Relative Contribution of HIV-Specific Functional Lymphocyte Subsets Restricted by Protective and Non-Protective HLA Alleles
Bibliographic record
Abstract
Expression of major histocompatibility complex (MHC) class I alleles such as B*57 and B*27 are associated with slow HIV disease progression. HIV-specific immune responses in slow progressors (SP) are characterized by a poly-functional profile. We previously observed within infected subjects that HIV peptide-specific responses could differ from each other in their functional composition. We investigate here whether responses restricted by MHC class I alleles associated with slow disease progression have a more poly-functional profile than responses restricted by other alleles. We stimulated peripheral blood mononuclear cells (PBMCs) isolated from 36 chronically HIV-infected individuals with a panel of optimal peptides restricted by the HLA alleles expressed by each subject, and assessed the contribution of single IL-2-, single IFN-γ-, and IFN-γ/IL-2-secreting lymphocytes to the total response measured using a dual color ELISPOT assay. The contribution of functional subsets to responses restricted by HLA B*57/B*27 was similar in SP and progressors. For responses restricted by other MHC class I alleles, dual IFN-γ/IL-2-secreting lymphocytes contributed significantly more to the total response in SP than progressors. Within SP subjects, peptides restricted by both B*57/B*27 and other alleles stimulated responses with similar functional profiles. In progressors, peptides restricted by B*57/B*27 stimulated responses composed of a significantly greater proportion of IFN-γ/IL-2-secreting cells than peptides restricted by other alleles. Within progressors, the contribution of IFN-γ/IL-2-secreting lymphocytes was greater to epitopes restricted by protective HLA alleles compared with responses restricted by other alleles. HLA haplotypes influence the relative functional composition of HIV-specific responses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".