HIV-1 Nef Disrupts Maturation of CD4+ T Cells through CD4/Lck Modulation
Bibliographic record
Abstract
The HIV-1 Nef protein is a major determinant of HIV-1 pathogenicity. It has been found to induce thymocyte depletion, but the mechanisms involved are not completely understood. Also, nothing is known about its effects on thymocyte selection. We used the CD4C/HIV(Nef) transgenic (Tg) mice, which develop a profound CD4(+) T cell lymphopenia, to study their thymic development. We report that HIV-1 Nef causes depletion of double-positive thymocytes and impairs selection and lineage commitment of CD4(+) single-positive thymocytes. This latter defect could be relieved by increasing the affinity of the TCR-MHC interaction or by allowing CD4(+) T cell maturation to proceed in absence of the CD4 tail, in double-Tg (Nef × CD4(tailless)) mice or in the presence of constitutively active Tg Lck(Y505F). These rescue strategies also resulted in reversal of peripheral CD4(+) T cell lymphopenia. Our data indicate that impairment of Lck-mediated CD4 coreceptor signaling by Nef is an important in vivo mechanism of HIV-1 pathogenesis.
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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".