Transciptome analysis of acute myocardial infarction
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE123487 | GEO | 2018/12/08
REPOSITORIES: GEO
Similar Datasets
Project description:Transciptome analysis of acute myocardial infarction
| PRJNA508899 | ENA
Project description:Acute myocardial infarction (AMI) is primarily due to coronary atherosclerotic plaque rupture and subsequent thrombus formation. Platelets play a key role in the genesis and progression of both atherosclerosis and thrombosis. Since platelets are anuclear cells that inherit their mRNA from megakaryocyte precursors and maintain it unchanged during their life span, gene expression (GE) profiling at the time of an AMI provides information concerning the platelet GE preceding the coronary event. In ST-segment elevation myocardial infarction (STEMI), a gene-by-gene analysis of the platelet GE identified five differentially expressed genes (DEGs): FKBP5, S100P, SAMSN1, CLEC4E and S100A12. The logistic regression model used to combine the GE in a STEMI vs healthy donors score showed an AUC of 0.95. The same five DEGs were externally validated using platelet GE data from patients with coronary atherosclerosis but without thrombosis. Early signals of an imminent AMI are likely to be found by platelet GE profiling before the infarction occurs.
2019-12-31 | GSE109048 | GEO
Project description:MicroRNAs are important cellular components and their dysfunctions are associated with various disease. Acute myocardial infarction (AMI) is one of the most serious cardiovascular diseases. Although several miRNAs have been reported to be associated with AMI, more novel miRNAs are needed to be investigated to ascertain if they are associated with AMI.
2010-01-05 | GSE19695 | GEO
Project description:MicroRNAs are important cellular components and their dysfunctions are associated with various disease. Acute myocardial infarction (AMI) is one of the most serious cardiovascular diseases. Although several miRNAs have been reported to be associated with AMI, more novel miRNAs are needed to be investigated to ascertain if they are associated with AMI. SD rats (180-200g) was divided into sham-control group and two days group after AMI, seven days group after AMI, fourteen days group after AMI, each group has six individual animals total RNA was taken from the border-zone myocardium , low molecular weight RNA was seperate and labeled , and then hybridized to capitalbio V2 biochip representing about 924 microRNA . three chip were test in each group, and the procedure was repeated twice.
2010-04-22 | E-GEOD-19695 | biostudies-arrayexpress
Project description:Acute myocardial infarction (AMI) is the leading cause of mortality worldwide. Dapagliflozin (DAPA), a sodium-glucose cotransporter-2 inhibitor (SGLT2i), is a new type of oral antidiabetic agent. Here, we examined the effects of DAPA on AMI and investigated the potential mechanisms.Heart tissue specimens were collected from C57BL/6J mice induced by ligation of the left anterior descending coronary artery and treated with DAPA at 1 mg/kg/day dose for 4 weeks after surgery. Echocardiography, histological staining, and RNA sequencing (RNA-seq) of these specimens were performed. The differentially expressed genes of interest were confirmed by qualitative RT-PCR (RT-qPCR) and western blotting (WB). In vitro experiments were performed to evaluate the effect of DAPA on myosin light-chain 4 (Myl4) upregulation and reduction of autophagy following hypoxic treatment. As a result, DAPA could improve cardiac function post MI by upregulating Myl4 and reducing autophagy; this finding suggests that the molecular regulation associated with Myl4 might be an important mechanism of AMI treatment by SGLT2i.
2024-03-01 | GSE248442 | GEO
Project description:Acute myocardial infarction (AMI) is one of the leading causes of death. It is particularly important to predict malignant ventricular arrhythmia (MVA) timely and accurately in patients with AMI. This study aimed to explore biomarkers and to reveal possible mechanisms of MVA in AMI for clinical diagnosis. Blood samples from 190 human subjects were collected to reveal the differentially expressed proteins (DEPs) in three comparisons (AMI/control, AMI+MVA/control, and AMI+MVA/AMI) in proteomics with bioinformatics analysis and validated in new cohorts. The diagnostic value of candidate DEPs predicting AMI+MVA was also evaluated by the receiver operating characteristic curve (ROC). A total of 8,365 peptides and 460 proteins from the LC-MS/MS analysis were identified with 90 in AMI/control, 94 in AMI+MVA/control, and 43 in AMI+MVA/AMI identified as DEPs. TGFBI level had notable decreasing trend in AMI+MVA (161.9 ± 19.0 ng/ml) compared with AMI (P<0.0001) or control (P<0.0001). vWF level in AMI+MVA patients was significantly higher than that in AMI patients (P<0.01) and control (P<0.0001). ROC analysis showed that TGFBI and vWF had the strong and potential value of predicting MVA in AMI. By constructing proteomics profile to identify the protein characteristics this study found that decreased TGFBI and increased vWF are the characteristics of proteins in the MVA patients with AMI. These findings provide new insight into the diagnosis and pathogenesis of the development of MVA. Further, decreased TGFBI and increased vWF are potential predicting biomarkers for diagnosis of MVA in AMI patients.
