Skip to main content

ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol., 09 May 2023
Sec. Tissue Engineering and Regenerative Medicine
This article is part of the Research Topic Advanced Materials and Models in the Establishment and Repair of Pathological Microenvironment View all 11 articles

A cytokine-induced spheroid-based in vitro model for studying osteoarthritis pathogenesis

Annachiara Scalzone,Annachiara Scalzone1,2Giorgia CerqueniGiorgia Cerqueni3Xiao Nong WangXiao Nong Wang4Kenny DalgarnoKenny Dalgarno1Monica Mattioli-BelmonteMonica Mattioli-Belmonte3Ana M. Ferreira-DuarteAna M. Ferreira-Duarte1Piergiorgio Gentile
Piergiorgio Gentile1*
  • 1School of Engineering, Newcastle University, Newcastle UponTyne, United Kingdom
  • 2Center for Advanced Biomaterials for Healthcare@CRIB Istituto Italiano di Tecnologia, Napoli, Italy
  • 3Department of Clinical and Molecular Sciences (DISCLIMO), Università Politecnica delle Marche, Ancona, Italy
  • 4Translational and Clinical Research Institute, Newcastle University, Newcastle UponTyne, United Kingdom

Given the lack of in vitro models faithfully reproducing the osteoarthritis (OA) disease on-set, this work aimed at manufacturing a reliable and predictive in vitro cytokine-based Articular Cartilage (AC) model to study OA progression. Cell spheroids of primary human fetal chondrocytes (FCs) and h-TERT mesenchymal stem cells differentiated chondrocytes (Y201-C) were analysed in terms of growth kinetics, cells proliferation and apoptosis over 10 days of culture, in healthy condition or in presence of cytokines (interleukin-1ß, −6 and TNF-α). Then, the spheroids were assembled into chondrospheres using a bottom-up strategy, to obtain an in vitro cytokines-induced OA model. The resulting chondrospheres were evaluated for gene expression and anabolic ECM proteins. Compared to the healthy environment, the simulated OA environment induced chondrocyte hyperproliferation and apoptotic pathway, decreased expression of anabolic ECM proteins, and diminished biosynthetic activity, resembling features of early-stage OA. These characteristics were observed for both Y201-C and HC at high and low concentrations of cytokines. Both HC and Y201-C demonstrated the suitability for the manufacturing of a scaffold-free in vitro OA model to facilitate studies into OA pathogenesis and therapeutic strategies. Our approach provides a faithful reproduction of early-stage osteoarthritis, demonstrating the ability of obtaining different disease severity by tuning the concentration of OA-related cytokines. Given the advantages in easy access and more reproducible performance, Y201-C may represent a more favourable source of chondrocytes for establishing more standardized protocols to obtain OA models.

1 Introduction

Among different forms of joint diseases, the progressive degeneration of Articular Cartilage (AC) due to osteoarthritis (OA) is the most common and chronic, with a global prevalence of weight-bearing joints such as the hip and knee (Yuan et al., 2003; Cross et al., 2014). OA and the associated burden costs are revealing an increasing impact worldwide, representing a major public health challenge (Kloppenburg & Berenbaum, 2020). Being a “whole joint” disease, OA pathophysiology involves cellular changes, structural defects and dysfunction of all the joint compartments, i.e., cartilage, bone and synovium (Scanzello & Goldring, 2012; Rigoglou & Papavassiliou, 2013). In healthy AC, chondrocytes have an active biosynthetic activity, expressing and synthesizing anabolic markers like collagen type 2 (Coll II) and aggrecan. During OA, chondrocytes tend to both proliferate, possibly due to better access of chondrocytes to proliferative factors from the synovial fluid, caused by damages to the matrix itself, and to undergo an inappropriate hypertrophy-like maturation and become apoptotic (at late OA) (Blanco et al., 1998). Current studies have demonstrated a central role of the inflammatory process, mediated by pro-inflammatory mediators (i.e., cytokines and chemokines) in OA pathogenesis, which are responsible for the production of degradative enzymes (i.e., aggrecanases and collagenases) by chondrocytes while inhibiting their anabolic activity. These enzymes digest the extracellular matrix (ECM), causing aggrecan cleavage and Coll II fibrillation (Valdes, 2010).

Several therapeutic strategies have been exploited for OA treatment, based on the level of pain and degeneration of the diarthrodial joint. Amongst those, regenerative medicine approaches (i.e., autologous chondrocyte implantation, ACI) increased in popularity in the field in the last two decades. Particularly, a variation of ACI, called Chondrosphere® has been clinically approved and recommended by the NICE in 2017 for treating symptomatic AC defect up to 10 cm2. Since OA progression is a complex, dynamic, and metabolically active process that involves the balance between anabolic and catabolic processes affecting the joint tissues, there is still a lack of knowledge about the OA evolution process and its internal mechanisms (Gikas et al., 2009).

