Ghrelin, Peptide YY, Glucose-Dependent Insulinotropic Polypeptide, and Hunger Responses to a Mixed Meal in Anorexic, Obese, and Control Female Adolescents
Bibliographic record
Abstract
To determine whether peptide YY (PYY), ghrelin, glucose-dependent insulinotropic polypeptide (GIP), and satiety responses to food intake are impaired in anorexia or obesity, we studied 30 female adolescents with anorexia nervosa [body mass index (BMI) 16.3 kg/m2], obesity (BMI 34.3 kg/m2), or normal weight (BMI 20.2 kg/m2). PYY, ghrelin, GIP, insulin, and glucose concentrations and four markers of satiety were measured for 240 min after a mixed meal. The area under the curve for glucose was similar in obese (OB) and normal-weight control (C) subjects but was 15% lower in anorexic (AN) subjects. The area under the curve for insulin was 47% lower in AN and 87% higher in OB subjects, compared with C subjects. After the meal, PYY increased significantly in C (+41%, P < 0.05) but not in AN or OB adolescents. Ghrelin concentrations were highest in AN subjects and lowest in the OB group, compared with C subjects and fell significantly by 25% in all three groups. GIP concentrations were lower in AN subjects throughout the test and increased in all three groups after the mixed meal. AN adolescents reported being less hungry than OB and C adolescents. There was a negative correlation between fasting ghrelin (but not PYY or GIP) and BMI and insulin (r2= 0.33) and a positive correlation between the decrease in hunger 15 min after the meal and PYY concentrations at 15 min (r2= 0.20). In conclusion, the blunted PYY response to a meal in OB adolescents suggests that PYY plays a role in the pathophysiology of obesity. Ghrelin is unlikely to play a causal role in anorexia nervosa or obesity. The lower GIP observed in AN subjects despite a similar caloric intake may appropriately prevent an excessive insulin response in these patients.
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 | 0.001 |
| 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".