Single-cell microencapsulation improves lung retention of endothelial colony-forming cells after intravascular delivery and unmasks therapeutic benefit in severe pulmonary arterial hypertension
Bibliographic record
Abstract
Pulmonary arterial hypertension (PAH) is triggered by pulmonary vascular endothelial cell apoptosis and microvascular loss. Therefore, therapies that can regenerate lost vasculature may offer therapeutic benefit. Endothelial colony-forming cells (ECFCs) can directly repair damaged blood vessels and may have therapeutic potential for the treatment of PAH. However, poor retention of ECFCs in the lungs following intravenous delivery greatly limits their therapeutic application. Therefore, we studied whether cellular microencapsulation could enhance retention in the lung after systemic delivery and improve therapeutic efficacy of ECFCs in a rat monocrotaline (MCT) PAH model. ECFCs were encapsulated by vortex emulsion using various concentrations of agarose, and initial cell viability was assessed. Encapsulated and free ECFCs were transduced with luciferase and administered to Sprague-Dawley rats 3 days after injection of MCT. In vivo ECFC persistence and bio-distribution was assessed by bioluminescence imaging (BLI). At the end of the study, right ventricular systolic pressure (RVSP) and right ventricular hypertrophy were assessed for therapeutic efficacy. Microgel encapsulation using 3.5% agarose improved cell survival and supported cell migration from capsules. At 15 minutes after delivery, BLI radiance was similar for free and microencapsulated ECFCs. However, only encapsulated cells could be detected by BLI at 4 and 24 hours. Transplantation of microencapsulated ECFCs led to significant improvement in RVSP 3 weeks after delivery compared with nonencapsulated ECFCs. Together, microencapsulation increased retention of ECFCs within the lungs. Furthermore, even a modest increase in ECFC persistence over 24 hours can provide an important therapeutic benefit in the rat MCT model of PAH.
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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 | 0.000 | 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 | 0.000 |
| 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".