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Record W2104955079 · doi:10.4172/2155-9929.1000120

Pre-Clinical Changes Observed by Magnetic Resonance Imaging in a Hamster Model of Transmissible Spongiform Encephalopathy: a Potential Biomarker of Prion Infection

2011· article· en· W2104955079 on OpenAlexaff
Richard K. Baydack, Eilean J. McKenzie, Catherine C. Robertson

Bibliographic record

VenueJournal of Molecular Biomarkers & Diagnosis · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPrion Diseases and Protein Misfolding
Canadian institutionsCanadian Science Centre for Human and Animal HealthUniversity of ManitobaNational Research Council CanadaNational Research Council Institute for BiodiagnosticsPublic Health Agency of Canada
Fundersnot available
KeywordsTransmissible spongiform encephalopathyBiomarkerMagnetic resonance imagingHamsterMedicinePrion proteinVirologyPathologyBiologyScrapieInternal medicineGeneticsDiseaseRadiology

Abstract

fetched live from OpenAlex

The objective of the study was to develop a model for the diagnosis of prion diseases in live animals, using magnetic resonance imaging (MRI).Hamsters experimentally infected with the 263K strain of scrapie were imaged periodically during the course of prion infection.Changes in the brain, particularly the hippocampus, were observed during the first quarter of the incubation period.These changes included an increase in T 2 relaxation time and apparent diffusion coefficient (ADC), indicative of an increase in the water content of tissues.These changes were apparent well before the appearance of clinical symptoms, and did not correlate with the typical histological changes characteristic of prion disease, (vacuolation, accumulation of PrP protein, gliosis) suggesting that the changes are caused by a progressive accumulation of fluid.This oedema may be a novel early marker of prion disease, and could play a role in pathogenesis.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.029
GPT teacher head0.271
Teacher spread0.242 · 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 designObservational
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

Citations1
Published2011
Admission routes1
Has abstractyes

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