191-LB: Artesunate Treatment Improves Hyperglycemia in a Rodent Model of Gestational Glucose Intolerance without Increasing Beta-Cell Mass
Bibliographic record
Abstract
Gestational diabetes (GDM) has been associated with a failure to adequately increase maternal β-cell mass (BCM) during pregnancy. The anti-malarial drugs, artemisinins, have been shown to improve glucose homeostasis in rodent models of diabetes by increasing BCM. Our objective was to reverse BCM deficiency and impaired glucose tolerance in a mouse model of GDM using the artemisinin artesunate. In order to produce glucose intolerance in pregnancy, female mice (F0) were fed a low protein (8%, LP) diet during gestation and lactation, and offspring weaned onto control (20%, C) diet. At 6-10 weeks age female offspring (F1) were time-mated and given C diet throughout pregnancy. Artesunate was administered via drinking water from gestational day (GD) 0.5-6.5. We previously found glucose intolerance, mimicking aspects of GDM, in LP-exposed offspring at GD18 when compared to animals fed a C diet. Thus, glucose tolerance tests (GTT) were performed at GD18 or for non-pregnant age-matched animals. Subsequently, pancreata were removed for fluorescence immunohistochemistry to assess histology. Artesunate-treated LP females had a lower area under the curve during a GTT (389.9±52.3mmol/L*min) compared to non-treated LP females at GD18 (726.6±56.9mmol/L*min, p<0.01). Furthermore, artesunate-treated LP females had improved glucose homeostasis at 5min (9.1 vs. 18.9mmol/L), 15min (11.6 vs. 20.9mmol/L) and 30min (10.2 vs. 19.2mmol/L) during the GTT compared to non-treated LP females at GD18 (p<0.05). There were no significant differences in BCM, alpha-cell mass, or mean islet size between LP and artesunate-treated LP females at GD18. The results show that artesunate-treated LP pregnant females had significantly improved glucose homeostasis compared to untreated LP mice at GD18. However, the improved glucose tolerance was not associated with increased BCM or changes in endocrine pancreas morphology. Disclosure S. Szlapinski: None. D.J. Hill: None. Funding St. Joseph's Health Care Foundation; Ontario Graduate Scholarship
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".