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Record W2087661946 · doi:10.1191/1352458503ms924oa

The amount of sonic hedgehog in multiple sclerosis white matter is decreased and cleavage to the signaling peptide is deficient

2003· article· en· W2087661946 on OpenAlexaff
Fabrizio G. Mastronardi, Luis AG daCruz, Huimin Wang, Joan M. Boggs, Mario A. Moscarello

Bibliographic record

VenueMultiple Sclerosis Journal · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsSonic hedgehogMyelin basic proteinMyelinWhite matterOligodendrocyteCleavage (geology)Western blotMyelin-associated glycoproteinHedgehog signaling pathwayBiologyMolecular biologyChemistryCell biologySignal transductionBiochemistryCentral nervous systemEndocrinologyMedicineGeneMagnetic resonance imaging

Abstract

fetched live from OpenAlex

We have demonstrated that sonic hedgehog (Shh), vital for oligodendrocyte development, is present in both gray and white matter of normal human brain. Both the 45 kDa precursor protein and the 20 kDa N-terminal sonic hedgehog signaling portion (ShhN) were demonstrated by immunoblot and a partial purification has been achieved. In gray matter from brains of multiple sclerosis (MS) victims, the total amount of Shh was less than normals and the signaling 20 kDa protein was greatly reduced. In white matter homogenates, prepared from MS victims, only the 45 kDa precursor protein was found. None of the 20 kDa signaling protein was detected, suggesting that the 45 kDa signaling protein was not cleaved in the autocatalytic reaction carried out by the C-terminal portion. The 45 kDa protein and a small amount of the 20 kDa ShhN was detected in isolated MS myelin by Western blot, demonstrating some cleavage was possible. The cleavage of the 45 kDa protein was demonstrated in normal myelin in vitro, but not in myelin prepared from MS 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 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)0.002
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 score0.023
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.051
GPT teacher head0.236
Teacher spread0.185 · 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

Citations28
Published2003
Admission routes1
Has abstractyes

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