Nck1 deficiency accelerates unloading‐induced bone loss
Bibliographic record
Abstract
Mechanical stress is an important signal to determine the levels of bone mass. Unloading-induced osteoporosis is a critical issue in bed-ridden patients and astronauts. Many molecules have been suggested to be involved in sensing mechanical stress in bone, though the mechanisms involved in this phenomenon are not fully understood. Nck1 is an adaptor protein known to mediate signaling from plasma membrane-activated receptors to cytosolic effectors regulating actin cytoskeleton remodeling. Nck1 has also been implicated in cellular responses to endoplasmic reticulum stress. In vitro, in case of cell stress the actin cytoskeleton is disrupted and in such cases Nck1 has been reported to enter the nucleus of the cells to mediate the nuclear actin polymerization. However, the role of Nck1 in vivo during the bone response to mechanical stimuli is unknown. The purpose of this study is to examine the role of Nck1 in unloading-induced bone loss in vivo. Sciatic and femoral nerve resection was conducted. Neurectomy-based unloading enhanced Nck1 gene expression in bone about twofold. Using the Nck1 deficient mice and control Nck1+/+, effects of neurectomy-based unloading on bone structure were examined. Unloading reduced bone volume in wild type mice by 30% whereas the levels in bone loss were exacerbated to 50% in Nck1 deficient mice due to neurectomy after 4 weeks. These data demonstrate that Nck1 gene deficiency accelerates the mechanical unloading-induced bone loss suggesting Nck1 to be a crucial molecule in mechanical stress mediated regulation in bone metabolism.
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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) | 0.000 | 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) | 0.000 | 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".