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Record W2290912611 · doi:10.1093/jnen/59.4.280

Interferon-γ Modulates Human Oligodendrocyte Susceptibility To Fas-Mediated Apoptosis

2000· article· en· W2290912611 on OpenAlexaff
Sandrine Pouly, Burkhard Becher, Manon Blain, Jack P. Antel

Bibliographic record

VenueJournal of Neuropathology & Experimental Neurology · 2000
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsApoptosisFas receptorInterferon gammaOligodendrocyteMultiple sclerosisCytotoxic T cellCytokineImmunologyTumor necrosis factor alphaMyelin basic proteinMicrogliaBiologyProgrammed cell deathCancer researchMolecular biologyMyelinEndocrinologyInflammationCentral nervous systemIn vitro

Abstract

fetched live from OpenAlex

Interferon gamma (IFN-gamma) has been shown to be produced within multiple sclerosis (MS) lesions by infiltrating lymphocytes; systemic administration of this cytokine induces exacerbation of the disease. The aim of the current study was to establish the contribution of IFN-gamma to oligodendrocyte (OL) injury. Our studies utilized cultured human OLs, obtained by dissociation of surgically derived non-MS adult brain tissue. Neither cell survival nor myelin basic protein (MBP) gene expression were affected after 96 hours of treatment with IFN-gamma (100 U/ml), as assessed by LDH release, nucleosome enrichment assay, and RT-PCR. Expression of the death receptor Fas (CD95, APO-1) was, however, significantly increased. Furthermore, IFN-gamma-treated OLs became susceptible to Fas-mediated apoptosis when compared with untreated cells, and were protected by pretreatment with the caspase inhibitor ZVAD. TNF-alpha augmented the IFN-gamma-induced effect. Our results thus indicate that IFN-gamma is not directly cytotoxic for human OLs in culture, but could indirectly modulate functional injury-related responses by upregulating Fas on the cell surface.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.442
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.337
Teacher spread0.303 · 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.

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

Citations111
Published2000
Admission routes1
Has abstractyes

Explore more

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