Effects of Serum From Children with Newly Diagnosed Crohn Disease on Primary Cultures of Rat Osteoblasts
Bibliographic record
Abstract
OBJECTIVES: We propose that Crohn disease (CD) decreases bone formation via circulating inflammatory mediators. We therefore examined the effects of serum from newly diagnosed, untreated children with CD on osteoblasts in culture and the role of interleukin-6 (IL-6), a cytokine present in excess in active CD that also has direct effects on bone. METHODS: Bone mineral density was measured by dual x-ray absorptiometry. Primary cultures of rat osteoblasts were treated with serum from patients with CD and healthy controls. We measured expression of osteoblast proliferation, viability, differentiation markers, and mineralized nodule formation. Neutralizing antibodies were used to inhibit the effects of IL-6 present in serum. RESULTS: We studied 24 children with CD (14 male) and 31 controls (15 male). Spine bone mineral density was lower in patients with CD (Z score, -0.8 +/- 0.9 vs. 0.0 +/- 1.0 for controls; P < 0.05). Nodule formation was markedly decreased in osteoblasts treated with CD serum. However, CD serum did not affect osteoblast proliferation or viability. Expression of proteins characteristic of mature osteoblasts-osteocalcin and alkaline phosphatase-was reduced. Unlike our results in a model of intact bone, neutralization of IL-6 did not inhibit the effects of CD serum. Addition of IL-6 to control serum to match serum concentrations in CD had no effect either. CONCLUSIONS: CD serum affects osteoblast function and probably differentiation in vitro, suggesting a mechanism by which CD may affect bone formation. IL-6 by itself is not sufficient to cause these effects and probably needs a cofactor present in intact bone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".