E-Cadherin Is Important in the In Vitro Postnatal Development and Function of Pig Islets
Bibliographic record
Abstract
Background: Pig islets have the potential to address the limited supply of human islets available for transplantation. However, the knowledge of the biology of pig islets is currently limited. Thus, this study evaluated the molecules involved in cell-to-cell adhesion and insulin secretion pathways during the in vitro development of neonatal pig islets to understand the tissue we hope to use as a possible solution to the shortage of human islets for transplantation. Methods: Through RT-qPCR, immunoassays, and assessments of islet function, we explored the expression of E-cadherin and its correlation with the molecules involved in the insulin secretion pathway including GTPase, RAC1, and the membrane fusion protein SNAP25 during neonatal pig islet development. Results: Despite no significant difference observed in gross morphology and viability, as well as variable expression of RAC1, insulin, and SNAP25 in islets from 1-, 3-, and 7-day-old neonatal pigs, there was an apparent trend towards improved function in islets obtained from 3- and 7-day-old pigs compared with 1-day-old pigs. In the presence of 30 mM KCl, the amount of insulin secreted by islets from 3- and 7-day-old pigs but not from 1-day-old pigs was increased. Disruption of E-cadherin interactions with monoclonal antibodies resulted in decreased insulin secretion capacity of islets from 3-day old pigs. Conclusions: Our results show that blocking E-cadherin interactions with monoclonal antibodies resulted in disrupted peri-islet capsule and impaired islet insulin secretion under high glucose conditions. Thus, E-cadherin is important in the in vitro postnatal development and function of pig islets.
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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 | 0.001 |
| 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".