Caffeine-induced natriuresis and diuresis via blockade of hepatic adenosine-mediated sensory nerves and a hepatorenal reflex
Bibliographic record
Abstract
The hepatorenal reflex, activated by intrahepatic adenosine, is involved in the regulation of urine production in healthy rats and renal pathogenesis secondary to liver injury. Hepatic adenosine A1 receptors regulate the hepatorenal reflex. The aim of the present study was to evaluate whether caffeine mediates renal natriuresis and diuresis in healthy and diseased liver through this mechanism. Rats were anesthetized and instrumented to monitor systemic, hepatic, and renal circulation and urine production. Intrahepatic (intraportal but not intravenous) caffeine (5 mg·kg-1) increased urine flow (~82%) in healthy rats. This effect was abolished by liver denervation. Intraportal infusion of adenosine decreased urine production, and this response was abolished by intraportal but not intravenous caffeine. Liver injury was induced by intraperitoneal injection of thioacetamide (500 mg·kg-1), and functional assessment was performed 24 h later. Liver injury was associated with lower (~30%) glomerular filtration rate, lower (~18%) renal arterial blood flow, and lower urine production. Intraportal but not intravenous caffeine improved basal urine production and renal ability to increase urine production in response to saline overload. The liver-dependent diuretic effect of caffeine is consistent with the hypothesis for the adenosine-mediated mechanism of hepatorenal syndrome.
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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 | 0.000 |
| 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".