Hyper-responsiveness to Stimulation of Human Immunodeficiency Virus-infected CD4+ T Cells Requires Nef and Tat Virus Gene Products and Results from Higher NFAT, NF-κB, and AP-1 Induction
Bibliographic record
Abstract
A chronic state of immune hyperactivation is a feature of human immunodeficiency virus type-1 (HIV-1) infection. Studies on the molecular mechanisms by which HIV-1 can modulate the activation state of T cells indicate that both Nef and Tat can alter T cell activation. However, the vast majority of data has been obtained from experiments performed with vectors encoding a single virus protein. We demonstrate that infection of human CD4(+) T lymphocytes with fully infectious HIV-1 leads to a hyper-responsiveness of the interleukin-2 promoter. Hypersensitivity in HIV-1-infected T cells was observed upon stimulation with various agents that are engaging different signal transduction pathways. Experiments performed with recombinant heat stable antigen-encoding HIV-1 indicated that the virus-infected cells are the cells with an enhanced response. Both Nef and Tat are involved in this virus-mediated enhancing effect on interleukin-2 promoter activity. Interestingly, whereas Nef seems to be acting mainly through hyperactivation of nuclear factor of activated T cells (NFAT), Tat acts in an NFAT-independent manner. Mobility shift experiments demonstrated that the HIV-1-associated priming of human T cells for stimulation results in a greater induction of transcription factors recognized as essential players in T cell activation, i.e. NFAT, NF-kappaB, and AP-1. A hyper-responsive state was also established upon HIV-1 infection of a more natural cellular reservoir, i.e. primary CD4(+) T lymphocytes. Considering that the HIV-1 life cycle is tightly regulated by the T cell signaling machinery, the priming for activation of a major viral reservoir represents a means by which this retrovirus can create an ideal cellular microenvironment for its propagation and maintenance.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".