Contrast enhanced computed tomography for real-time quantification of glycosaminoglycans in cartilage tissue engineered constructs.


Journal

Acta biomaterialia
ISSN: 1878-7568
Titre abrégé: Acta Biomater
Pays: England
ID NLM: 101233144

Informations de publication

Date de publication:
12 2019
Historique:
received: 03 04 2019
revised: 06 09 2019
accepted: 11 09 2019
pubmed: 4 10 2019
medline: 9 9 2020
entrez: 4 10 2019
Statut: ppublish

Résumé

Tissue engineering and regenerative medicine are two therapeutic strategies to treat, and to potentially cure, diseases affecting cartilaginous tissues, such as osteoarthritis and cartilage defects. Insights into the processes occurring during regeneration are essential to steer and inform development of the envisaged regenerative strategy, however tools are needed for longitudinal and quantitative monitoring of cartilage matrix components. In this study, we introduce a contrast-enhanced computed tomography (CECT)-based method using a cationic iodinated contrast agent (CA4+) for longitudinal quantification of glycosaminoglycans (GAG) in cartilage-engineered constructs. CA4+ concentration and scanning protocols were first optimized to ensure no cytotoxicity and a facile procedure with minimal radiation dose. Chondrocyte and mesenchymal stem cell pellets, containing different GAG content were generated and exposed to CA4+. The CA4+ content in the pellets, as determined by micro computed tomography, was plotted against GAG content, as measured by 1,9-dimethylmethylene blue analysis, and showed a high linear correlation. The established equation was used for longitudinal measurements of GAG content over 28 days of pellet culture. Importantly, this method did not adversely affect cell viability or chondrogenesis. Additionally, the CA4+ distribution accurately matched safranin-O staining on histological sections. Hence, we show proof-of-concept for the application of CECT, utilizing a positively charged contrast agent, for longitudinal and quantitative imaging of GAG distribution in cartilage tissue-engineered constructs. STATEMENT OF SIGNIFICANCE: Tissue engineering and regenerative medicine are promising therapeutic strategies for different joint pathologies such as cartilage defects or osteoarthritis. Currently, in vitro assessment on the quality and composition of the engineered cartilage mainly relies on destructive methods. Therefore, there is a need for the development of techniques that allow for longitudinal and quantitative imaging and monitoring of cartilage-engineered constructs. This work harnesses the electrostatic interactions between the negatively-charged glycosaminoglycans (GAGs) and a positively-charged contrast agent for longitudinal and non-destructive quantification of GAGs, providing valuable insight on GAG development and distribution in cartilage engineered constructs. Such technique can advance the development of regenerative strategies, not only by allowing continuous monitoring but also by serving as a pre-implantation screening tool.

Identifiants

pubmed: 31580960
pii: S1742-7061(19)30626-9
doi: 10.1016/j.actbio.2019.09.014
pii:
doi:

Substances chimiques

Contrast Media 0
Glycosaminoglycans 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

202-212

Informations de copyright

Copyright © 2019 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

Auteurs

João P Garcia (JP)

Department of Orthopedics, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.

Alessia Longoni (A)

Department of Oral and Maxillofacial Surgery & Special Dental Care, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.

Debby Gawlitta (D)

Department of Oral and Maxillofacial Surgery & Special Dental Care, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.

Antoine J W P Rosenberg (A)

Department of Oral and Maxillofacial Surgery & Special Dental Care, University Medical Center Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.

Mark W Grinstaff (MW)

Departments of Chemistry and Biomedical Engineering, Boston University, MA 02215, Boston, USA.

Juha Töyräs (J)

Department of Applied Physics, University of Eastern Finland, Yliopistonranta 1F, 70210 Kuopio, Finland; Diagnostic Imaging Centre, Kuopio University Hospital, Puijonlaaksontie 2, 70210 Kuopio, Finland; School of Information Technology and Electrical Engineering, The University of Queensland, St Lucia Campus, QLD 4072, Brisbane, Australia.

Harrie Weinans (H)

Department of Orthopedics, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands; Department of Biomechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands.

Laura B Creemers (LB)

Department of Orthopedics, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands.

Behdad Pouran (B)

Department of Orthopedics, University Medical Centre Utrecht, Heidelberglaan 100, 3508 GA Utrecht, The Netherlands; Department of Biomechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD Delft, The Netherlands. Electronic address: b.pouran@umcutrecht.nl.

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Classifications MeSH