Alterations in Large and Small Proteoglycans in Bleomycin-Induced Pulmonary Fibrosis in Rats
Bibliographic record
Abstract
In bleomycin (BM)-induced lung fibrosis, alterations have been shown in the expression and deposition of small proteoglycans (PGs). Less, however, is known about changes in large PGs. We investigated changes in large aggregating (versican [VS]), basement membrane (heparan sulfate proteoglycan [HSPG]), and small (biglycan and fibromodulin) PGs during the development of BM-induced pulmonary fibrosis. BM (1.5 U) was instilled intratracheally into male Sprague-Dawley rats. Control rats received saline. At 7, 14, and 28 d after administration of BM, lungs were excised; one lung was fixed in formalin and 5-microm sections were cut and stained with hematoxylin-eosin. The other lung was used for PG extraction. PGs were extracted with guanidine and were separated through composite gel polyacrylamide gel electrophoresis (PAGE) (large PGs) and sodium dodecylsulfate-PAGE (small PGs). Gels were either stained or electrophoretically transferred and probed with antibodies to VS, HSPG, biglycan, and fibromodulin. Histologic samples showed prominent inflammation, with abundant proteinaceous material, most evident in the samples obtained at 7 and 14 d after administration of BM. By 28 d after BM, much of the inflammatory response had resolved, and heterogeneous distribution of fibrosis was observed. Immunoblots showed a relative abundance of VS at 7 and 14 d. Control lungs stained minimally for VS. Levels of HSPG, biglycan, and fibromodulin were increased maximally at 14 d after administration of BM. Immunocytochemistry showed intense immunostaining of biglycan and fibromodulin in the areas of injured lung tissue from rats 14 and 28 d after BM administration. Control lungs revealed minimal staining for small PGs. Our findings indicate that changes in all subclasses of PGs occur during the development of BM-induced pulmonary fibrosis.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".