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Record W1971025898 · doi:10.1139/g08-012

Antioxidants cannot suppress the lethal phenotype of a <i>Drosophila melanogaster</i> model of Huntington’s disease

2008· article· en· W1971025898 on OpenAlexafffundvenue
Sepehr Bahadorani, Arthur J. Hilliker

Bibliographic record

VenueGenome · 2008
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDrosophila melanogasterBiologyPhenotypeGeneticsDiseaseDrosophila (subgenus)Huntington's diseaseGeneMedicine

Abstract

fetched live from OpenAlex

Substantial evidence suggests that antioxidants may play a major role in delaying the progress of Huntington's disease (HD). Here we investigated the effects of superoxide dismutase (cytoplasmic Cu/ZnSOD and mitochondrial MnSOD) and supplementation with dietary antioxidants (alpha-tocopherol and coenzyme Q10) on survival to adulthood in a Drosophila melanogaster model of HD. Our results illustrate that neither overexpression of superoxide dismutase nor supplementation of dietary antioxidants can rescue the lethal phenotype of HD flies. We discuss these results in conjunction with other evidence that antioxidants may only avert the oxidative stress induced progression of HD.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.045
GPT teacher head0.246
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2008
Admission routes3
Has abstractyes

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