Unexpected calcification after direct intravascular injection of autologous bone marrow-derived cells in a chronic total occlusion model
Bibliographic record
Abstract
AIMS: Patients with symptomatic chronic total occlusions (CTO) remain a therapeutic challenge. Enhancement of intraluminal neovascularisation by pro-angiogenic therapies has been proposed as a new strategy to improve percutaneous revascularisation. The aim of this study was to investigate the effects of intraluminal injection of bone marrow-derived cells (BMC) into experimental CTO. METHODS AND RESULTS: CTO were created in the femoral arteries of 43 New Zealand White rabbits using the thrombin injection model. At 12 weeks following CTO creation, 33 rabbits were injected with either cultured BMC (n=19) or control DMEM alone (n=14) directly into the CTO. Ten rabbits were used for cell tracking (seven BMC and three control). BMC labelled with fluorescent Qdot® nanocrystals were identified in the CTO up to one week after injection. Animals were sacrificed at three to five weeks post-treatment and arterial samples were excised for micro-CT imaging and histologic morphometric analysis. There was a significant but modest increase in neovascularisation in BMC-treated arteries compared to controls (7.47±4.75% vs. 4.35±2.97%, p<0.05). However, unexpected intravascular calcification was only detected within the CTO in BMC cell treated arteries. Western blot for conditioned medium from BMC showed up-regulation of osteogenic proteins (BMP-2 and -7). CONCLUSIONS: Although direct delivery of BMC into CTO increases neovascularisation, undesirable vascular calcification will limit this therapeutic approach.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".