Physiologic hyperleptinemia in obesity does not affect vasopressin secretion in acute hypo- or hyperosmolality
Bibliographic record
Abstract
PURPOSE: Abnormal water excretion after ingestion of a water load has been described in obesity. We hypothesized that AVP secretion is abnormal in obese subjects in acute hypo- and hyperosmolality and that the hormone leptin is partly responsible for this. METHODS: We studied the relation between leptin, AVP and serum osmolality in two separate tests: (1) after ingestion of a water load (20 ml/kg lean body mass plus 5 ml /kg of adipose tissue) and (2) after iv hypertonic saline (5% NaCl) at a rate of 0.1 ml/kg lean body mass/minute for 120 min in ten subjects of normal weight (BMI > 20 and < 25 kg/m2; controls) and ten obese females (BMI > 30 kg/m2). Obese subjects were tested before (98.6 +/- 9.3 kg) and after weight loss (90.2 +/- 8.5 kg). RESULTS: In the water load experiment, obese subjects excreted a smaller percentage of the water load than controls. Weight loss restored the ability to excrete the water load in the obese. In the water load and hypertonic saline infusion experiment, plasma AVP concentrations and the area under the curve (AUC) for AVP concentration were not different in obese from normal weight women. Baseline leptin concentration was not correlated with baseline AVP or the change in AVP during the experiment in any of the groups. Weight loss did not change AVP responses in obese subjects. CONCLUSION: AVP secretion in response to acute hypo- and hyperosmolality is not different in normal weight and obese subjects. There is no correlation between leptin and AVP in normal weight or obese subjects.
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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 | 0.000 |
| 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 | 0.001 |
| 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".