Circulating Osteoprotegerin and Soluble RANK Ligand in Systemic Sclerosis
Bibliographic record
Abstract
OBJECTIVE: .Microvascular damage is an early pathogenetic event in systemic sclerosis (SSc). The receptor activator of nuclear factor-kappaB ligand (RANKL)/RANK/osteoprotegerin (OPG) system is involved in vascular biology. Our aim was to assess OPG and soluble RANKL (sRANKL) serum levels in patients with SSc and healthy controls. METHODS: Sixty patients with SSc (median age 58, range 31-72 yrs) and 60 healthy subjects matched for age, sex, and menopausal status were recruited. Serum OPG, sRANKL, soluble vascular cell adhesion molecule (sVCAM; marker of endothelial activation/injury), and bone turnover markers were measured. Bone mineral density in patients was assessed and cardiovascular/coronary risk was estimated. RESULTS: OPG was similar in the 2 groups, while sRANKL and sRANKL/OPG ratio was higher in patients (p = 0.01 for both). sVCAM was markedly higher in patients (p < 0.001). OPG levels correlated positively with age in both patients (Spearman R = 0.50, p < 0.001) and controls (R = 0.56, p < 0.001). In patients, OPG was lower in men and higher in those with active ulcers or calcinosis. sRANKL levels were higher in patients treated with platelet aggregation inhibitors, and correlated negatively with densitometric measures. 25-hydroxyvitamin D levels were significantly lower in patients (p < 0.001). In patients, OPG levels correlated positively with cardiovascular and coronary risk (R = 0.28, p = 0.05 and R = 0.34, p < 0.01, respectively) and were higher in patients with hypertension and left ventricular hypertrophy. sVCAM levels correlated positively with cardiovascular and coronary risk (R = 0.27, p = 0.06, and R = 0.38, p < 0.01, respectively). CONCLUSION: Higher sRANKL levels and sRANKL/OPG ratio in patients with SSc are likely to be a consequence of altered bone microenvironment. We show a dissociation between the well established marker of endothelial activation/injury, sVCAM, and the alleged marker of vascular damage, OPG, in patients with SSc. Further studies are needed to better ascertain the relationships of the RANKL/RANK/OPG system with the progression of macro- and microvascular damage.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".