The Emerging Role of Bone Markers in Diagnosis and Risk Stratification of Patients With Coronary Artery Disease

Author:

Kosmopoulos Marinos1,Paschou Stavroula A.2,Grapsa Julia3,Anagnostis Panagiotis4,Vryonidou Andromachi5,Goulis Dimitrios G.4,Siasos Gerasimos6

Affiliation:

1. Division of Cardiology, Department of Medicine, University of Minnesota School of Medicine, Minneapolis, MN, USA

2. Division of Endocrinology and Diabetes, “Aghia Sophia” Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece

3. Barts Heart Center, St Bartholomew’s Hospital, London, UK

4. Unit of Reproductive Endocrinology, First Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece

5. Department of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece

6. First Department of Cardiology, Hippokration Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece

Abstract

Molecules that govern bone metabolism, such as osteoprotegerin (OPG) and osteopontin (OPN), have been isolated from other tissues, including blood vessels. Atherosclerosis and coronary artery disease (CAD) are leading causes of mortality worldwide. Despite novel biochemical and imaging techniques, early detection of CAD is still unsatisfactory. Experimental data indicate that bone turnover markers (BTMs) contribute to the development of atherosclerosis. This finding has sparked interest in their clinical use. This narrative review analyzed information from >50 human studies, which strongly suggest that OPG, OPN, and alkaline phosphatase (ALP) serum concentrations are altered in patients with CAD. Osteoprotegerin seems to be more useful for the detection of early disease, while OPN and ALP are recruited in vessels after the establishment of disease. Osteocalcin may be used as a flow cytometry marker for endothelial progenitor cells and can constitute a marker to monitor response to interventional treatments and risk of restenosis. However, most data derive from observational studies. Incorporation of BTMs in multifactorial computational algorithms could further determine their role in CAD diagnosis and prognosis together with other imaging techniques and biochemical markers.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine

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