FGF23-Induced Hypophosphatemia Persists in <b><i>Hyp</i></b> Mice Deficient in the WNT Coreceptor Lrp6
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Bibliographic record
Abstract
Deregulated phosphate homeostasis can lead to a wide range of disorders, including myopathy, cardiac dysfunction, and skeletal abnormalities. Therefore, characterization of the molecular regulation of phosphate metabolism is of pathophysiological and clinical significance. Hyp mouse is the model for human X-linked hypophosphatemia which is due to mutations that inactivate the endopeptidases of the X chromosome (PHEX). PHEX inactivation leads to increased serum levels of fibroblast growth factor 23 (FGF23), a phosphaturic hormone that induces excessive renal phosphate excretion and severe hypophosphatemia. The expression of WNT signaling components is increased in Hyp mice. To determine the potential role of WNT signaling in FGF23-mediated hypophosphatemia, we cross-bred Hyp mice with mice deficient in the WNT coreceptor low-density lipoprotein receptor-related protein 6 (Lrp6) to generate Hyp and Lrp6 double mutant mice (Hyp/Lrp6). Like Hyp mice, Hyp/Lrp6 double mutants maintained high serum levels of FGF23, and accordingly exhibited hypophosphatemia to the same degree as the Hyp mice did, indicating that genetically reducing WNT signaling does not impact FGF23-induced phosphaturia. Moreover, similar to Hyp mice, the Hyp/Lrp6 double mutants also exhibited reduced mineralization of the bone, further supporting that reduced WNT signaling does not affect the chronic phosphate wasting caused by excess FGF23 in these mice. In further support of our finding, injection of bioactive FGF23 protein into Lrp6 mutant mice reduced serum phosphate levels to a similar degree as FGF23 injection into wild-type mice. Our in vivo studies provide genetic and pharmacological evidence for a WNT-independent function of FGF23 in the regulation of phosphate homeostasis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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 it