Increased lipolysis after infusion of acylated ghrelin: a randomized, double‐blinded placebo‐controlled trial in hypopituitary patients
Bibliographic record
Abstract
Abstract Context Acylated ghrelin increases growth hormone (GH) and adrenocorticotrophic hormone (ACTH) secretion from the anterior pituitary gland. Additionally, it increases free fatty acid levels independently of GH and ACTH, but the impact of ghrelin on fatty acid turnover has not been determined. This study was designed to test whether acylated ghrelin directly increases the turnover rate of fatty acids. Design Eight hypopituitary patients on stable replacement with GH and hydrocortisone were included in a randomized, double‐blinded, placebo‐controlled crossover study including two study days: (a) infusion of acylated ghrelin and (b) infusion of saline. The study day comprised a basal period ( t = 0‐120 minutes) and a hyperinsulinaemic‐euglycemic clamp period ( t = 120‐300 minutes). Whole‐body lipolysis was estimated at t = 90‐120 and t = 270‐300 minutes with a palmitate isotope dilution technique. Results Infusion of acylated ghrelin resulted in 10 times increased total ghrelin area under the curve (AUC) levels in the basal period and 15 times increased AUC levels in the clamp period compared with saline infusion ( P < .001). GH AUC levels were largely unaffected by ghrelin compared to saline infusion during both the basal and clamp period, but cortisol AUC levels increased by 15% after ghrelin compared to saline infusion in the basal period ( P = .03). Palmitate turnover was increased by 43% in the basal period (difference: 77 (20) µmol/min, P = .01) and unchanged in the clamp period (difference 0.9 (17) µmol/min, P = 1.0) after ghrelin compared to saline infusion. Conclusions Our results support the hypothesis that pharmacological levels of acylated ghrelin directly activate lipolysis at the whole‐body level.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".