Diagnosis and subtype classification on serum peptide fingerprints by mesoporous polydopamine with built-in metal-organic framework

Abstract

Crohn's disease (CD) as a big issue to public health needs an accurate diagnosis urgently that is the common challenge among internal diseases. Herein, we design a mesoporous polydopamine with built-in metal-organic frameworks (dubbed MMP-b-MOFs) to combine with high-throughput mass spectrometry to extract serum peptide fingerprints from CD and healthy controls (HC). Benefitting by the size-exclusion and strong hydrophilicity of MMP-b-MOFs, the extracted peptide fingerprints present extremely high quality. CD and HC are explicitly discriminated with orthogonal partial least squares discriminant analysis (OPLS-DA), the corresponding area under the curve (AUC) value is 1.000. Moreover, eight peptides with clear identity are screened out and achieve the accurate diagnosis and subtype classification of CD, with all AUC values up to 1.000. Moreover, the unsupervised model is also established to precisely classify HC and CD based on these eight clearly identified peptides. This work brings great benefits for clinical detection especially internal medicine.