Neural regulation of bone mineral homeostasis : new insights from fish
Bibliographic record
Abstract
Diseases and malformations are ones of the major hurdles for the developing aquaculture industry. Thus, despite the improved methodologies for farming of marine and fresh water fish species, egg and larval viability in some species is still very low as a consequence of a high incidence of dystrophies. Often skeletal pathologies may be a combination of several deformities, however, neck, vertebral, and spinal disorders are most prevalent. Many times the dystrophies are not immediately apparent (or detected) leading to wasteful use of food, energy, space and human resources until dystrophic fish are graded and removed. Previous studies suggest that malformations are induced in early stages during the embryonic and larval periods of life, although the causes and mechanisms responsible are not well understood. It has been proposed that alteration of skeletal development is probably a result of complex interactions between genetic, nutritional and environmental factors. Currently, there is scanty information about the development and metabolism of bone in fish species. Specifically, we will focus on Pth4 (PTHL, parathyroid hormone like), a discovered member of PTH family of peptides that are known to play critical roles in phosphate and calcium homeostasis and bone development in human and other vertebrates. Most studies have tried to provide insights about peptide-receptor interaction for several ligands from the PTH family to understand and treat disorders of bone and mineral metabolism. Pth4 (PTHL) gene was identified and isolated for the first time in the teleost Takifugu rubripes and then in other vertebrates like Xenopus and chicken, with the exception of placental mammals. We aim to characterize the function of Pth4 (PTHL) and its genetic regulation as a possible gene involved on the skeletal development in zebrafish.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".