Cardiac preload and venous return in swimming sea bass (<i>Dicentrarchus labrax</i>L.)
Bibliographic record
Abstract
Cardiac preload (central venous pressure, P(CV), mean circulatory filling pressure (MCFP), dorsal aortic blood pressure (P(DA)) and relative cardiac output (Q) were measured in sea bass (Dicentrarchus labrax) at rest and while swimming at 1 and 2 BL s(-1). MCFP, an index of venous capacitance and the upstream venous pressure driving the return of venous blood to the heart, was measured as the plateau in Pcv during ventral aortic occlusion. Compared with resting values, swimming at 1 and 2 BL s(-1) increased Q (by 15+/-1.5 and 38+/-6.5%, respectively), P(CV) (from 0.11+/-0.01 kPa to 0.12+/-0.01 and 0.16+/-0.02 kPa, respectively), MCFP (from 0.27+/-0.02 kPa to 0.31+/-0.02 and 0.40+/-0.04 kPa, respectively) and the calculated pressure gradient for venous return (DeltaP(V), from 0.16+/-0.01 kPa to 0.18+/-0.02 and 0.24+/-0.02 kPa, respectively), but not P(DA). In spite of an increased preload, the increase in Q was exclusively mediated by an increased heart rate (f(H), from 80+/-4 beats min(-1) to 88+/-4 and 103+/-3 beats min(-1), respectively), and stroke volume (Vs) remained unchanged. Prazosin treatment (1 mg kg(-1) Mb) abolished pressure and flow changes during swimming at 1 BL s(-1), but not 2 BL s(-1), indicating that other control systems besides an alpha-adrenoceptor control are involved. This study is the first to address the control of venous capacitance in swimming fish. It questions the generality that increased Q during swimming is regulated primarily through Vs and shows that an increased cardiac filling pressure does not necessarily lead to an increased Vs in fish, but may instead compensate for a reduced cardiac filling time.
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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".