Transcript abundance patterns in Kawasaki disease patients IVIG-resistance
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE18606 | GEO | 2009/10/17
SECONDARY ACCESSION(S): PRJNA121431
REPOSITORIES: GEO
Similar Datasets
Project description:In this study, we compared global gene expressions between pre- and post- intravenous immunoglobulin (IVIG) administration in nineteen Kawasaki disease (KD) patients. Peripheral blood mononuclear cells (PBMCs) obtained from nineteen patients before and after IVIG treatment was extracted using a PAXgene blood RNA isolation kit. Amplified cRNAs of each patient were analyzed using with Agilent Whole Human Genome Microarray 4x44K G4112F array.
2017-09-19 | GSE73577 | GEO
Project description:Infliximab (IFX) has been reported as the further therapy in intravenous immunoglobulin G (IVIG)-resistant Kawasaki disease (KD) patients. IFX is a monoclonal antibody that blocks the pro-inflammatory cytokine tumor necrosis factor (TNF)-α, but how IFX affect KD vasculitis is unknown. We investigated expression profiling of whole blood cells to elucidate the molecular mechanisms of the effectiveness of IFX therapy and to find characteristic biomarker and an important target in refractory KD. Methods: Refractory KD patients who failed to respond to repeated intravenous immunoglobulin G (IVIG) infusions had received a single infusion of IFX as third therapy. To validate specifically transcripts abundance for IFX therapy, we detected the altered transcripts expression and signaling pathways of whole blood mRNA in these IFX-responsive patients (n=8) using Affymetrix array, comparing initial IVIG-responsive patients (n=6).Results: A total of 1,388 transcripts abundance were significantly altered before and after IFX treatment. These transcripts abundance in IFX had Nucleotide-binding oligomerization domain pathway that play a role in activation of NFκB and IL-1 signaling pathway outside the field of TNF-α signaling pathway. Fifty transcripts including Peptidase inhibitor-3 (PI3), Matrix metalloproteinase-8 (MMP8), Chemokine (C-C motif) receptor-2 (CCR2) and Pentraxin-3 (PTX3) were significantly down-regulated in IFX. Conclusion: We demonstrated that the inhibition of TNF-α by IFX have affected various molecular mechanism materially for IVIG-resistant KD patients. 28 samples of pre- and post-treatment in IFX-responsive patients (n=8) and IVIG-responsive patients (n=6).
2014-04-30 | E-GEOD-48498 | biostudies-arrayexpress
Project description:Clinical score and transcript abundance patterns identify Kawasaki disease patients who may benefit from addition of methylprednisolone. Intravenous immunoglobulin (IVIG) treatment-resistant patients are high risk of developing coronary artery lesions (CALs) with Kawasaki disease (KD). The IVIG-responsive (Group A; n = 6) and -resistant patients (Group B) were predicted before starting the initial treatment using the Egami scoring system, and randomly allocated a single-IVIG treatment group (Group B1; n = 6) or a IVIG-plus-methylprednisolone (IVMP) combined therapy group (Group B2; n = 5). We investigated transcript abundance in the leukocytes of those patients using microarray analysis. Results: five patients in Group A and 1 patient in Group B1 responded to initial IVIG treatment. All Group B2 patients responded to IVIP-plus-IVMP combined therapy. Prior to performing these treatments, those transcripts related to IVIG-resistance and to the development of CALs, such as IL1R, IL18R, oncostatin M, suppressor of cytokine signaling-3, S100A12 protein, carcinoembryonic antigen-related cell adhesion molecule-1, matrix metallopeptidase-9 and polycythemia rubra vera-1 were more abundant in Group B patients in comparison to Group A patients. Moreover, those transcripts in Group B2 patients were more profoundly and broadly suppressed than Group B1 patients after treatment. Conclusion: this study elucidated the molecular mechanism of the effectiveness of IVIG-plus-IVMP combined therapy.
