Mediating role of interstitial lung abnormalities in the association between MUC5B genotype and exercise physiology
Bibliographic record
Abstract
Background: Interstitial lung abnormalities (ILA) are incidental imaging findings thought to be precursors of interstitial lung diseases. The MUC5B promoter gene (rs35705950) has been linked to ILA, which are tied to reduced lung function and poorer health outcomes. Aim: This study sought to investigate the mediating effect of ILA on the relationship between genotype and lung exercise physiology. Methods: This cross-sectional study used data from the community-based Canadian Cohort of Obstructive Lung Disease (CanCOLD) registry. Physiologic exercise measures included work rate (watts/min), O2 consumption rate (VO2, L/min), O2 saturation (SpO2, %), and dyspnea (Borg 0-10 scale). Causal mediation analysis was performed to evaluate the mediating role of ILA in the relationship between MUC5B minor allele genotype and peak exercise measures, adjusting for confounders (age, sex, height, and weight). Results: Presence of ILA significantly mediated the association between MUC5B and impaired work rate (p=0.02) and VO2 max (p=0.038), but no overall effect was found. In contrast, MUC5B minor allele was significantly associated with lower SpO2 through direct and total effects, unmediated by ILA. Dyspnea showed no association with either ILA or MUC5B. Conclusions: ILA mediated the relationships between MUC5B genotype and work rate and VO2, but did not mediate the relationships with SpO2 or dyspnea, suggesting the importance of ILA on impaired exercise physiology in individuals with genetic predispositions. Other pathways and additional mediators may exist and contribute to exercise limitation.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".