Transciptome analysis of acute myocardial infarction
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE123487 | GEO | 2018/12/08
REPOSITORIES: GEO
Similar Datasets
Project description:Acute myocardial infarction (AMI) involves complex molecular events, including alterations in protein phosphorylation. In this study, we performed a comparative phosphoproteomic analysis of serum samples from AMI patients and healthy controls to identify AMI-associated phosphorylation signatures. Serum samples from eight AMI patients and two pooled controls underwent high-abundance protein depletion, enzymatic digestion with Trypsin/Lys-C, and phosphopeptide enrichment using Fe-NTA spin columns. Enriched phosphopeptides were analyzed by LC-MS/MS using a Q Exactive™ HF-X Orbitrap system.
2026-05-25 | PXD062749 | Pride
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. 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: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: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:The recovery from acute myocardial infarction (AMI) is influenced by physiological and psychological factors. While the physiological effects have been extensively studied, the contribution of psychological factors and whether they can be modulated is not completely clear. Here we show that the activity of the reward system, a brain network involved in motivation and positive expectation, affects outcomes in mice following AMI. We found that chemogenetic activation of dopaminergic neurons in the ventral tegmental area (VTA) significantly attenuated the remodeling process following AMI, resulting in improved left-ventricular performance compared to controls. VTA activation was associated with modulation of the immune response following AMI and increased blood vessel formation in the damaged area, mediated, at least in part, by changes in liver-secreted proteins. Together, our findings reveal a potential mechanism by which specific brain activity can affect the multifactorial systemic and local tissue response to AMI, introducing a novel target for therapeutic interventions
2024-05-03 | PXD043448 | Pride
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:CircRNAs are a new class of noncoding RNA and play regulatory roles in a variety of human diseases. However, the clinical significance of circRNAs in early-onset acute myocardial infarction (AMI) remains unknown. Therefore, we sought to explore the expression profile of circRNAs in early-onset AMI. Microarray was used to screen differentially expressed circRNAs between early-onset AMI patients and matched healthy controls.
2025-04-10 | GSE200572 | GEO
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