Chronic Hypoxia Exposure of Trout Embryos Alters Swimming Performance and Cardiac Gene Expression in Larvae
Bibliographic record
Abstract
Hypoxia exposure during embryonic development of rainbow trout causes developmental delay and bradycardia and alters the ontogeny of cardiac regulatory control mechanisms. The purpose of this study was to characterize how hypoxia exposure from the day of fertilization until stage 34 (57 d postfertilization) affects the aerobic fitness and growth of the hatched fish at multiple stages. In addition, we characterized the expression of gene transcripts for seven troponin I (TnI) isoforms to examine the effect of hypoxia treatment on cardiac muscle development. Results demonstrate that the critical swimming speed of the hypoxia-exposed fish was significantly less than that of the control group at stage 35 and the fry stage. Growth was reduced in the hypoxia-treated fish between stages 35 and 37, as was the relative lipid content at stage 37. Finally, six TnI isoforms were found in all hearts. One of these isoforms, RTcTnI, decreased in abundance between stage 35 and the fry stage, but hypoxia-exposed fish had higher levels than did controls at the fry stage. The abundance of AScTnI2 was significantly lower in hypoxia-exposed fry fish than in controls. These results indicate that chronic hypoxia exposure during embryonic development has long-term consequences on aerobic fitness, growth, and cardiac gene expression following hatch.
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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".