2010-06-17 | GSE16797 | GEO
Project description:Clinical score and transcript abundance patterns identify Kawasaki disease patients who may benefit from addition of methylprednisolone. Intravenous immunoglobulin (IVIG) treatment-resistant patients are high risk of developing coronary artery lesions (CALs) with Kawasaki disease (KD). The IVIG-responsive (Group A; n = 6) and -resistant patients (Group B) were predicted before starting the initial treatment using the Egami scoring system, and randomly allocated a single-IVIG treatment group (Group B1; n = 6) or a IVIG-plus-methylprednisolone (IVMP) combined therapy group (Group B2; n = 5). We investigated transcript abundance in the leukocytes of those patients using microarray analysis. Results: five patients in Group A and 1 patient in Group B1 responded to initial IVIG treatment. All Group B2 patients responded to IVIP-plus-IVMP combined therapy. Prior to performing these treatments, those transcripts related to IVIG-resistance and to the development of CALs, such as IL1R, IL18R, oncostatin M, suppressor of cytokine signaling-3, S100A12 protein, carcinoembryonic antigen-related cell adhesion molecule-1, matrix metallopeptidase-9 and polycythemia rubra vera-1 were more abundant in Group B patients in comparison to Group A patients. Moreover, those transcripts in Group B2 patients were more profoundly and broadly suppressed than Group B1 patients after treatment. Conclusion: this study elucidated the molecular mechanism of the effectiveness of IVIG-plus-IVMP combined therapy. 34 samples of pre- and post-treatment in three groups consisting of predicted as IVIG-responsive patients, given single-IVIG treatment patients and IVIG-plus-IVMP combined therapy group in predicted as IVIG-resistant patients.
2010-07-08 | E-GEOD-16797 | biostudies-arrayexpress
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis. MicroRNA profile of exosome from Kawasaki disease(KD) was analyzed by microRNA microarray analysis in 5 healthy children, 5 KD patients and 5 KD patients after IVIG therapy.
2014-09-03 | E-GEOD-60965 | biostudies-arrayexpress
Project description:Infliximab (IFX) has been reported as the further therapy in intravenous immunoglobulin G (IVIG)-resistant Kawasaki disease (KD) patients. IFX is a monoclonal antibody that blocks the pro-inflammatory cytokine tumor necrosis factor (TNF)-α, but how IFX affect KD vasculitis is unknown. We investigated expression profiling of whole blood cells to elucidate the molecular mechanisms of the effectiveness of IFX therapy and to find characteristic biomarker and an important target in refractory KD. Methods: Refractory KD patients who failed to respond to repeated intravenous immunoglobulin G (IVIG) infusions had received a single infusion of IFX as third therapy. To validate specifically transcripts abundance for IFX therapy, we detected the altered transcripts expression and signaling pathways of whole blood mRNA in these IFX-responsive patients (n=8) using Affymetrix array, comparing initial IVIG-responsive patients (n=6).Results: A total of 1,388 transcripts abundance were significantly altered before and after IFX treatment. These transcripts abundance in IFX had Nucleotide-binding oligomerization domain pathway that play a role in activation of NFκB and IL-1 signaling pathway outside the field of TNF-α signaling pathway. Fifty transcripts including Peptidase inhibitor-3 (PI3), Matrix metalloproteinase-8 (MMP8), Chemokine (C-C motif) receptor-2 (CCR2) and Pentraxin-3 (PTX3) were significantly down-regulated in IFX. Conclusion: We demonstrated that the inhibition of TNF-α by IFX have affected various molecular mechanism materially for IVIG-resistant KD patients.
