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E-Cigarette Aerosol Inhibition of Compositionally Different Surfactants

2024· article· en· W4398167389 on OpenAlex
Emma Graham, Sabrine Moya Gehani, Ruud A. W. Veldhuizen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Chemistry and Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsAerosolChemistryEnvironmental chemistryEnvironmental scienceBiophysicsBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Introduction: Pulmonary surfactant lines the alveolar surface where it reduces surface tension (ST) thereby facilitating breathing with minimal effort. As such, impairment of surfactant’s surface tension reducing function can contribute to lung injury. Isolated surfactant from the lung consists of up of 85-90% by weight saturated and unsaturated phospholipids, 5-10% neutral lipids, mainly cholesterol, and 10% surfactant proteins, designated SP-A, SP-B, and SP-C. However, studies examining surfactant function and dysfunction have often utilized surfactants with simpler compositions. One recent area of interest is the impact of e-cigarette (EC) generated aerosols on surfactant. EC use remains a popular habit despite reports of vaping associated acute lung injury. Upon inhalation, EC aerosol comes into direct contact with pulmonary surfactant and previous studies have demonstrated that EC aerosol exposure can impair surfactant function using either bovine lipid-extracted surfactant (BLES) or simple lipid mixtures. Comparing inhibition by EC aerosol of a more diverse set of surfactant preparations can further elucidate which components of surfactant are most affected by EC aerosol. We hypothesized that EC aerosol would cause varying degrees of functional inhibition in compositionally different surfactants. Methods: The following surfactant preparations were tested: BLES, BLES + SP-A, natural bovine, SP-A deficient bovine, and synthetic surfactants composed of saturated lipids + cholesterol + SP-C, and saturated + unsaturated lipids + cholesterol + SP-C. To test the exposure to EC aerosol, 2ml of surfactant was placed in a syringe (30ml) attached to an EC. The generated aerosol was drawn into the syringe for 30 sec and then expelled, this was repeated 30 times. The functional impact was then tested on a constrained sessile drop surfactometer to analyse changes in ST reduction. Results: Upon exposure to EC aerosol, natural bovine surfactant had significantly higher minimum ST compared to non-exposed and BLES. This difference did not appear to be mediated by SP-A. Synthetic lipid mixtures containing only saturated phospholipids (DPPC) were not significantly inhibited by EC aerosol, but the addition of unsaturated lipids resulted in increased minimum ST. Conclusion: Functional impairment of pulmonary surfactant due to EC aerosol is dependent on aerosol interaction with unsaturated lipids. This effect is more pronounced in natural complete surfactants. Western, 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.105
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.211
Teacher spread0.205 · 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