The multivariate adaptive regression splines (MARS) modeling, comparing differences in relative SNO level (Asc−/Asc+ ratio) of the protein spots between any two groups yielded SNO biomarkers that exhibited ≥90% prediction success in classifying ChD CA (582-KRT1 and 884-TPM3) and ChD CS (426-PNP, 582-KRT1, 486-ALB, 662-ACTB) patients from NH controls. This evidence concerns the gene PNP and coronary artery disorder.