Common Biochemical and Magnetic Resonance Imaging Biomarkers of Early Knee Osteoarthritis and of Exercise/Training in Athletes: A Narrative Review
Autor: | Jean-Pierre Pelletier, Johanne Martel-Pelletier, Patrice Paiement, Ginette Tardif |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
musculoskeletal diseases
medicine.medical_specialty Medicine (General) Clinical Biochemistry Early detection joint-loading sports Review Osteoarthritis Disease Joint disease Physical medicine and rehabilitation R5-920 Medicine magnetic resonance imaging Stage (cooking) biology medicine.diagnostic_test business.industry Athletes biomarkers Magnetic resonance imaging biology.organism_classification medicine.disease athletes Narrative review business early osteoarthritis human activities |
Zdroj: | Diagnostics, Vol 11, Iss 1488, p 1488 (2021) Diagnostics |
ISSN: | 2075-4418 |
Popis: | Knee osteoarthritis (OA) is the most common joint disease of the world population. Although considered a disease of old age, OA also affects young individuals and, more specifically among them, those practicing knee-joint-loading sports. Predicting OA at an early stage is crucial but remains a challenge. Biomarkers that can predict early OA development will help in the design of specific therapeutic strategies for individuals and, for athletes, to avoid adverse outcomes due to exercising/training regimens. This review summarizes and compares the current knowledge of fluid and magnetic resonance imaging (MRI) biomarkers common to early knee OA and exercise/training in athletes. A variety of fluid biochemical markers have been proposed to detect knee OA at an early stage; however, few have shown similar behavior between the two studied groups. Moreover, in endurance athletes, they are often contingent on the sport involved. MRI has also demonstrated its ability for early detection of joint structural alterations in both groups. It is currently suggested that for optimal forecasting of early knee structural alterations, both fluid and MRI biomarkers should be analyzed as a panel and/or combined, rather than individually. |
Databáze: | OpenAIRE |
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