Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Periostin is upregulated in coronary arteriopathy in Kawasaki disease and is a potential diagnostic biomarker.

ABSTRACT: Periostin was upregulated 11-fold in acute and chronic Kawasaki disease coronary arteries compared with controls (P = 0.003). Kawasaki disease patients had significantly elevated serum periostin values compared with febrile controls (P = 0.0086). There was no relationship between serum periostin values and age, gender or acute phase reactants; there was a relationship between serum periostin and maximal coronary artery Z scores that did not reach significance (P = 0.08). Periostin may prove to be useful as a component of a future diagnostic biomarker panel for Kawasaki Disease.

SUBMITTER: Reindel R

PROVIDER: S-EPMC4086943 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Periostin is upregulated in coronary arteriopathy in Kawasaki disease and is a potential diagnostic biomarker.

Reindel Rebecca R Kim Kwang-Youn A KY Baker Susan C SC Shulman Stanford T ST Perlman Elizabeth J EJ Lingen Mark W MW Trevenen Cynthia C Rowley Anne H AH

The Pediatric infectious disease journal 20140601 6

Periostin was upregulated 11-fold in acute and chronic Kawasaki disease coronary arteries compared with controls (P = 0.003). Kawasaki disease patients had significantly elevated serum periostin values compared with febrile controls (P = 0.0086). There was no relationship between serum periostin values and age, gender or acute phase reactants; there was a relationship between serum periostin and maximal coronary artery Z scores that did not reach significance (P = 0.08). Periostin may prove to b ...[more]

PMID: 24476956

Similar Datasets

Upregulated N6-Methyladenosine RNA in Peripheral Blood: Potential Diagnostic Biomarker for Breast Cancer.

Project description:PurposeAn effective biomarker for the diagnosis of breast cancer (BC) and benign breast diseases (BBD) is crucial for improving the prognosis. We investigated whether N6-methyladenosine (m6A) can be a diagnostic biomarker of BC.Materials and methodsWe detected the contents of peripheral blood m6A in 62 patients with BC, 41 patients with BBD, and 41 normal controls (NCs) using the colorimetric method. The relative expression of the m6A regulated genes methyltransferase-like 14 (METTL14) and fat mass and obesity-associated (FTO) was analyzed using quantitative real-time polymerase chain reaction.Resultsm6A in peripheral blood RNA was significantly higher in patients with BC than that in patients with BBD (p < 0.001) or the NCs (p < 0.001). m6A was closely associated with the disease stage (from stage 0 to stage I-IV, p=0.003). The receiver operating characteristic curve of m6A contained an area under the curve (AUC) value of 0.887 in BC, which was greater than that of carcinoembryonic antigen (CEA) or carbohydrate antigen 153 (CA153). The combination of m6A, CEA, and CA153 improved the AUC to 0.914. The upregulated and downregulated mRNA expression of METTL14 and FTO, respectively, might contribute to the increase of m6A in patients with BC. m6A combined with METTL14 and FTO improved the AUC to 0.929 with a specificity of 97.4% in the peripheral blood of patients with BC.ConclusionThe peripheral blood RNA of m6A might be a valuable biomarker for the diagnosis of BC.

| S-EPMC8053864 | biostudies-literature

circRNA, a novel diagnostic biomarker for coronary heart disease.

Project description:ObjectiveThis study aimed to identify the potential diagnostic biomarkers of coronary heart disease (CHD) from exosome-derived circRNA.MethodsThe microarray data of circRNA derived from the exosomes of patients with CHD and mRNA in acute myocardial infarction was retrieved from exoRBase website and GEO database (GSE61144), respectively, to identify the differentially expressed genes (DEGs). Our findings detected the differentially expressed circRNAs and mRNAs and predicted their correlation with microRNAs using the microRNA target prediction website, thus ascertaining the corresponding circ-microRNA and micro-mRNAs. Then, we performed systematic Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis on the differentially expressed mRNA. Protein-Protein Interactions (PPI) of these DEGs were examined using STRING. The receiver operator characteristic (ROC) curve was used to validate the diagnostic efficacy of circRNA in patients with CHD. Finally, the RNAs identified in this study were verified by quantitative real-time polymerase chain reaction (qRT-PCR).ResultsA total of 85 differentially expressed circRNAs (4 up-regulated and 81 down-regulated) were identified by screening the circRNAs in exosome of CHD patients. Based on the prediction data of circRNA, mRNA, and the corresponding microRNA, a ceRNA network was constructed, including 7 circRNA nodes, 5 microRNA nodes, and 2 mRNA nodes. Finally, validated by qRT-PCR testing, we found circRNA0001785, circRNA0000973, circRNA0001741, and circRNA0003922 to be the promising candidate for the effective prediction of CHD. These potential diagnostic markers can provide insight for further research on the occurrence of CHD or even acute coronary syndrome (ACS).

| S-EPMC9928865 | biostudies-literature

Tetranectin as a Potential Biomarker for Stable Coronary Artery Disease.

