Long-term diabetic hyperglycaemia modifies social behaviour in rats
Bibliographic record
Abstract
Diabetes is a known risk factor for cognitive decline and mood disorders. However, the effects of long-term diabetic hyperglycaemia on the various dimensions of social behaviours, such as play or aggression, remains to be fully elucidated. In this study, we evaluated the social behaviour in a nicotinamide-streptozotocin rat model of long-term diabetic hyperglycaemia, in the absence of glucose-lowering treatments. Five months following induction of hyperglycaemia, we scored affiliative/exploratory or aggressive social interactions between pairs of unacquainted rats in a neutral arena. Our results demonstrate alterations in the behaviour of long-term diabetic rats faced with social novelties. Specifically, diabetic hyperglycaemic rats engaged in hyper-sociable and hyper-aggressive encounters. Interestingly, social interactivity was not associated with the degree of hyperglycaemia in affiliative/exploratory or in aggressive social interactions, in our long-term diabetic rat model. Altogether, our data suggest a lack of social appropriateness in long-term diabetic hyperglycaemic rats which is independent of the degree of hyperglycaemia. These findings support the importance of a tight glycaemic control in the management of diabetes at every stage of the disease and enlighten the importance of impaired glycaemic control as a novel metabolic player impacting the neural networks of social behaviours. • Hyperglycaemia modifies social behaviour in rats. • Social interactivity was not associated with the degree of hyperglycaemia in affiliative/exploratory or in aggressive social interactions, in a long-term diabetic rat model, without glucose-lowering treatments. • Impaired glycaemic control may be a novel metabolic player impacting the neural networks of social behaviours.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".