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 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 | 0.000 | 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".