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Record W1979789129 · doi:10.1089/088922200750054684

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

2000· article· en· W1979789129 on OpenAlexaff
Gilles A. Robichaud, Louise Poulin

Bibliographic record

VenueAIDS Research and Human Retroviruses · 2000
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsCeramideCell biologyApoptosisBiologyTumor necrosis factor alphaProgrammed cell deathMAPK/ERK pathwayAstrocytosisKinaseTRAF2TransfectionMicrogliaSignal transductionCell cultureImmunologyInflammationBiochemistryGenetics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.073
GPT teacher head0.341
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2000
Admission routes1
Has abstractyes

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