Circadian Regulation of Electrolyte and Water Transport in the Rat Kidney
Bibliographic record
Abstract
Abstract. Circadian oscillations have been reported in major renal functions such as renal blood flow, glomerular filtration rate, and urinary excretion. These oscillations can be explained, in part, by the rhythmic variations in renal transporter expressions. However, given that a multitude of renal transporters are regulated by the circadian clock, and that the functions of some of these transporters are coupled, the underlying mechanisms that link variations in transporter expression to the observed changes in kidney function have yet to be fully elucidated. To better understand the impact of the circadian clock on renal solute and water transport, we have developed a computational model of the epithelial transport of the rat kidney that represents the observed rhythmic variations in glomerular filtration rate (GFR) and in the activities of Na[Formula: see text]/H[Formula: see text] exchanger 3, sodium-gLucose cotransporter 1, epithelial Na[Formula: see text] channels, pendrin, and renal outer-medullary K[Formula: see text] channels. The model predicts the rhythmic oscillations in GFR and key renal transporter activities give rise to a significant shift in transport loads among different nephron segments. Together, these oscillations yield 3-4-fold daily fluctuations in urine output and urinary electrolyte excretion rates.
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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".