Skip to main content
Download PDF

Similarities and differences between rat and mouse chondrocyte gene expression induced by IL-1β

Journal of Orthopaedic Surgery and Research volume 17, Article number: 70 (2022) Cite this article

Abstract

Background

Osteoarthritis (OA) is the most prevalent degenerative joint disease. In vitro experiments are an intuitive method used to investigate its early pathogenesis. Chondrocyte inflammation models in rats and mice are often used as in vitro models of OA. However, similarities and differences between them in the early stages of inflammation have not been reported.

Objective

This paper seeks to compare the chondrocyte phenotype of rats and mice in the early inflammatory state and identify chondrocytes suitable for the study of early OA.

Methods

Under similar conditions, chondrocytes from rats and mice were stimulated using the same IL-1β concentration for a short period of time. The phenotypic changes of chondrocytes were observed under a microscope. The treated chondrocytes were subjected to RNA-seq to identify similarities and differences in gene expression. Chondrocytes were labelled with EdU for proliferation analysis. Cell proliferation-associated proteins, including minichromosome maintenance 2 (MCM2), minichromosome maintenance 5 (MCM5), Lamin B1, proliferating cell nuclear antigen (PCNA), and Cyclin D1, were analysed by immunocytochemical staining, cell immunofluorescence, and Western blots to verify the RNA-seq results.

Results

RNA-seq revealed that the expression patterns of cytokines, chemokines, matrix metalloproteinases, and collagen were similar between the rat and mouse chondrocyte inflammation models. Nonetheless, the expression of proliferation-related genes showed the opposite pattern. The RNA-seq results were further verified by subsequent experiments. The expression levels of MCM2, MCM5, Lamin B1, PCNA, and Cyclin D1 were significantly upregulated in rat chondrocytes (P < 0.05) and mouse chondrocytes (P < 0.05).

Conclusions

Based on the findings, the rat chondrocyte inflammation model may help in the study of the early pathological mechanism of OA.

Background

Osteoarthritis (OA) is a common chronic disease-causing type of articular cartilage degeneration. The World Health Organization approximates that 9.6% of men and 18% of women over 60 years of age are in the early stages of OA pathogenesis [1, 2]. China has a high OA prevalence, and its burden is substantial [3, 4]. OA progression is clinically slow and unpredictable, and related clinical studies focus on the middle and late stages of the disease. As a result, these findings may not reflect the molecular events and structural changes of the joints in an accurate and timely manner [5, 6]. Early OA pathogenesis is the most vital stage but is often ignored and not fully understood [7, 8]. Since it is relatively difficult to obtain clinical samples, animal models of OA are often used for alternative research [9]. Nevertheless, animal experiments are time-consuming with many uncontrollable factors [10].

In contrast with the more complex in vivo experiments, in vitro experiments are direct and convenient in studying early disease pathogenesis [11]. To better explore the pathological mechanism of early OA, we searched the literature related to in vitro experiments on OA. Rat and mouse chondrocytes were more often selected as study subjects than human chondrocytes (Additional file 4: Fig. S1). Moreover, several studies have used IL-1β to simulate the OA environment in chondrocytes to assess the pathological mechanism of OA [12, 13]. The chondrocytes were from either rats or mice, and the intervention conditions were similar. Because of the species differences between rats and mice, we sought to identify whether chondrocytes from different species exhibit different performances after induction with similar IL-1β concentrations for a short period of time.

This work aims to compare and confirm similarities and differences in gene expression between rat and mouse chondrocytes under similar inflammatory induction conditions. This report is geared towards a simple and appropriate in vitro inflammatory model for the study of the early pathological mechanism of OA.

Methods

Animals

Sprague–Dawley (SD) rats and C57BL/6 mice were purchased from Shanghai Xipur-Bikai Experimental Animal Co., Ltd. (Shanghai, China). All the experimental animals were sacrificed through decapitation after inhaling diethyl ether.

