Exploring the anti‐diabetic effect of duodenojejunal bypass: a novel mouse model
Bibliographic record
Abstract
Obese patients with Type 2 diabetes who underwent bariatric surgery reverted to normal blood glucose and insulin levels and developed a dramatic increase in insulin sensitivity without continued use of diabetic medication. The mechanisms involved in this reversal are not known although the data suggest that alteration of factors such as glucagon‐like peptide‐1 (GLP‐1) produced by the upper intestinal tract is involved. Currently, no studies have focused on a non‐diabetic DJB animal model to determine its importance of the duodenum and proximal jejunum in maintaining normal glucose homeostasis. Normal C57BL/6J mice underwent duodenojejunal bypass (DJB), a surgery in which the distal end of the jejunum was connected to a small portion of the duodenum just distal to pylorus and bilopancreatic secretions where directed to the distal jejunum. Normal‐fed mice undergoing DJB display diabetic‐like pancreatic morphology. These mice showed a decrease in the percent area of beta‐cells (33%) as well as a decrease in beta‐cell proliferation (50%) compared to sham‐operated controls. However, surviving beta‐cells showed similar levels of pancreatic duodenal homeobox‐1 (Pdx‐1), GLUT‐2 expression, and similar beta‐cell size between DJB and sham‐operated groups. These results suggest the importance of the duodenum in maintaining an anti‐diabetic state in the normal mouse. Funded by Lawson Health Research Institute. Grant Funding Source Lawson Health Research Institute
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".