Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model

Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model
Microscale system for mechanical confined compression of 3D cell micro-constructs. Microscale system for mechanical confined compression of 3D cell microconstructs. (a) The microscale system consists of two compartmentalized PDMS microchambers, featuring configurable geometries and separated by a PDMS membrane, as defined in the sketch. (b), The top compartment is subdivided, by means of two rows of T-shaped hanging posts (white), into a central channel hosting the 3D microconstruct (blue) and two side channels for medium supplementation (red). The bottom chamber (grey) represents the actuation compartment. (c), During rest position, the bottom compartment is kept at atmospheric pressure and the membrane is flat. (d), By pressurizing the bottom compartment, the PDMS membrane deforms, compressing the 3D microconstruct and eventually abutting against the posts’ ends, causing confined compression of the microconstruct. (e), Photograph of an assembled device. (f), Stereomicroscope image showing T-shaped posts viewed from above. Scale bar, 100 µm. Credit: Nature Biomedical Engineering, doi: 10.1038/s41551-019-0406-3

In an aging population, the social impact of osteoarthritis (OA) can dramatically increase to become the most common musculoskeletal disease. However, at present, therapies are limited to palliative treatments or surgical intervention alone, since disease-modifying OA (DMOA) drugs are scarce, primarily due to the absence of relevant preclinical models of the disease. As a result, tissue engineers and materials scientists aim to develop in vitro models for reliably predicting the efficacy of the requisite DMOA drugs.

To address this biomedical challenge, Paola Occhetta and an interdisciplinary research team in the departments of Biomedicine, Biomedical Engineering, Electronics, Information and Bioengineering in Switzerland developed a micro-physiological cartilage-on-a-chip model. Using the device, the scientists applied strain-controlled compression to the three-dimensional articular cartilage microtissue and recapitulated the mechanical factors involved in OA pathogenesis with an optimal 30 percent confined compression to induce OA traits in the lab.

Using only hyper-physiological compression (HPC) on the device, the scientists triggered a shift in cartilage homeostasis towards catabolism, inflammation and hypertrophy. Thereafter they obtained gene expression profiles similar to those observed in clinical osteoarthritic tissue. Occhetta et al. envision biomedical applications of the cartilage-on-a-chip device to screen clinical DMOA candidates in the near future. The results of the study are now published in Nature Biomedical Engineering.

Osteoarthritis is the most prevalent human with its incidence expected to increase in an to become a leading cause by 2020. Despite the prevalence, there is currently a lapse of available and effective pathology-reversing treatments, compelling medical research to develop new therapies and advanced strategies on bone tissue engineering. The complex and multifactorial etiology of OA can increase the difficulty in engineering a relevant preclinical model. While in vivo models provide a better reflection of the naturally occurring whole-joint disease, they are time consuming and costly. In vitro models are a highly desirable alternative, as they meet the 3R principles of replacing or reducing animal models and refining translational studies. However, the existing in vitro models of OA are too simplistic to encompass physiological features and predict the screening effects of drug candidates.

Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model
PEG hydrogel strain field simulated to demonstrate 30% compression. Credit: Nature Biomedical Engineering, doi: 10.1038/s41551-019-0406-3

The main difficulty of reproducing cartilage tissue in vitro is due to the reliance of recapitulating the pathological disease either as a biochemical (cytokine-based) or mechanical (load-based) stimulation. Cytokine-based models rely on an overdose of inflammatory cocktails that induce a downstream effect, contrary to the actual OA environment found in vivo. In contrast, load-based models can trigger an OA-like response without supraphysiological doses of the biochemical stimuli.

Increasing evidence also correlates mechanical abnormalities such as obesity, trauma or joint misalignment to the onset of OA, classifying biomechanics as a key player disease progression. Load-based models are largely based on macroscale bioreactors to generate a pathological load response, yet they fail to fine tune the required microenvironmental stimuli. As an alternative, organs on chips devices are an emerging technology that can encapsulate organ functions at the microscale with unprecedented adherence to the pathophysiology in vivo for drug screening tests.

Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model
Construct deformation field: computations and experimental validation. (a), Top view and 3D schematics of the region considered in the computations. The minimal region of interest is shaded in dark grey. Symmetry planes were considered as boundary conditions. Both the rest position (undeformed) and the compressed gel state (deformed) are displayed. (b), Strain deformation field normal directions. The strain field is reported through nominal strain (NE) values in the normal directions xx, yy and zz. Lateral and longitudinal expansions are limited in the central gel constructs and the strain distribution is homogeneous. Peaks appear corresponding to the windows between posts. (c), Experimental evaluation of the deformation field. Polystyrene beads were embedded in PEG gel. Displacement of the beads was assessed on compression of the gel, and strains were measured along x and y, resulting in values of 2.21% ± 2.20% and 0.59% ± 2.38%, respectively. The white dots and clear circles are representative of two pairs of beads used for strain measurements along x and y, respectively. Scale bar, 100 μm. The picture shows the deformed state. A total of n= 9 independent experiments were performed and n= 7 pairs of beads per experiment were used to assess the strain along each direction. (d), Comparison of NExx and NEyy values predicted numerically and estimated experimentally. The experimental results show good adherence to computational estimates for strains along both the x (εxx) and y (εyy) directions. Data are plotted as means ± s.d. A total of n= 63 pairs of beads (for experimental results) and nodes (for computational results) were considered for each direction. Credit: Nature Biomedical Engineering, doi: 10.1038/s41551-019-0406-3

In the present work, Occhetta et al, developed a microscale system to reproducibly generate a human cartilage-on-a-chip (COC). For this, they used mechanical actuation to recapitulate the mechanical stimuli inherent in OA pathogenesis, using compression specifically as a mode of cartilage deformation. The bioengineers induced OA traits in the COC device, shifting matrix deposition and resorption balance towards catabolism to trigger a gene profile that correlated with clinical OA symptoms. The scientists used the device to test new disease-modifying OA (DMOA) candidates of anti-inflammation and anti-degradation in the present work.

The device contained two chambers divided by a flexible membrane into an upper chamber hosting the 3-D micro-construct and a lower chamber as an actuation compartment realized with polydimethylsiloxane (PDMS) polymer. Based on a concept previously developed by the same research team, Occhetta et al. developed a COC device by:

  1. Confining a cell-laden prepolymer solution for the seeding and polymerization phases,
  2. Defining a length to control the mechanism of mechanical actuation.

The scientists maintained the 3-D construct initially in a relaxed state, followed by designs to achieve 10 to 30 percent compression levels. They first tested the highest compression level using a finite element model (FEM) and used an enzymatically cross-linked matrix metalloproteinase (MMP) degradable poly (ethylene glycol) (PEG)-based hydrogel to mimic the 3-D microenvironment. The bioinspired hydrogel architecture mimicked the cartilage to exhibit largely nonlinear and strain-dependent behavior via interactions between the two material constituents of a solid matrix and an incompressible permeating fluid. They validated the numerical results experimentally to achieve the expected levels of mechanical actuation within the device.

Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model
Establishment of a human model of healthy COC. (a), Aggrecan, collagen type I and collagen type II expression was assessed by immunofluorescence, revealing a dense cartilage-like ECM deposition after 14 d of differentiation. Representative pictures for one donor are shown. Scale bar, 100 µm. DAPI, 4′,6-diamidino-2-phenylindole. (b), COC maturation was also confirmed by the statistically significant increase in GAG production during the 14 d of differentiation (*P= 0.0446; **P= 0.0011, one-way ANOVA with Bonferroni’s, single-pooled variance, multiple comparison test; n= 9 biologically independent samples from n= 3 different donors). (c,d), COL2A1/COL1A1 expression ratio (c; n= 15 biologically independent samples from n= 5 different donors), and time course expression of a panel of genes characterizing articular cartilage (d; n= 15 biologically independent samples from n= 5 different donors), quantified by RT-qPCR and compared with expression levels in native freshly isolated healthy chondrocytes (red, n= 3 biologically independent samples from a pool of n= 5 different donors). All gene expression values are normalized relative to GAPDH expression, and values are log scaled. The results are expressed as means (centre values) ± s.d. (measure of dispersion). Significance in d (*(a)P= 0.0268; *(b)P= 0.0237; *(c)P= 0.0353; d, *(d)P= 0.019; *(e)P= 0.0393; **P= 0.0021; ***P. Credit: Nature Biomedical Engineering, doi: 10.1038/s41551-019-0406-3

Occhetta et al. established the microscale device as a model of human COC using human articular chondrocytes (hACs) from healthy donors, embedded in the PEG gel. They obtained a cartilage micro-construct after 14 days of chondrogenic culture with geometric control for subsequent mechanical stimulation, which they verified using immunofluorescence assays and gene expression profiles. The scientists revealed high deposits of differentiated cartilaginous proteins that formed ECM rich collagen types I, II and aggrecan in the micro-construct. They similarly showed significantly increased articular cartilage-specific at day 14 using qRT-PCR.