In this scenario, reliable and predictive in vitro models of AC tissues in healthy and OA conditions play a critical role in advancing the understanding of the physiology, biology, and pathological progression of OA, and will contribute hugely to the development of novel regenerative treatments for OA (Grenier et al., 2014; Johnson et al., 2016). A variety of proinflammatory cytokines are commonly used to induce the ECM degradation seen in human OA which involves factors i.e., interleukins (IL-1α, IL-1β, IL-6, IL-8, IL-9) and tumour necrosis factor (TNF-α) (Gabriel et al., 2010; Novakofski et al., 2012; Sylvester et al., 2012). Amongst them IL-1β, TNF-α and IL-6 are the three cytokines mostly induced in OA pathogenesis and possess a synergic effect: (i) IL-1β, which was found to inhibit Coll II and proteoglycans (PGs) and stimulate the production of MMP1,3,13, (ii) IL-6 to activate NF-kB pathway and downregulate the enzymatic antioxidant defenses in chondrocytes with mitochondria; (iii) TNF-α, which can activate the NF-kB pathway, increase the expression of MMPs, inhibit anabolic molecules, and stimulate chondrocytes apoptosis (Fan et al., 2007; Calich et al., 2010; Meliconi et al., 2013; Löfgren et al., 2018). Particularly, lots of studies focused on IL-1β and successfully demonstrated the effect of therapeutic compounds on the OA-induced model; whereas TNF-α and IL-6, which play a main role in the pathophysiology of OA, have only been investigated in a few experimental trials (Bondeson et al., 2010; Goldring & Goldring, 2016). In addition, the concentration of cytokines used for in vitro studies up to date is lower than the ones detected in synovial fluid of OA patients, therefore it is hard to obtain a faithful representation of the native OA environment (Bartolotti et al., 2021). Despite several in vitro models having been developed and refined over the years, there is still no confirmed gold standard which can be applied when developing OA drug molecules and/or drug delivery systems.

Thus, this work aims to study the OA progression in a multiple cytokines-induced in vitro AC model. To this goal, a pathological model is designed by loading the cell media with a cocktail of cytokines including IL-1ß, IL-6 and TNF-α. The use of a combination of cytokines would induce OA-like cell and tissue responses to closely resemble the native disease, particularly taking into consideration the importance of synovium effects in the model design (Johnson et al., 2016). This pathological model was based on a reliable in vitro model of healthy AC, developed in our previous work (Scalzone et al., 2022b), whereas cytokines concentration was selected according to their prevalence in OA synovial fluid (Sohn et al., 2012). The main features which distinguish Healthy and OA conditions were analyzed with primary human fetal chondrocytes (FC) and Y201 TERT mesenchymal stem cells differentiated chondrocytes (Y201-C) using a pathological in vitro OA model.

2 Experimental section

2.1 Materials

All the reagents were obtained from Sigma-Aldrich (United Kingdom) unless differently stated. The ultrapure water employed (dH2O) throughout the experiments was obtained with a Milli-Q Integral system equipped with a BioPak ultrafiltration cartridge (Millipore, Merck).

2.2 Cell culture: FCs and Y201-C

FC was cultured (Cell Application, United States) in ready-to-use Chondrocyte Growth Medium (PromoCell, United Kingdom) at 37°C in a humidified atmosphere incubator containing 5% CO2. At 80% confluence, cells were detached with trypsin-EDTA (PAA-Laboratories GmbH, Germany) and subcultured to passage 6 for experiments. Human TERT immortalised bone marrow stromal cells (Y201) were supplied by Prof P. Genever (York University) and cultured at 37°C and 5% CO2 in Dulbecco’s Modified Eagle Medium (DMEM) with low glucose content, supplemented with 10% Foetal bovine serum (FBS), 2 mM L-glutamine and a 1% Penicillin/Streptomycin (P/S). After the expansion, cells were differentiated in chondrocytes (Y201-C), as previously reported (Scalzone et al., 2022b).

2.3 Manufacturing of in vitro OA model

Spheroids were formed as previously reported in our work (Scalzone et al., 2023). Briefly, FC (passage 6) and Y201-C (passage 15) were seeded in a round bottom non-tissue treated 96-well plate (ThermoFisher Scientific, United Kingdom) at a density of 2 × 105 cells/well, suspended in 150 µL of DMEM/F12 supplemented with 0.25% (w/v) methylcellulose (MC). Then, the multi-well plates were incubated at 37°C and 5% CO2 for 10 days. After 1 day of culture, three different conditions were set for the spheroids, as reported in Table 1, and the media was changed every 2 days.

TABLE 1
www.frontiersin.org

TABLE 1. Culture conditions for FC and Y201-C: High concentration of cytokines (OA-HC), Low concentration of cytokines (OA-LC) and Healthy.

Following a procedure optimised in our previous work, after 10 days of spheroids culture, five single spheroids were transferred onto an electrospun poly(lactic-co-glycolic acid) (PLGA)-dopamine functionalised and gelatin-coated membranes, that were mounted in 48-multiwell CellCrowns™ (10 spheroids per cm2 of membrane) to obtain chondrospheres, which were cultured in DMEM/F12 medium for further 11 days at 37°C in a humified atmosphere with 5% CO2. The whole process for manufacturing the in vitro OA model is reported in Figure 1.

FIGURE 1
www.frontiersin.org

FIGURE 1. Manufacturing process of the OA in vitro model: FC and Y201-C cells expansion (1), Spheroids culture and characterization in a round bottom 96-well plate for 10 days (2) with the addition of IL-6, IL-1ß, TNF-α proinflammatory mediators at day 3 of spheroids culture (3), Chondrospheres culture and characterisation for further 11 days on a gelatin-coated electrospun PLGA membrane (4).

2.4 Spheroids growth kinetics during the culture

Spheroid growth kinetics was monitored over 10 days of culture for all conditions: Healthy, OA-HC and OA-LC. Images were taken on days 1, 4 and 10 with an EVOS M5000 microscope in phase-contrast brightfield. Spheroids morphometric analysis was performed by measuring diameters and areas of at least 4 spheroids for time points using ImageJ software. Results were analysed using GraphPad Prism software (GraphPad Software, Inc., La Jolla, CA).

