Macroencapsulation Device with Anti-inflammatory Membrane Modification Enhances Long-Term Viability and Function of Transplanted β Cells
Bibliographic record
Abstract
Treating type 1 diabetes (T1D) through β-cell macroencapsulation is a promising long-term solution, but it faces challenges such as immune-mediated fibrosis on the capsule surface, which impairs cell functionality and compromises longevity and effectiveness. This study presents an approach for including an anti-inflammatory molecule on the macroencapsulation device (MED) using initiated chemical vapor deposition for the surface modification of poly(tetrafluoroethylene) (PTFE) membranes. The surface-modified MEDs significantly reduced fibrosis, improved β-cell viability and functionality, and promoted M2 macrophage polarization, which is associated with anti-inflammatory effects. This MED displayed improved glycemic control in a streptozotocin-induced diabetic mouse model for 45 days. The findings underscore the potential of surface-modified MEDs for improving T1D management by mitigating inflammation and enhancing the therapeutic efficacy of β-cell encapsulation.
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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".