In Vivo Performance and Biocompatibility of a Subcutaneous Implant for Real-Time Glucose-Responsive Insulin Delivery
Bibliographic record
Abstract
An implantable, glucose-responsive insulin delivery microdevice was reported previously by our group, providing rapid insulin release in response to hyperglycemic events and efficacy in vivo over a 1-week period when implanted intraperitoneally in rats with diabetes. Herein, we focused on the improvement of the microdevice prototype for long-term glycemic control by subcutaneous (SC) implantation, which allows for easy retrieval and replacement as needed. To surmount the strong immune response to the SC implant system, the microdevice was treated by surface modification with high-molecular-weight polyethylene glycol (PEG). In vitro glucose-responsive insulin release, in vivo efficacy, and biocompatibility of the microdevice were studied. Modification with 20-kDa PEG chains greatly reduced the immune response without a significant change in glucose-responsive insulin release in vitro. The fibrous capsule thickness was reduced from approximately 1,000 μm for the untreated devices to 30-300 μm for 2-kDa PEG-treated and to 30-50 μm for 20-kDa PEG-treated devices after 30 days of implantation. The integrity of the glucose-responsive bioinorganic membrane and the resistance to acute and chronic immune response were improved with the long-chain 20-kDa PEG brush layer. The 20-kDa PEG-treated microdevice provided long-term maintenance of euglycemia in a rat model of diabetes for up to 18 days. Moreover, a consistent rapid response to short-term glucose challenge was demonstrated in multiple-day tests for the first time on rats with diabetes in which the devices were implanted. The improvement of the microdevice is a promising step toward a long-acting insulin implant system for a true, closed-loop treatment of diabetes.
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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) | 0.001 | 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".