Ghrelin Resistance Occurs in Severe Heart Failure and Resolves After Heart Transplantation
Bibliographic record
Abstract
AIMS: Severe heart failure (HF) is often associated with cachexia that reverses post-heart transplantation (HTx) with frequent development of obesity. Ghrelin is a novel appetite-stimulating hormone. The aim was to determine the role of ghrelin in regulating appetite, food intake, and body composition in HF and post-HTx. METHODS AND RESULTS: We measured serial ghrelin, hunger sensation, caloric intake, and body composition in 12 HF patients awaiting HTx, 12 patients 12.7 +/- 8.6 months post-HTx, and 7 controls. Seven of 12 HF patients were followed for longitudinal analysis post-HTx. Body mass index was 23.1 +/- 3.1 in HF and 31.5 +/- 5.5 post-HTx (P < 0.001). Heart transplantation patients had gained 18.0 +/- 7.7 kg since HTx. Ghrelin area under the curve between controlled meals (control: 186 +/- 39; HF: 264 +/- 71; HTx: 194 +/- 47 ng min/mL, P < 0.007) was higher in HF, but test meal caloric intake (control: 1185 +/- 650; HF: 391 +/- 103; HTx: 831 +/- 309 kcal, P < 0.008) was lower in HF. The longitudinal analysis confirmed these findings. CONCLUSION: Heart failure may be associated with resistance to the appetite-stimulating effects of ghrelin, which may contribute to cachexia. Heart transplantation may be associated with resolution of ghrelin resistance, which may contribute to weight gain. These findings are preliminary and should be confirmed in larger trials.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 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".