Inflammation models with the proinflammatory cytokine interleukin-1β (IL-1β) are widely used in the in vitro investigation of new therapeutic approaches for osteoarthritis (OA). The aim of this study was to systematically analyze the influence of IL-1β in a 3D chondral pellet culture model. Bovine articular chondrocytes were cultured to passage 3 and then placed in pellet culture. Titration of IL-1β (100–0.1 ng/mL) was performed with both human and bovine recombinant protein in chondrocyte culture for 2 weeks. Gene expression of anabolic (collagen 2, aggrecan, cartilage oligomeric protein (COMP), proteoglycan-4 (PRG-4)), catabolic matrix metallo proteinases (MMP-3, MMP-13), dedifferentiation (collagen 1) markers and inflammatory cytokines IL-6 and IL-8 was determined. Analysis of the cell culture medium was performed for the inflammatory markers IL-6 and nitric oxide (NO). In general, the influence of IL-1β was shown by a decrease in the expression of anabolic markers (collagen 2, aggrecan, PRG-4), whereas the catabolic markers MMP-3 and MMP-13 as well as the inflammatory markers IL-6 and IL-8 were significantly increased. This was observed both at the early time point (day 4) and at the late time point (day 14). The described inflammatory effects were confirmed by increased concentration-dependent release of NO and IL-6. The threshold concentration for a detectable effect compared to control differed between groups, but was reached earlier by homologous application of IL-1β. This study provides a systematic evaluation of IL-1β-specific effects on chondrocytes in a 3D pellet culture model, which is highly relevant for comparisons of studies in OA-specific drug development.

Tumor necrosis factor alpha (TNFα), as a key pro-inflammatory cytokine, plays a central role in joint diseases. In recent years, numerous models of TNFα-induced cartilage inflammation have been developed. However, due to the significant differences between these models and the lack of consensus in their construction, it becomes difficult to compare the results of different studies. Therefore, we summarized and compared these models based on important parameters for model construction, such as cell source, cytokine concentration, stimulation time, mechanical stimulation, and more. We attempted to analyze the advantages and disadvantages of each model and provide a compilation of the analytical methods used in previous studies. Currently, TNFα chondrocyte inflammation models can be categorized into four main types: monolayer-based, construct-based, explant-based TNFα chondrocyte inflammation models, and miscellaneous TNFα chondrocyte inflammation models. The most commonly used models were the monolayer-based TNFα chondrocyte inflammation models (42.86% of cases), with 10 ng/mL TNFα being the most frequently used concentration. The most frequently used chondrocyte cell passage is passage 1 (50%). Human tissues were most frequently used in experiments (51.43%). Only five articles included models with mechanical stimulations. We observed variations in design conditions between different models. This systematic review provides the essential experimental characteristics of the available chondrocyte inflammation models with TNFα, and it provides a platform for better comparison between existing and new studies in this field. It is essential to perform further experiments to standardize each model and to find the most appropriate experimental parameters.

Inflammation models are widely used in the in vitro investigation of new therapeutic approaches for osteoarthritis. TNFα (tumor necrosis factor alpha) plays an important role in the inflammatory process. Current inflammation models lack uniformity and make comparisons difficult. Therefore, this study aimed to systematically investigate whether the effects of TNFα are concentration-dependent and whether chondrocyte expansion has an effect on the inflammatory model. Bovine chondrocytes were enzymatically isolated, expanded to passages 1–3, and transferred into a 3D pellet culture. Chondrocyte pellets were stimulated with recombinant bovine TNFα at different concentrations for 48 h to induce inflammation. Gene expression of anabolic (collagen 2, aggrecan, cartilage oligomeric protein (COMP)), catabolic (matrix metalloproteinases (MMP3, MMP13)), dedifferentiation (collagen 1) markers, inflammation markers (interleukin-6 (IL-6), nuclear factor kappa B (NFkB), cyclooxygenase-2 (COX), prostaglandin-E-synthase-2 (PTGES2)), and the apoptosis marker caspase 3 was determined. At the protein level, concentrations of IL-6, nitric oxide (NO), and sulfated glycosaminoglycans (GAG) were evaluated. Statistical analysis was performed using the independent t-test, and significance was defined as p < 0.05. In general, TNFα caused a decrease in anabolic markers and an increase in the expression of catabolic and inflammatory markers. There was a concentration-dependent threshold of 10 ng/mL to induce significant inflammatory effects. Most of the markers analyzed showed TNFα concentration-dependent effects (COMP, PRG4, AGN, Col1, MMP3, and NFkB). There was a statistical influence of selected gene expression markers from different passages on the TNFα chondrocyte inflammation model, including Col2, MMP13, IL-6, NFkB, COX2, and PTGES2. Considering the expression of collagen 2 and MMP3, passage 3 chondrocytes showed a higher sensitivity to TNFα stimulation compared to passages 1 and 2. On the other hand, MMP13, IL-6, NFkB, and caspase 3 gene expression were lower in P3 chondrocytes compared to the other passages. On the protein level, inflammatory effects showed a similar pattern, with cytokine effects starting at 10 ng/mL and differences between the passages. TNFα had a detrimental effect on cartilage, with a clear threshold observed at 10 ng/mL. Although TNFα effects showed concentration-dependent patterns, this was not consistent for all markers. The selected passage showed a clear influence, especially on inflammation markers. Further experiments were warranted to explore the effects of TNFα concentration and passage in long-term stimulation.