Utilizing state-of-the-art “omics” technology and bioinformatics to identify new biological mechanisms and biomarkers for coronary artery disease

2018 ◽  
Vol 26 (2) ◽  
pp. e12488 ◽  
Author(s):  
Stephen T. Vernon ◽  
Thomas Hansen ◽  
Katharine A. Kott ◽  
Jean Y. Yang ◽  
John F. O'Sullivan ◽  
...  
2018 ◽  
Vol 118 (09) ◽  
pp. 1517-1527 ◽  
Author(s):  
Bashar Hannawi ◽  
Yousef Hannawi ◽  
Neal Kleiman

AbstractPlatelets play an essential role in the pathophysiology of atherothrombosis. Reticulated platelets (RPs) are the youngest platelet population in the circulation; their presence is an indicator of platelet turnover. Circulating levels of RPs are increased in patients with coronary artery disease and stroke. Preliminary indications are that the proportion of circulating RP is associated with the likelihood of ischaemic events such as acute coronary syndrome and stroke. Plausible mechanisms include: (1) increased participation of these platelets in thrombosis due to messenger ribonucleic acid that may be translated to active proteins, (2) lack of exposure to anti-platelet drugs since they are newly released from the bone marrow or (3) their presence is a non-specific marker of inflammation. In this state-of-the-art review, we discuss the implication of RP in coronary artery disease and in hypo-responsiveness to the most commonly used anti-platelet drugs.


2013 ◽  
Vol 34 (4) ◽  
pp. 254-262 ◽  
Author(s):  
Norton Luis Oliveira ◽  
Fernando Ribeiro ◽  
Alberto Jorge Alves ◽  
Lilibeth Campos ◽  
José Oliveira

2000 ◽  
Vol 6 (S1) ◽  
pp. S53-S56 ◽  
Author(s):  
Jeffrey S. Plotkin ◽  
Lynt B. Johnson ◽  
Vinod Rustgi ◽  
Paul C. Kuo

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Qurat-ul-ain Mastoi ◽  
Teh Ying Wah ◽  
Ram Gopal Raj ◽  
Uzair Iqbal

Coronary artery disease (CAD) is the most dangerous heart disease which may lead to sudden cardiac death. However, CAD diagnoses are quite expensive and time-consuming procedures which a patient need to go through. The aim of our paper is to present a unique review of state-of-the-art methods up to 2017 for automatic CAD classification. The protocol of review methods is identifying best methods and classifier for CAD identification. The study proposes two workflows based on two parameter sets for instances A and B. It is necessary to follow the proper procedure, for future evaluation process of automatic diagnosis of CAD. The initial two stages of the parameter set A workflow are preprocessing and feature extraction. Subsequently, stages (feature selection and classification) are same for both workflows. In literature, the SVM classifier represents a promising approach for CAD classification. Moreover, the limitation leads to extract proper features from noninvasive signals.


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