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Lumbar motoneuron fate in a mouse model of amyotrophic lateral sclerosis

2002· article· en· W2028546900 on OpenAlexaff
Dwayne K. Hamson, Jie Hu, Charles Krieger, Neil V. Watson

Bibliographic record

VenueNeuroreport · 2002
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia
Fundersnot available
KeywordsAmyotrophic lateral sclerosisSpinal cordBulbocavernosus reflexNeuroscienceNucleusMedicineCentral nervous systemDegenerative diseaseMotor neuronLumbar Spinal CordAtrophyAnatomyPathologyCentral nervous system diseaseBiologyDisease

Abstract

fetched live from OpenAlex

Onuf's nucleus, a collection of motoneurons within the spinal cord, is often spared in the neurodegenerative disorder amyotrophic lateral sclerosis. To assess whether these cells survive in a rodent model of this disease, motoneurons were counted in the spinal nucleus of the bulbocavernosus (an homologous structure to Onuf's), as well as in two other cell groups at the same level of the spinal cord, the dorsolateral nucleus and the retrodorsolateral nucleus. In mice displaying signs of neurodegeneration, both the dorsolateral and retrodorsolateral nuclei displayed significant motoneuron loss compared to controls; this cell loss was particularly exaggerated in the retrodorsolateral nucleus of animals displaying a rapid disease progression. However, no significant decline in motoneuron number was observed in the spinal nucleus of the bulbocavernosus, and the perineal muscle bulbocavernosus, which is innervated by this nucleus, appeared to be unaffected. This was in stark contrast to the thigh muscles, which displayed significant atrophy. Overall, these data indicate that the spinal nucleus of the bulbocavernosus is spared from degeneration in an animal model of amyotrophic lateral sclerosis, paralleling observations in patients suffering from this disease. Further study of this resistance to motoneuron loss may provide useful insights into the pathophysiology of the degenerative process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.102
GPT teacher head0.283
Teacher spread0.182 · 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
Published2002
Admission routes1
Has abstractyes

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