Project description:This cross-sectional study tested the hypothesis that decreased serum levels of tetranectin (TN), a regulator of the fibrinolysis and proteolytic system, is associated with the presence and severity of CAD. We conducted a systematic serological and immunohistochemical (IHC) analysis to respectively compare the TN levels in serum and artery samples in CAD patients and healthy controls. Our results showed that serum levels of TN were significantly lower in patients with CAD than in healthy controls. Further analysis via trend tests revealed that serum TN levels correlated with the number of diseased arteries. Besides, the multivariate logistic regression model revealed TN as an independent factor associated with the presence of CAD. Additionally, IHC analysis showed that TN expression was significantly higher in atherosclerotic arteries as compared to healthy control tissues. In conclusion, our study suggests that increased serum TN level is associated with the presence and severity of diseased coronary arteries in patients with stable CAD.

| S-EPMC4665081 | biostudies-other

Plasma-derived exosomal circular RNA hsa_circ_0005540 as a novel diagnostic biomarker for coronary artery disease

Project description:Aims: Exosomes exist in almost all body fluid and contain diverse biological contents which may be reflective of disease state. Circular RNAs (CircRNAs) are stable in structure and have a long half-life in exosomes without degradation, thus making them reliable biomarkers. However, the potential of exosomal circRNAs as biomarkers of coronary artery disease (CAD) remains to be established. Here we aimed to investigate the expression levels and the potential use of exosomal circRNAs as diagnostic biomarkers of CAD. Main methods: CircRNAs expression levels in exosomes obtained from three plasma samples from CAD patients and three paired controls were analyzed using RNA sequencing. Exosomal circRNAs obtained in the profiling phase were then verified in two-center validation cohorts. Finally, the ability of exosomal circRNAs, adjusting for Framingham Heart Study (FHS) risk factors, was determined to discriminate between CAD patients and non-CAD controls. Key findings: 355 circRNAs were differentially expressed between these two groups: 164 were upregulated, and 191 were downregulated. Here we selected potential circRNAs (fold change > 4, P < 0.05) as candidate biomarkers for further validation. Our data showed that only hsa_circ_0005540 was significantly associated with CAD (P < 0.0001). After adjustment for risk factors, hsa_circ_0005540 showed a high discriminatory power for CAD in ROC analyses (AUC = 0.853; 95% confidence interval [CI] = 0.799 - 0.906, P < 0.001). Significance: Our results suggest that plasma exosomal hsa_circ_0005540 can be used as a promising diagnostic biomarker of CAD.

2020-07-20 | GSE152498 | GEO

Preventing coronary artery lesions in Kawasaki disease.

Project description:A form of systemic vasculitis that affects mostly small and medium-sized vessels, Kawasaki disease (KD) is most commonly found in children under the age of 5 years old. Though its etiology is unknown, KD has been the most frequent acquired heart disease in developing countries. Its incidence has increased over recent decades in many centuries, including Japan, Korea, and China. The most severe complications of KD are coronary artery lesions (CAL), including dilation, fistula, aneurysm, arterial remodeling, stenosis, and occlusion. Aneurysm formation has been observed in 20-25% of KD patients that do not receive intravenous immunoglobulin (IVIG) treatment, and in 3-5% that do receive it. Coronary artery dilation has been found in about 30% of KD patients in the acute stage, although mostly in the transient form. Diminishing the occurrence and regression of CAL is a vital part of treating KD. In this review article, I demonstrate the clinical method to prevent CAL formation used at the Kawasaki Disease Center in Taiwan.

| S-EPMC6136281 | biostudies-other

A Potential Diagnostic Biomarker in Pulmonary Hypertension

Project description:Right heart failure results from advanced pulmonary hypertension (PH) and has a poor prognosis. There are few available treatments for right heart failure. Pulmonary artery remodeling, including changes in pulmonary artery endothelial cells to endothelial-mesenchymal cells, and aberrant fibroblast and pulmonary artery smooth muscle cell (PASMC) proliferation, are characteristics of the pathophysiological process of PH. As a result, the clinical situation requires novel PH diagnostic and treatment targets.

2022-10-14 | GSE215341 | GEO

The Role of Upregulated <i>DDX11</i> as A Potential Prognostic and Diagnostic Biomarker in Lung Adenocarcinoma.

