Production of CD8 <sup>+</sup> T Cell Nonlytic Suppressive Factors by CD28, CD38, and HLA-DR Subpopulations
Bibliographic record
Abstract
HIV infection may be modified by CD8(+) T cells by the production of nonlytic antiviral factors. To determine subpopulations that mediate nonlytic, antiviral activity, we examined the production of beta chemokines and of CD8 antiviral factor (CAF) by different subsets, using CD8(+) cells derived from 24 HIV-1-infected and 25 uninfected individuals. Subjects with CD8(+) cell counts greater than 200/microl produced increased levels of MIP-1alpha by CD8(+)CD28(+), CD8(+)CD38(-), and CD8(+)HLA-DR(+) subsets as compared with uninfected controls. CD8(+)CD38(-) cells produced higher levels of MIP-1beta and RANTES. CAF production was increased by CD8(+)CD38(+) and CD8(+)HLA-DR(+) cells of HIV-infected individuals as compared with uninfected controls. Chemokine production was increased by cells that do not express activation markers, whereas CAF activity was increased by cells expressing CD38 or HLA-DR. These findings shed light on CD8(+) T cell noncytotoxic antiviral factor production during HIV infection.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".