Abstract
BackgroundKawasaki disease (KD) is a pediatric inflammatory disorder causes coronary artery complications. The disease overlapping manifestations with a set of symptomatically like diseases such as bacterial and viral infections, juvenile idiopathic arthritis, Henoch-Schönlein purpura, infection of unknown etiology, group-A streptococcal and adenoviral infections, and incomplete KD could lead to misdiagnosis of the disease.MethodsIn the present study, we applied weighted gene co-expression network analysis (WGCNA) to identify network modules of co-expressed genes in GSE73464 and also, limma package was used to identify the differentially expressed genes (DEGs) in KD expression arrays composed of GSE73464, GSE18606, GSE109351, and GSE68004. By merging the results of WGCNA and limma, we detected hub genes. Then, analyzed the peripheral blood mononuclear cells (PBMCs) of 16 patients and 8 control subjects using Real-Time Polymerase Chain Reaction (RT-PCR) to evaluate the previous results.ResultsWe assessed the diagnostic potency of the screened genes by plotting the area under curve (AUC). We finally identified 2 genes CASP5(Caspase 5) and CR1(Complement C3b/C4b Receptor 1) which were shown to potentially discriminate KD from other similar diseases and also from healthy people.ConclusionsThe results of RT-PCR and AUC confirmed the diagnostic potentials of two suggested biomarkers for KD.
Highlights
Kawasaki disease (KD) is a pediatric inflammatory disorder causes coronary artery complications
The clinical manifestations of KD include a series of symptoms such as fever lasting longer than five days, bilateral non-purulent conjunctivitis and cervical lymphadenopathy, rashes, lip fissures, erythema and edema in oral mucosa and peripheral extremities, and etc. which are similar to those of other types of neonatal illnesses [8] such as epistaxis, juvenile idiopathic arthritis, scarlet fever, and etc., and this can lead to misdiagnosis of the condition [9]
Delayed or missed diagnosis can pose the patient at higher risk of coronary artery abnormalities [10]. till a large number of biomarkers including those designed for inflammatory, proteomics, gene expression profiles, and micro-RNA characteristics have been failed in diagnostic approaches due to unacceptable sensitivity and specificity [10,11,12,13], and so, they may couldn’t suggest confirmation in the diagnostic decision [14]
Summary
Kawasaki disease (KD) is a pediatric inflammatory disorder causes coronary artery complications. Till a large number of biomarkers including those designed for inflammatory, proteomics, gene expression profiles, and micro-RNA characteristics have been failed in diagnostic approaches due to unacceptable sensitivity and specificity [10,11,12,13], and so, they may couldn’t suggest confirmation in the diagnostic decision [14]. The genetic basis known for KD has been interesting for the researchers and clinicians to develop a genetic approach for diagnosis and prediction of prognosis in patients with KD. One drawback may be concluded from the insufficient genes list is that it doesn’t make possible to accurately diagnose and predict prognosis of the disease
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
