Abstract 12242: Nanoporous Microgel Encapsulation of Extracellular Vesicles Enhances Lung Delivery for the Treatment of Pulmonary Vascular Diseases
Bibliographic record
Abstract
Introduction: Pulmonary arterial hypertension (PAH) is a devastating lung disease with no curative treatments available. Cell-based therapies are a promising regenerative approach, including the direct application of stem cell derived extracellular vesicles (EVs). Mesenchymal stromal cells (MSCs) have shown promise as a treatment for many cardiovascular diseases; their therapeutic effects are predominately mediated by paracrine mechanisms, in particular the release of EVs. Yet, systemically administered EVs are rapidly cleared to the liver and spleen, with minimal lung accumulation. Hypothesis: We hypothesized that encapsulation of EVs within nanoporous microgels would provide a novel therapeutic product to improve EV lung delivery and retention and therefore enhance their therapeutic benefits. Methods & Results: MSC-derived EVs were purified using tangential flow filtration resulting in a median size of 108±53nm by nanoparticle tracking analysis, and positive for CD63 by Western blot. EV-loaded microgels were prepared using a microfluidic device producing agarose-gelatin (1%-1%) microgels of 47.2±0.4um diameter. In vitro uptake assays were performed with DiR or pkh26 labelled EVs and quantified by microscopy. Encapsulated EVs demonstrated a delayed-release profile in vitro with reduced HUVEC uptake over 24h (9.7±1.1% encap. vs. 46±5.3% free). In vivo biodistribution studies were performed in the monocrotaline model of PAH using central intravenous delivery. EV-loaded microgels were efficiently retained within the lungs after 24h (81±12% encap vs. 7.5±0.4% free), while free EVs accumulated in the liver (74±2.3% free vs 10±2.5% encap). Furthermore, lung digestion and flow cytometry analysis revealed that encapsulated EVs were readily taken up by CD45+ immune cells and CD31+ endothelial cells to a greater extent than free EVs, indicating enhanced interaction with the local lung microenvironment. Conclusion: Microencapsulation of EVs results in significantly enhanced local retention within the lung, leading to increased local cellular uptake compared to systemically administered EVs.
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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 | 0.000 | 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) | 0.001 | 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".