Table 3.
Evaluation of the utility of four neuropeptides in predicting an autism-like disease in a PPA model of ASD using ROC analysis (PPA: n = 6, control: n = 6). PCA: first principal component in principal component analysis; DA: first principal component in discriminant analysis.
| ROC Analysis | AUC | p Value | Cutoff | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|---|
| PCA | 0.889 | 0.025 | −1.45 | 100 | 83.3 |
| DA | 0.889 | 0.025 | 0.35 | 100 | 83.3 |
| α-MSH | 0.833 | 0.055 | 301 | 83.3 | 83.3 |
| β-End | 0.861 | 0.037 | 1965 | 100 | 83.3 |
| NT | 0.778 | 0.109 | 645 | 83.3 | 50.0 |
| SP | 0.806 | 0.078 | 52 | 83.3 | 83.3 |