Metabolic and neuroendocrine effects on diurnal urea excretion in the mangrove killifish<i>Rivulus marmoratus</i>
Bibliographic record
Abstract
In mangrove killifish Rivulus marmoratus, urea excretion (J(urea)) follows a distinct diurnal pattern with the highest rates between 12:00 h and 18:00 h. We investigated the regulating mechanisms that underlie temporal rhythms in J(urea) in R. marmoratus. We hypothesized that the daily pattern of J(urea) in R. marmoratus is (1) due to diurnal changes in urea synthesis rates and ultimately metabolic rate and/or (2) controlled by neuroendocrine messengers. Oxygen consumption and whole body urea content in R. marmoratus demonstrated a clear diurnal pattern with maximum rates for both parameters occurring at 12:00 h. A strong synchrony between diurnal patterns of oxygen consumption, whole body urea content and J(urea) implicated metabolic regulation of the diurnal J(urea) pattern. Ketanserin, a 5-HT(2) receptor antagonist, and RU-486, a cortisol receptor antagonist, were used to test the second hypothesis. Increasing antagonist concentrations of either ketanserin or RU-486 resulted in dose-dependent decreases in J(urea). Application of a single dose of either antagonist significantly decreases J(urea) for up to 12 and 6 h for ketanserin and RU-48, respectively. Repeated exposure to doses of either ketanserin or RU-486 did not abolish the diurnal pattern in J(urea); however, there was a significant decrease in the amplitude of the rates. Taken together, these findings indicate that the diurnal pattern of J(urea) in R. marmoratus are regulated by both metabolic and neuroendocrine factors. We propose that cortisol and 5-HT influence the absolute rate of urea excretion by altering the permeability of the gill membrane to urea and/or the rate of urea synthesis.
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 | 0.000 |
| 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".