Human Lung Tissue Implanted on the Chick Chorioallantoic Membrane as a Novel <i>In Vivo</i> Model of Idiopathic Pulmonary Fibrosis
Bibliographic record
Abstract
Abstract Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal lung disease with no curative pharmacological treatment. Current preclinical models fail to accurately reproduce human pathophysiology and are therefore poor predictors of clinical outcomes. Here, we investigated whether the chick embryo chorioallantoic membrane (CAM) assay supports the implantation of xenografts derived from IPF lung tissue and primary IPF lung fibroblasts and can be used to evaluate the efficacy of antifibrotic drugs. We demonstrate that IPF xenografts maintain their integrity and are perfused with chick embryo blood. Size measurements indicate that the xenografts amplify on the CAM, and Ki67 and pro-collagen type I immunohistochemical staining highlight the presence of proliferative and functional cells in the xenografts. Moreover, the IPF phenotype and immune microenvironment of lung tissues are retained when cultivated on the CAM and the fibroblast xenografts mimic invasive IPF fibroblastic foci. Daily treatments of the xenografts with nintedanib and PBI-4050 significantly reduce their size, fibrosis-associated gene expression, and collagen deposition. Similar effects are found with GLPG1205 and fenofibric acid, two drugs that target the immune microenvironment. Our CAM–IPF model represents the first in vivo model of IPF that uses human lung tissue. This rapid and cost-effective assay could become a valuable tool for predicting the efficacy of antifibrotic drug candidates for IPF.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".