scholarly journals Diagnosis of Coronary Heart Diseases Using Gene Expression Profiling; Stable Coronary Artery Disease, Cardiac Ischemia with and without Myocardial Necrosis

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0149475 ◽  
Author(s):  
Nabila Kazmi ◽  
Tom R. Gaunt
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Expression Profiling ◽  
Heart Diseases ◽  
Stable Coronary Artery Disease ◽  
Myocardial Necrosis ◽  
Cardiac Ischemia ◽  
Coronary Heart Diseases ◽  
Artery Disease

scholarly journals Diagnosis of coronary heart diseases using gene expression profiling; stable coronary artery disease, cardiac ischemia with and without myocardial necrosis

2015 ◽  
Author(s):  
Nabila Kazmi ◽  
Tom Gaunt
Keyword(s):  
Gene Expression ◽  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Unstable Angina ◽  
Stable Coronary Artery Disease ◽  
Myocardial Necrosis ◽  
Cardiac Ischemia ◽  
Myocardial Infraction ◽  
Artery Disease

AbstractCardiovascular disease including coronary artery disease and myocardial infarction is one of the leading causes of death in Europe, and is influenced by both environmental and genetic factors. With the advancements in genomic tools and technologies there is potential to predict and diagnose heart disease using molecular data from analysis of blood cells. We analyzed gene expression data from blood samples taken from normal people (n=21), non-significant coronary artery disease (n=93), patients with unstable angina (n=16), stable coronary artery disease (n=14) and myocardial infarction (MI; n=207). We used a feature selection approach to identify a set of gene expression variables which successfully differentiate different cardiovascular diseases. The initial features were discovered by fitting a linear model for each probe set across all arrays of normal individuals and patients with myocardial infarction. Three different feature optimisation algorithms were devised which identified two most discriminating sets of genes one using MI and normal controls (total genes=8) and another one using MI and unstable angina patients (total genes=17). The results proved the diagnostic robustness of the final feature sets in discriminating not only patients with myocardial infraction from healthy controls but also from patients with clinical symptoms of cardiac ischemia with myocardial necrosis and stable coronary artery disease despite the influence of batch effects and different microarray gene chips and platforms. selection approach to identify a set of gene expression variables which successfully differentiate different cardiovascular diseases. The initial features were discovered by fitting a linear model for each probe set across all arrays of normal individuals and patients with myocardial infarction. Three different feature optimisation algorithms were devised which identified two most discriminating sets of genes one using MI and normal controls (total genes=8) and another one using MI and unstable angina patients (total genes=17). The results proved the diagnostic robustness of the final feature sets in discriminating not only patients with myocardial infraction from healthy controls but also from patients with clinical symptoms of cardiac ischemia with myocardial necrosis and stable coronary artery disease despite the influence of batch effects and different microarray gene chips and platforms.

scholarly journals Gene expression profiling in whole blood of patients with coronary artery disease

2010 ◽  
Vol 119 (8) ◽  
pp. 335-343 ◽  
Author(s):  
Chiara Taurino ◽  
William H. Miller ◽  
Martin W. McBride ◽  
John D. McClure ◽  
Raya Khanin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Gene Expression Profiling ◽  
Whole Blood ◽  
Expression Profiling ◽  
Gene Expression Analysis ◽  
Differentially Expressed ◽  
Differentially Expressed Mirnas ◽  
Artery Disease

Owing to the dynamic nature of the transcriptome, gene expression profiling is a promising tool for discovery of disease-related genes and biological pathways. In the present study, we examined gene expression in whole blood of 12 patients with CAD (coronary artery disease) and 12 healthy control subjects. Furthermore, ten patients with CAD underwent whole-blood gene expression analysis before and after the completion of a cardiac rehabilitation programme following surgical coronary revascularization. mRNA and miRNA (microRNA) were isolated for expression profiling. Gene expression analysis identified 365 differentially expressed genes in patients with CAD compared with healthy controls (175 up- and 190 down-regulated in CAD), and 645 in CAD rehabilitation patients (196 up- and 449 down-regulated post-rehabilitation). Biological pathway analysis identified a number of canonical pathways, including oxidative phosphorylation and mitochondrial function, as being significantly and consistently modulated across the groups. Analysis of miRNA expression revealed a number of differentially expressed miRNAs, including hsa-miR-140-3p (control compared with CAD, P=0.017), hsa-miR-182 (control compared with CAD, P=0.093), hsa-miR-92a and hsa-miR-92b (post- compared with pre-exercise, P<0.01). Global analysis of predicted miRNA targets found significantly reduced expression of genes with target regions compared with those without: hsa-miR-140-3p (P=0.002), hsa-miR-182 (P=0.001), hsa-miR-92a and hsa-miR-92b (P=2.2×10−16). In conclusion, using whole blood as a ‘surrogate tissue’ in patients with CAD, we have identified differentially expressed miRNAs, differentially regulated genes and modulated pathways which warrant further investigation in the setting of cardiovascular function. This approach may represent a novel non-invasive strategy to unravel potentially modifiable pathways and possible therapeutic targets in cardiovascular disease.

