HIV Type 1 <i>nef</i> Gene Inhibits Tumor Necrosis Factor α-Induced Apoptosis and Promotes Cell Proliferation through the Action of MAPK and JNK in Human Glial Cells
Bibliographic record
Abstract
In neurodegenerative diseases associated with AIDS, reactive astrocytosis plays a central role in the neurotoxicity of the brain parenchyma. Whereas the HIV-1 nef gene is overexpressed during restricted HIV-1 infection of human astrocytes, our previous results have demonstrated that nef expressed in human U251MG glial cells activates the sphingomyelin pathway triggered by TNF-alpha, increasing ceramide production. Since ceramide is an important regulatory molecule of programmed cell death induced by TNF-alpha, we examined whether nef could alter TNF-alpha-induced apoptosis in the U251MG human astrocytoma cell line. Transfection studies indicated that nef could both prevent apoptosis and promote cell proliferation in response to TNF-alpha stimulation. MAPK and JNK activities were further analyzed in order to elucidate signaling cascades subsequent to the upregulation of ceramide production. After TNF-alpha treatment, both kinases were shown to be preferentially activated in the presence of nef. These experiments strongly suggest that the HIV-1 Nef protein might modulate the sensitivity of astrocytes to inflammatory molecules, thus contributing to the development of neurodegenerative diseases associated with AIDS.
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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".