2.5 Metabolic activity assessment

To evaluate cells metabolic activity MTS (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl-2H-tetrazolium) assay (CellTiter 96® AQueous One Solution Cell Proliferation Assay, Promega, United Kingdom) was used. Each condition was analysed in triplicate on days 1, 4 and 10. MTS solution was prepared to dilute at 1:6 the CellTiter 96® AQueous One Solution Reagent in phenol red-free DMEM/F12 supplemented with 10% FBS and 1% P/S. 200 μL of MTS solution was added to each well that contained the spheroids and incubated at 37°C in a humidified 5% CO2 atmosphere for 2.5 h and then 90 μL of the solution was transferred into a 96-well plate in duplicate for each sample. Absorbance was recorded at 490 nm using a Filter-based FLUOstar® Omega multi-mode reader (FLUOstar® Omega, Germany). The results were analysed using GraphPad Prism 9 software.

2.6 Gene expression analysis

For gene expression analysis, total RNA was extracted from spheroid and chondrosphere samples using miRNeasy Micro RNA Isolation Kit (Qiagen, United States), according to the manufacturer’s protocol. The concentration and purity of the isolated RNA were measured using a spectrophotometer (NanoDrop™ 1,000, Thermo Fisher Scientific, United States). Reverse transcription was performed using the High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher, United Kingdom), using a thermocycler (2,720 Thermal Cycler, Applied Biosystems, United States) based on cycles of 10 min at 25°C, 120 min at 37°C, 5 min at 85°C. Reverse Transcription quantitative real-time Polymerase Chain Reaction (RT-qPCR) was performed using TaqMan™ Fast Advanced Master Mix and TaqMan™ SOX9, ACAN, COL2A1, COL1A2, MMP13 and ADAMTS5 probes (Thermo Fisher Scientific, United Kingdom). Gene expression raw data were acquired using QuantStudio™ 3 Real-Time PCR System (Thermo Fisher Scientific, United States). The expression of the genes of interest was normalized to Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and presented as a relative expression using the 2−(ΔΔCt) method(Livak & Schmittgen, 2001). The expression levels of day 0 control conditions for FC and Y201-C were set to 1 then the expression levels of day 10 and day 21 conditions were presented as fold-change relative to the controls. The ratio of COL2A1/COL1A2 was evaluated as well on day 10 and day 21.

2.7 Histology and immunohistochemistry (IHC) assessment

Samples of both Y201-C and FC in all conditions on days 1, 7 and 21 were washed with PBS, moved to a 0.5 mL Eppendorf embedded in OCT Compound (Agar Scientific, United Kingdom) and snap frozen at −80°C until further use. Samples were cryosectioned using a CM1900 cryostat (Leica Biosystems, Germany) at −20°C at 5 μm thickness, let dry at room temperature for 2 h and kept frozen until analysis. To perform Histology and IHC, frozen slides were transferred to cold Acetone at −20°C for 10 min. Following this, the fixative was let evaporate for 15–20 min and the slides were washed twice with PBS to remove any trace of OCT compound.

Hematoxylin and Eosin (H&E), Picrosirius Red and Alcian Blue stainings were performed according to standard procedures (Scalzone et al., 2022a). Histology slides were let dry overnight under the fume hood and imaged the following day with EVOS M5000 Microscope in RGD Brightfield at × 20 and × 40 magnification. For IHC, fixed and washed tissue slices were permeabilised with Triton 100x solution (0.1% w/v in PBS), immersed in BSA (2% w/v in PBS) and incubated for 2 h at RT with primary antibodies rabbit Anti-Collagen II (ab34712 Abcam) or rabbit Anti-Ki-67 (NB500-170SS Bio-techne Ltd.) or mouse Anti-Aggrecan (ab3778 Abcam) respectively at 1:200, 1:100 and 1:50 in BSA solution. After washing in PBS, secondary antibodies solutions were added for 1 h: AlexaFluor-594 goat anti-rabbit IgG (H + L) (ab150080 Abcam) 1:500 in BSA solution to Anti-Collagen II slides, Fluorescein-labelled goat anti-rabbit IgG (H + L) (F2765, Thermo Fisher Scientific) 1:1,000 in BSA solution for Anti-Ki-67 and Goat anti-Mouse IgG (H&L) - Alexa Fluor™ 488 (A-11001, Thermo Fisher Scientific) 1:1,000 in BSA solution for Anti-Aggrecan slides. Finally, nuclei were counterstained with Hoechst solution (R37609 Thermo Fisher Scientific), according to the manufacturer’s instructions, and a drop of Invitrogen ProLong Glass Antifade Mountant (Fisher Scientific, United Kingdom) was added to each slide and covered with a rectangular coverslip. Slides were let dry under the hood for 15 min and imaged using EVOS M5000 Microscope in fluorescence at × 40 magnification.

2.8 Statistical analysis

Tests were performed at least in triplicate for each sample. The results were represented as mean ± standard deviation. Differences between groups were determined using a One-way analysis of variance (ANOVA) with Tukey’s multiple comparison test using levels of statistical significance of p < 0.0001 (****), p < 0.001 (***), p < 0.05(**) and p < 0.01(*).

3 Results

3.1 Spheroids growth kinetics and metabolic activity

Spheroids growth dynamics were analysed on days 1, 4 and 10 for both FC and Y201-C cells in Healthy, OA-LC and OA-HC conditions. From the images collected, it was noticed a gradual decrease in both healthy spheroids’ size (Figure 2A), and a significant decrease in their diameter’s dimension (Figures 2B, C). Particularly, the diameter of the FC spheroids significantly decreased from 1,610 ± 100 µm on day 1–1,005 ± 90 µm on day 10 (p < 0.0001), while Y201-C spheroid diameter significantly decreased from 1750 ± 90 µm on day 1–1,200 ± 70 μm at day 10 (p < 0.0001). In the OA spheroids condition, a different trend was observed for both FC and Y201-C, with a stable dimension of spheroids over the culture at low and high concentrations of cytokines. On day 10, FC spheroids achieved values of 1,450 ± 50 μm and 1,650 ± 50 µm for OA-LC and OA-HC samples, respectively. These values were significantly different (p < 0.0001) compared to the Healthy FC on day 10. Similarly, Y201-C spheroids in OA-LC and OA-HC conditions showed values of 1,600 ± 50 μm and 1850 ± 50 μm, respectively, significantly different (p < 0.0001) from Y201-C in Healthy conditions on day 10.