Preoperative Rosuvastatin Protects Patients with Coronary Artery Disease Undergoing Noncardiac Surgery

Cardiology ◽  
2015 ◽  
Vol 131 (1) ◽  
pp. 30-37 ◽  
Author(s):  
Jinggang Xia ◽  
Yang Qu ◽  
Chunlin Yin ◽  
Dong Xu
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Emergency Surgery ◽  
Stable Coronary Artery Disease ◽  
Myocardial Necrosis ◽  
Noncardiac Surgery ◽  
Control Group ◽  
Artery Disease ◽  
Experimental Group

Objectives: We explored whether preoperative rosuvastatin could protect the cardiac health of patients with coronary artery disease undergoing emergency, noncardiac surgery. Methods: We randomized 550 noncardiac emergency surgery patients with stable coronary artery disease on long-term statin therapy to treatment with and without preoperative rosuvastatin. All patients received rosuvastatin after surgery. We evaluated the incidence of myocardial necrosis and major adverse cardiovascular and cerebrovascular events (MACCE) 30 days and 6 months after surgery. Results: Creatinine kinase-myocardial band (CK-MB) isoform elevations occurred less frequently 12 and 24 h after noncardiac emergency surgery in the experimental group than in the control group (p = 0.029). After surgery, the incidence of MACCE was also lower in the experimental group than in the control group (p = 0.019). The difference was mainly due to the incidence of perioperative myocardial infarction (p = 0.029). Multivariable analysis found that rosuvastatin reload reduced the incidence of MACCE 52% 6 months after surgery (p = 0.03). Conclusions: Preoperative rosuvastatin reload therapy decreases the incidence of myocardial necrosis and MACCE after noncardiac emergency surgery in patients with stable coronary artery disease on long-term statin therapy.

scholarly journals Gene expression profiling of CD133-positive cells in coronary artery disease

2015 ◽  
Vol 12 (5) ◽  
pp. 7512-7516 ◽  
Author(s):  
JIAYU LI ◽  
CHANGYU ZHOU ◽  
JIARUI LI ◽  
YINGCHUN WAN ◽  
TAO LI ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Artery Disease

scholarly journals Role of Highly Sensitive Cardiac Troponin T Assay in Stable Coronary Artery Disease

2018 ◽  
Vol 39 (1) ◽  
pp. 44-49
Author(s):  
Raymond Pranata ◽  
Nico Kusuma ◽  
Rachel Vania ◽  
Bambang Budi Siswanto
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Troponin T ◽  
Stable Coronary Artery Disease ◽  
Myocardial Necrosis ◽  
Highly Sensitive ◽  
Ischemic Episode ◽  
Coronary Syndromes ◽  
Artery Disease ◽  
Highly Sensitive Troponin

Cardiac troponins (cTn) are the preferred biomarkers of myocardial necrosis, usually used for diagnosis and risk stratification in acute coronary syndromes. Highly sensitive troponin T (hs-cTnT) may be elevated in stable coronary artery disease (SCAD), in which subclinical plaque erosion or rupture and distal embolization and subclinical ischemic episode. hs-cTnT may be used as a prognostic marker in SCAD and can predict cardiovascular events and patient’s mortality rate. In this article, plaque characteristic that is linked to hs-cTnT, it’s used as prognostic biomarker and comparison to other indicators are the focus of discussion.   Abstrak Troponin adalah biomarker yang paling disukai untuk mendeteksi nekrosis miokardium dan untuk mendiagnosis dan stratifikasi risiko pada sindrom koroner akut. Highly sensitive troponin T (hs-cTnT) dapat meningkat pada penyakit jantung koroner stabil dimana terjadi ruptur plak atau erosi dan embolisasi distal sublklinis, dan episode iskemik subklinis. Sehingga biomarker tersebut dapat digunakan sebagai marker prognostik pada penyakit jantung koroner stabil dan dapat memprediksi angka kejadian kardiovaskular dan tingkat mortalitas pasien. Pada artikel ini akan dibahas mengenai karakteristik plak yang dihubungkan dengan peningkatan hs-cTnT, pengunaan sebagai biomarker prognostik dan serta perbandingan dengan indikator lainnya.

Gene expression profiling of coronary artery disease and its relation with different severities

2018 ◽  
Vol 97 (4) ◽  
pp. 853-867
Author(s):  
Shiridhar Kashyap ◽  
Sudeep Kumar ◽  
Vikas Agarwal ◽  
Durga P. Misra ◽  
Shubha R. Phadke ◽  
...  
Keyword(s):  
Gene Expression ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Artery Disease
Sign in / Sign up

Export Citation Format

Share Document