2024-01-26 | PXD041535 | Pride
Project description:To further development of our gene expression approach to biodosimetry, We through the detection of circular RNA (circRNA) using expression profiling chips, we searched for circRNAs related to acute myocardial infarction (AMI) and explored their relationship and possible mechanisms with AMI. The study subjects included 3 AMI patients and 3 controls, and circRNA expression profiling analysis was performed using a microarray gene chip to identify circRNAs with large differences in expression between groups and to construct a circRNA-microRNA (circRNA-miRNA) network.
2022-04-22 | GSE149051 | GEO
Project description:This study demonstrated that there were a number of dysregulated circRNAs in exosomes from OSA with AMI patients, which might be effectively served as a promising diagnostic biomarker and therapeutic targets. Objectives: Circular RNAs (circRNAs) are recently identified as a class of non-coding RNAs that participate in the incidence of acute myocardial infarction(AMI)
2022-02-23 | GSE197137 | GEO
Project description:Background: In spite of modern reperfusion therapies, morbidity and mortality of heart failure (HF) post myocardial infarction (MI) remain elevated. The aim of this study was to identify potential long non-coding RNAs (lncRNAs) and mRNAs in progression from acute myocardial infarction (AMI) to myocardial fibrosis (MF) to HF. Methods: Firstly, blood samples from 3 AMI patients, 3 MF patients and 3 HF patients were used for RNA sequencing. Secondly, differentially expressed lncRNAs and mRNAs were obtained in MF vs AMI and HF vs MF, followed by functional annotation of common differentially expressed mRNAs between two groups. Thirdly, interaction networks of lncRNA-nearby targeted mRNA and lncRNA-co-expressed mRNA were constructed in MF vs AMI and HF vs MF. Finally, expression validation and diagnostic capability analysis of selected lncRNAs and mRNAs were performed. Results: Several lncRNA-co-expressed/nearby targeted mRNAs pairs including AC005392.3/AC007278.2-IL18R1, AL356356.1/AL137145.2-PFKFB3 and MKNK1-AS1/LINC01127-IL1R2 were identified. Several signaling pathways including TNF signaling pathway and cytokine-cytokine receptor interaction (involved IL18R1), fructose and mannose metabolism and HIF-1 signaling pathway (involved PFKFB3), hematopoietic cell lineage and fluid shear stress and atherosclerosis (involved IL1R2) and estrogen signaling pathway (involved FKBP5) were screened out. FKBP5, IL1R2, IRAK3, LRG1, RNASE1 and PLAC4 had a potential diagnostic value for HF.
2021-07-13 | GSE168281 | GEO
Project description:Despite the significant reduction in the overall burden of cardiovascular disease (CVD) over the past decade, CVD still accounts for a third of all deaths in the United States and worldwide each year. While efforts to identify and reduce risk factors for atherosclerotic heart disease (i.e. hypertension, dyslipidemia, diabetes mellitus, cigarette smoking, inactivity) remain the focus of primary prevention, the inability to accurately and temporally predict acute myocardial infarction (AMI) impairs our ability to further improve patient outcomes. Our diagnostic evaluation for the presence of coronary artery disease relies on functional testing, which detects flow-limiting coronary stenosis, but we have known for decades that most lesions underlying AMI are only of mild to moderate luminal narrowings, not obstructing coronary blood flow. Accordingly, there is a dire need of improved diagnostics for underlying arterial plaque dynamics, fissure and rupture. Here we describe the designation of a specific gene expression pattern acting as a molecular signature for acute myocardial infarction present in whole blood of patients that was determined using microarray analysis of enriched circulating endothelial cells (CEC). We isolated circulating endothelial cells from patients experience acute myocardial infartion and healthy cohorts, and measured gene expression using the HG-133U_PLUS_2 microarray Circulating endothelial cells were isolated from patients experiencing acute myocardial infarction (n=49) and from healthy cohorts (n=50). The patients were separated into a discovery cohort (n=43) for biomarker discovery and model training; and into a validation cohort (n=56) for biomarker validation and model testing.
2015-02-28 | E-GEOD-66360 | biostudies-arrayexpress