FIGURE 2
www.frontiersin.org

FIGURE 2. FC and Y201-C spheroids images on day 1, day 4 and day 10 in Healthy, OA-LC and OA-HC conditions. Scale bars:300 µm. (A) Spheroids diameter at different timepoints for FC (B) and Y201-C (C) at each condition. Statistics: ****p < 0.0001.

Cellular mitochondrial activity was estimated via MTS assay (Figure 3). FC spheroids metabolic activity decreased over culture (p < 0.0001) in all conditions: from 0.07 ± 0.03 on day 1 to 0.03 ± 0.02 in Healthy, 0.04 ± 0.01 in OA-LC and 0.05 ± 0.02 in OA-HC conditions at day 10. Y201-C spheroids metabolic activity showed a different trend, increasing statistically (p < 0.0001) from 0.08 ± 0.01 on day 1 to 0.13 ± 0.05, 0.14 ± 0.05 and 0.16 ± 0.07, respectively in Healthy, OA-LC and OA-HC conditions at day 10. Both FC and Y201-C showed higher metabolic activity for OA-HC samples compared to OA-LC (p < 0.01) and Healthy (p < 0.05) (Figures 3A, B).

FIGURE 3
www.frontiersin.org

FIGURE 3. Analyses of cellular mitochondrial activity in Healthy, OA-LC and OA-HC conditions, for FC (A) and Y201-C (B). Statistics: **p < 0.05 and *p < 0.01.

3.2 Analyses of cell proliferation and apoptotic tendency

Proliferation and apoptosis were evaluated on cryosections on day 1 and day 21. Cellular proliferation was assessed via immunostaining for Ki-67 (an antigen associated with cellular proliferation) and cell nuclei were counterstained for DAPI (blue) (Figure 4). A brighter signal corresponding to Ki-67 staining was observed in both FC (Figure 4A) and Y201-C (Figure 4B) in OA conditions (both in OA-HC and OA-LC) on day 21, compared to the Healthy control on day 21 and compared to day 1 control. While few cells in a proliferative state were found on the construct edges in the Y201-C on days 1 and 21 in healthy conditions, compared to the FC.

FIGURE 4
www.frontiersin.org

FIGURE 4. Assessment of cellular proliferation on day 1 and day 21 in Healthy, OA-LC and OA-HC conditions with Ki-67 (green) staining and nuclei counterstained with DAPI (blue), for FC (A) and Y201-C (B). Scale bars: 150 µm.

Chondrocytes’ apoptotic features, typical of late-stage OA were analysed on cryosections at 21 days at high magnification (×63) staining cells nuclei with DAPI (Figure 5). Both, FC and Y201-C in a healthy state, showed typical rounded-shaped cell nuclei homogenously dispersed within the tissue slices (Figures 5A, B). While in OA condition (OA-LC and OA-HC), both cells showed heterogeneous nucleic acids organisation toward clustering structures (Figures 5C–F, circles). Also, in the OA condition, cells had fragmented and pyknotic nuclei.

FIGURE 5
www.frontiersin.org

FIGURE 5. Assessment of cells nuclei organisation and morphology at 21 days in Healthy (A,B), OA-LC (C,D) and OA-HC (E,F) conditions with DAPI (blue) staining at × 63 magnification. Circles are in correspondence with cellular clusters. Scale bars: 20 µm.

3.3 Gene expression analysis

The expression of anabolic (SOX9, COL2A1, ACAN and COL1A2) and Catabolic (MMP13 and ADAMTS-5) markers was analysed and reported in Figure 6. Both FC and Y201-C showed a significant increase in SOX9, ACAN and COL2A1 gene expression over the 21 days of culture in healthy conditions. SOX9 and ACAN showed an upregulation at 21 days for both cells in Healthy conditions compared to the relative OA-HC and OA-LC conditions (p < 0.0001). Similarly, a significant difference in the COL2A1 expression between the three different conditions at 21 days for both FC and Y201-C can be observed, with a gradual increase of the expression from OA-HC to Healthy. COL1A2 displayed an upregulation on day 10, followed by a significant decrease in its expression in each condition for both cells from day 10 to day 21. Also, Healthy FC showed a higher expression of COL1A2 compared to the pathological, while Y201-C showed the highest fold-regulation in the OA-LC condition. MMP13 catabolic marker expression increased from day 1 to day 10 for the FC in all conditions and then, decreased after 21 days (Figure 6E): OA-HC showed a much higher expression on both day 10 and day 21, compared to Healthy and OA-LC. For Y201-C, instead, a similar trend was observed for OA-LC and Healthy condition, with an increase of MMP13 expression on day 10 and a decrease on day 21, while MMP13 expression significantly increased over culture in the case of OA-HC, showing values significantly higher compared to Healthy and OA-LC (p < 0.0001). Finally, ADAMTS-5 catabolic marker expression increased on day 10 for both cell types in each condition, with significant differences observed on day 21. FC showed a similar value of OA-LC and Healthy on day 21 compared to day 10, while they presented a decrease in ADAMTS-5 expression. All values were significantly different (p < 0.0001) from each other at 21 days, with OA-LC presenting the highest expression. On the other side, Y201-C showed an increase in ADAMTS-5 expression on day 21 in healthy and OA-HC conditions and a decrease in OA-LC compared to day 10. All values were significantly different (p < 0.0001) from each other at 21 days, with OA-HC presenting the highest expression. In addition, the ratio of COL2A1/COL1A2 did not differ between the three conditions after 10 days of culture (∼0.65 for FC and ∼0 for Y201-C), while it showed statistically significant differences at day 21 with values of: 10,614.0 ± 32.7 in healthy condition compared to 12.3 ± 2.5 and 96.4 ± 3.2 in LC-OA and HC-OA for FC, respectively; and 20.66 ± 3.5 in healthy samples compared to. 4.1 ± 2.5 and 0.2 ± 0.1 in LC-OA and HC-OA for Y201-C, respectively.

