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Fig. 2 | Clinical Epigenetics

Fig. 2

From: A new nucleosomic-based model to identify and diagnose SSc-ILD

Fig. 2

Roc curve and box plot for discrimination of SSc vs SSc-ILD in the combination of H3.1 containing cf-nucleosome associated with IGFBP-1 and MMP-9. A model with three biomarkers: H3.1 containing cf-nucleosome, MMP-9, and IGFBP-1 discriminated patients with scleroderma with fibrosis (SSc-ILD) versus scleroderma without fibrosis (SSc): a ROC curves for discrimination of SSc-ILD patients vs SSc patients. The model reached a sensitivity of 58% and 42% at respectively 80% specificity and 90% specificity. The AUC was 0.77 (pModel < 0.001; pNu.Q H3.1 = 0.022; pMMP-9 = 0.047; pIGFBP-1 = 0.01). b Box plot demonstrating significantly higher score in patients with a SSC-ILD (n = 31) compared with SSc patients (n = 67) (p < 0.001). The score for each group was achieved with pre-processed ELISA data from Nu.Q™ H3.1, MMP-9, and IGFBP-1 assays. A binary logistic regression model was used to calculate the probability of SSc-ILD in relation to SSc. P values were determined by Mann-Whitney rank-sum test. The box plot shows the median and the 25th and 75th percentiles; the whiskers indicate 1.5 times the interquartile range (IQR)

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