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Calcitonin gene‐related peptide mediates acid‐induced lung injury in mice

2007· article· en· W2101356547 on OpenAlexaff
Tomoko Aoki‐Nagase, Takahide Nagase, Yoshio Oh-hashi, Yukiko Kurihara, Yasuhiro Yamaguchi, Hiroshi Yamamoto, Taiji Nagata, Hiroki Kurihara, Yasuyoshi Ouchi

Bibliographic record

VenueRespirology · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsCentre for Advancing Health Outcomes
FundersJapan Society for the Promotion of ScienceJapan Foundation for Aging and Health
KeywordsCalcitonin gene-related peptideMedicineLungCalcitoninARDSNeuropeptideContext (archaeology)Respiratory systemInternal medicineEndocrinologyPathologyAnesthesiaBiologyReceptor

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Acid-induced lung injury from aspiration is one of the most important causes of ARDS. Calcitonin gene-related peptide (CGRP) is a neuropeptide that has various biological actions. The current study investigated whether CGRP might have pathophysiological roles in acid-induced lung injury. METHODS: The investigations employed CGRP gene-disrupted mice--mutant mice (CGRP(-/-)) and their littermate controls (CGRP(+/+)). Anaesthetized and mechanically ventilated mice received 2 mL/kg HCl (pH = 1.5) intratracheally. Lung wet-to-dry weight ratios were calculated to assess pulmonary oedema, total and differential cell counts of the BALF were determined, and measurements of myeloperoxidase activity were performed. RESULTS: Acid-induced lung injury was characterized by an increase in lung permeability and respiratory failure. Disruption of the CGRP gene significantly attenuated acid-induced injury, oedema and respiratory failure. CONCLUSIONS: This study suggests that CGRP is involved in the pathogenesis of acute lung injury caused by acid aspiration and CGRP mutant mice may provide an appropriate model to study molecular mechanisms in this context.

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)0.000
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 score0.035
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.023
GPT teacher head0.296
Teacher spread0.273 · 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

Citations17
Published2007
Admission routes1
Has abstractyes

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