Elucidating the Biological Roles of Insulin and Its Receptor in Murine Intestinal Growth and Function
Bibliographic record
Abstract
The role of the intestinal insulin receptor (IR) is not well understood. We therefore explored the effect of insulin (300 nmol/kg per day for 12 days) on the intestine in sex-matched C57Bl/6J mice. The intestinal and metabolic profiles were also characterized in male and female intestinal-epithelial IR knockout (IE-irKO) mice compared with all genetic controls on a chow diet or Western diet (WD) for 4 to 12 weeks. Insulin treatment did not affect intestinal size, intestinal resistance, or metabolic genes, but it reduced proximal-colon crypt depth and acutely increased colonic serine/threonine-specific protein kinase B (AKT) activation. Feeding with a WD increased body weight and fasting insulin level and decreased oral glucose tolerance in C57Bl/6J and IE-irKO mice. However, although the overall responses of the IE-irKO mice were not different from those of Villin-Cre (Vil-Cre):IRfl/+ and IRfl/fl controls, profound differences were found for female control Vil-Cre mice, which demonstrated reduced food intake, body weight, jejunal glucose transport, oral glucose tolerance, and fasting insulin and cholesterol levels. Vil-Cre mice also had smaller intestines compared with those of IE-irKO and IRfl/fl mice and greater insulin-mediated activation of jejunal IR and AKT. In summary, gain- and loss-of-function studies, with and without caloric overload, indicate that insulin did not exert remarkable effects on intestinal metabolic or morphologic phenotype except for a small effect on the colon. However, the transgenic control Vil-Cre mice displayed a distinct phenotype compared with other control and knockout animals, emphasizing the importance of thoroughly characterizing genetically modified mouse models.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".