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Record W2095636862 · doi:10.1051/medsci/20092510815

Transport du Na<sup>+</sup>dans les poumons

2009· review· fr· W2095636862 on OpenAlexaff
André Dagenais, Émilie Boncoeur, Yves Berthiaume

Bibliographic record

Venuemédecine/sciences · 2009
Typereview
Languagefr
FieldBiochemistry, Genetics and Molecular Biology
TopicIon Transport and Channel Regulation
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsEpithelial sodium channelMucociliary clearanceLungDownregulation and upregulationMedicineAirwayImmunologyARDSSecretionCystic fibrosisInflammationBiologyChemistryEndocrinologyInternal medicineAnesthesiaSodium

Abstract

fetched live from OpenAlex

Na+ transport by airway epithelial cells, in conjunction with Cl- secretion is crucial for maintaining an adequate level of airway surface liquid (ASL) for an effective mucociliary clearance by the ciliated airway epithelial cells. It is also an important mechanism for lung liquid absorption at birth and oedema absorption during an acute respiratory distress syndrome (ARDS). The epithelial Na+ channel (ENaC) is the channel mostly involved in this process. The consequences of an imbalance in ENaC activity in the airways and in the distal lung are different. Experimental over expression of ENaC in the airways leads to a decrease in mucociliary clearance and inflammation similar to cystic fibrosis and chronic bronchitis. However, bacterial and viral pathogens, as well as pro-inflammatory cytokines present during lung infection downregulate ENaC expression and activity in airway and alveolar epithelial cells. ENaC downregulation by pathogens or inflammatory products could participate in the modulation of the severity of ARDS. Pharmacological strategies that modulate ENaC expression or activity could be important in the treatment of different lung diseases since it is actively involved in the lung innate defence mechanisms.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.005

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 head0.030
GPT teacher head0.278
Teacher spread0.248 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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