Transient T Cell Receptor β‐Chain Variable Region–Specific Expansions of CD4<sup>+</sup>and CD8<sup>+</sup>T Cells during the Early Phase of Pediatric Human Immunodeficiency Virus Infection: Characterization of Expanded Cell Populations by T Cell Receptor Phenotyping
Bibliographic record
Abstract
T cell receptor (TCR) repertoire perturbations are commonly detected in CD8+ T cells during adult primary human immunodeficiency virus (HIV) infection and have been associated with HIV-specific cytotoxic T cell responses. By use of flow cytometry, transient high-level TCR beta-chain variable region-specific expansions of CD4+ and CD8+ T cells were observed more frequently in HIV-infected children than in children exposed to HIV who remained uninfected. TCR beta-chain diversity analysis and diversity-specific polymerase chain reaction were used to study the clonality of expanded CD4+ and CD8+ subsets. In CD8+ T cells, structural features of the complement-determining regions 3 were altered during the course of the expansion, and persistent TCR clonotypes were observed, consistent with antigen-driven selection. In contrast, TCR beta-chain variable region-specific expansions without clonotypic overrepresentation or persistence were observed in CD4+ T cells, possibly related to HIV-specific helper T cell responses or to the progressive destruction of the CD4+ cell compartment.
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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) | 0.001 | 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".