Transcriptome analysis of circulating circRNA expression profiles from patients with coronary artery disease and healthy controls
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE252710 | GEO | 2024/06/01
REPOSITORIES: GEO
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Project description:We have employed whole genome microarray expression profiling as a discovery platform to identify genes involved in plaque rupture. Human coronary artery endothelial cells (ECs) were stimulated in vitro for 12 hours with plasma obtained from the coronary sinus (CS) and the aorta (Ao) of patients with ACS (n=8), or patients with stable angina (SA, n=4). For each patient, gene expression profile was evaluated by microarray technology in ECs exposed to plasma obtained from CS and compared to that of ECs exposed to plasma sampled from Ao. In patient with ACS we found 684 genes up-regulated and 283 down-regulated was observed as compared to patients with SA. Functional and network analyses of statistically significant gene showed that the up regulated genes were associated to pathways IL17 Signaling. To validate the microarray data the RNAs were used for Real Time PCR experiment. Human coronary artery endothelial cells (ECs) were stimulated in vitro for 12 hours with plasma obtained from the coronary sinus (CS) and the aorta (Ao) of patients with ACS (n=8), or patients with stable angina (SA, n=4). For each patient, gene expression profile was evaluated by microarray technology in ECs exposed to plasma obtained from CS and compared to that of ECs exposed to plasma sampled from Ao.
2014-02-14 | E-GEOD-54977 | biostudies-arrayexpress
Project description:Upon activation, platelets release a host of soluble and vesicular signals, collectively termed the ‘platelet releasate’ (PR). The contents of this PR play a significant role in haemostasis, inflammation, and pathologic sequelae. Despite this, proteomic studies investigating the PR in coronary artery disease have not been performed. We undertook a comparative label-free quantitative (LFQ) proteomic profiling of the 1U/ml thrombin-induced PR from 13 acute coronary syndrome (ACS-STEMI) versus 14 stable angina pectoris patients using a tandem mass spectrometry approach. We identified differentially released platet proteins including tetranectin (CLEC3B), protein disulfide-isomerase-A3 (PDIA3), coagulation factor V (F5) and fibronectin (FN1). Strikingly, all 9 differential proteins were associated with the GO cellular component term ‘extracellular vesicle’ and reduced levels of EVs were detected in plasma of ACS-STEMI patients. Network analysis revealed 3 PR proteins either reduced (F5; FN1) or absent (CLEC3B) in ACS-STEMI patients, which are strongly connected to both the clotting cascade and major druggable targets on platelets. This moderated signature highlights the possible basis of platelet dysfunction in ACS-STEMI and may prove useful for non-invasive risk assessment of the progression of coronary artery disease.
2020-06-05 | PXD009356 | Pride
Project description:We have employed whole genome microarray expression profiling as a discovery platform to identify genes involved in plaque rupture. Human coronary artery endothelial cells (ECs) were stimulated in vitro for 12 hours with plasma obtained from the coronary sinus (CS) and the aorta (Ao) of patients with ACS (n=8), or patients with stable angina (SA, n=4). For each patient, gene expression profile was evaluated by microarray technology in ECs exposed to plasma obtained from CS and compared to that of ECs exposed to plasma sampled from Ao. In patient with ACS we found 684 genes up-regulated and 283 down-regulated was observed as compared to patients with SA. Functional and network analyses of statistically significant gene showed that the up regulated genes were associated to pathways IL17 Signaling. To validate the microarray data the RNAs were used for Real Time PCR experiment.
2014-02-14 | GSE54977 | GEO
Project description:This study describes a circulating miRNA signature of unstable angina (UA), which may be used as a novel biomarker for unstable coronary artery disease (CAD). The Taqman low-density miRNA array were used to identify distinct miRNA expression profiles in the plasma of patients with typical UA and angiographically documented CAD (UA group, n = 13) compared to individuals with non-cardiac chest pain (control group, n = 13).
2013-08-13 | GSE49823 | GEO
Project description:This study describes a circulating miRNA signature of unstable angina (UA), which may be used as a novel biomarker for unstable coronary artery disease (CAD). The Taqman low-density miRNA array were used to identify distinct miRNA expression profiles in the plasma of patients with typical UA and angiographically documented CAD (UA group, n = 13) compared to individuals with non-cardiac chest pain (control group, n = 13). EDTA-plasma samples were obtained before the cardiac catheterization procedure.The study included 2 groups that were classified according to angiographic evidence and clinical evaluation of chest pain. Patients with chest pain or discomfort but with angiographic exclusion of coronary atherosclerosis were enrolled in the control group (n = 13). Chest discomfort referred to the following complaints: chest pain, pressure, tightness, or heaviness; pain that radiated to the neck, jaw, shoulders, back, or one or both arms; and persistent shortness of breath. Patients with typical unstable angina (UA) and angiographically documented CAD were enrolled in the UA group (n = 13).
2013-08-13 | E-GEOD-49823 | biostudies-arrayexpress
Project description:Acute coronary syndrome (ACS) is presented as a group of symptoms resulting from acute ischemia of the myocardium due to rupture of a coronary arterial plaque. It comprises different classes; unstable angina, STEMI and NSTEMI. The current cornerstones of ACS diagnosis are ECG, CK-MB and cardiac troponins however there are several limitations leading to evading early diagnosis and poor prognosis. This highlights the need for more sensitive and specific biomarkers for a better outcome. In this study,an initial screening set is RNA sequenced for retrieval of differentially expressed genes and miRNAs. Then, a microRNA-long non-coding RNA multi biomarker panel is retrieved via in silico data analysis related to PINK1/Parkin-induced mitophagy. This is followed by clinical validation of their expression in serum of ACS patients in comparison to non-cardiac chest pain patients and healthy volunteers via qRT-PCR.
