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Is improved pulmonary vasodilation why endurance trained individuals have elevated diffusing capacity compared to untrained individuals?

2024· article· en· W4398175237 on OpenAlexaffabout
Cameron M. Ehnes, Sophie É. Collins, Andrew R. Brotto, Desi P. Fuhr, Stephanie Thompson, Sean van Diepen, Michael K. Stickland

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPulmonary Diffusing CapacityVasodilationMedicineCardiologyInternal medicineEndurance trainingPhysical therapyDiffusing capacityPhysical medicine and rehabilitationLungLung function

Abstract

fetched live from OpenAlex

Contrary to our traditional understanding, the pulmonary vasculature may adapt to endurance training. Improved pulmonary vasodilation may be the principal mediator for trained individuals who exhibit greater diffusing capacity (DLCO), capillary blood volume (VC; representing recruitment and distension) and membrane diffusing capacity (DM; representing recruitment) at rest and during exercise as compared to untrained. Potential functional differences may be investigated using pulmonary vasodilators ( e.g., oral sildenafil). The purpose of this study was to examine the effects of sildenafil on DLCO, VC, and DM, in trained and untrained participants. We hypothesized that sildenafil would increase rest and exercise DLCO, VC, and DM, with a lesser relative response in trained due to improved baseline pulmonary vascular function. In this randomized, double-blind, placebo-controlled cross-over design (NCT: 04985929), DLCO was measured at rest (supine and seated) and during cycle ergometry (60 Watts, 30%, 60%, and 90% of V̇O2peak). DLCO was conducted using the modified Roughton-Forster multiple FiO2 breath-hold technique over 6 visits, where participants were given either oral placebo or sildenafil (50 mg, single dose, 30 min wash-in). To date, 18 participants (6 female) (56% target sample size) have been recruited into two groups: trained (T) and untrained (UT) (Mean V̇O2peak = 66.6 ± 7.2 mL.kg−1.min−1 and 37.8 ± 3.2 mL.kg−1.min−1, respectively). Estimated PASP was reduced between placebo and sildenafil across all participants at rest (mean Δ = -2.7 mmHg; p<0.01), indicating effective pulmonary vasodilation. Under placebo, T had higher DLCO at rest (supine), 30%, 60%, and 90% of V̇O2peak (p<0.05), consistent with previous literature. There was no effect of sildenafil on DLCO, VC, or DM (all p>0.200) or drug by workload interactions (all p>0.189) in either group. These preliminary results suggest that pharmacological augmentation of the nitric oxide vasodilatory pathway does not increase DLCO regardless of training status. We speculate that this pathway may not be the primary driver responsible for the elevated DLCO observed in endurance trained participants. Natural Sciences and Engineering Research Council of Canada. 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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.284
Teacher spread0.251 · 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 designObservational
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
Published2024
Admission routes2
Has abstractyes

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