Method for isolation of pancreatic blood vessels, their culture and coculture with islets of langerhans
Bibliographic record
Abstract
The only cure available for Type 1 diabetes involves the transplantation of islets of Langerhans isolated from donor organs. However, success rates are relatively low. Disconnection from vasculature upon isolation and insufficient rate of revascularization upon transplantation are thought to be a major cause, as islet survival and function depend on extensive vascularization. Research has thus turned toward the development of pretransplantation culture techniques to enhance revascularization of islets, so far with limited success. With the aim to develop a technique to enhance islet revascularization, this work proposes a method to isolate and culture pancreas-derived blood vessels. Using a mild multistep digestion method, pancreatic blood vessels were retrieved from whole murine pancreata and cultured in collagen Type 1. After 8 days, 50% of tissue explants had formed anastomosed microvessels which extended up to 300 μm from the explant tissue and expressed endothelial cell marker CD31 but not ductal marker CK19. Cocultures with islets of Langerhans revealed survival of both tissues and insulin expression by islets up to 8 days post-embedding. Microvessels were frequently found to encapsulate islets, however no islet penetration could be detected. This study reports for the first time the isolation and culture of pancreatic blood vessels. The methods and results presented in this work provide a novel explant culture model for angiogenesis and tissue engineering research with relevance to islet biology. It opens the door for in vivo validation of the potential of these pancreatic blood vessel explants to improve islet transplantation therapies. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 35: e2745, 2019.
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 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".