Fibroblast progenitor cells are recruited into the myocardium prior to the development of myocardial fibrosis
Bibliographic record
Abstract
Using an established model of myocardial hypertrophy and fibrosis after angiotensin II (AngII) infusion, our aim was to characterize the early cellular element involved in the development of myocardial fibrosis in detail. Male Lewis rats were infused with saline or AngII (0.7 mg/kg per day) for up to seven days. Collagen deposition and cellular infiltration were identified by histology stains. Infiltrating cells were grown in vitro and examined by flow cytometry and immunostaining. Chemokine expression was measured using qRT-PCR. AngII infusion resulted in multifocal myocardial cellular infiltration (peak at three days) that preceded collagen deposition. Monocyte chemotactic protein (MCP)-1 transcripts peaked after one day of AngII exposure. Using a triple-labelling technique, the infiltrating cells were found to express markers of leucocyte (ED1(+)), mesenchymal [α-smooth muscle actin (SMA)(+)] and haematopeotic progenitor cells (CD133(+)) suggesting a fibroblast progenitor phenotype. In vitro, ED1(+)/SMA(+)/CD133(+) cells were isolated and grown from AngII-exposed animals. Comparatively few cells were cultured from untreated control hearts, and they were found to be ED1(-)/SMA(+)/CD133(-). We provide evidence that myocardial ECM deposition is preceded by infiltration into the myocardium by cells that express a combination of haematopoietic (ED1, CD133) and mesenchymal (SMA) cell markers, which is a characteristic of the phenotype of fibroblast precursor cells, termed fibrocytes. This suggests that fibrocytes rather than (as is often presumed) leucocytes may have effector functions in the initiation of myocardial 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 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".