Isolation, culture, and intervention of chondrocytes

The primary culture of chondrocytes was performed according to the published literature [14]. Chondrocytes were isolated from the articular cartilage of newborn rats and mice (24 h old) and then dispersed in 0.1% collagenase type II (C6885, Sigma-Aldrich, Switzerland) in a shaker at 37 °C for 3 h. The chondrocytes were collected and cultured in Dulbecco’s modified Eagle’s medium (DMEM, Biowest, France) supplemented with 10% FBS (Biowest, France) and 1% penicillin–streptomycin. Chondrocytes at passage 1 were used in all experiments to prevent chondrocyte dedifferentiation during long-term in vitro expansion [15].

The chondrocytes of rats and mice were divided into the control group (RC = rat control group, MC = mouse control group) and model group (RM = rat model group, MM = mouse model group). The chondrocytes in the model groups were stimulated with 20 ng/ml IL-1β (R&D Company) for 24 h and extracted for sequencing.

RNA-seq and data analysis

RNA samples for sequencing were extracted from three independent samples of each group to reduce individual differences. A total amount of 1.5 µg RNA extract was used, and cDNA library construction and RNA-seq (Illumina HiSeq 4000) were performed by Shanghai Life Genes Technology Co., Ltd. An RNA integrity number (RIN) > 8 confirmed the integrity of the RNA. RNA integrity was evaluated using the RNA Nano 6000 Assay Kit of the Bioanalyzer 2100 system (Agilent Technologies, CA, USA). Sequencing libraries were generated using the NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB, USA). For selection of appropriately sized cDNA fragments, the library fragments were purified using the AMPure XP system (Beckman Coulter, Beverly, USA). Finally, library quality was assessed on the Agilent Bioanalyzer 2100 system. After sequencing, the data from different groups were analysed.

The network of common genes and the KEGG pathways were drawn using Cytoscape 3.6.1. A sample with a fold change greater than 0.85, P value less than 0.05, and at least one fragment per kilobase million (FPKM) ≥ 1 (excluding low expression genes) was considered an effective differentially expressed gene (DEG). DEGs were also annotated in GO and KEGG databases to detect gene functions and pathways. Notably, high-throughput sequencing data are available through the GEO database with the access number GSE163080.

EdU (5-ethynyl-2′-deoxyuridine) assay

Chondrocytes of each group were seeded in 6-well plates at a density of 3 × 105 cells/well. The proliferative capability of the chondrocytes was detected by a BeyoClick™ EdU Cell Proliferation Kit with DAB (Beyotime, Shanghai, China). The experimental process strictly followed the manufacturer’s instructions. The nuclei were detected using DAPI staining solution (Cat. No. A1001, Aleichem, Germany). After the cells were washed in PBS, they were observed under an inverted microscope (Olympus IX73, Tokyo, Japan). Three technical repeated experiments were conducted in each group.

Immunocytochemistry staining

Chondrocytes of each group were seeded in 6-well plates at a density of 3 × 105 cells/well, fixed on slides with 4% paraformaldehyde at room temperature for 30 min, and then rinsed using phosphate buffer (PBS). The cells were incubated using 0.1% Triton X-100 for 20 min, followed by PBS rinsing. Chondrocytes were incubated with 5% bovine serum albumin at 37 °C for 20 min and then incubated overnight with primary antibody against MCM2 (A5172, Bimake, China) at 4 °C. The cells were then washed with PBS three times and incubated with a secondary antibody in 1% BSA for 30 min at RT. Diaminobenzidine (DAB) was used as a substrate for colour development. The nuclei were stained using 10 ng/ml DAPI (Cat. No. A1001, Aleichem, Germany) to mark all cells; they were observed under an inverted microscope.

Cell immunofluorescence

Chondrocytes were seeded onto coverslips and maintained in complete DMEM medium or complete DMEM medium plus IL-1β for 24 h. The culture medium was discarded, and the coverslips were rinsed twice with PBS pH 7.4. The cells were fixed with 4% paraformaldehyde, washed three times using PBS, permeabilized with 0.1% Triton X-100 in PBS for 30 min at room temperature (RT), and washed with PBS three times. Thereafter, the cells were incubated in PBST with 10% BSA for 60 min to block nonspecific antibody binding, incubated with primary MCM5 antibody (A5489, Bimake, China) in 1% BSA for 60 min at RT, washed with PBS three times, and incubated with a secondary antibody in 1% BSA for 30 min at RT. The nuclei were stained using 10 ng/ml DAPI (Cat. No. A1001, Aleichem, Germany).

