Design and Rationale of the ERA-CVD Consortium PREMED-CAD-Precision Medicine in Coronary Artery Disease

Standard

Design and Rationale of the ERA-CVD Consortium PREMED-CAD-Precision Medicine in Coronary Artery Disease. / Shrivastava, Apurva; Marzolla, Vincenzo; Weidmann, Henri; Caprio, Massimiliano; Tregouet, David-Alexandre; Zeller, Tanja; Karakas, Mahir.

In: BIOMOLECULES, Vol. 10, No. 1, 125, 11.01.2020.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{bc0d2a1a2440408e9765a98956f2ed4a,
title = "Design and Rationale of the ERA-CVD Consortium PREMED-CAD-Precision Medicine in Coronary Artery Disease",
abstract = "Cardiovascular diseases (CVDs) comprise 45% of all deaths in Europe and causes 3.9 million deaths annually. Coronary artery disease (CAD) which includes myocardial infarction (MI) represents the most common form of CVD. A relevant proportion of MI cases seems preventable since reports claim that up to two-thirds of these patients exhibit symptoms suggestive for MI within 12 months prior to the acute MI event. An early identification of these at-risk subjects is necessary to manage an early and efficient treatment during the ischemic phase. The aim of the PRecision MEDicine in Coronary Artery Disease (PREMED-CAD) consortium is to apply a system medicine approach towards studying and identifying an ischemia specific 'biomarker signature' that improves the identification of individuals 'at-risk' for acute MI. The consortium will take an interdisciplinary and translational approach integrating knowledge from CAD epidemiology, imaging, bioinformatics, statistics and molecular biology, as well as existing phenotypic, blood-based and clinical biomarker data of distinct CAD and subclinical MI phenotypes. This biomarker signature will be validated through atherosclerosis-prone mouse models and human cohorts. The validated signature will be translated in a real-world clinical setting using an ongoing clinical trial comprising patients with subclinical ischemia. The aim of the knowledge obtained from this project is to aid in early MI detection and reduce the mortality and morbidity rate in these at-risk MI individuals.",
keywords = "Animals, Biomarkers/analysis, Computational Biology, Coronary Artery Disease/blood, Female, Humans, Male, Mice, Myocardial Infarction/blood, Precision Medicine, Risk Factors",
author = "Apurva Shrivastava and Vincenzo Marzolla and Henri Weidmann and Massimiliano Caprio and David-Alexandre Tregouet and Tanja Zeller and Mahir Karakas",
year = "2020",
month = jan,
day = "11",
doi = "10.3390/biom10010125",
language = "English",
volume = "10",
journal = "BIOMOLECULES",
issn = "2218-273X",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "1",

}

RIS

TY - JOUR

T1 - Design and Rationale of the ERA-CVD Consortium PREMED-CAD-Precision Medicine in Coronary Artery Disease

AU - Shrivastava, Apurva

AU - Marzolla, Vincenzo

AU - Weidmann, Henri

AU - Caprio, Massimiliano

AU - Tregouet, David-Alexandre

AU - Zeller, Tanja

AU - Karakas, Mahir

PY - 2020/1/11

Y1 - 2020/1/11

N2 - Cardiovascular diseases (CVDs) comprise 45% of all deaths in Europe and causes 3.9 million deaths annually. Coronary artery disease (CAD) which includes myocardial infarction (MI) represents the most common form of CVD. A relevant proportion of MI cases seems preventable since reports claim that up to two-thirds of these patients exhibit symptoms suggestive for MI within 12 months prior to the acute MI event. An early identification of these at-risk subjects is necessary to manage an early and efficient treatment during the ischemic phase. The aim of the PRecision MEDicine in Coronary Artery Disease (PREMED-CAD) consortium is to apply a system medicine approach towards studying and identifying an ischemia specific 'biomarker signature' that improves the identification of individuals 'at-risk' for acute MI. The consortium will take an interdisciplinary and translational approach integrating knowledge from CAD epidemiology, imaging, bioinformatics, statistics and molecular biology, as well as existing phenotypic, blood-based and clinical biomarker data of distinct CAD and subclinical MI phenotypes. This biomarker signature will be validated through atherosclerosis-prone mouse models and human cohorts. The validated signature will be translated in a real-world clinical setting using an ongoing clinical trial comprising patients with subclinical ischemia. The aim of the knowledge obtained from this project is to aid in early MI detection and reduce the mortality and morbidity rate in these at-risk MI individuals.

AB - Cardiovascular diseases (CVDs) comprise 45% of all deaths in Europe and causes 3.9 million deaths annually. Coronary artery disease (CAD) which includes myocardial infarction (MI) represents the most common form of CVD. A relevant proportion of MI cases seems preventable since reports claim that up to two-thirds of these patients exhibit symptoms suggestive for MI within 12 months prior to the acute MI event. An early identification of these at-risk subjects is necessary to manage an early and efficient treatment during the ischemic phase. The aim of the PRecision MEDicine in Coronary Artery Disease (PREMED-CAD) consortium is to apply a system medicine approach towards studying and identifying an ischemia specific 'biomarker signature' that improves the identification of individuals 'at-risk' for acute MI. The consortium will take an interdisciplinary and translational approach integrating knowledge from CAD epidemiology, imaging, bioinformatics, statistics and molecular biology, as well as existing phenotypic, blood-based and clinical biomarker data of distinct CAD and subclinical MI phenotypes. This biomarker signature will be validated through atherosclerosis-prone mouse models and human cohorts. The validated signature will be translated in a real-world clinical setting using an ongoing clinical trial comprising patients with subclinical ischemia. The aim of the knowledge obtained from this project is to aid in early MI detection and reduce the mortality and morbidity rate in these at-risk MI individuals.

KW - Animals

KW - Biomarkers/analysis

KW - Computational Biology

KW - Coronary Artery Disease/blood

KW - Female

KW - Humans

KW - Male

KW - Mice

KW - Myocardial Infarction/blood

KW - Precision Medicine

KW - Risk Factors

U2 - 10.3390/biom10010125

DO - 10.3390/biom10010125

M3 - SCORING: Journal article

C2 - 31940748

VL - 10

JO - BIOMOLECULES

JF - BIOMOLECULES

SN - 2218-273X

IS - 1

M1 - 125

ER -