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129Xe Gas Exchange MRI in Obesity-associated Asthma: Clinical Correlates and Regional Patterns

2025· article· en· W4410270857 on OpenAlexaff
David Mummy, Jennifer L. Ingram, Andrew McHorse, Gangaram Singh, Huanlong Qin, Miranda Kirby, Bastiaan Driehuys, Loretta G. Que

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMedicineAsthmaObesityPathologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Rationale. The complex interplay of factors contributing to the pathobiology of obesity-associated asthma is poorly understood. Advancing understanding of the unique disease mechanisms driving gas exchange abnormalities in asthma with comorbid obesity may improve patient management in this difficult to treat population. Hyperpolarized 129Xe MRI has revealed increased ventilation defect percent (VDP) in asthma, and, separately, increased membrane high percent (MHP) in obese healthy participants. However, XeMRI has not been studied specifically in obesity-associated asthma. Here, we characterized patterns of XeMRI gas exchange in obese asthma and assess correlations with clinical measures of lung function, including impulse oscillometry. Methods. N=23 asthma participants (18F, 47±9 years) and 7 healthy controls (5F, 46±12 years) underwent supine chest CT and XeMRI gas exchange imaging scans, spirometry, and impulse oscillometry. All subjects had BMI>30 kg/m2. Chest CT scans were analyzed with the VIDA software package to delineate segmental boundaries and registered to the XeMRI images, with bronchopulmonary segments broadly categorized as either “anterior” or “posterior”. Differences in VDP, MHP, and red blood cell defect percent (RDP) in asthma vs. controls were assessed using the Wilcoxon rank-sum test. Correlations between VDP and forced expiratory volume in 1 second (FEV1), resistance at 5Hz (R5), change in resistance (R5-20), and area of reactance (AX) on impulse oscillometry, and methacholine PC20 (MChPC20), were assessed using the Spearman correlation. Values of MHP in posterior vs. anterior segments was assessed using the Wilcoxon rank-sum test. Results. No significant differences were observed in VDP, MHP, or RDP in the asthma vs. control groups. Across all participants, VDP was correlated with AX (ρ=0.53, p<0.01) but not FEV1 (ρ=-0.31, p=0.11), and MHP was significantly higher in the posterior segments than the anterior segments (median [1Q-3Q] of 3.8% [0.9%-23.9%] vs. 0.6% [0%-7.6%] respectively, p<0.01). VDP was negatively correlated with MChPC20 (ρ=-0.56, p=0.03) in asthma participants. Conclusion. No significant differences were observed in XeMRI gas exchange function in obese asthma vs. obese control participants. VDP correlated with AX across all subjects, suggesting a link between peripheral airway compliance and VDP in obesity regardless of diagnosis. Further, the link between VDP and MChPC20 in subjects with obesity-associated asthma suggests airway hyperreactivity contributes to VDP, despite the lack of strong correlation with FEV1. Finally, increased MHP in posterior vs. anterior segments suggests gravitational dependence rather than regional inflammation or fibrosis. Ongoing work will assess regional gas exchange patterns pre- and post-bronchodilator in this complex population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.168
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.025
GPT teacher head0.363
Teacher spread0.337 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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