Virus load correlates inversely with the expression of cytotoxic T lymphocyte activation markers in HIV-1-infected/AIDS patients showing MHC-unrestricted CTL-mediated lysis
Bibliographic record
Abstract
Cytotoxic T lymphocytes (CTL) are key players to suppress viral load (VL) but CTL responses become compromised with progression of HIV-infection/AIDS. Some progressors develop MHC-unrestricted CTL with anti-CD4+ cytocidal activity. Immune activation status of these CTL and its significance in disease progression are unknown. To determine the relationship between VL and T cell activation, a cross-sectional study was carried out using blood samples from 13 HIV-1-infected/AIDS patients at various stages of progression and seven age-matched seronegative controls. We examined expression of HLA-DR and CD38 activation markers on purified CTL. MHC-unrestricted killing by these CTL was also evaluated against uninfected, allogeneic CD4+ T cells as well as several human cell lines. The expression of activation markers correlated inversely (rs = - 0.91, P < 0.0001) with VL of the subjects. CTL effectors of these patients killed targets expressing or lacking CD4+, independently of MHC class I recognition. Interestingly, the patients with higher VL showed an increased number of gammadeltaTCR-bearing CTL in blood and their MHC-unrestricted killing activity was blocked significantly (P < 0.01) by gammadeltaTCR-specific monoclonal antibody. CD3+ T counts of these patients were also consistently subnormal. Inverse correlation between VL and CD8+ T cell activation markers seems to be an indicator of CTL-associated immunopathogenesis in HIV patients with elevated gammadeltaCTL in the peripheral blood.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".