Elevated Serum Levels of Soluble CD163 in Polymyositis and Dermatomyositis: Associated with Macrophage Infiltration in Muscle Tissue
Bibliographic record
Abstract
OBJECTIVE: To investigate serum levels of soluble CD163 (sCD163) in patients with polymyositis (PM) and dermatomyositis (DM), and to correlate these to clinical manifestations and laboratory data. METHODS: Serum levels of sCD163 were detected in 24 patients with PM, 84 patients with DM, and 46 healthy controls by using the ELISA method. Immunohistochemistry staining of macrophage infiltration in muscle tissue using anti-CD163 monoclonal antibody was conducted on muscle biopsy specimens from 13 patients with PM and 17 with DM. RESULTS: Serum levels of sCD163 were significantly increased in patients compared with healthy controls (p < 0.001). Patients with interstitial lung disease (ILD) had statistically higher sCD163 levels than patients without ILD (p < 0.001). High serum sCD163 levels were associated with increased incidence of antinuclear antibody (p < 0.05), higher serum levels of immunoglobulin G (p < 0.01) and immunoglobulin A (p < 0.05), and increased erythrocyte sedimentation rates (p < 0.01). Serum sCD163 levels were inversely correlated with CD3+ T cell counts in peripheral blood of patients (r = -0.306, p < 0.01). Cross-sectional assessment and longitudinal study revealed a significant correlation between serum sCD163 levels and disease activity. Patients with high serum sCD163 levels showed a higher incidence of CD163+ macrophage infiltration in muscle tissue than patients with normal sCD163 levels (chi-square value = 10.804, p < 0.01). CONCLUSION: Serum levels of sCD163 were significantly elevated and correlated with disease severity in patients with PM/DM, suggesting serum sCD163 as a promising biomarker in the disease evaluation of PM/DM. Our finding of elevated serum sCD163 levels associated with muscle macrophage infiltration highlights the role activated macrophage plays in the pathogenesis of PM/DM.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".