Basic Synovial Biology and Immunopathology in Psoriatic Arthritis
Bibliographic record
Abstract
Psoriatic arthritis (PsA) is a chronic inflammatory arthropathy with a well recognized propensity for aggressive bone erosions. In some individuals, however, periarticular bone mineralization is maintained, and there is often associated new bone formation with periostitis and frank ankylosis; thus PsA manifests, in different individuals, reciprocal patterns of joint pathology suggesting a disorder of bone remodeling. Recent key scientific advances will be briefly reviewed including T cell, B cell, human leukocyte antigen associations; and the importance of neoangiogenesis, vascularity, and adhesion molecules in conjunction with inflammatory infiltrates and cytokine expression. Finally, the mechanisms of abnormal bone remodeling are discussed, including mediators of osteoclastogenesis such as RANK ligand and molecular signaling pathways including Dickkop-1 and bone morphogenetic proteins. Although much has been learned about the pathogenesis of PsA, much remains to be defined regarding the mechanisms linking synovial biology and immunopathology to different disease outcomes. Identifying key differentiating factors between the diverse PsA phenotypes, correlating findings with the rapidly advancing field of ultrasound image acquisition, and delineating the cellular and molecular mechanisms of abnormal bone remodeling in combination should enable the development of improved prognostic algorithms. This in turn should facilitate the targeting of expensive (about pound10k/patient/year) and potentially toxic yet effective biologics to patients most in need.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".