Role of Exosomal Intercellular Communications in Diabetic Vascular Complications in Experimental Animals
Bibliographic record
Abstract
Background: Cardiovascular complications are the main cause of death in diabetic patients. Intercellular communications may link diabetes to the cardiovascular complications. Exosomes are now emerging as a key mediator of intercellular communications. Aim: This study aimed to study the possible role of intercellular communications between adipose derived stem cells (ASCs) and vascular smooth muscle cells (VSMCs) in the development of diabetic vascular complications. Methods: To create an in vitro model which can mimic diabetic conditions, primary mouse ASCs from mouse aortic perivascular adipose tissue (PVAT) were treated with a cocktail of LPS, high glucose and Palmitate. ASCs conditioned medium were collected, and exosomes were isolated. Migratory capacity of vascular smooth muscle cells (VSMCs) incubated with ASCs derived exosomes were assessed via scratch assay. Results: Exosomes derived from our in vitro model of ASCs promoted migration of VSMCs. Conclusion: These data suggest an association between diabetes and progression of vascular dysfunction via intercellular communications mediated by exosomes derived from perivascular adipose tissue.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".