CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study
Abstract Background Kawasaki 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, inf...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-12-01
|
| Series: | BMC Pediatrics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12887-021-03003-5 |
| _version_ | 1818402166368370688 |
|---|---|
| author | Yazdan Rahmati Hasan Mollanoori Sajad Najafi Sajjad Esmaeili Mohammad Reza Alivand |
| author_facet | Yazdan Rahmati Hasan Mollanoori Sajad Najafi Sajjad Esmaeili Mohammad Reza Alivand |
| author_sort | Yazdan Rahmati |
| collection | DOAJ |
| description | Abstract Background Kawasaki 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. Methods In 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. Results We 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. Conclusions The results of RT-PCR and AUC confirmed the diagnostic potentials of two suggested biomarkers for KD. |
| first_indexed | 2024-12-14T08:04:02Z |
| format | Article |
| id | doaj.art-0f1569ddb3464050a70344a414f62baa |
| institution | Directory Open Access Journal |
| issn | 1471-2431 |
| language | English |
| last_indexed | 2024-12-14T08:04:02Z |
| publishDate | 2021-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pediatrics |
| spelling | doaj.art-0f1569ddb3464050a70344a414f62baa2022-12-21T23:10:16ZengBMCBMC Pediatrics1471-24312021-12-0121111110.1186/s12887-021-03003-5CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental StudyYazdan Rahmati0Hasan Mollanoori1Sajad Najafi2Sajjad Esmaeili3Mohammad Reza Alivand4Department of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical SciencesDepartment of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical SciencesStudent Research Committee, Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical SciencesMedical Biology Research Center, Health Technology Institute, Kermanshah University of Medical SciencesDepartment of Medical Genetics, Faculty of Medicine, Tabriz University of Medical SciencesAbstract Background Kawasaki 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. Methods In 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. Results We 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. Conclusions The results of RT-PCR and AUC confirmed the diagnostic potentials of two suggested biomarkers for KD.https://doi.org/10.1186/s12887-021-03003-5Gene expressionHub genesRT-PCRROC curveWGCNA |
| spellingShingle | Yazdan Rahmati Hasan Mollanoori Sajad Najafi Sajjad Esmaeili Mohammad Reza Alivand CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study BMC Pediatrics Gene expression Hub genes RT-PCR ROC curve WGCNA |
| title | CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study |
| title_full | CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study |
| title_fullStr | CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study |
| title_full_unstemmed | CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study |
| title_short | CASP5 and CR1 as potential biomarkers for Kawasaki disease: an Integrated Bioinformatics-Experimental Study |
| title_sort | casp5 and cr1 as potential biomarkers for kawasaki disease an integrated bioinformatics experimental study |
| topic | Gene expression Hub genes RT-PCR ROC curve WGCNA |
| url | https://doi.org/10.1186/s12887-021-03003-5 |
| work_keys_str_mv | AT yazdanrahmati casp5andcr1aspotentialbiomarkersforkawasakidiseaseanintegratedbioinformaticsexperimentalstudy AT hasanmollanoori casp5andcr1aspotentialbiomarkersforkawasakidiseaseanintegratedbioinformaticsexperimentalstudy AT sajadnajafi casp5andcr1aspotentialbiomarkersforkawasakidiseaseanintegratedbioinformaticsexperimentalstudy AT sajjadesmaeili casp5andcr1aspotentialbiomarkersforkawasakidiseaseanintegratedbioinformaticsexperimentalstudy AT mohammadrezaalivand casp5andcr1aspotentialbiomarkersforkawasakidiseaseanintegratedbioinformaticsexperimentalstudy |