Metabolic activity of osteoblasts from periprosthetic trabecular bone in failed total hip arthroplasties and osteoarthritis as markers of osteolysis and loosening.
Bibliographic record
Abstract
OBJECTIVE: This study explored whether osteoblast metabolism in trabecular bone of failed total hip replacement (fTHR) in primary osteoarthritis (OA) plays a role in differential failure. METHODS: Osteoblast cell cultures were prepared from metaphyseal trabecular bone of normal individuals, OA patients, OA patients with fTHR with massive cavitary osteolysis (fTHR-O) and without massive cavitary osteolysis (fTHR-NO). Osteoblasts were characterized by measuring osteocalcin, cellular alkaline phosphatase (ALP), and urokinase plasminogen activator (uPA) activity. The cellular metabolic activity was also evaluated by measuring the production of interleukin (IL)-1beta, IL-6, and prostaglandin E2 (PGE2). RESULTS: ALP activity was increased in osteoblasts from patients with OA and fTHR-O compared to normal controls and fTHR-NO. Osteocalcin release was increased only in fTHR-O compared to all other groups. uPA activity was highest in the subgroup of "high metabolic OA" and in fTHR-O, while it was lowest in the subgroup of "low metabolic OA" and in fTHR-NO. IL-6 and PGE2 production was higher in the high metabolic OA and fTHR-O compared to fTHR-NO and low metabolic OA patients. CONCLUSION: Osteoblasts from fTHR-O and a subgroup of OA patients present similarly increased osteoblast markers compared to normal subjects, the low metabolic OA subgroup, and fTHR-NO. This information suggests the differential role of osteoblasts in osteolysis pathophysiology in primary THR surgery. The pertinence of the differential high and low metabolic activities of osteoblasts to the pathophysiology of OA remains to be fully established.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".