Project description:Background: Lung adenocarcinoma (ADC) is the main cause of cancer-related mortality in lung cancer patients. DEAD/DEAH box helicase 11 (DDX11) was previously shown to be dysregulated and to exert oncogenic activity in cancer. However, the diagnostic value and clinical significance of DDX11 in ADC remain unknown. Methods: A total of 513 ADC and 59 normal tissue samples were obtained from The Cancer Genome Atlas (TCGA) database, and the mRNA expression level of DDX11 in ADC was evaluated. Additionally, a meta-analysis of 7 ADC cohorts from the Gene Expression Omnibus (GEO) database was conducted to validate the DDX11 expression pattern. Moreover, receiver operating characteristic (ROC) curve analysis was used to identify the diagnostic power of DDX11 in ADC. A tissue microarray (TMA) comprising 86 ADC specimens and their adjacent normal specimens was applied to indicate DDX11 protein expression status. In addition, Kaplan-Meier and Cox regression analyses were conducted to validate the prognostic value of DDX11 in ADC. Finally, the molecular mechanism of DDX11 action in ADC was predicted by gene set enrichment analysis (GSEA). Results: DDX11 was upregulated in ADC tissues and was associated with worse overall survival (OS). ROC curves of DDX11 showed high values for diagnosis. Additionally, DDX11 expression has remarkable correlations with DNA replication and the cell cycle G1-S phase pathway. Consistently, it was associated with cell cycle genes, such as CCNA2, CCNB1, CCNC, CCND1, CCNE1, CDK2, CDK4 and CDK6. Moreover, high CCNA2, CCNB1, CCNE1 and CDK6 expression in ADC patients predicted worse OS and progression-free survival (PFS). Conclusion: DDX11 was significantly upregulated and predicted poor prognosis in ADC. This gene might serve as a potential novel prognostic and diagnostic biomarker for ADC.

| S-EPMC6691710 | biostudies-literature

N-terminal pro-brain natriuretic peptide as a biomarker for predicting coronary artery lesion of Kawasaki disease.

Project description:Coronary artery lesion (CAL) caused by Kawasaki disease (KD) is currently the most common acquired heart disease in children in many countries. Nevertheless, there is no single useful marker existing for predicting CAL of KD. Recently, many reports have noted that N-terminal pro-brain natriuretic peptide (NT-proBNP) can be utilized as a biomarker to predict CAL. Thus, we perform a meta-analysis to ascertain the diagnostic value of NT-proBNP in detecting CAL of KD in the acute phase. PubMed, the Cochrane Central Register of Controlled Trials, EMBASE, and China National Knowledge Infrastructure were searched to detect relevant publications. Finally, eight eligible studies were included. The overall diagnostic sensitivity and specificity were 0.84 (95% confidence interval [CI]: 0.78-0.89) and 0.71 (95% CI: 0.68-0.75), respectively. The area under the summary receiver operating characteristic curves value (SROC) curve was 0.8582?±?0.0531. Moreover, the overall sensitivity and specificity across five studies adopted the threshold of approximately 900?ng/L were 0.82 (95% CI: 0.73-0.89) and 0.72 (95% CI: 0.68-0.76), respectively. SROC was 0.8868?±?0.0486. This meta-analysis would be the first one to describe the role of NT-proBNP in detecting CAL of KD. We register this study with PROSPERO (CRD42019130083).

| S-EPMC7083930 | biostudies-literature

Insights Into Coronary Artery Lesions in Kawasaki Disease.

Project description:This review summarizes recent advances in understanding the development of coronary arteritis in Kawasaki disease. Kawasaki disease is the most common cause of acquired heart disease among children characterized with coronary artery abnormalities, which can cause myocardial ischemia, infarction, and even death. The pathogenic factors of Kawasaki disease and the pathological process of coronary artery disease are not clear at present, which brings challenges to the prevention and treatment of the disease. The treatment of Kawasaki disease focuses mainly on timely administration of intravenous high doses of immunoglobulin and aspirin. However, there are still some patients who do not respond well to this standard treatment, and its management remains a challenge. As a result, coronary artery lesions still occur in patients and affect their quality of life. In this review, we discuss updated research data of Kawasaki disease coronary artery lesions.

| S-EPMC7477115 | biostudies-literature

Bioinformatics analysis identifies potential diagnostic signatures for coronary artery disease.

Project description:BackgroundCoronary artery disease (CAD) is the leading cause of mortality worldwide. We aimed to screen out potential gene signatures and construct a diagnostic model for CAD.MethodWe downloaded two mRNA profiles, GSE66360 and GSE60993, and performed analyses of differential expression, gene ontology terms, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The STRING database was used to identify protein-protein interactions (PPI). PPI network visualization and screening out of key genes were performed using Cytoscape software. Finally, a diagnostic model was constructed.ResultsA total of 2127 differentially expressed genes (DEGs) were identified in GSE66360, and 527 DEGs in GSE60993. Of the 153 DEGs from both datasets that showed differential expression between CAD patients and controls, 471 biological process terms, 35 cellular component terms, 17 molecular function terms, and 49 KEGG pathways were significantly enriched. The top 20 key genes in the PPI network were identified, and a diagnostic model constructed from five optimal genes that could efficiently separate CAD patients from controls.ConclusionWe identified several potential biomarkers for CAD and built a logistic regression model that will provide a valuable reference for future clinical diagnoses and guide therapeutic strategies.

| S-EPMC7840986 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data