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Record W7132889652

Histopathology in Skeletal Muscle of Transgenic Mice Suggests Dual-Locus of Onset (DLO) in Kennedy's Disease

2014· dissertation· W7132889652 on OpenAlexaff
Mike Grant McPhail

Bibliographic record

VenueTSpace · 2014
Typedissertation
Language
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSkeletal muscleGenetically modified mouseAtrophyHistopathologyTransgeneDiseaseDegenerative diseaseMuscle atrophyMuscle hypertrophyITGA7
DOInot available

Abstract

fetched live from OpenAlex

Kennedy's Disease or Spinal-Bulbar Muscular Atrophy (KD/SBMA) is a neuromuscular disease associated with a CAG tri-nucleotide repeat expansion within the androgen receptor (AR) gene. Mouse models of KD used in this investigation expressed mutant AR either in motor neurons (HB9/AR113 mice) or skeletal muscle (HSA/AR113 mice), revealing abnormalities within the extensor digitorum longus (EDL) and soleus (SOL) muscles. Reduced oxidative metabolism was observed in both HB9/AR113 and HSA/AR113 mice, while a fiber-type switch and a reduction in cell size were only observed in HSA/AR113 mice. Deficits in fiber number and endurance strength were found in HB9/AR113 mice only. These findings support the DLO hypothesis, suggesting that onset of KD involves pathology in motor neurons, and perhaps skeletal muscle. Notably, in vivo evidence of pathology in HB9/AR113 mice is an original finding of this investigation.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.027
GPT teacher head0.336
Teacher spread0.309 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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