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Record W7027098120

Cerebellar pathophysiology in a mouse model of Duchenne muscular dystrophy

2012· dissertation· en· W7027098120 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle Physiology and Disorders
Canadian institutionsManitoba Arts CouncilUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Fundersnot available
KeywordsCerebellumDystrophinDuchenne muscular dystrophyPurkinje cellmdx mouseSarcolemmaDeep cerebellar nuclei
DOInot available

Abstract

fetched live from OpenAlex

This series of experiments investigated dystrophin localization in the normal cerebellum and examined Purkinje neuron function in normal and dystrophin-deficient mice to better understand the physiological basis for cognitive deficits associated with Duchenne muscular dystrophy (DMD), a common genetic disorder among children. Cognitive impairments are consistently reported in DMD, yet precise mechanisms for their occurrence are unknown. Dystrophin protein, which is absent in DMD, is normally localized to muscles and specific neurons in the brain. Purkinje neurons are rich in dystrophin, specifically in somatic and dendritic membranes. Studies demonstrate perturbed cerebellar function in the absence of dystrophin, suggesting that DMD should be regarded as a cerebellar disorder in addition to being considered a neuromuscular disorder. However, theory and evidence are not generated from overlapping information: research investigating cerebellar involvement in DMD has focused on the vermal region, associated with motor function. The lateral region, implicated in cognition, has not been explicitly examined in DMD. The first experiment revisited the issue of dystrophin distribution in the mouse cerebellum using immunohistochemistry to investigate qualitative and quantitative differences between cerebellar regions. Both regions showed dystrophin localized to Purkinje neuron somatic and dendritic membranes, but dystrophin density was 30% greater in the lateral than the vermal region. The second experiment examined intrinsic electrophysiological properties of vermal and lateral Purkinje neurons from wild-type (WT) mice and from the mdx mouse model of DMD which lack dystrophin. Significant differences in action potential firing frequency, regularity, and shape were found between cerebellar regions. Purkinje neurons from mdx mouse cerebellum exhibited membrane hyperpolarization and irregular action potential firing, regardless of region. Spontaneous action potential firing frequency was reduced in Purkinje neurons from lateral cerebellum in mdx mice relative to controls, demonstrating that a loss of dystrophin causes a potent dysregulation of Purkinje neuron function in the region associated with cognition. This research extends our understanding of cerebellar pathology in DMD and its potential relevance to cognitive deficits in the disorder. Moreover, this research further supports the role of the cerebellum as a structure important for cognition and contributes to our understanding of dystrophin’s role in the brain.

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)0.001
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.194
Teacher spread0.186 · 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
Published2012
Admission routes1
Has abstractyes

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