Observational studyBMC cardiovascular disorders2021
Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial.
Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04580173 (Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile), which is not on this map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile
Who cites it
13 citing papers in PubMed.
- Prognostic significance of metabolomic biomarkers in patients with diabetes mellitus and coronary artery disease.Cardiovascular diabetology · 2022Trial
- Lipidomic-Based Algorithms Can Enhance Prediction of Obstructive Coronary Artery Disease.Journal of proteome research · 2024Article
- New Modifiable Risk Factors Influencing Coronary Artery Disease Severity.International journal of molecular sciences · 2024Review
- Genome-scale metabolic network of human carotid plaque reveals the pivotal role of glutamine/glutamate metabolism in macrophage modulating plaque inflammation and vulnerability.Cardiovascular diabetology · 2024Article
- Metabolomic Profiling Reveals Biomarkers in Coronary Heart Disease Comorbidity.Journal of diabetes research · 2024Article
- Association of clinical, laboratory and imaging biomarkers with the occurrence of acute myocardial infarction in patients without standard modifiable risk factors - rationale and design of the "Beyond-SMuRFs Study".BMC cardiovascular disorders · 2023Article
- Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial.Metabolites · 2022Article
- Association of stress induced hyperglycemia with angiographic findings and clinical outcomes in patients with ST-elevation myocardial infarction.Cardiovascular diabetology · 2022Article
- Impact of religious fasting on metabolic and hematological profile in both dyslipidemic and non-dyslipidemic fasters.European journal of clinical nutrition · 2022Article
- Correlation of Serum Acylcarnitines with Clinical Presentation and Severity of Coronary Artery Disease.Biomolecules · 2022Article
- Angiographic severity in acute coronary syndrome patients with and without standard modifiable risk factors.Frontiers in cardiovascular medicine · 2022Article
- Association of GRACE Risk Score with Coronary Artery Disease Complexity in Patients with Acute Coronary Syndrome.Journal of clinical medicine · 2021Article
- Serum Ceramides as Prognostic Biomarkers of Large Thrombus Burden in Patients with STEMI: A Micro-Computed Tomography Study.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundCoronary 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.
methodsCorlipid 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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