Improved Glucose Homeostasis Following Vertical Sleeve Gastrectomy is Associated with Alternate Wiring of the Liver Molecular Clock in a Rat Model of Spontaneously-Occurring Type 2 Diabetes
Bibliographic record
Abstract
Abstract Bariatric surgery is associated with remission of type 2 diabetes (T2D). We aimed to advance fundamental understanding of mechanisms involved in improved glucose homeostasis following vertical sleeve gastrectomy (VSG). We carried out a series of pathophysiological, behavioural and liver transcriptome analyses in lean rats of the Goto-Kakizaki (GK) model of polygenic T2D following VSG or sham operation. VSG and resulting sustained reduction in glucose intolerance were associated with significant changes in liver histology and lean mass, and nycthemeral feeding patterns and activity. Liver transcriptome profiling identified differentially regulated pathways between VSG and sham GK, including inflammatory and immune processes and fatty acid metabolism. Deeper analysis of the transcriptome dataset showed that expression of almost all main regulators of the molecular clock was significantly and co-ordinately affected by VSG. Comparisons with liver transcriptome data previously generated in GK and normoglycemic rats suggested that VSG results in a profound remodelling of the regulation of the molecular clock. Our findings shed light on relationships between the molecular clock and nycthemeral feeding and activity, which may contribute to long-term therapeutic consequences of VSG in the context of polygenic T2D in the absence of confounding effects of obesity.
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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 | 0.001 |
| 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".