The effects of GH replacement in adult GH‐deficient patients: changes in body composition without concomitant changes in the adipokines and insulin resistance
Bibliographic record
Abstract
BACKGROUND: Growth hormone deficiency (GHD) in adult life has been associated with increased central adiposity, decreased insulin sensitivity, dyslipidaemia and increased risk of cardiovascular disease. The effects of GH replacement on adiponectin and resistin, adipokines which have a role in modulating insulin sensitivity have not been previously reported. AIM: To examine the effects of GH replacement on adipokine levels and insulin resistance in GHD patients. DESIGN: Seventeen adult GHD patients were examined at baseline and after 1 year of treatment with recombinant human GH (mean dose 0.31 mg/day, range 0.13-0.67 mg/day). RESULTS: GH replacement significantly increased IGF-I levels. The mean IGF-I SD score increased from -1.98 at baseline to 0.76 at study end. GH replacement was associated with a significant reduction in percentage body fat (34.11 +/- 1.33 vs. 30.65 +/- 1.27%, P < 0.0005) and a significant increase in lean body mass (63.57 +/- 1.24 vs. 66.96 +/- 1.18%, P < 0.0004), before and after treatment, respectively. Surprisingly, there was no effect of GH replacement on the plasma levels of leptin, resistin or adiponectin or on plasma lipid profile. Insulin sensitivity did not deteriorate during GH replacement despite the known 'anti-insulin' effect of GH. Fasting glucose, insulin and insulin resistance as calculated using the homeostasis model assessment insulin resistance index (HOMA-R) were unchanged by GH treatment. CONCLUSION: These data demonstrate GH replacement in adult subjects with GHD is effective in changing body composition and restoring IGF-I levels over a 12-month period; however, in our study, these changes were not accompanied by changes in adipokine levels or beneficial effects on plasma lipids or insulin resistance.
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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 | 0.001 |
| 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 | 0.000 |
| 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".