Diabetes Perturbs Bone Microarchitecture and Bone Strength through Regulation of Sema3A/IGF-1/β-Catenin in Rats
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Bibliographic record
Abstract
PURPOSE: Increasing evidence supported that semaphorin 3A (Sema3A), insulin-like growth factor (IGF)-1 and β-catenin were involved in the development of osteoporosis and diabetes. This study is aimed to evaluate whether Sema3A/IGF-1/β-catenin is directly involved in the alterations of bone microarchitecture and bone strength of diabetic rats. METHODS: Diabetic rats were induced by streptozotocin and high fat diet exposure. Bone microarchitecture and strength in the femurs were evaluated by micro-CT scanning, three-point bending examination and the stainings of HE, alizarin red S and safranin O/fast green, respectively. The alterations of lumbar spines microarchitecture were also determined by micro-CT scanning. Western blot and immunohistochemical analyses were used to examine the expression of Sema3A, β-catenin, IGF-1, peroxisome proliferator-activated receptor γ (PPARγ) and cathepsin K in rat tibias. RESULTS: Diabetic rats exhibited decreased trabecular numbers and bone formation, but an increased trabecular separation in the femurs and lumbar spines. Moreover, the increased bone fragility and decreased bone stiffness were evident in the femurs of diabetic rats. Diabetic rats also exhibited a pronounced bone phenotype which manifested by decreased expression of Sema3A, IGF-1 and β-catenin, as well as increased expression of cathepsin K and PPARγ. CONCLUSIONS: This study suggests that diabetes could perturb bone loss through the Sema3A/IGF-1/β-catenin pathway. Sema3A deficiency in bone may contribute to upregulation of PPARγ and cathepsin K expression, which further disrupts bone remodeling in diabetic rats.
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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 | 0.000 | 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 | 0.001 |
| 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 it