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Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile

Conditions
Coronary Artery Disease
Registration Number
NCT04580173
Lead Sponsor
AHEPA University Hospital
Brief Summary

The purpose of the research project is to investigate the potential association of the complexity and the severity of coronary artery disease (as assessed via SYNTAX score) with patients' metabolic profile. The aim of the study is to combine biochemical, clinical and laboratory data in order to create an algorithm that will enable an individualized therapeutic patient approach.

Detailed Description

The objective of this observational study is to expand our knowledge on the biochemical process and pathogenesis of atherogenesis and to recognize clinically important metabolic biomarkers correlated with the severity and clinical presentation of Coronary Artery Disease (CAD). 1050 patients who will undergo coronary angiography will be enrolled in the study. SYNTAX score will be calculated for all participants and their blood samples will be collected before coronary angiography. Metabolomics-based analysis will be performed in order to confirm CAD prognostic biomarkers previously reported in the literature and to investigate their correlations with CAD clinical data. The ultimate aim of this study is to predict the risk of cardiovascular events by incorporating metabolomic information into the SYNTAX score and provide personalized therapeutic guidance to patients.

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
1050
Inclusion Criteria
  1. Patients giving voluntary written consent to participate in the study
  2. Adults
  3. Patients without previous history of coronary artery disease
  4. Patients who are admitted in the Department of Cardiology in the AHEPA University General Hospital of Thessaloniki and undergo coronary angiography for clinical purposes
Exclusion Criteria
  1. Cardiac Arrest at admission
  2. Patients with serious concurrent disease and life expectancy of < 1 year

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Relationship between metabolic profile and the SYNTAX score12 months

Serum metabolomic biomarkers (ceramides, acyl-carnitines, total fatty acids and protein markers: Galectin-3, Neutrophil Gelatinase-Associated Lipocalin, Adiponectin, ApolipoproteinB/ ApolipoproteinΑ-Ι) will be quantified using metabolomics-based methods and enzyme-linked immunosorbent assay. The SYNTAX score will be calculated for all patients. Correlation between patients' metabolic profile and the SYNTAX score will be performed.

Secondary Outcome Measures
NameTimeMethod
Concentration of serum total fatty acids12 months

Quantification of total fatty acids (C10:0, C12:0, C14:0, C15:0, C16:0, C16:1, C17:0, C18:0, C18:1 cis, C18:2 cis, C20:0, C18:3 n6, C18:3 n3, C20:1, C20:2, C22:0, C20:3 n6, C22:1 \& C20:4, C23:0, C20:5, C24:0, C24:1, C22:6) using a developed gas chromatography with flame-ionization method.

Concentration of serum acyl-carnitines12 months

Quantification of serum acyl-carnitines (C2, C3, C4, isoC4, C5, isoC5, C6, C8, C10, C12, C14, C16, C18, C18:1 C18:2) using a developed hydrophilic interaction chromatography tandem mass spectrometry method.

Concentration of serum selective protein markers12 months

Quantification of selective protein markers (Galectictin-3, NGAL, Adiponectin, ApoB/ ApoΑ-Ι)

Concentration of serum ceramide species12 months

Quantification of serum ceramide species (C18:0/16:0, C18:0/18:0, C18:0/24:0 and C18:0/24:1) using a developed Ultra-high performance liquid chromatography tandem mass spectrometry method.

Major Adverse Cardiovascular and Cerebrovascular Events12 months

Cardiovascular death, myocardial infarction, stent thrombosis, revascularization and stroke

Trial Locations

Locations (1)

AHEPA University Hospital

🇬🇷

Thessaloníki, Greece

AHEPA University Hospital
🇬🇷Thessaloníki, Greece
Georgios Sianos, MD PhD FESC
Contact
2310994837
gsianos@auth.gr
Georgios Sianos, PhD
Principal Investigator
Georgios Theodoridis, PhD
Principal Investigator
Helen Gika, PhD
Principal Investigator
Efstratios Karagiannidis, MSc
Sub Investigator
Eleftherios Panteris, PhD
Sub Investigator
Georgios Sofidis, PhD
Sub Investigator
Olga Deda, PhD
Sub Investigator
Olga Begou, PhD
Sub Investigator
Thomais Mouskeftara, MSc
Sub Investigator
Thomas Meikopoulos, MSc
Sub Investigator

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