Transition From Long-Term Nonprogression to HIV-1 Disease Associated With Escape From Cellular Immune Control
Bibliographic record
Abstract
Transition from long-term nonprogressive infection to progressive HIV-1 disease presents an opportunity to investigate pathogenesis in a defined immunogenetic background. We studied a male long-term nonprogressor (LTNP) who remained asymptomatic and viremic and had normal CD4 T-cell counts without antiretroviral therapy for >18 years and then experienced a transition to disease progression. We analyzed the complete HIV-1 genomic RNA sequence from plasma and cellular immune responses to predefined human leukocyte antigen-matched autologous viral peptides spanning the viral genome, before and after progression. Serial viral sequences did not seem attenuated and consistently utilized coreceptor CCR5. LTNP status was associated with elongated V2 domains and broad low-level T-cell immune responses targeting several regions of the viral genome. The transition to progressive disease was associated with the acquisition of viral mutations conferring escape from CD8 T-cell responses. Multiple changes in HIV-1 sequence and loss of immune response over time most likely contributed to the transition from LTNP status to progressive disease. These data are relevant to vaccine design and identification of the correlates of protection from disease progression.
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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".