FIGURE 6
www.frontiersin.org

FIGURE 6. Gene expression analysis via RT-qPCR, for both FC and Y201-C in Healthy, OA-LC and OA-HC: SOX-9, COL1A2, ACAN, ADAMTS-5, COL2A1, MMP-13 and report of the col2a1/col1a2 ratio for FC and Y201-C. Statistics: ****p < 0.0001, **p < 0.01, *p < 0.05.

3.4 Analysis of the quality of tissue in the healthy and pathological state

H&E staining intensity was higher for both FC and Y201-C on day 21 compared to day 1 in Healthy conditions, whereas it was observed a decrease in the staining intensity for OA-LC and OA-HC conditions compared to the healthy control on day 21 (Figures 7A, B). Also, chondrospheres in OA conditions showed a decrease in cellularity for both cell types and this feature seemed to be more evident in the middle of the construct, compared to the edges, especially for the Y201-C cells (Figure 7B). In healthy conditions, both FC and Y201-C samples presented higher collagen deposition (detected with Picrosirius Red) and mucopolysaccharides (detected via Alcian Blue) on day 21, compared to day 1 and both OA-HC and OA-LC on day 21. Chondrospheres cultivated in healthy conditions showed a homogenous distribution of Picrosirius Red and Alcian blue staining, whereas those in OA conditions showed a weaker signal in a restricted area, in the zones of the slices where cells’ nuclei were aggregated.

FIGURE 7
www.frontiersin.org

FIGURE 7. Histological analyses on cryosections at day 1 and day 21 in Healthy, OA-LC and OA-HC conditions. H&E, Picrosirius Red and Alcian Blue stainings for FC (A) and Y201-C (B) Scale bars = 150 μm.

From the IHC analyses, chondrospheres showed at 21 days an increase in Coll II and Aggrecan staining in healthy conditions, compared to both the control at day 1 and OA conditions at day 21, for both FC and Y201-C. In OA-HC and OA-LC conditions, samples showed less intense staining of Coll II and Aggrecan (Figure 8).

FIGURE 8
www.frontiersin.org

FIGURE 8. Immunohistochemical analyses of cartilage-specific markers: Collagen type II (Coll II, Red) and Aggrecan (ACAN, Green). Nuclei were counterstained with DAPI (blue). Images were reported in Healthy, OA-HC and OA-LC conditions for Coll II and DAPI for FC (A) and Y201-C (B); ACAN and DAPI for FC (C) and Y201-C (D). Scale bars = 150 μm.

4 Discussion

The development of a patho-physiologically relevant in vitro model for OA should reflect the complexity of the disease, characterised by AC degeneration accompanied by the whole joint inflammation (Goldberg & Kresina, 1987). Herein, we obtained an OA-induced environment by adding to the culture media the main pro-inflammatory cytokines, released from the synovium cells and chondrocytes, during OA progression (IL-1β, TNFα and IL-6) to recreate a naturally diseased environment (Scalzone et al., 2023). Compared to previous literature, the combination of a cocktail of cytokines allowed to obtain OA-like cell and tissue responses that more closely resemble the native disease at an early stage, particularly taking into consideration the importance of synovium-related inflammation effects in the model design, which results in the release of pro-inflammatory mediators (Johnson et al., 2016).

For both FC and Y201-C, the size of healthy spheroids gradually decreased over 10 days of culture, as dispersed cells formed tightly packed aggregates due to cell-cell interaction and condensation. However, spheroids did not reduce in size when exposed to cytokines, possibly due to a cell proliferation effect as a typical feature of early-stage OA chondrocytes and the interference of cytokines on cell-cell interaction (Gao et al., 2014; Wojdasiewicz et al., 2014). Indeed, a significant difference was observed on day 10 between both pathological conditions and healthy for FC and Y201-C.

Also, Y201-C showed an increase in metabolic activity over culture while FC showed a decrease. However, on day 10, both cells showed a similar pattern: increased metabolic activity in presence of cytokines, which may be related to the production of inflammatory and degradative enzymes, as well as an attempt to repair the ECM that had begun to break down, a characteristic of early-stage OA (Goldring & Goldring, 2016).

Three key events that characterize OA in an early-phase are cell hyperproliferation in contrast to well-established increased production and breakdown of ECM components and inflammation (Quinn et al., 2005; Elmore, 2007). Both cell types showed strong staining of Ki-67, which is a cells proliferation marker, in OA-HC and OA-LC conditions compared to the healthy model on day 21, and the control on day 1 (Miller et al., 2018). This result indicates that cells in pathological conditions tend to proliferate; indeed, OA-induced cells represent a cell population with abnormal proliferation, which is the common chondrocyte response to altered joint environments (Sandell & Aigner, 2001; Dreier, 2010).

Then, it was evaluated at high magnification the morphology of cells nuclei stained with DAPI: both cells in OA conditions, compared to the healthy, showed a decrease in the size of nuclei, their clusterisation, and an anomalous shape due to the presence of apoptotic bodies, nuclear condensation, and fragmentation. All these events are related to the shift of cells towards the hypertrophic pathway, which may result in chondrocyte apoptosis and, as a result, AC loss (Blanco et al., 1998; Muldrew et al., 2001; Elmore, 2007). Also, gene expression was altered in OA conditions: anabolic markers (SOX9, ACAN and COL2A1) were up-regulated at 21 days of culture in the healthy model with FC and Y201-C compared to both pathological, in which their expression decreased over culture, as expected.

