Elevated Serum Concentrations of Triggering Receptor Expressed on Myeloid Cells-1 in Diffuse Cutaneous Systemic Sclerosis: Association with Severity of Pulmonary Fibrosis
Bibliographic record
Abstract
OBJECTIVE: To determine serum concentrations and clinical association of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) in patients with systemic sclerosis (SSc). METHODS: Serum sTREM-1 levels from 17 patients with limited cutaneous SSc (lSSc), 24 patients with diffuse cutaneous SSc (dSSc), and 29 healthy control individuals were examined by ELISA. RESULTS: Total SSc patients exhibited significantly elevated serum sTREM-1 levels relative to controls (p < 0.01). Serum sTREM-1 levels were significantly elevated in patients with dSSc compared to controls (p < 0.005) and lSSc patients (p < 0.05). By contrast, sTREM-1 levels in lSSc were similar to those in controls. Serum sTREM-1 levels were significantly elevated in SSc patients with decreased percentage vital capacity (%VC). Consistent with this, serum sTREM-1 levels in SSc patients correlated negatively with %VC (r = -0.24, p < 0.005). Among SSc patients with pulmonary fibrosis, sTREM-1 levels were significantly increased in patients with decreased %VC or decreased percentage of diffusion capacity for carbon monoxide relative to those with normal values (p < 0.05). CONCLUSION: Serum sTREM-1 levels were elevated in dSSc patients and correlated with severity of pulmonary fibrosis, suggesting that serum sTREM-1 is a novel serological marker for the disease severity of SSc.
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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 | 0.001 |
| 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".