Inhibition of calcium uptake during hypoxia in developing zebrafish, <i>Danio rerio,</i> is mediated by hypoxia-inducible factor
Bibliographic record
Abstract
The present study investigated the potential role of hypoxia-inducible factor (HIF) on calcium homeostasis in developing zebrafish (Danio rerio). It was demonstrated that zebrafish raised in hypoxic water (30 mmHg; control=155 mmHg) until 4 days post fertilisation exhibited a substantial reduction in whole body Ca2+ levels and Ca2+ uptake. Ca2+ uptake in hypoxia-treated fish did not return to pre-hypoxia (control) levels within 2 h after transferring back to normoxic water. Results from real-time PCR showed that hypoxia decreased the whole body mRNA expression levels of the epithelial Ca2+ channel (ecac), but not plasma membrane Ca2+-ATPase (pmca2) nor Na+/Ca2+-exchanger (ncx1b). Whole-mount in situ hybridization revealed that the number of ecac-expressing ionocytes was reduced in fish raised in hypoxic water. These findings suggested that hypoxic treatment suppressed the expression of ecac, thereby reducing Ca2+ influx. To further evaluate the potential mechanisms for the effects of hypoxia on Ca2+ regulation, a functional gene knockdown approach was employed to prevent the expression of HIF-1αb during hypoxic treatment. Consistent with a role for HIF-1αb in regulating Ca2+ balance during hypoxia, the results demonstrated that the reduction of Ca2+ uptake associated with hypoxic exposure was not observed in fish experiencing HIF-1αb knockdown. Additionally, the effects of hypoxia on reducing the number of ecac-expressing ionocytes was less pronounced in HIF-1αb deficient fish. Overall, the current study revealed that hypoxic exposure inhibited Ca2+ uptake in developing zebrafish, likely owing to HIF-1αb-mediated suppression of ecac expression.
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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".