To evaluate the gene expression pathways involved into spheroids weakness in OA environment we compared the expression of MMP13, which is the main collagenase responsible for the degradation and cleavage of collagen II, with COL2A1. COL2A1 expression was down-regulated in OA conditions respect Heathy environment while MMP-13 was massively up-regulated especially in OA-HC for both cell types. Moreover, the expression of ADAMTS-5, which together with the ADAMTS-4 constitutes the family of aggrecanases responsible for the ACAN cleavage, was compared with ACAN. Also in this context the anabolic and the catabolic markers were inversely related and showed a higher ACAN expression in Healthy condition and an ADAMTS-5 upregulation for both OA-LC and OA-HC. ADAMTS-5 expression even in the Healthy was in according to literature that confirms that this aggrecanase is constitutively expressed by chondrocytes. The analysis of COL1A2 by itself does not give great information about the OA progression, but the ratio of COL2A1/COL1A2, which was shown to be considerably greater in healthy conditions compared to pathological for both cells, is a crucial indicator between healthy and OA cartilage. However, COL2A1/COL1A2 ratio decreased mostly due to a change or down-regulation of COL2A1 expression, whereas COL1A2 expression altered far less. This characteristic is consistent with earlier literature investigations (Marlovits et al., 2004).

The morphological quality of the spheroid model as the degree of degradation was determined by histology and IHC stainings. H&E staining indicates the presence of nucleated cells with abundant cytoplasmic content in all conditions. The main difference between the healthy and both pathological models is the weaker staining of collagen (stained with Picrosirius Red) and of strongly and weakly sulphated proteoglycans (stained with Alcian Blue) in OA conditions. Also, OA samples showed less compact and more scattered tissue. IHC supported the findings of histology and gene expression: when compared to pathological conditions, FC and Y201-C cells in healthy conditions formed a tissue rich in Coll II and aggrecan, as seen by the stronger staining and the compactness of the tissue slice. This is the result of the inhibition of the biosynthetic activity and matrix degradation by proteinases (Matyas et al., 2002; Roughley & Mort, 2014).

Overall, both cells at 21 days in the pathological state (OA-LC & OA-HC) showed a down-regulation in the expression of anabolic markers, compared to the healthy state and a higher expression of catabolic markers in the pathological model with a high concentration of cytokines.

5 Conclusion

Current OA models often replicate either post-traumatic and/or late-stage OA, leaving a large gap in understanding the spontaneous occurring disease and its early stages, where slowing disease progression would be an attractive treatment strategy. The presented in vitro model of AC in healthy and pathological condition allowed the study of the OA progression from early stage by demonstrating: (1) stimulated cell proliferation and apoptotic pathway, (2) decreased expression of anabolic markers and (3) lower biosynthetic activity in the simulated pathological environment when compared to the healthy environment. These functional biological changes in the spheroid models were observed even at low cytokine concentrations (in agreement with values seen in native human synovium during OA progression. Furthermore, Y201-C was shown to be a suitable cell source for easier and reproducible manufacturing of scaffold-free in vitro OA models. Given the obtained features, this model can be faithfully be used to (i) study OA molecular evolution from the on-set to its degeneration and (ii) to assess the effect and optimize the therapeutic dose of drugs and molecules, such as micro-RNAs or exosomes, targeting for example, the cellular pathways involved in the OA progression.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

AS, AF-D, PG, XW, and KD conceived and designed the experiments. AS performed the experiments; AS and GC analysed the data. AF-D, XW, MM-B, KD, and PG contributed material preparation; AS wrote the paper and GC, KD, XW, AF-D, MM-B, and PG revised the paper drafts. All authors contributed to the article and approved the submitted version.

Funding

AS acknowledges support from EPSRC for her Ph.D. studentship (EPSRC Grant EP/R51309X/1). XW and KD acknowledge support from Versus Arthritis (Award 21156).

Acknowledgments

The authors thank I. Carmagnola and Prof Chiara Tonda-Turo (Politecnico di Torino, Torino, Italy) for providing the electrospun membranes.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Bartolotti, I., Roseti, L., Petretta, M., Grigolo, B., and Desando, G. (2021). A roadmap of in vitro models in osteoarthritis: A focus on their biological relevance in regenerative medicine. J. Clin. Med. 10 (9), 1920. doi:10.3390/jcm10091920

PubMed Abstract | CrossRef Full Text | Google Scholar

Blanco, F. J., Guitian, R., Vázquez-Martul, E., de Toro, F. J., and Galdo, F. (1998). Osteoarthritis chondrocytes die by apoptosis: A possible pathway for osteoarthritis pathology. Arthritis & Rheumatism Official J. Am. Coll. Rheumatology 41 (2), 284–289. doi:10.1002/1529-0131(199802)41:2<284:aid-art12>3.0.co;2-t

PubMed Abstract | CrossRef Full Text | Google Scholar

Bondeson, J., Blom, A. B., Wainwright, S., Hughes, C., Caterson, B., and van den Berg, W. B. (2010). The role of synovial macrophages and macrophage-produced mediators in driving inflammatory and destructive responses in osteoarthritis. Arthritis Rheumatism 62 (3), 647–657. doi:10.1002/art.27290

