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E-Cigarette Aerosol Alters Pulmonary Surfactant Function

2024· article· en· W4398167381 on OpenAlexaff
Emma Graham, Lynda McCaig, Salem Abu Al-Burak, Ruud A. W. Veldhuizen

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicInhalation and Respiratory Drug Delivery
Canadian institutionsWestern University
Fundersnot available
KeywordsPulmonary surfactantAerosolPulmonary function testingChemistryLung functionMedicinePhysiologyEnvironmental chemistryLungInternal medicineBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Introduction: E-cigarette (EC) and vaping use continue to remain popular, particularly in young populations despite several clinical reports of vaping associated lung injury. One of the first compounds that EC aerosols comes into contact within the lungs during a deep inhalation is pulmonary surfactant. A complex mixture of lipids and proteins, surfactant reduces surface tension in the lungs maintaining compliance and preventing collapse. Currently, information on how EC aerosols impacts pulmonary surfactant remains limited, particularly in the in vivo scenario. We hypothesized that exposure to EC aerosol will impair the surface tension reducing ability of surfactant. Methods: In vitro EC aerosol exposure : Bovine Lipid Extract Surfactant (BLES) was used as a model surfactant in a direct exposure syringe system. BLES (2ml) was placed in a syringe (30ml) attached to an EC. The generated aerosol was drawn into the syringe and then expelled, repeated 30 times. In vivo EC aerosol exposure : Male and female Wistar rats were exposed to vehicle or menthol flavoured EC aerosol. Rats were exposed for 15 minutes for either a single or multiple (up to 8) exposures, with control animals receiving room air. Animals were euthanized and bronchoalveolar lavage was performed to collect surfactant. Analyzing surfactant function: Samples underwent dynamic compression and expansion, and biophysical analysis after exposure, completed using a constrained drop surfactometer (CDS). Results: Significant increases in minimum surface tensions were observed after exposure to EC aerosol across 20 compression/expansion cycles. Surfactant function was altered in vitro independent of vaping device, temperature, or inclusion of nicotine. Vehicle aerosol exposure produced alterations in surfactant properties, however addition of menthol flavouring significantly increased surface tensions compared to control and vehicle exposure. Preliminary in vivo studies indicate that aerosol exposure is well-tolerated by both male and female animals. Further experiments will analyze the function of surfactant isolated from these animals. Discussion: EC aerosols alter surfactant function through increases in minimum surface tension in vitro. This effect was more pronounced with menthol flavoured EC aerosol. It is anticipated that our in vivo experiments will corroborate these findings. Ultimately, impairment of surfactant due to EC aerosol exposure may contribute to lung dysfunction and susceptibility to further injury. Western University, NSERC, OGS. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

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 score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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