Full length articleContrast enhanced computed tomography for real-time quantification of glycosaminoglycans in cartilage tissue engineered constructs
Graphical abstract
Introduction
Joint disorders are a major cause of morbidity and disability worldwide, and represent both significant healthcare and socio-economical burdens [1]. Osteoarthritis (OA) and joint trauma, which adversely affect articular cartilage, ultimately lead to its degradation over time [2], [3]. The extracellular matrix (ECM) of cartilage is mainly composed of proteoglycans, collagen II, and water [2]. The pathogenesis of degeneration is still poorly understood, however degradation is accompanied by breakdown of proteoglycans, which inherently induces a reduction in the mechanical properties and poorer functional performance of the tissue [2]. Currently, disease modifying therapies remain unavailable for OA and treatments are limited to pain relief and palliative care at early stages, and joint prosthesis at the end-stage [2], [4]. Hence, there is a need for new treatment modalities that promote tissue repair and regeneration. In this context, tissue engineering and regenerative medicine are of interest as therapeutic approaches [4], [5], which employ the use of cells, biomaterial scaffolds, and/or stimulatory factors to ultimately produce cartilaginous-like tissue [5]. Currently, most of the available techniques to assess the effects of these factors on matrix production and tissue quality are destructive. Usually, engineered-tissues are harvested at mid or endpoints and subjected to biochemical assays such as the 1,9-dimethylmethylene blue (DMMB) and hydroxyproline assays for quantification of total glycosaminoglycans (GAGs) and collagen content, respectively [6], [7]. In addition, constructs can be processed for histology and immunohistochemistry (IHC), which only provide a two-dimensional and qualitative assessment of matrix components and tissue quality [8], [9]. However, the detailed understanding of the regeneration process over time is crucial for achieving full regenerative potency in vitro and in vivo. Therefore, it is of significant importance to develop non-invasive and non-destructive imaging techniques for real-time, three-dimensional (3D), and quantitative monitoring of cartilage tissue-engineered constructs. Such techniques will enable monitoring of in vitro regeneration over time, evaluation of ECM components, optimization of chondrogenic activity, and, ultimately, screening to identify the best performing tissue constructs before implantation.
Efforts are ongoing to develop such tools and techniques. For example, ultrasound was used as a standalone procedure or in combination with fluorescence techniques to assess both matrix composition and mechanical properties in cartilage tissue-engineered constructs [10], [11], [12], [13], [14]. More recently, a set of reporter genes was described for transfection of MSCs as a monitoring tool for real-time characterization of the chondrogenic differentiation process [15]. Also dielectric impedance spectroscopy was proposed as a label-free and non-destructive method to evaluate cellular viability and survival during and after biofabrication processes [16]. Despite these recent advances, most of the described techniques are qualitative, do not quantify ECM components, or lack the resolution to assess the 3D distribution of the matrix components.
Contrast-enhanced computed tomographic (CECT) imaging is a rapid and readily available imaging modality used to study many different tissues [17], namely tissues with low X-ray attenuation to include articular cartilage [18], [19], [20], [21], [22], meniscus [23], [24], [25], intervertebral disc [26], [27], [28], and xiphoid cartilage [29]. Due to the compositional differences among these tissues, contrast agent diffusion and flux will vary [20], [24]. While GAGs are mainly responsible for electrostatic interactions, collagen fibers will drive steric hindrance [24]. CECT provides unique high-resolution 3D information and quantification on composition and distribution of crucial constituents within articular cartilage. Charge-driven transport of negatively or positively charged iodinated contrast agents (i.e., ioxaglate and CA4+, respectively) provides more efficient imaging of GAGs with greater sensitivity [30], [31], [32], [33]. Due to the anionic fixed charge of cartilage ECM, anionic contrast agents inversely correlate with GAG content, while positively-charged contrast agents display a positive correlation with GAG content with considerably higher sensitivity [18], [20], [28], [30], [34], [35], [36], [37], [38]. Hence, we hypothesize that CA4+-based CECT will allow for longitudinal imaging and GAG quantification in cartilage tissue-engineered constructs. In this work, we propose a CECT-based approach as a high-resolution 3D “histology” technique for real-time spatiotemporal quantification of total GAG content in tissue-engineered constructs, which potentially replaces the currently available destructive assays.
Section snippets
Cell isolation and culture
Human articular chondrocytes (ACs) were isolated from articular cartilage from patients with OA undergoing total knee arthroplasty. The anonymous use of redundant tissue for research purposes is part of the standard treatment agreement with patients in the University Medical Center Utrecht and was carried out under protocol n° 15–092 of the UMCU’s Review Board of the BioBank. Chondrocytes were isolated by mincing and subsequently digesting the cartilage overnight at 37 °C in Dulbecco’s Modified
Cytotoxicity
To determine the boundary concentration of CA4+ in terms of cytotoxicity, ACs were incubated with increasing concentrations of CA4+ (2–30 mgI/mL) for 3 and 24 h.
With concentrations up to 30 mgI/mL and 3 h incubation, no cytotoxic effects were detected at metabolic activity and LDH activity levels, yet an increased metabolic activity was observed for concentrations up to 8 mgI/ml (Fig. 1a and 1c). However, longer incubation times (24 h) led to a decrease in metabolic activity at concentrations
Discussion
Musculoskeletal diseases such as OA or cartilage injuries are in need of new therapies, and tissue engineering and regenerative medicine strategies hold significant promise [5]. However, for these strategies to rapidly progress to the clinic, additional quantitative techniques and tools are needed for the 3D and longitudinal monitoring of in vitro regeneration [33], [8], [43]. To this end, we show proof-of-concept for the applicability of a CECT-based method, by demonstrating a correlation
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This project has received funding from the European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 642414 and the Dutch Arthritis Foundation (LLP12). We thank Dr. Amit Patwa for synthesizing the CA4+. We thank Dr. Casper Beijst for the help with X-ray dose measurements. We thank Luís Garcia for providing the illustration for the graphical abstract.
Data availability
We confirm that all relevant data are available from the authors.
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