Relationship between the frequency of HIV-specific CD8 <sup>+</sup> T cells and the level of CD38 <sup>+</sup> CD8 <sup>+</sup> T cells in untreated HIV-infected individuals
Bibliographic record
Abstract
CD8+ T cells are critical for effective host defenses against viral infections. Studies addressing HIV-induced immune responses in infected individuals have suggested that CD8+ T cells play an important role in controlling viral replication. However, despite an abundance of HIV-specific CD8+ T cells, HIV is not contained in many untreated patients. Active HIV replication is associated with numerous immunologic changes, the most notable and consistent of which is an increase in CD8+ T cells expressing CD38. Previous studies have demonstrated that the expression of CD38 on CD8+ T cells is associated with poor prognostic outcome in infected individuals with detectable plasma viremia; however, the relationship between the expression of CD38 and the frequency of HIV-specific CD8+ T cells is unclear. We demonstrate a correlation between levels of HIV-specific CD8+ T cells and levels of CD8+ T cells expressing CD38 in untreated patients. The distribution of HIV-specific CD8+ T cells was heavily skewed toward CD38+CD8+ T cells in patients with a high percentage of CD38+CD8+ T cells. Spontaneous/Fas-mediated apoptosis in CD38+CD8+ T cells was significantly higher in patients with high percentages of CD38+CD8+ T cells. Our data suggest that a substantial proportion of the HIV-specific CD8+ T cells present in CD38+CD8+ T cells in patients with active viral replication arise by HIV-driven aberrant immune activation and may not manifest effective cytolytic activity against infected targets due to a high degree of susceptibility to apoptosis, thus providing an explanation of why HIV is not successfully contained by CD8+ T cells in such individuals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".