Using the established COC, the scientists applied mechanical stimulation through an electro-pneumatic actuation system at different levels of compression, for seven days. The induced mechanical patterns on the device resembled the biomechanics of a daily walk routine. The overall results of biochemical, molecular and mechanical assays showed that the hyper-physiological load conditions simulated in the COC triggered a loss of anabolic gene expression to mimic traits of OA. Similarly, Occhetta et al. investigated the impact of mechanical compression on catabolic and inflammatory profiles to suggest the onset of inflammation due to significant upregulation of a key pro-inflammatory cytokine interleukin 8 (IL-8) in the model.

Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model
Drug screening using the OA COC model. a–d, Expression levels of MMP13 (a and c) and IL8 (b and d) in response to the administration of known anti-inflammatory/anticatabolic compounds (a and b) and thermally depolymerized HYADD 4 and LMW hyaluronic acid (~50 kDa) (c and d) were evaluated by RT-qPCR. On generation of the OA COC model, drugs were supplemented to the culture medium for three days, while maintaining HPC. DMSO was used as the vehicle. The mean expression value of the healthy control is represented by the red horizontal line, while the mean expression of the untreated control is represented by the black horizontal line. In a and b, statistics by one-way ANOVA with Dunnett’s multiple comparison tests (normal distributions; MMP13) or Kruskal–Wallis test with Dunn’s multiple comparison test (non-normal distributions; IL8) (**(a)P= 0.0012; **(b)P= 0.0030; ***P. Credit: Nature Biomedical Engineering, doi: 10.1038/s41551-019-0406-3

The hyper-physiological compression model also included the expression of several genes correlating to OA to match the gene expression profile of the disease. Suggesting that the model triggered the hypertrophic differentiation of hACs (human articular chondrocytes) towards transient chondrocytes. Occhetta et al. were able to regulate some of the genes by administering supraphysiological doses of anti-inflammatory drugs within the COC model.

In order to pharmacologically validate the OA COC model, the scientists first removed both serum and transforming growth factor beta (TGF-β) in the medium to avoid masking the pharmacotherapeutic effects. They selected two drugs; interleukin-1 receptor antagonist (1L-1Ra) and rapamycin. In the COC model, rapamycin, which is a mammalian target rapamycin (mTOR) inhibitor, specifically reduced the expression of MMP13 gene (matrix metallopeptidase 13) and only had a significant effect on IL-8 when administered at the highest dose. The scientists also tested a pharmaceutical candidate currently in commercial development and further verified the efficacy of the new COC model, consistent with previous preclinical and clinical reports.

In this way, Occhetta and co-workers developed and established a microscale system within a PEG-hydrogel-based 3-D microenvironment, which included a mechanical actuation system. They allowed defined levels of confined compression in the setup to mimic the biomechanics of OA in an in vitro of the disease. Using the device as a proof-of-principle drug screening tool, the scientists tested DMOA (disease modifying osteoarthritic) drugs and potential pharmaceutical candidates in the lab. Occhetta et al. aim to optimize the device to reproduce structural and functional cues to study the biomechanical response of tissues such as bone under pathophysiological conditions and therapeutic intervention in healthcare.

More information: Paola Occhetta et al. Hyperphysiological compression of articular cartilage induces an osteoarthritic phenotype in a cartilage-on-a-chip model, Nature Biomedical Engineering (2019). DOI: 10.1038/s41551-019-0406-3

Johannes WJ Bijlsma et al. Osteoarthritis: an update with relevance for clinical practice, The Lancet (2011). DOI: 10.1016/S0140-6736(11)60243-2

Eric W. Esch et al. Organs-on-chips at the frontiers of drug discovery, Nature Reviews Drug Discovery (2015). DOI: 10.1038/nrd4539

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Citation: Inducing an osteoarthritic (OA) phenotype in a cartilage-on-a-chip (COC) model (2019, June 17) retrieved 20 April 2024 from
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