Profound lung remodeling in heart failure, a poorly understood phenomenon with a significant impact (715.6)
Bibliographic record
Abstract
Exercise intolerance, characterized by dyspnea and early onset of exertional fatigue, is a chief complaint among patients with heart failure (HF). Limb muscle dysfunction is a known contributor to exercise intolerance, however, this phenomena does not explain dyspnea. Lung remodeling has been reported in end‐stage HF patients which could contribute to dyspnea and exercise intolerance, underscoring the importance and urgent need to better understand its role in HF. Our aim is to characterize the development of lung remodeling and its impact on exercise intolerance in HF. We hypothesize that lung remodeling occurs early in the development of HF, causing exercise‐induced hemoglobin (Hb) desaturation, affecting exercise performance. Methods: Male CD1 mice were subject to either transverse aortic constriction (TAC) or sham surgery. Exercise tolerance and Hb saturation were measured during a graded exercise test. The animals were sacrificed and lungs excised and fixed for histological evaluation. Results: Time to exhaustion was decreased by 40% in TAC. Hb saturation in TAC decreased during exercise while sham remained unchanged (p<0.05). Hb levels were similar between sham and TAC animals. Lung compliance was significantly reduced in 9 week TAC compared to sham (p<0.05), which further declined by 18 weeks (p<0.01). Histological assessment revealed significant remodeling including a 43% increase in fibrosis (p<0.01), marked inflammation and distended alveoli. Conclusions: Lung remodeling plays a significant yet under acknowledged role in exercise intolerance in HF patients. Grant Funding Source : Ontario Thoracic Society
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".