Objective: The objective of this study was to identify a specific fingerprint chromatogram model of serum proteins for early screening and diagnosis of Hirschsprung disease.
Methods: To detect the protein mass spectrograms of 78 serum specimens (42 specimens of Hirschsprung disease, 16 specimens of adhesive ileus including appendicitis and Meckel diverticulum after operation and inflammatory bowel disease, and 20 specimens of normal control subjects), we used surface-enhanced laser desorption/ionization time of flight mass spectrometry technology, combined with bioinformatics methods (support vector machine) to develop and compare protein mass spectrograms from serum samples.
Results: We identified 3 protein markers, the mass-to-charge ratio of which is positioned at 3221.7, 5639.2, and 6884.2 from the fingerprint chromatogram model of serum protein for early screening and diagnosis of Hirschsprung disease. The markers had 100% sensitivity and specificity.
Conclusion: The fingerprint chromatogram model of serum protein using surface-enhanced laser desorption/ionization time of flight mass spectrometry technology combining support vector machine is a new method of early screening and diagnosis of Hirschsprung disease that is worthy of additional research and application.