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Published in: BMC Cardiovascular Disorders 1/2021

Open Access 01-12-2021 | Angiography | Study protocol

Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial

Authors: Efstratios Karagiannidis, Georgios Sofidis, Andreas S. Papazoglou, Olga Deda, Eleftherios Panteris, Dimitrios V. Moysidis, Nikolaos Stalikas, Anastasios Kartas, Anastasios Papadopoulos, Leandros Stefanopoulos, Haralambos Karvounis, Helen Gika, Georgios Theodoridis, Georgios Sianos

Published in: BMC Cardiovascular Disorders | Issue 1/2021

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Abstract

Background

Coronary artery disease (CAD) remains one of the leading causes of mortality and morbidity worldwide. As oxygen and nutrient supply to the myocardium significantly decrease during ischemic periods, important changes occur regarding myocardial intermediary energy metabolism. Metabolomics is an emerging field in systems biology, which quantifies metabolic changes in response to disease progression. This study aims to evaluate the diagnostic utility of plasma metabolomics-based biomarkers for determining the complexity and severity of CAD, as it is assessed via the SYNTAX score.

Methods

Corlipid is a prospective, non-interventional cohort trial empowered to enroll 1065 patients with no previous coronary intervention history, who undergo coronary angiography in University Hospital AHEPA, Thessaloniki. Venous blood samples are collected before coronary angiography. State-of the-art analytical methods are performed to calculate the serum levels of novel biomarkers: ceramides, acyl-carnitines, fatty acids, and proteins such as galectin-3, adiponectin, and the ratio of apolipoprotein B/apolipoprotein A1. Furthermore, all patients will be categorized based on the indication for coronary angiography (acute coronary syndrome, chronic coronary syndrome, preoperative coronary angiography) and on the severity of CAD using the SYNTAX score. Follow-up of 12 months after enrollment will be performed to record the occurrence of major adverse cardiovascular events. A risk prediction algorithm will be developed by combining clinical characteristics with established and novel biomarkers to identify patients at high risk for complex CAD based on their metabolite signatures. The first patient was enrolled in July 2019 and completion of enrollment is expected until May 2021.

Discussion

CorLipid is an ongoing trial aiming to investigate the correlation between metabolic profile and complexity of coronary artery disease in a cohort of patients undergoing coronary angiography with the potential to suggest a decision-making tool with high discriminative power for patients with CAD. To our knowledge, Corlipid is the first study aspiring to create an integrative metabolomic biomarkers-based algorithm by combining metabolites from multiple classes, involved in a wide range of pathways with well-established biochemical markers.
Trial registration CorLipid trial registration: ClinicalTrials.gov number: NCT04580173. Registered 8 October 2020—Retrospectively registered, https://​clinicaltrials.​gov/​ct2/​show/​NCT04580173.
Literature
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Metadata
Title
Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
Authors
Efstratios Karagiannidis
Georgios Sofidis
Andreas S. Papazoglou
Olga Deda
Eleftherios Panteris
Dimitrios V. Moysidis
Nikolaos Stalikas
Anastasios Kartas
Anastasios Papadopoulos
Leandros Stefanopoulos
Haralambos Karvounis
Helen Gika
Georgios Theodoridis
Georgios Sianos
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Cardiovascular Disorders / Issue 1/2021
Electronic ISSN: 1471-2261
DOI
https://doi.org/10.1186/s12872-021-01865-2

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