Establishment of duodenojejunal bypass surgery in mice: A model designed for diabetic research
Bibliographic record
Abstract
We have developed a mouse duodenojejunal bypass (DJB) surgical model that is for studying the effects of bariatric surgery on glucose homeostasis and has potential to impact clinical therapy of diabetes. The operation consists of using the majority of the duodenum and proximal part of the jejunum for biliopancreatic diversion. The distal end of the jejunum is anastomosed in an end-to-end fashion to the remaining proximal end of the duodenum just distal to the pylorus. The biliopancreatic secretions are diverted into the distal jejunum through an end-to-side anastomosis. We performed 10 DJB operations in C57BL/6 mice, with a 100% survival rate. The surgery had no effect on the growth or feeding patterns of the animals. The intestinal mucosa showed normal histology and function. This study confirms that it is technically possible to perform DJB surgery in mice. This mouse model can be used in the study of surgical treatment for type II diabetes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".