New Biomarkers of Kawasaki Disease Identified by Gingival Crevicular Fluid Proteomics
Abstract Background: Kawasaki Disease (KD) is an acute self-limiting systemic vasculitis syndrome which can result in arterial damage especially in coronary artery. To find possible new biomarkers for the diagnosis of KD by Data independent acquisition (DIA) quantitative proteomics.Methods: Twenty-seven patients with KD were enrolled in the present study, further, gingival crevicular fluid of before IVIG treatment with KD was collected as the experimental group. Meanwhile, 18 healthy volunteers were recruited as the control group.DIA quantitative proteomics mass spectrometry analysis was performed on the GCF samples of each group, and the protein expression profiles of the two groups of GCF were detected. Function enrichment of DEP by KEGG and GO, protein-protein interaction (PPI) analysis for all the DEPs detected, Finally, the multiple reaction monitoring mass spectrometry method was used to verify the selected DEPs.Results:197 DEPs (174 up-regulated and 23 down-regulated) were detected in the CGF between the KD group and the normal control group. Cellular process and metabolic process, binding and catalytic activity are the most altered biological process and molecular function, respectively. NOD−like receptor signaling pathway, Protein processing in endoplasmic reticulum pathway and influenza pathway are most significant pathway. EIF2AK2, B2M and GBP1 are kernel proteins in PPI network. The results of MRM-MS of 12 DEPs including IFIT3, UB2L6, HP, A1AT, HSP90AA1, HNRPC, HSP90AB1, SAA1, MX1, B2M, FKBP4 and TRAP1 were highly consistent with DIA.Conclusions: We suggested that 12 proteins in GCF could be used as new biomarkers for early diagnosis of KD. We also found that KD is closely related to gingival inflammation at the molecular level, which provides new ideas and directions for the diagnosis and treatment of KD.