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A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance

Osteoarthritis in synovial joints remains a major cause of long-term disability worldwide, with symptoms produced by the progressive deterioration of the articular cartilage. The earliest cartilage changes are thought to be alteration in its main protein components, namely proteoglycan and collagen....

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Autores principales: Broche, Lionel M., James Ross, P., Kennedy, Brett W.C., MacEachern, Campbell F., Lurie, David J., Ashcroft, George P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Istituti Editoriali e Poligrafici Internazionali 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382587/
https://www.ncbi.nlm.nih.gov/pubmed/34242886
http://dx.doi.org/10.1016/j.ejmp.2021.05.034
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author Broche, Lionel M.
James Ross, P.
Kennedy, Brett W.C.
MacEachern, Campbell F.
Lurie, David J.
Ashcroft, George P.
author_facet Broche, Lionel M.
James Ross, P.
Kennedy, Brett W.C.
MacEachern, Campbell F.
Lurie, David J.
Ashcroft, George P.
author_sort Broche, Lionel M.
collection PubMed
description Osteoarthritis in synovial joints remains a major cause of long-term disability worldwide, with symptoms produced by the progressive deterioration of the articular cartilage. The earliest cartilage changes are thought to be alteration in its main protein components, namely proteoglycan and collagen. Loss of proteoglycans bound in the collagen matrix which maintain hydration and stiffness of the structure is followed by collagen degradation and loss. The development of new treatments for early osteoarthritis is limited by the lack of accurate biomarkers to assess the loss of proteoglycan. One potential biomarker is magnetic resonance imaging (MRI). We present the results of a novel MRI methodology, Fast Field-Cycling (FFC), to assess changes in critical proteins by demonstrating clear quantifiable differences in signal from normal and osteoarthritic human cartilage for in vitro measurements. We further tested proteoglycan extracted cartilage and the key components individually. Three clear signals were identified, two of which are related predominantly to the collagen component of cartilage and the third, a unique very short-lived signal, is directly related to proteoglycan content; we have not seen this in any other tissue type. In addition, we present the first volunteer human scan from our whole-body FFC scanner where articular cartilage measurements are in keeping with those we have shown in tissue samples. This new clinical imaging modality offers the prospect of non-invasive monitoring of human cartilage in vivo and hence the assessment of potential treatments for osteoarthritis. Keywords: Fast Field-Cycling NMR; human hyaline cartilage; Osteoarthritis; T1 dispersion; quadrupolar peaks; protein interactions
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spelling pubmed-83825872021-08-30 A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance Broche, Lionel M. James Ross, P. Kennedy, Brett W.C. MacEachern, Campbell F. Lurie, David J. Ashcroft, George P. Phys Med Article Osteoarthritis in synovial joints remains a major cause of long-term disability worldwide, with symptoms produced by the progressive deterioration of the articular cartilage. The earliest cartilage changes are thought to be alteration in its main protein components, namely proteoglycan and collagen. Loss of proteoglycans bound in the collagen matrix which maintain hydration and stiffness of the structure is followed by collagen degradation and loss. The development of new treatments for early osteoarthritis is limited by the lack of accurate biomarkers to assess the loss of proteoglycan. One potential biomarker is magnetic resonance imaging (MRI). We present the results of a novel MRI methodology, Fast Field-Cycling (FFC), to assess changes in critical proteins by demonstrating clear quantifiable differences in signal from normal and osteoarthritic human cartilage for in vitro measurements. We further tested proteoglycan extracted cartilage and the key components individually. Three clear signals were identified, two of which are related predominantly to the collagen component of cartilage and the third, a unique very short-lived signal, is directly related to proteoglycan content; we have not seen this in any other tissue type. In addition, we present the first volunteer human scan from our whole-body FFC scanner where articular cartilage measurements are in keeping with those we have shown in tissue samples. This new clinical imaging modality offers the prospect of non-invasive monitoring of human cartilage in vivo and hence the assessment of potential treatments for osteoarthritis. Keywords: Fast Field-Cycling NMR; human hyaline cartilage; Osteoarthritis; T1 dispersion; quadrupolar peaks; protein interactions Istituti Editoriali e Poligrafici Internazionali 2021-08 /pmc/articles/PMC8382587/ /pubmed/34242886 http://dx.doi.org/10.1016/j.ejmp.2021.05.034 Text en © 2021 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Broche, Lionel M.
James Ross, P.
Kennedy, Brett W.C.
MacEachern, Campbell F.
Lurie, David J.
Ashcroft, George P.
A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance
title A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance
title_full A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance
title_fullStr A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance
title_full_unstemmed A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance
title_short A new method for investigating osteoarthritis using Fast Field-Cycling nuclear magnetic resonance
title_sort new method for investigating osteoarthritis using fast field-cycling nuclear magnetic resonance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8382587/
https://www.ncbi.nlm.nih.gov/pubmed/34242886
http://dx.doi.org/10.1016/j.ejmp.2021.05.034
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