2014-04-30 | GSE48498 | GEO
Project description:The diagnosis of Kawasaki disease (KD) is often difficult to distinguish from adenovirus (HAdV) and Group A streptococcal disease (GAS). We sought to: 1) to define the KD transcriptional signature that can aid in the diagnosis of complete and incomplete KD in children; 2) to identify specific biomarkers that objectively discriminate between KD and other mimicking conditions, including HAdV and 3) to test the prognostic utility of GEP to determine response to IVIG therapy and development of coronary artery lesions (CAL). Methods: Blood RNA samples were analyzed from 76 pediatric patients with complete KD, 13 with incomplete KD, 19 patients with HAdV, 17 patients with GAS disease, and age- and sex-matched healthy controls (HC). We used class comparisons (MW p< 0.01, Benjamini-Hochberg, and 1.25 fold change filter), class prediction, modular analysis and MDTH analyses to define the specificity of the KD profiles and identify markers of severity. Results: Statistical group comparisons identified 7,899 genes differentially expressed in 39 complete KD patients versus HC (KD biosignature). This signature was validated in another 37 patients with complete KD and in 13 patients with incomplete KD. Modular analysis in children with complete KD demonstrated overexpression of inflammation, neutrophils, myeloid cell, coagulation cascade, and cell cycle genes. The KNN class prediction algorithm identified 25-classifier genes that differentiated children with KD vs HAdV infection in two independent cohorts of patients with 96% (95% CI [80%-99%]) sensitivity and 95% [74%-99%] specificity. MDTH scores in KD patients significantly correlated with the baseline c-reactive protein (R=0.29, p=0.008) and was four fold higher than in children with HAdV (p<0.01). In addition, KD patients that remained febrile 36 hours after treatment with IVIG (non-responders) demonstrated higher baseline, pre-treatment MDTH values compared with responders [12,290 vs. 5,572 respectively; p=0.009]. Conclusion: Transcriptional signatures can be used as a tool to discriminate between KD and HAdV infection, and may also provide prognostic information. 113 samples, no replicates, 9 HAdV, 57 cKD, 12 FUO, 13 GAS, 3 GAS/SF, 5 inKD, 14 healthy control
2016-04-14 | E-GEOD-68004 | biostudies-arrayexpress
Project description:To further development of our miRNA diagnostic approach to Kawasaki disease(KD), we have employed microRNA microarray expression profiling as a discovery platform to identify microRNAs as the potential biomarkers to rapidly diagnose Kawasaki disease. Pooled exosome of serum in equal amount from 5 healthy children, 5 KD patients and 5 KD patients after Intravenous immunoglobulin (IVIG) therapy were used for microRNA microarray analysis.
2014-09-03 | GSE60965 | GEO
Project description:We performed single-cell RNA sequencing (using Cell Ranger Single Cell Pipeline v.4.0.0 to process data de-multiplexing, barcode processing, and single cell 3' gene counting generated by the 10X Chromium platform) in KD patients (within 24 hours before IVIG treatment) and age-matched fever controls.
2022-09-06 | GSE200743 | GEO
Project description:The diagnosis of Kawasaki disease (KD) is often difficult to distinguish from adenovirus (HAdV) and Group A streptococcal disease (GAS). We sought to: 1) to define the KD transcriptional signature that can aid in the diagnosis of complete and incomplete KD in children; 2) to identify specific biomarkers that objectively discriminate between KD and other mimicking conditions, including HAdV and 3) to test the prognostic utility of GEP to determine response to IVIG therapy and development of coronary artery lesions (CAL). Methods: Blood RNA samples were analyzed from 76 pediatric patients with complete KD, 13 with incomplete KD, 19 patients with HAdV, 17 patients with GAS disease, and age- and sex-matched healthy controls (HC). We used class comparisons (MW p< 0.01, Benjamini-Hochberg, and 1.25 fold change filter), class prediction, modular analysis and MDTH analyses to define the specificity of the KD profiles and identify markers of severity. Results: Statistical group comparisons identified 7,899 genes differentially expressed in 39 complete KD patients versus HC (KD biosignature). This signature was validated in another 37 patients with complete KD and in 13 patients with incomplete KD. Modular analysis in children with complete KD demonstrated overexpression of inflammation, neutrophils, myeloid cell, coagulation cascade, and cell cycle genes. The KNN class prediction algorithm identified 25-classifier genes that differentiated children with KD vs HAdV infection in two independent cohorts of patients with 96% (95% CI [80%-99%]) sensitivity and 95% [74%-99%] specificity. MDTH scores in KD patients significantly correlated with the baseline c-reactive protein (R=0.29, p=0.008) and was four fold higher than in children with HAdV (p<0.01). In addition, KD patients that remained febrile 36 hours after treatment with IVIG (non-responders) demonstrated higher baseline, pre-treatment MDTH values compared with responders [12,290 vs. 5,572 respectively; p=0.009]. Conclusion: Transcriptional signatures can be used as a tool to discriminate between KD and HAdV infection, and may also provide prognostic information.
2016-04-14 | GSE68004 | GEO