Western blot

Chondrocytes were collected in lysis buffer (Beyotime, P0013B) containing protease inhibitor (PMSF). The lysates were centrifuged at 12,000×g at 4 °C for 10 min. Protein concentrations were measured using a BCA Protein Assay Kit (Cat. No. 23227, Pierce, USA). SDS-PAGE (15%) was used to separate the proteins and transferred to PVDF membranes based on a standard protocol. These membranes were incubated with primary antibodies and probed with the corresponding secondary antibodies. Protein visualization was conducted using enhanced chemiluminescence (Pierce Biotechnology, Rockford, USA). The following antibodies were utilized: PCNA (A5324, Bimake, China), Cyclin D1 (A5035, Bimake, China), and GAPDH (#2118, CST, USA).

Statistical analysis

Statistical analyses were performed using SPSS 20.0 software (IBM SPSS, Inc., Chicago, IL, USA). The data are expressed as the mean ± standard deviation. Data between the two groups were compared using an unpaired t test. All data are normally distributed. When the sample size was 3, the sample power was 0.9832. Cohen's D statistic was used to test the effect size (ES), and the ES value was 4.47. GraphPad Prism 8.0 (GraphPad Software San Diego, CA) was applied for data drawing. P < 0.05 was considered statistically significant.

Results

The expression of common genes and KEGG pathways in rat and mouse chondrocytes by enrichment analysis

The methodology of this study is summarized in Fig. 1. After sequencing, 13,919 genes were shared by rats and mice. Of these, 721 genes had significantly upregulated expression in the RM group, while 1932 genes had significantly upregulated expression in the MM group. Moreover, 709 genes had significantly downregulated expression in the RM group, and 2247 genes w had significantly downregulated expression in the MM group. By taking the intersection of genes, we found that 288 genes had upregulated expression, while 347 genes had downregulated expression in both the rat and mouse model groups. Notably, 635 genes showed a similar expression pattern (Fig. 2A; Additional file 1: Table S1). Through KEGG pathway enrichment analysis, 5 enriched signalling pathways were selected and sorted by P value: the TNF signalling pathway, IL-17 signalling pathway, cytokine-cytokine receptor interaction, and other signalling pathways (Table 1). Among the 5 signalling pathways, 76 genes, including cytokines (IL-1, IL-6, IL-13, and IL-18), chemokines (CXCL1, CXCL2, CXCL3, and CXCL16), matrix metalloproteinases (MMP3, MMP9, and MMP13), and collagen (Col1a1, Col1a2, Col2a1, Col9a1, Col9a2, and Col9a3), were primarily involved (Fig. 2B). In both the rat and mouse model groups, the expression of cytokines, chemokines, and matrix metalloproteinases was upregulated, whereas the expression of collagen was downregulated.

Fig. 1
figure 1

Overview of this study

Full size image
Fig. 2
figure 2

Common gene and pathway analysis. A Flowchart of screening common genes. B Target-pathway network. The yellow rhombus nodes represent the pathways, the red ellipse nodes represent the genes with high expression, and the blue ellipse nodes represent the genes with low expression

Full size image
Table 1 Information about related pathways (sorted by P value)
Full size table

Morphological and proliferative differences in rat and mouse chondrocytes

The results showed that the chondrocytes in the RC and MC groups were polygonal, typical characteristics of chondrocytes. The chondrocytes in the RM and MM groups revealed degenerative and long fusiform changes. The cell density in the RM group was significantly higher than that in the RC group. In contrast, the cell density in the MM group was dramatically lower than that in the MC group (Fig. 3A).

Fig. 3
figure 3

Morphology and proliferation of chondrocytes. A Proliferative and morphological changes of chondrocytes stimulated by IL-1β. B The effects of IL-1β on the proliferation of chondrocytes were detected by EdU staining. *P < 0.05; **P < 0.001

Full size image

EdU staining showed that the number and rate of EdU-positive cells in the RM group were significantly higher than those in the RC group. In mouse chondrocytes, EdU staining presented conflicting results, e.g. the number and rate of EdU-positive cells in the MM group were significantly lower than those in the MC group (Fig. 3B).

