Obesity: Homeostatic Regulation and Hedonic Aspect of Food Intake
Bibliographic record
Abstract
Compelling evidence supports the primary role of the diet and metabolic regulation of food intake in the establishment of metabolic diseases. This review describes the hypothalamic and brainstem structures involved in the control of food intake. The arcuate nucleus (AN) is a metabolic relay receiving the metabolic signals from the periphery and projecting to the paraventricular nucleus (PVN) and lateral hypothalamus (LH), which are involved in the sensation of satiety and hunger, respectively. Also, the role of the solitary tract nucleus (STN) in the regulation of food intake is discussed herein. Food intake is not controlled only by the structures associated with the vegetative life but also by structures of hedonism that often incites individuals to consume palatable foods. The emotion towards the food created at the level of the central amygdala (CeA) arrives at the nucleus accumbens (Nacc), which projects to the ventral tegmental area (VTA) in order to increase the production of dopamine that is suppressed by the prefrontal cortex (PFC). This review addresses the intervention of these structures in food intake by evoking the state of addiction to the diet observed in people with obesity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".