Bibliographic record
Abstract
O research is focused on the brain mechanisms triggering overeating of palatable sweet foods and the neuronal and metabolic consequences of this overeating. To investigate the molecular, neuronal and metabolic aspects of sweet diets, we use the rat models subjected to the diets containing palatable sweet ingredients. Our experiments show that intake of the sweet palatable food by rats exponentially increases in spite of detrimental metabolic consequences which include accumulation of fat and development of obesity. In the brain, repeated consumption of sucrose displaced the neuronal pre-prandial activity from the medial hypothalamic region, the dorsomedial hypothalamic nucleus (DMH) and the paraventricular hypothalamic nucleus (PVN), to the brain arias involved in reward, the nucleus accumbens (Acb) and the prefrontal cortex (PF). Suppression of activity of the medial hypothalamus by sucrose was confirmed in the experiments testing the effects of consumption of sucrose on the reaction to restraint stress in rats. The animals with a given choice to consume sucrose along with rat chow provided ad libitum showed lower expression of the mRNA of a stress neurohormone, corticotropin-releasing factor, in the PVN and lower levels of plasma corticosterone in response to 1-h stress session. Therefore, consumption of sucrose may dampen the neuronal and hormonal response to stress that explains why sweets may be consumed as ‘comforting’ food. On the other hand, displacement of neuronal pre-prandial activity from the medial hypothalamus to the reward areas by sucrose suggests that regulation of sucrose intake may escape from the homeostatic control.
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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 | 0.000 | 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 | 0.000 |
| 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".