Differentially expressed genes (DEGs) in RNA-Seq data of rat and mouse chondrocytes

To investigate the differences in gene expression profiles that regulate chondrocyte proliferation, we analysed the RNA-seq results of rat and mouse chondrocytes.

First, the volcanic map showed the differences of 13,919 genes in mRNA expression between the model group and control group in each species (Fig. 4A). Through statistical analysis, this study found 4083 genes with inconsistent expression in the RM and MM groups. Among them, 171 genes had significantly upregulated expression in the RM group and downregulated expression in the MM group. Additionally, 85 genes had significantly downregulated expression in the RM group and upregulated expression in the MM group. In addition, 3288 genes without a significant difference in the RM group had a significant difference in the MM group, whereas 539 genes had no significant difference in the MM group but had a significant difference in the RM group. Therefore, 4083 DEGs were found in rats and mice (Fig. 4B; Additional file 2: Table S2).

Fig. 4
figure 4

Volcano plots and Venn diagrams of DEGs. A Identification of DEGs between the model groups and control groups. X-axis represents the log2 transformed fold change. Y-axis represents the − log10 transformed significance. Genes with upregulated expression are annotated by red points. Genes with downregulated expression are represented by green points. Grey points represented non-DEGs. B Venn diagrams of DEGs between model group

Full size image

GO and KEGG pathway enrichment analysis of differentially expressed genes (DEGs)

The differences in the proliferation of the RM and MM groups may be related to these DEGs. As such, these DEGs in rats and mice were further analysed through GO and KEGG pathway enrichment analysis. GO functional classification was conducted to explore the function of annotated genes. In rats and mice, the terms “cellular process”, “biological regulation” and “regulation of biological process”; “cell”, “cell part”, and “organelle”; “binding”, “catalytic activity” and “molecular function regulator” were the most representative of biological process, cellular component and molecular function, respectively (Fig. 5A).

Fig. 5
figure 5

GO and KEGG pathway classification of DEGs. A Gene Ontology (GO) classification: red histograms are classified as biological process; green histograms are classified as cellular component and blue histograms are classified as molecular function. B Bar chart of KEGG pathway classification. C Bubble chart of KEGG pathway functional enrichment. D The expression levels of DEGs are represented by the colour from red (high) to green (low)

Full size image

The significant pathways of the DEGs were established by KEGG pathway enrichment analysis. Based on the classification results, 168 DEGs between rats and mice belonged to the category of "cell growth and death" in the category of "cell process"; the signalling pathways in this category were closely related to cell proliferation (Fig. 5B). Among the top five signalling pathways in rats and mice according to the P value, only the "cell cycle" belonged to this category (Fig. 5C; Table 2). The 52 DEGs belonging to the "cell cycle" signalling pathway in rats and mice are shown by hierarchical clustering of a heatmap and include MCM2, MCM5, Lamin B1, PCNA, and Cyclin D1. (Fig. 5D; Additional file 3: Table S3).

Table 2 Classification of related pathways (sorted by P value)
Full size table

Validation of proliferation-related protein expression in chondrocytes

The above five DEGs highly correlated with cell proliferation were selected for analysis to validate the RNA-seq results. The expression levels of MCM2 and MCM5 were detected via immunocytochemistry or immunofluorescence, respectively. The results revealed that, unlike their respective controls, the expression levels of these two proteins were significantly upregulated in the RM group but remarkably downregulated in the MM group (Fig. 6A, B).

Fig. 6
figure 6

Proliferation-related DEGs in the RM group and MM group. A The expression level of MCM2 was detected by immunocytochemistry in rat and mouse chondrocytes after IL-1β intervention. B In situ expression of MCM5 was evaluated by cell immunofluorescence (green). The nuclei were counterstained by DAPI (blue). C Lamin B1, PCNA and Cyclin D1 expression levels were assessed by Western blots. GAPDH was used as the internal control. *P < 0.05; **P < 0.001

Full size image

As shown in Fig. 6C, IL-1β downregulated the expression levels of Lamin B1, PCNA, and Cyclin D1 in mouse chondrocytes, while upregulating the expression levels of Lamin B1, PCNA, and Cyclin D1 in rat chondrocytes.

