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Oligodendrocyte injury in multiple sclerosis: a role for p53

2003· article· en· W1515862761 on OpenAlexafffund
Karolina Wosik, Jack P. Antel, Tanja Kuhlmann, Wolfgang Brück, Bernard Massie, Joséphine Nalbantoglu

Bibliographic record

VenueJournal of Neurochemistry · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsBiotechnology Research InstituteMcGill UniversityMontreal Neurological Institute and Hospital
FundersNational Cancer InstituteCanadian Institutes of Health ResearchMultiple Sclerosis Society
KeywordsOligodendrocyteApoptosisMultiple sclerosisMyelinProgrammed cell deathBiologyFas ligandTumor necrosis factor alphaReceptorCell biologyImmunologyCancer researchCentral nervous systemNeuroscienceBiochemistry

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is a neurological disorder characterized by myelin destruction and a variable degree of oligodendrocyte death. We have previously shown that overexpression of the transcription factor p53 can induce oligodendrocyte apoptosis. We investigated the mechanism of p53-induced apoptosis using primary cultures of central nervous system-derived adult human oligodendrocytes. Adenovirus-mediated p53 overexpression resulted in up-regulation of the death receptors Fas, DR4 and DR5 with subsequent caspase-mediated apoptosis of the oligodendrocytes. The oligodendrocytes were protected from p53-induced cell death by blocking signaling through Fas and/or tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) receptors. Although lower levels of p53 did not induce apoptosis, the increase in death receptor expression was sufficient to render the oligodendrocytes susceptible to apoptosis in the presence of exogenous Fas ligand and TRAIL. These ligands are present in the inflammatory milieu of active MS lesions. In situ analysis of active MS lesions revealed increased p53 expression in oligodendrocytes in lesions that featured oligodendrocyte apoptosis and cell loss. Our data provide evidence for a novel role for p53 in the pathogenesis of MS.

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 score0.016
Threshold uncertainty score0.494

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 studies0.0000.000
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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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

Citations102
Published2003
Admission routes2
Has abstractyes

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