Baculovirus Expressing Tumor Growth Factor-β1 (TGFβ1) Nanoshuttle Augments Therapeutic Effects for Vascular Wound Healing: Design and In Vitro Analysis
Bibliographic record
Abstract
One of the major challenges in vascular tissue regeneration is effective wound healing that can be resolved by an innovative targeted nanoshuttle that delivers growth factors to blood vessels. This study investigates the production and efficacy of transforming growth factor-β1 (TGFβ1) gene delivery using poly(lactic- co -glycolic acid) (PLGA) baculovirus (BV) nanoshuttles (NSs). They exhibited an encapsulation efficiency of 86.23% ± 0.65% and a negative zeta potential of −29.57 ± 1.27 mV. In vitro studies in human umbilical vein endothelial cells (HUVECs) revealed that a 12 h incubation period optimized virus transduction. The safety and superior intracellular uptake of NSs and BVs in HUVECs were observed. The NSs carrying 100 and 400 MOI exhibited the highest cell proliferation rates in HUVECs. These sustained-release NSs significantly improved vascular cell migration and wound closure compared to free TGFβ1 carrying BV and can be a groundbreaking find in regenerative medicine, cardiovascular diseases, and chronic ulcer conditions.
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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) | 0.000 | 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 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".