PubMed Abstract | CrossRef Full Text | Google Scholar

Calich, A. L. G., Domiciano, D. S., and Fuller, R. (2010). Osteoarthritis: Can anti-cytokine therapy play a role in treatment? Clin. Rheumatol. 29 (5), 451–455. doi:10.1007/s10067-009-1352-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Cross, M., Smith, E., Hoy, D., Nolte, S., Ackerman, I., Fransen, M., et al. (2014). The global burden of hip and knee osteoarthritis: Estimates from the global burden of disease 2010 study. Ann. Rheumatic Dis. 73 (7), 1323–1330. doi:10.1136/annrheumdis-2013-204763

PubMed Abstract | CrossRef Full Text | Google Scholar

Dreier, R. (2010). Hypertrophic differentiation of chondrocytes in osteoarthritis: The developmental aspect of degenerative joint disorders. Arthritis Res. Ther. 12 (5), 216. doi:10.1186/ar3117

PubMed Abstract | CrossRef Full Text | Google Scholar

Elmore, S. (2007). Apoptosis: A review of programmed cell death. Toxicol. Pathol. 35 (4), 495–516. doi:10.1080/01926230701320337

PubMed Abstract | CrossRef Full Text | Google Scholar

Fan, Z., Söder, S., Oehler, S., Fundel, K., and Aigner, T. (2007). Activation of interleukin-1 signaling cascades in normal and osteoarthritic articular cartilage. Am. J. Pathology 171 (3), 938–946. doi:10.2353/ajpath.2007.061083

PubMed Abstract | CrossRef Full Text | Google Scholar

Gabriel, N., Innes, J. F., Caterson, B., and Vaughan-Thomas, A. (2010). Development of an in vitro model of feline cartilage degradation. J. Feline Med. Surg. 12 (8), 614–620. doi:10.1016/j.jfms.2010.03.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Gao, Y., Liu, S., Huang, J., Guo, W., Chen, J., Zhang, L., et al. (2014). The ECM-cell interaction of cartilage extracellular matrix on chondrocytes. BioMed Res. Int. 2014, 1–8. doi:10.1155/2014/648459

PubMed Abstract | CrossRef Full Text | Google Scholar

Gikas, P. D., Bayliss, L., Bentley, G., and Briggs, T. W. R. (2009). An overview of autologous chondrocyte implantation. J. Bone Joint Surg. Br. 91 (8), 997–1006.

PubMed Abstract | CrossRef Full Text | Google Scholar

Goldberg, V. M., and Kresina, T. F. (1987). Immunology of articular cartilage. J. Rheumatology 14, 73–76.

PubMed Abstract | Google Scholar

Goldring, S. R., and Goldring, M. B. (2016). Changes in the osteochondral unit during osteoarthritis: Structure, function and cartilage–bone crosstalk. Nat. Rev. Rheumatol. 12 (11), 632–644. doi:10.1038/nrrheum.2016.148

PubMed Abstract | CrossRef Full Text | Google Scholar

Grenier, S., Bhargava, M. M., and Torzilli, P. A. (2014). An in vitro model for the pathological degradation of articular cartilage in osteoarthritis. J. Biomechanics 47 (3), 645–652. doi:10.1016/j.jbiomech.2013.11.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Johnson, C. I., Argyle, D. J., and Clements, D. N. (2016). In vitro models for the study of osteoarthritis. Veterinary J. 209, 40–49. doi:10.1016/j.tvjl.2015.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Kloppenburg, M., and Berenbaum, F. (2020). Osteoarthritis year in review 2019: Epidemiology and therapy. Osteoarthr. Cartil. 28 (3), 242–248. doi:10.1016/j.joca.2020.01.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Livak, K. J., and Schmittgen, T. D. (2001). Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods 25 (4), 402–408. doi:10.1006/meth.2001.1262

PubMed Abstract | CrossRef Full Text | Google Scholar

Löfgren, M., Svala, E., Lindahl, A., Skiöldebrand, E., and Ekman, S. (2018). Time-dependent changes in gene expression induced in vitro by interleukin-1β in equine articular cartilage. Res. Veterinary Sci. 118, 466–476. doi:10.1016/j.rvsc.2018.04.013

CrossRef Full Text | Google Scholar

Marlovits, S., Hombauer, M., Truppe, M., Vècsei, V., and Schlegel, W. (2004). Changes in the ratio of type-I and type-II collagen expression during monolayer culture of human chondrocytes. J. Bone Jt. Surg. - Ser. B 86 (2), 286–295. doi:10.1302/0301-620X.86B2.14918

PubMed Abstract | CrossRef Full Text | Google Scholar

Matyas, J. R., Huang, D., Chung, M., and Adams, M. E. (2002). Regional quantification of cartilage type II collagen and aggrecan messenger RNA in joints with early experimental osteoarthritis. Arthritis Rheumatism 46 (6), 1536–1543. doi:10.1002/art.10331

PubMed Abstract | CrossRef Full Text | Google Scholar

Meliconi, R., Pulsatelli, L., Addimanda, O., Brusi, V., and Pavloska, B. (2013). New findings in osteoarthritis pathogenesis: Therapeutic implications. Ther. Adv. Chronic Dis. 4 (1), 23–43. doi:10.1177/2040622312462734

PubMed Abstract | CrossRef Full Text | Google Scholar

Miller, I., Min, M., Yang, C., Tian, C., Gookin, S., Carter, D., et al. (2018). Ki67 is a graded rather than a binary marker of proliferation versus quiescence. Cell Rep. 24 (5), 1105–1112.e5. doi:10.1016/j.celrep.2018.06.110

PubMed Abstract | CrossRef Full Text | Google Scholar

Muldrew, K., Chung, M., Novak, K., Schachar, N. S., Zernicke, R. F., Mcgann, L. E., et al. (2001). Evidence of chondrocyte repopulation in adult ovine articular cartilage following cryoinjury and long-term transplantation. Osteoarthr. Cartil. 9 432–439. doi:10.1053/joca.2000.0409

