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Record W7046649688

The effect of in-utero-through-postnatal exposure of mice to perfluorinated compounds on airway inflammation and function

2014· dissertation· en· W7046649688 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2014
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaManitoba Health Research Council
KeywordsLungPerfluorooctanoic acidToxicityInflammationXenobioticAsthmaInhalation exposureInhalationHyperplasia
DOInot available

Abstract

fetched live from OpenAlex

Perfluorinated compounds, non-degradable xenobiotics in many consumer products, can cause developmental toxicity in animals, and human exposure is associated with asthma symptoms. We tested the hypothesis that sustained chronic exposure to perfluorooctanoic acid (PFOA), fluorotelomer alcohol (FTOH) or perfluorooctanesulfonic acid (PFOS) induces lung dysfunction that exacerbates allergen-induced airway hyperresponsiveness (AHR) and inflammation. Mice were exposed to the chemicals from early gestation day to adulthood. Some pups were sensitized and challenged with ovalbumin. Serum PFOA was analyzed by liquid chromatograph-tandem mass spectrometry. Lung function was measured using a small animal ventilator. We assayed inflammatory cells in the lung, performed PCR for lung cytokines, and examined bronchial goblet cell hyperplasia by histology. Here we show that either PFOA or FTOH exposure can induce AHR, but neither one predisposes for exaggerated allergic lung inflammation or AHR. FTOH or PFOS exposure appears to suppress allergic lung inflammation, but does not affect allergic lung dysfunction.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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