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MiRNA profiling of plasma samples: patients with unstable coronary artery disease and controls

ABSTRACT: 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).

ORGANISM(S): Homo sapiens

PROVIDER: GSE49823 | GEO | 2013/08/13

SECONDARY ACCESSION(S): PRJNA215023

REPOSITORIES: GEO

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miRNA profiling of plasma samples: patients with unstable coronary artery disease and controls

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

Characterisation of Myocardial Infarction and Unstable Angina with mRNA Profiles from Whole Blood of individual patients

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Characterisation of Myocardial Infarction and Unstable Angina with mRNA Profiles from Whole Blood of individual patients

Project description:Coronary artery disease (CAD) remains a leading cause of death worldwide. Acute coronary syndromes (ACS) are the spectrum of diseases arising from coronary atherosclerotic plaque rupture, ranging from unstable angina (UA; clinical symptoms of cardiac ischemia without myocardial necrosis) to myocardial infarction (MI; clinical symptoms of cardiac ischemia with myocardial necrosis). We use microrray to identify changes in pathways following MI.This study examines mRNA expression levels in human whole blood at 7 and 30 days post ACS. Patients with MI are compared to those with UA (not healthy controls), thus focusing on differences in mRNA expression due to the acute clinical events rather than underlying atherosclerosis and its treatment. We recruited 26 patients presenting with acute coronary syndromes (ACS); 8 with unstable angina (UA) and 18 with MI. Supplementary files: The files contain the combined values (for each group) of the single patients' expression levels, the fold changes and the significance levels associated. Gene expression levels were estimated using probabilistic models implemented in puma (Propagating Uncertainty in Microarray Analysis, bioconductor.org), which provide estimates for the variance and credibility interval for probe level errors of each transcript. FCs were calculated after combining gene expression values within groups using Bayesian hierarchical model, incorporating probe level errors into the variance estimate. Significance levels for differentially expressed genes were detected by calculating the probability of positive log ratio (PPLR). The higher is the probability the more confident is the estimate of that positive FC, conversely the lower is the probability the more confident is the estimate of that FC to be negative. This model was implemented in the pumaComb and pumaDE modules within puma. file1 = mRNA_MI_combday30_exprs file2 = mRNA_MI_combDay7_exprs

2011-05-06 | E-GEOD-29111 | biostudies-arrayexpress

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A multi biomarker panel of miRNA-lncRNA interaction; a novel approach for early diagnosis of Acute coronary syndrome

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.

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