Investigating the Association of Metabolic Biomarkers With Knee Cartilage Composition and Structural Abnormalities Using MRI: A Pilot Study.

Autor: Ashmeik W; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Baal JD; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Foreman SC; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.; Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany., Joseph GB; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Bahroos E; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Han M; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Krug R; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA., Link TM; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
Jazyk: angličtina
Zdroj: Cartilage [Cartilage] 2021 Dec; Vol. 13 (1_suppl), pp. 630S-638S. Date of Electronic Publication: 2020 Aug 06.
DOI: 10.1177/1947603520946376
Abstrakt: Objective: The goal of this study was to explore the metabolic syndrome-associated phenotype of osteoarthritis by investigating the cross-sectional associations of glycemic markers and serum lipids with knee cartilage composition and structural abnormalities in middle-aged adults.
Design: Twenty participants between 40 to 70 years of age with Kellgren-Lawrence score 0-1 in at least one knee were recruited at a single center. Knee cartilage composition was assessed using 3.0 T cartilage T 2 and T 1ρ mapping. Evaluation of structural knee abnormalities was performed using the modified Whole-Organ Magnetic Resonance Imaging Score (WORMS). Linear regression was used to assess the associations of standardized fasting glucose (FG), hemoglobin A1c (HbA1c), insulin, total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), non-HDL cholesterol, and triglycerides with cartilage T 2 and T 1ρ as well as WORMS subscores, adjusting for body mass index.
Results: Higher FG and higher HbA1c were associated with higher WORMS meniscus sum (beta coefficient 1.31 [95% confidence interval (CI): 0.57, 2.05], P = 0.002 per standard deviation [SD] increase in FG; beta coefficient 0.90 [95% CI: 0.07, 1.73], P = 0.035 per SD increase in HbA1c). Also, higher total cholesterol and higher non-HDL cholesterol were associated with higher WORMS cartilage sum (beta coefficient 0.94 [95% CI: 0.01, 1.86], P = 0.048 per SD increase in total cholesterol; beta coefficient 1.05 [95% CI: 0.14, 1.96], P = 0.03 per SD increase in non-HDL cholesterol).
Conclusions: Higher FG and HbA1c were associated with increased meniscal degeneration while higher total and non-HDL cholesterol were associated with increased cartilage degeneration.
Databáze: MEDLINE
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