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Record W1978652849 · doi:10.1017/s1740925x05000207

Effects of glutathione depletion on the viability of human NT2-derived neuronal and astroglial cultures

2004· article· en· W1978652849 on OpenAlexaff
ANGÈLE S. BYRD, Marianna Sikorska, P. Roy Walker, Jagdeep K. Sandhu

Bibliographic record

VenueNeuron Glia Biology · 2004
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsNational Research Council CanadaInstitute for Biological Sciences
Fundersnot available
KeywordsBiologyGlutathioneNeuroscienceBiochemistry

Abstract

fetched live from OpenAlex

The level of glutathione (GSH) is often reduced in brains that are affected by neurodegeneration. It is not known, however,whether this is a cause or a consequence of the disease. Here we have examined the effects of GSH depletion on the viability of human neurons cultured in either the presence or the absence of astrocytes, both derived from NT2/D1 cells. We established that the endogenous concentration of GSH is 10 times lower in neurons than in astrocytes (1.42 versus 18.9 pmol microg protein(-1)) and that pure neuronal cultures begin to die by apoptosis within 24 h of GSH depletion. By contrast, neurons that are co-cultured with astrocytes remain viable for several days, even with a profoundly decreased GSH content. However, they die rapidly when challenged additionally with nitrative stress. In addition, astrocytes survive for prolonged periods of time (>12 days) under severely reduced GSH concentrations. Our study shows clear differences in the content and sensitivity to depletion of GSH in neurons and astrocytes and establishes the significance of neuronal-glial interactions for the maintenance of neuronal viability under reduced GSH content. However, with chronic GSH depletion, these interactions might not be sufficient to protect neurons from other injurious factors (i.e. reactive oxygen and nitrogen species), which indicates that defective GSH metabolism might facilitate the progression of neurodegeneration.

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)0.001
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 score0.069
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.025
GPT teacher head0.301
Teacher spread0.276 · 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

Citations18
Published2004
Admission routes1
Has abstractyes

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