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Emerging Biomarkers for Predicting Clinical Outcomes in Patients with Heart Disease. LIFE (BASEL, SWITZERLAND) 2023; 13:life13010230. [PMID: 36676179 PMCID: PMC9864006 DOI: 10.3390/life13010230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/31/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023]
Abstract
Cardiovascular disease is most frequently caused by the development and progression of atherosclerosis. When coronary arteries are afflicted, and the stenoses caused by atherosclerotic plaques are severe enough, the metabolic supply-and-offer balance is disturbed, leading to myocardial ischemia. If atherosclerotic plaques become unstable and local thrombosis develops, a myocardial infarction occurs. Sometimes, myocardial ischemia and infarction may result in significant and irreversible heart failure. To prevent severe complications, such as acute coronary syndromes and ischemia-related heart failure, extensive efforts have been made for developing biomarkers that would help identify patients at increased risk for cardiovascular events. In this two-part study, we attempted to provide a review of existing knowledge of blood biomarkers that may be used in this setting. The first part of this work was dedicated to conventional biomarkers, which are already used in clinical practice. In the second part, here presented, we discuss emerging biomarkers which have not yet become mainstream.
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Fontaine F, Legallois D, Créveuil C, Chtourou M, Coulbault L, Milliez P, Hodzic A, Saloux E, Beygui F, Allouche S. Is plasma concentration of coenzyme Q10 a predictive marker for left ventricular remodelling after revascularization for ST-segment elevation myocardial infarction? Ann Clin Biochem 2021; 58:327-334. [PMID: 33622041 DOI: 10.1177/00045632211001100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Left ventricular remodelling that frequently occurs after acute myocardial infarction is associated with an increased risk of heart failure and cardiovascular death. Although several risk factors have been identified, there is still no marker in clinical use to predict left ventricular remodelling. Plasma concentration of coenzyme Q10, which plays a key role in mitochondrial energy production and as an antioxidant, seems to be negatively correlated with left ventricular function after acute myocardial infarction. OBJECTIVE The goal of our study was to determine whether the plasma coenzyme Q10 baseline concentrations at time of the ST-elevation myocardial infarction (STEMI) could predict left ventricular remodelling at six months' follow-up. METHODS Sixty-eight patients who were admitted to hospital for STEMI and successfully revascularized with primary percutaneous coronary intervention were recruited. All patients underwent a 3D-echocardiography examination within the first four days after percutaneous coronary intervention and six months later then divided into two groups based on the presence or not of left ventricular remodelling. Plasma coenzyme Q10 concentration at the time of percutaneous coronary intervention was determined using high-performance liquid chromatography-tandem mass spectrometry. RESULTS While we found similar plasma coenzyme Q10 concentrations compared with other studies, no association was evidenced between coenzyme Q10 concentrations and left ventricular remodelling (P = 0.89). CONCLUSION We found no evidence for using plasma coenzyme Q10 concentration as an early prediction marker of left ventricular remodelling after STEMI.
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Affiliation(s)
- Fanny Fontaine
- Department of Biochemistry, University Hospital of Caen, Caen, France
| | - Damien Legallois
- Department of Cardiology, University Hospital of Caen, Caen, France.,Department of Signalisation, Électrophysiologie et Imagerie des Lésions d'Ischémie-Reperfusion Myocardique EA4650, Normandie Univ, UNICAEN, Caen, France
| | - Christian Créveuil
- Department of Biostatistics and Clinical Research, University Hospital of Caen, Caen, France
| | - Mohamed Chtourou
- Department of Biochemistry, University Hospital of Caen, Caen, France
| | - Laurent Coulbault
- Department of Biochemistry, University Hospital of Caen, Caen, France.,Department of Signalisation, Électrophysiologie et Imagerie des Lésions d'Ischémie-Reperfusion Myocardique EA4650, Normandie Univ, UNICAEN, Caen, France
| | - Paul Milliez
- Department of Cardiology, University Hospital of Caen, Caen, France.,Department of Signalisation, Électrophysiologie et Imagerie des Lésions d'Ischémie-Reperfusion Myocardique EA4650, Normandie Univ, UNICAEN, Caen, France
| | - Amir Hodzic
- Department of Clinical Physiology, INSERM Comete, Normandie Univ, UNICAEN, Caen, France
| | - Eric Saloux
- Department of Cardiology, University Hospital of Caen, Caen, France.,Department of Signalisation, Électrophysiologie et Imagerie des Lésions d'Ischémie-Reperfusion Myocardique EA4650, Normandie Univ, UNICAEN, Caen, France
| | - Farzin Beygui
- Department of Cardiology, University Hospital of Caen, Caen, France.,Department of Signalisation, Électrophysiologie et Imagerie des Lésions d'Ischémie-Reperfusion Myocardique EA4650, Normandie Univ, UNICAEN, Caen, France
| | - Stéphane Allouche
- Department of Biochemistry, University Hospital of Caen, Caen, France.,Department of Signalisation, Électrophysiologie et Imagerie des Lésions d'Ischémie-Reperfusion Myocardique EA4650, Normandie Univ, UNICAEN, Caen, France
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