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Record W2118111815 · doi:10.1017/s1462399401002551

The CF mouse: an important tool for studying cystic fibrosis

2001· article· en· W2118111815 on OpenAlexaff
Donald J. Davidson, Julia R. Dorin

Bibliographic record

VenueExpert Reviews in Molecular Medicine · 2001
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsChild and Family Research Institute
Fundersnot available
KeywordsCystic fibrosisCystic fibrosis transmembrane conductance regulatorPhenotypeKnockout mouseBiologyDiseaseChloride channelGene knockoutGeneImmunologyGeneticsMedicineCell biologyPathology

Abstract

fetched live from OpenAlex

Cystic fibrosis (CF) is a common and fatal recessive disease, which is caused by dysfunction of a chloride ion channel, termed the CF transmembrane conductance regulator (CFTR). The CF gene was cloned in 1989; subsequently, several mouse models have been created using gene targeting within embryonic stem cells. This report describes how such animal models provide the opportunity to elucidate disease pathogenesis, correlate genotype with phenotype and develop novel therapies. The current models encompass mice with a complete knockout of CFTR function, with residual CFTR function, and with precise mutations corresponding to those in humans that precipitate CF. All the CF mice demonstrate the characteristic CF ion-transport defect and show some evidence of intestinal disease, but they have a variable level of survival. Genetic background has also been shown to affect the intestinal phenotype of CF mice and this has allowed identification of a genetic modifier locus of CF in humans. Lung disease in human CF is the major cause of death in early adulthood. This is not entirely reproduced in CF mice, but repeat exposure of the lung to clinical pathogens does reveal a significantly abnormal pathogen-related response in the residual-function mice. CF mice have been successfully used to investigate the safety and efficacy of various pharmacological and gene-therapy protocols. As new cloning techniques become available, the models can be refined to ensure that in vivo models continue to be an essential tool for studying CF.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation 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 score0.972
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.387
Teacher spread0.349 · 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 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

Citations88
Published2001
Admission routes1
Has abstractyes

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