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Record W2165491779 · doi:10.1002/jnr.10864

Neuroprotective functions of prion protein

2003· review· en· W2165491779 on OpenAlexaff
Xavier Roucou, Malcolm J. Gains, Andréa C. LeBlanc

Bibliographic record

VenueJournal of Neuroscience Research · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsNeurodegenerationNeuroprotectionBiologyPrion proteinOxidative stressCell biologyApoptosisProgrammed cell deathFunction (biology)PhenotypeNeuroscienceGeneticsBiochemistryMedicineGenePathologyDisease

Abstract

fetched live from OpenAlex

The normal function of prion protein (PrP) is usually disregarded at the expense of the more fascinating role of PrP in transmissible prion diseases. However, the normal PrP may play an important role in cellular function in the central nervous system, since PrP is highly expressed in neurons and motifs in the sequence of PrP are conserved in evolution. The finding that prion null mice do not have a significant overt phenotype suggests that the normal function of PrP is of minor importance. However, the absence of PrP in cells or in vivo contributes to an increased susceptibility to oxidative stress or apoptosis-inducing insults. An alternative explanation is that the PrP normal function is so important that it is redundant. Probing into the characteristics of PrP has revealed a number of features that could mediate important cellular functions. The neuroprotective actions so far identified with PrP are initiated through cell surface signaling, antioxidant activity, or anti-Bax function. Here, we review the characteristics of the PrP and the evidence that PrP protects against neurodegeneration and neuronal cell death.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.177
GPT teacher head0.456
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations176
Published2003
Admission routes1
Has abstractyes

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