Infusion of CCR5 Gene-Edited T Cells Allows Immune Reconstitution, HIV Reservoir Decay, and Long-Term Virological Control
Bibliographic record
Abstract
Abstract Antiretroviral therapy (ART) fails to fully restore immune function and is not curative. A single infusion of CCR5 gene-edited autologous CD4 + T cells (SB-728-T) led to sustained increases in CD4 + T cell counts, improved T cell homeostasis, and reduced the estimated size of the HIV reservoir. These outcomes were associated with the expansion and long-term persistence of a novel CCR5 gene-edited CD4 + T memory stem cell (CD45RA int RO int T SCM ) subset that can replenish the pool of more differentiated memory cells. We showed that novel CD45RA int RO int T SCM cells are transcriptionally distinct from the previously described CD45RA + T SCM and are minimally differentiated cells uncommitted to a specific Th-lineage. Subsequently, we showed in an independent trial that infusion of the SB-728-T cell product resulted in partial control of viral replication upon cessation of ART which was correlated with the frequencies of CCR5 gene-edited T SCM and their T EM progeny. Interestingly, one participant that remained off ART to this date demonstrated long-term maintenance of CCR5 gene-edited cells and increased frequency of polyfunctional HIV-specific CD4 + and CD8 + T cells, contributing to low levels of viral load 5 years post-infusion. Consequently, the generation of HIV protected memory CD4 + T cells by CCR5 disruption can contribute toward novel interventions aimed at achieving a sustained ART-free viral remission of HIV disease.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".