2023-01-01 | GSE202937 | GEO
Project description:We developed a coronary plaque sampling approach that could be applied broadly in live patients with coronary artery disease (CAD) to obtain molecular and cellular insights into human coronary atherosclerosis. Our approach combined RNA retrieval directly from balloons used in percutaneous coronary interventions (PCI) and inexpensive, low-input RNA-Seq using SMART-seq. We generated SMART-Seq libraries from coronary samples from 27 patients. Of the 27 patients, 13 were confirmed to have stable CAD (sCAD) and 14 confirmed to have been performed on lesions causing acute coronary syndrome (ACS). We applied CIBERSORTx to analyze the SMART-seq data from each of the 27 samples. We found fibroblasts and fibromyoctes were enriched, while smooth muscle cells were reduced, in samples from ACS compared with sCAD patients. We identified 371 genes as significantly differential expressed (q<0.05) between sCAD and ACS patients.
2023-07-10 | GSE236610 | GEO
Project description:Background: Around 5% of children with asthma suffer from chronic symptoms and/or severe exacerbations despite extensive treatment. The causes of severe therapy-resistant childhood asthma are poorly understood. Objectives: To define global patterns of gene expression in severe therapy-resistant vs. controlled asthma and healthy controls. Methods: Children with severe, therapy-resistant (SA, n=20) and controlled asthma (CA, n=20) were identified from a Swedish nation-wide study including extensive clinical and immunological characterisation. In addition, healthy controls were recruited (Ctrl, n=19). White blood cells were isolated and the global transcriptome profile was characterised using the Affymetrix Human Gene ST 1.0 chip. Results: 1378 genes were differentially expressed in one or several of the CA vs. Ctrl, SA vs. CA or SA vs. Ctrl contrasts. A large number could uniquely differentiate the SA group from the CA (n=351 genes) and Ctrl (n=315) groups, whereas fewer genes differentiated the CA from the Ctrl group (n=149). Several non-coding RNAs were found up-regulated in SA compared to CA or Ctrl. Three significantly enriched KEGG pathways were represented; bitter taste transduction, TAS2Rs (up-regulated mostly in SA), natural killer cell mediated cytotoxicity (up-regulated in CA) and N-Glycan biosynthesis (down-regulated in SA). An unsupervised hierarchical clustering of the 1378 genes could crudely separate the SA, CA and Ctrl individuals. Conclusion: Our data indicate a separation in gene expression patterns between children with severe, therapy-resistant asthma and controlled persistent asthma, and suggest novel pathways characterizing the severe therapy-resistant asthma phenotype.
2011-12-01 | GSE27011 | GEO
Project description:Background: Around 5% of children with asthma suffer from chronic symptoms and/or severe exacerbations despite extensive treatment. The causes of severe therapy-resistant childhood asthma are poorly understood. Objectives: To define global patterns of gene expression in severe therapy-resistant vs. controlled asthma and healthy controls. Methods: Children with severe, therapy-resistant (SA, n=20) and controlled asthma (CA, n=20) were identified from a Swedish nation-wide study including extensive clinical and immunological characterisation. In addition, healthy controls were recruited (Ctrl, n=19). White blood cells were isolated and the global transcriptome profile was characterised using the Affymetrix Human Gene ST 1.0 chip. Results: 1378 genes were differentially expressed in one or several of the CA vs. Ctrl, SA vs. CA or SA vs. Ctrl contrasts. A large number could uniquely differentiate the SA group from the CA (n=351 genes) and Ctrl (n=315) groups, whereas fewer genes differentiated the CA from the Ctrl group (n=149). Several non-coding RNAs were found up-regulated in SA compared to CA or Ctrl. Three significantly enriched KEGG pathways were represented; bitter taste transduction, TAS2Rs (up-regulated mostly in SA), natural killer cell mediated cytotoxicity (up-regulated in CA) and N-Glycan biosynthesis (down-regulated in SA). An unsupervised hierarchical clustering of the 1378 genes could crudely separate the SA, CA and Ctrl individuals. Conclusion: Our data indicate a separation in gene expression patterns between children with severe, therapy-resistant asthma and controlled persistent asthma, and suggest novel pathways characterizing the severe therapy-resistant asthma phenotype. The transcriptomes of 59 subjects were assayed on the Affymetrix Human Gene ST 1.0 expression array. All samples passed pre-hybridisation quality control. After pre-processing and quality control of the post-hybridised arrays, five samples were regarded as outliers and removed (ctrl 510, MA 248, SA 141, SA 261, SA 41). The remaining sample set of 17 severe asthmatics (SA), 19 mild asthmatics (MA) and 18 controls (ctrl) were used for down-stream analysis.
2011-12-01 | E-GEOD-27011 | biostudies-arrayexpress
Project description:A comprehensive clinical and multi-omic profiling for 199 patients with acute coronary syndrome (ACS), an acute subcategory of CAD, that we recruited in two major Israeli hospitals. We demonstrate that ACS has distinct serum metabolome and gut microbial signatures, as compared to a control cohort. Metabolic aberrations linked with microbiome and diet show a gradual trend with significant metabolite deviations in control participants with metabolic impairment suggesting their involvement in earlier dysmetabolic phases preceding clinically overt CAD.
| EGAS00001005342 | EGA