Evaluation of hepatic glucose metabolism via gluconeogenesis and glycogenolysis after oral administration of insulin nanoparticles
Bibliographic record
Abstract
Nanoparticles were designed to promote insulin intestinal absorption via the oral route, to increase portal insulin levels to better mimic the physiological pathway, providing enhanced glucose control through glycogenolysis and gluconeogenesis. Nanoparticles were formulated with insulin encapsulated in the core material consisting of alginate and dextran sulfate, associated with poloxamer and subsequently coated with chitosan then albumin. A spherical and slightly rough core was observed in electron micrographs with the appearance of a concentration gradient of the polysaccharide structure toward the periphery of the nanoparticle. Atomic force microscopy showed that the fully formed nanoparticles are about 200 nm in diameter with smooth and spherical morphology. Histopathological analysis of organs and tissues of diabetic rats dosed daily for 15 days with insulin nanoparticles was used to evaluate toxicological issues. No morphological or pathological alterations were observed in rat liver, spleen, pancreas, kidney or intestinal sections. Following, the effect of nanoencapsulated insulin on inhibiting hepatic gluconeogenesis was evaluated after a single insulin administration and oral glucose tolerance test, which represents a significant metabolic challenge to the liver. Alterations in the hepatic glucose metabolism of fasted streptozotocin-diabetic rats were determined by the percent contribution of glycogenolysis and gluconeogenesis, measured by using metabolic tracers, however similar gluconeogenesis contribution to the hepatic metabolism was observed between diabetic rats receiving nanoencapsulated insulin or insulin solution. The metabolic results may be explained by the inability of a single dose in shifting the gluconeogenesis/glycogenolysis contributions, sampling time, fasting period or by influence of the kidney enzymes and impairment in insulin signaling observed in stz-diabetic rats.
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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".