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Profiling system-wide variations between Acute Rheumatic Fever and Rheumatic Heart Disease

ABSTRACT: Profiling system-wide variations between Acute Rheumatic Fever and Rheumatic Heart Disease

PROVIDER: PRJNA861297 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR20439978_1.fastq.gz	Fastqsanger.gz
	SRR20439978_2.fastq.gz	Fastqsanger.gz
	SRR20439979_1.fastq.gz	Fastqsanger.gz
	SRR20439979_2.fastq.gz	Fastqsanger.gz
	SRR20439980_1.fastq.gz	Fastqsanger.gz

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Profiling system-wide variations between Acute Rheumatic Fever and Rheumatic Heart Disease

Project description:Rheumatic heart disease (RHD) continues to affect developing countries with low income, due to the lack of resources and effective diagnostic techniques. Understanding the genetic basis of progression from its prequel disease state, acute rheumatic fever (ARF), would aid in developing predictive biomarkers and improving patient care. To gain system-wide molecular insights into possible causes for progression, we collected blood transcriptomes from ARF (5) and RHD (5) patients. Using an integrated transcriptome and network analysis, we identified a subnetwork comprising the most significantly differentially expressed genes and most perturbed pathways in RHD as compared to ARF. For example, the chemokine signaling pathway was seen to be upregulated while tryptophan metabolism was found to be downregulated in RHD. The subnetworks of variation between the two conditions provide unbiased molecular-level insights into the host processes that may be associated with the progression of ARF to RHD, which has the potential to inform future diagnostics and therapeutic strategies. We also found significantly raised neutrophil/lymphocyte ratio in both ARF and RHD cohorts. Activated neutrophils and inhibited NK cell gene signatures reflected the drivers of the inflammatory process being common to both the disease conditions.

2022-07-29 | GSE209591 | GEO

Genome-scale analysis of DNA methylation in rheumatic heart disease

Project description:The aim of the current study is to identify DNA methylation markers associated with rheumatic heart disease with secondary pulmonary arterial hypertension (RHD-PAH).

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Profiling system-wide variations and similarities between Rheumatic Heart Disease and Acute Rheumatic Fever-A pilot analysis.

Project description:Rheumatic heart disease (RHD) continues to affect developing countries with low income due to the lack of resources and effective diagnostic techniques. Understanding the genetic basis common to both the diseases and that of progression from its prequel disease state, Acute Rheumatic Fever (ARF), would aid in developing predictive biomarkers and improving patient care. To gain system-wide molecular insights into possible causes for progression, in this pilot study, we collected blood transcriptomes from ARF (5) and RHD (5) patients. Using an integrated transcriptome and network analysis approach, we identified a subnetwork comprising the most significantly differentially expressed genes and most perturbed pathways in RHD compared to ARF. For example, the chemokine signaling pathway was seen to be upregulated, while tryptophan metabolism was found to be downregulated in RHD. The subnetworks of variation between the two conditions provide unbiased molecular-level insights into the host processes that may be linked with the progression of ARF to RHD, which has the potential to inform future diagnostics and therapeutic strategies. We also found a significantly raised neutrophil/lymphocyte ratio in both ARF and RHD cohorts. Activated neutrophils and inhibited Natural Killer cell gene signatures reflected the drivers of the inflammatory process typical to both disease conditions.

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Genome-scale analysis of DNA methylation in rheumatic heart disease

Project description:The aim of the current study is to identify DNA methylation markers associated with rheumatic heart disease with secondary pulmonary arterial hypertension (RHD-PAH). Genome-wide DNA methylation study is performed among 6 RHD-PAH patients and 6 healthy controls using Illumina HumanMethylation 450K array.

2016-07-06 | E-GEOD-84003 | biostudies-arrayexpress

Profiling of long non-coding RNAs associated with atrial fibrillation in patients with rheumatic heart valvular disease

Project description:To investigate the expression profiles of long non-coding RNAs (lncRNAs) in atrial fibrillation (AF), atrial tissues from 5 AF patients and 5 non-AF patients that were collected for lncRNA expression microarray analyses to explore the role of lncRNA in the pathogenesis of AF.rhythm (SR) patients with rheumatic heart valvular disease,we have employed

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Investigating genetic susceptibility to rheumatic heart disease in Oceania

Project description:This case-control study investigated susceptibility to rheumatic heart disease in over 3,000 individuals recruited across eight Oceanian countries. Cases were patients with rheumatic heart disease and controls were members of the general population. In addition to the Illumina HumanCore-24 BeadChip genotyping, a subset of 128 samples were analysed using the higher density Illumina HumanOmniExpressExome BeadChip of which 64 were also analysed using low coverage sequencing with the Illumina HiSeq 4000 platform.

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Genomic analysis of lncRNA and mRNA profile in circulating exosomes of patients with rheumatic heart disease

Project description:Rheumatic heart disease (RHD) is still a serious life-threatening heart disease in developing countries. Accumulating evidence suggested that circulating exosomes and its cargoes including mRNA, microRNA and long noncoding RNA (lncRNA) play essential roles in cardiovascular diseases, while their roles in RHD remain unexplored. In the present study, we investigated genomic profiles of circulating exosomes harvested from RHD patients. And we performed gene ontology (GO) and pathway analysis to explore potential roles of differentially expressed mRNAs. Furthermore, we identified 5 lncRNAs and their flanking coding genes simultaneously dysregulated in the circulating exosome. Collectively, we provided the first transcriptome analysis identifying lncRNAs and mRNAs in circulating exosomes in RHD patients, and our data provide valuable insights into seeking for potential biomarkers and therapeutic targets for RHD.

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2016-10-21 | GSE74235 | GEO

Altered expression of transfer-RNA-derived small RNAs (tsRNAs) in human with rheumatic heart disease

Project description:Rheumatic heart disease (RHD) remains a serious public health problem in developing countries. Atrial fibrillation (AF) is a medical complication of RHD. Although the understanding of disease pathogenesis has advanced in recent years, the key questions need to be addressed. Transfer RNA–derived small RNAs (tsRNAs) are a novel type of short non-coding RNAs that have potential regulatory functions in various physiological and pathological processes. The present study used tsRNAs sequencing to investigate the relationship between RHD and atrial fibrillation (AF). Three paired myocardial papilla were taken from six rheumatic RHD patients with AF (3 cases) or without AF (3 cases) from January 2016 to January 2017 in Xiangya Hospital, Central South University. A total of 219 precisely matched tsRNAs were identified, and 77 tsRNAs (fold change > 2.0 and P < 0.05) were differently changed. Three tsRNAs (AS-tDR-001269, AS-tDR-001363, AS-tDR-006049) were randomly selected and verified by qRT-PCR. The results of qRT-PCR were consistent with tsRNAs sequencing, suggesting the tsRNAs sequencing was reliable. Then bioinformatics analysis indicated that the target genes were abundant in regulation of transcription, DNA binding, intracellular. Most of the genes were predicted to interplay with cytokine-cytokine receptor by KEGG analysis. Our findings uncover the pathological process of AF in RHD through tsRNAs sequencing. This study provides new ideas for future research on elucidating the mechanism of AF in RHD and offers potential new candidates for the treatment and diagnosis of RHD.

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Acute rheumatic fever and rheumatic heart disease in Victoria, 2006-18.

Project description: Not available

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