PubMed Abstract | CrossRef Full Text | Google Scholar

Novakofski, K. D., Torre, C. J., and Fortier, L. A. (2012). Interleukin-1α, -6, and -8 decrease Cdc42 activity resulting in loss of articular chondrocyte phenotype: Cdc42 IN ARTICULAR CHONDROCYTES. J. Orthop. Res. 30 (2), 246–251. doi:10.1002/jor.21515

PubMed Abstract | CrossRef Full Text | Google Scholar

Quinn, T. M., Hunziker, E. B., and Häuselmann, H. J. (2005). Variation of cell and matrix morphologies in articular cartilage among locations in the adult human knee. Osteoarthr. Cartil. 13 (8), 672–678. doi:10.1016/j.joca.2005.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Rigoglou, S., and Papavassiliou, A. G. (2013). The NF-κB signalling pathway in osteoarthritis. Int. J. Biochem. Cell Biol. 45 (11), 2580–2584. doi:10.1016/j.biocel.2013.08.018

PubMed Abstract | CrossRef Full Text | Google Scholar

Roughley, P. J., and Mort, J. S. (2014). The role of aggrecan in normal and osteoarthritic cartilage. J. Exp. Orthop. 1 (1), 8–11. doi:10.1186/s40634-014-0008-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Sandell, L. J., and Aigner, T. (2001). Articular cartilage and changes in Arthritis Cell biology of osteoarthritis. Arthritis Res. 3, 107–113. doi:10.1186/ar148

PubMed Abstract | CrossRef Full Text | Google Scholar

Scalzone, A., Cerqueni, G., Bonifacio, M. A., Pistillo, M., Cometa, S., Belmonte, M. M., et al. (2022a). Valuable effect of Manuka Honey in increasing the printability and chondrogenic potential of a naturally derived bioink. Mater. Today Bio 14, 100287. doi:10.1016/j.mtbio.2022.100287

PubMed Abstract | CrossRef Full Text | Google Scholar

Scalzone, A., Cerqueni, G., Wang, X. N., Ferreira-Duarte, A., Dalgarno, K., Mattioli-Belmonte, M., et al. (2023). An in vitro engineered osteochondral model as tool to study osteoarthritis environment. Adv. Healthc. Mater. 12 (2), 2202030. doi:10.1002/adhm.202202030

CrossRef Full Text | Google Scholar

Scalzone, A., Wang, X. N., Dalgarno, K., Ferreira, A. M., and Gentile, P. (2022b). A chondrosphere-based scaffold free approach to manufacture an in vitro articular cartilage model. Tissue Eng. - Part A 28 (1–2), 84–93. doi:10.1089/ten.tea.2021.0061

PubMed Abstract | CrossRef Full Text | Google Scholar

Scanzello, C. R., and Goldring, S. R. (2012). The role of synovitis in osteoarthritis pathogenesis. Bone 51 (2), 249–257. doi:10.1016/j.bone.2012.02.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Sohn, D. H., Sokolove, J., Sharpe, O., Erhart, J. C., Chandra, P. E., Lahey, L. J., et al. (2012). Plasma proteins present in osteoarthritic synovial fluid can stimulate cytokine production via Toll-like receptor 4. Arthritis Res. Ther. 14 (1), R7–R13. doi:10.1186/ar3555

PubMed Abstract | CrossRef Full Text | Google Scholar

Sylvester, J., El Mabrouk, M., Ahmad, R., Chaudry, A., and Zafarullah, M. (2012). Interleukin-1 induction of aggrecanase gene expression in human articular chondrocytes is mediated by mitogen-activated protein kinases. Cell. Physiology Biochem. 30 (3), 563–574. doi:10.1159/000341438

PubMed Abstract | CrossRef Full Text | Google Scholar

Valdes, A. M. (2010). Molecular pathogenesis and genetics of osteoarthritis: Implications for personalized medicine. Pers. Med. 7 (1), 49–63. doi:10.2217/pme.09.68

PubMed Abstract | CrossRef Full Text | Google Scholar

Wojdasiewicz, P., Poniatowski, Ł. A., and Szukiewicz, D. (2014). The role of inflammatory and anti-inflammatory cytokines in the pathogenesis of osteoarthritis. Mediat. Inflamm. 2014, 1–19. doi:10.1155/2014/561459

PubMed Abstract | CrossRef Full Text | Google Scholar

Yuan, G., Masuko-Hongo, K., Kato, T., and Nishioka, K. (2003). Immunologic intervention in the pathogenesis of osteoarthritis. Arthritis & Rheumatism 48 (3), 602–611. doi:10.1002/art.10768

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: in vitro model, articular cartilage, osteoarthritis, cytokines, chondrocytes

Citation: Scalzone A, Cerqueni G, Wang XN, Dalgarno K, Mattioli-Belmonte M, Ferreira-Duarte AM and Gentile P (2023) A cytokine-induced spheroid-based in vitro model for studying osteoarthritis pathogenesis. Front. Bioeng. Biotechnol. 11:1167623. doi: 10.3389/fbioe.2023.1167623

Received: 16 February 2023; Accepted: 27 April 2023;
Published: 09 May 2023.

Edited by:

Antonella Motta, University of Trento, Italy

Reviewed by:

Fengyuan Zhao, Peking University Third Hospital, China
Gloria Gallego-Ferrer, Polytechnic University of Valencia, Spain

Copyright © 2023 Scalzone, Cerqueni, Wang, Dalgarno, Mattioli-Belmonte, Ferreira-Duarte and Gentile. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Piergiorgio Gentile, cGllcmdpb3JnaW8uZ2VudGlsZUBuZXdjYXN0bGUuYWMudWs=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.