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

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...

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Autores principales: Karagiannidis, Efstratios, Sofidis, Georgios, Papazoglou, Andreas S., Deda, Olga, Panteris, Eleftherios, Moysidis, Dimitrios V., Stalikas, Nikolaos, Kartas, Anastasios, Papadopoulos, Anastasios, Stefanopoulos, Leandros, Karvounis, Haralambos, Gika, Helen, Theodoridis, Georgios, Sianos, Georgios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869241/
https://www.ncbi.nlm.nih.gov/pubmed/33557756
http://dx.doi.org/10.1186/s12872-021-01865-2
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author Karagiannidis, Efstratios
Sofidis, Georgios
Papazoglou, Andreas S.
Deda, Olga
Panteris, Eleftherios
Moysidis, Dimitrios V.
Stalikas, Nikolaos
Kartas, Anastasios
Papadopoulos, Anastasios
Stefanopoulos, Leandros
Karvounis, Haralambos
Gika, Helen
Theodoridis, Georgios
Sianos, Georgios
author_facet Karagiannidis, Efstratios
Sofidis, Georgios
Papazoglou, Andreas S.
Deda, Olga
Panteris, Eleftherios
Moysidis, Dimitrios V.
Stalikas, Nikolaos
Kartas, Anastasios
Papadopoulos, Anastasios
Stefanopoulos, Leandros
Karvounis, Haralambos
Gika, Helen
Theodoridis, Georgios
Sianos, Georgios
author_sort Karagiannidis, Efstratios
collection PubMed
description 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.
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spelling pubmed-78692412021-02-08 Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial Karagiannidis, Efstratios Sofidis, Georgios Papazoglou, Andreas S. Deda, Olga Panteris, Eleftherios Moysidis, Dimitrios V. Stalikas, Nikolaos Kartas, Anastasios Papadopoulos, Anastasios Stefanopoulos, Leandros Karvounis, Haralambos Gika, Helen Theodoridis, Georgios Sianos, Georgios BMC Cardiovasc Disord Study Protocol 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. BioMed Central 2021-02-08 /pmc/articles/PMC7869241/ /pubmed/33557756 http://dx.doi.org/10.1186/s12872-021-01865-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Study Protocol
Karagiannidis, Efstratios
Sofidis, Georgios
Papazoglou, Andreas S.
Deda, Olga
Panteris, Eleftherios
Moysidis, Dimitrios V.
Stalikas, Nikolaos
Kartas, Anastasios
Papadopoulos, Anastasios
Stefanopoulos, Leandros
Karvounis, Haralambos
Gika, Helen
Theodoridis, Georgios
Sianos, Georgios
Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
title Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
title_full Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
title_fullStr Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
title_full_unstemmed Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
title_short Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial
title_sort correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the corlipid trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7869241/
https://www.ncbi.nlm.nih.gov/pubmed/33557756
http://dx.doi.org/10.1186/s12872-021-01865-2
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