Bibliographic record
Abstract
The objective was to compare bone mass (bone mineral content [BMC], bone mineral density [BMD]) and biomechanical strength of femurs and lumbar vertebrae from male and female wild-type (WT) and IL-10 knockout (KO) mice to determine if the IL-10 KO mouse model is appropriate for studying inflammation-associated bone abnormalities and potential interventions. Offspring from IL-10 KO and WT mice (n = 15 to 19 mice/gender per group) were studied until 13 weeks of age. IL-10 KO mice had a higher (P < 0.05) colonic histologic injury score and serum proinflammatory cytokines (IL-6, IL-1beta, TNF-alpha) than WT mice. IL-10 KO mice also experienced bone abnormalities as femur and verterbral BMC and BMD were lower (P < 0.05) compared with WT mice. Moreover, some biomechanical strength parameters such as femur yield load (P = 0.057) and resilience (P < 0.05) and peak load of lumbar vertebra 3 (P < 0.05) were lower than WT mice. Due to differences in body size, males had greater (P < 0.05) femur and vertebral bone mass as well as femur weight, length, yield load, resilience, and peak load than females. A significant interaction (genotype x gender) was only observed for femur resilience in which male WT mice had a greater (P = 0.009) resilience than all other groups. These results demonstrate that IL-10 KO mice develop bone abnormalities that accompany intestinal inflammation and elevated serum proinflammatory cytokines. Thus, the IL-10 KO mouse model may be useful for studying inflammation-associated bone abnormalities and potential therapeutic interventions.
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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".