins on activated and memory T cells and mediate transmigration into inflamed tissues. These cell trafficking pathways have overlapping roles in facilitating HIV replication but their relevance to endothelial cell-mediated enhancement of HIV susceptibility in resting CD4+ T cells has not previously been examined. We used flow cytometry to characterize the phenotype resting CD4+ T cells that became productively infected when exposed to HIV in the presence of endothelial cells. Infected CD4+ T cells were primarily central memory cells enriched for high expression of the integrins LFA-1 and VLA-4 and had variable expression of α4β7, CCR6 and CD69. Blocking LFA-1 and VLA-4 on resting CD4+ T cells abrogated infection in the co-culture model, indicating that engagement of these integrins is essential for enhancement of resting CD4+ T cell HIV susceptibility by endothelial cells. Cellular activation of CD4+ T cells did not appear to be the primary mechanism enabling HIV replication since only a small proportion of resting CD4+ T cells became activated over the course of the co-culture and fewer than half of infected cells had an activated phenotype. The demonstration that endothelial cells enhance the cellular HIV susceptibility of resting memory CD4+ T cells through cell trafficking pathways engaged during the transmigration of memory T cells into inflamed tissues highlights the physiological relevance of these findings for HIV acquisition and opportunities for intervention. Author Summary HIV acquisition risk per coital act is relatively low, but this risk is amplified by various behavioural and biological variables. Genital inflammation is a key biological variable associated with increased risk of HIV acquisition, but the mechanisms driving this are incompletely understood. Inflammation is a complex process, with direct effects on HIV target cells as well as the tissue in which those cells reside and encounter virus. The first HIV target cells in vivo are resting memory CD4+ T cells, yet these cells are do not support viral replication when purified and exposed to HIV in vitro . Rather, signals from tissue microenvironment are required to support viral replication within resting memory CD4+ T cells. Endothelial cells line tissue vasculature and guide immune cell trafficking to inflamed tissues through engagement of integrins by endothelial-expressed cell adhesion molecules. We show here that these same cell-trafficking pathways enable endothelial cells to promote HIV replication within resting memory CD4+ T cells in vitro . Blockade of integrins on resting memory CD4+ T cells prevented endothelial enhancement of HIV infection. These findings further our understanding of the determinants of cellular susceptibility to HIV infection and offer a potential mechanism by which inflammation promotes HIV acquisition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".