Late Breaking Abstract - Evaluating the clinical potential of inhalation of umbilical cord mesenchymal stem cell (UC-MSC) exosomes in pulmonary fibrosis (PF) treatment.
Bibliographic record
Abstract
• Idiopathic pulmonary fibrosis (IPF) is a devastating interstitial lung disease with limited treatment. Exosomes from UC-MSCs possess anti-fibrotic and regenerative properties. However, the therapeutic efficacy in treating PF remains underexplored. We explored the therapeutic potential of nebulized UC-MSC exosomes (Zen Zen biotech, Taiwan). C57BL/6 male mice intratracheally administered bleomycin (4U/kg) to induce PF. PF mice were treated with aerosolized 1010 particles/kg exosomes or placebo for 5 consecutive days. Lung function was measured through Flexivent (Scireq, Canada), and tissue morphology was identified using Masson Trichrome and hematoxylin and eosin (H&E) staining. Exosome-treated mice showed significantly improved lung function: 20% increased total lung capacity, 38% decreased resistance, and 40% improved compliance. The 105% decrease hydroxyproline analysis and a decline in lung-BW ratio indicated a reducing collagen accumulation. Histology revealed recovered alveolar structure. Exosome-treated mice lost only 2% body weight compared to 24% in controls. Aerosol inhalation provides a non-invasive exosome delivery to the lungs, increasing target site concentration and potentially achieving greater therapeutic effects. Our findings demonstrate the potential of inhaled exosomes for PF treatment, with future work focusing on mechanisms and optimization. erj;64/suppl_68/PA5169/F1 F1 F1
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".