Discussion

Primary chondrocytes isolated from rat or mouse articular cartilage are often used as research objects in experiments in vitro. Therefore, to accurately construct in vitro inflammation models for the study of early OA, we need to explore the differences between in vitro inflammation models of rat and mouse chondrocytes.

This study found that the expression patterns of related cytokines, chemokines, matrix metalloproteinases, and collagen were consistent between rat and mouse chondrocyte inflammatory models after RNA-seq. Notably, genes are biological markers that directly reflect the biosynthesis and catabolism of chondrocytes in OA progression. For instance, interleukins are inflammatory cytokines, and IL-1, IL-6, and IL-18 are proinflammatory factors [16, 17], while IL-13 is an anti-inflammatory factor [18]. Additionally, CXCL1, CXCL2, CXCL3, and CXCL16 belong to the CXC chemokine subfamily [19]. Inflammatory cytokines and chemokines are vital molecules in OA pathogenesis. In the chondrocytes of patients with OA, the content of these cytokines increased to varying degrees; therefore, their expression changes are used as a reference index to establish the inflammatory state in OA development [20,21,22].

MMP-3 and MMP-13 are matrix metalloproteinases (MMPs); they are the primary collagenases for cartilage degradation and are closely related to the pathological changes of OA [23, 24]. Type I collagen is a marker of fibrocartilage and exists throughout the development of OA; type II collagen is the most important collagen in articular cartilage and supports articular cartilage tissue. Moreover, type IX collagen plays a crucial role in the tissue and stability of the cartilage extracellular matrix [25,26,27]. By analysing RNA-seq results, all these genes, including inflammatory factors, chemokines, matrix metalloproteinases, and collagen, revealed a similar expression trend in the presence of IL-1β. Therefore, based on the biosynthesis and metabolism of cartilage in OA progression, no difference was noted between the inflammatory model of rat chondrocytes and mouse chondrocytes.

Rat and mouse chondrocyte inflammatory models have similar manifestations in the expression trend of the genes described above under similar conditions, including cell seeding density, IL-1β concentration, and shorter intervention time. However, rat chondrocytes showed significant increases, and mouse chondrocytes showed significant decreases.

To explore the reason, we further analysed and mined the sequencing results. Consequently, 52 genes were closely related to proliferation. Based on the functional GO categorizations, these genes are mainly implicated in cell metabolism. Furthermore, these genes were primarily concentrated in the "cell cycle" signal pathway belonging to "cell growth and death" via KEGG pathway enrichment analysis.

The related genes involved in the regulation of the "cell cycle" also directly regulate the proliferation of chondrocytes in rats and mice, as the genes included MCM2, MCM5, PCNA, Cyclin D1 and Lamin B1 [28,29,30,31,32]. The protein expression levels of MCM2, MCM5, Lamin B1, PCNA, and Cyclin D1 were significantly upregulated in the RM group and remarkably downregulated in the MM group. These findings further verify the RNA-seq results. Our results show that in a short time, a similar IL-1β concentration had the opposite effect on the proliferation of rat and mouse articular chondrocytes. That is, the same inflammatory stimulation conditions promoted the proliferation of rat chondrocytes in a short time period while inhibiting the proliferation of mouse chondrocytes.

Previous studies used IL-1β to stimulate rat chondrocytes and observed their proliferation. The proliferation of rat chondrocytes was significantly inhibited [33, 34]. These findings conflicted with our results. To explore the underlying mechanism, we passaged the chondrocytes used in these studies numerous times or cultured them in vitro for a prolonged period. Chondrocytes may be dedifferentiated, losing their proliferative capacity. Based on OA samples from surgery, chondrocytes from OA cartilage are usually in the middle and late stages of OA [35]. At this stage, the catabolism of chondrocytes is accelerated, and chondrocytes are prone to cellular senescence after culturing in vitro.

Nevertheless, in the early stage of OA, the local loss of cartilage surface proteoglycan and the cleavage of type II collagen trigger a transient increase in chondrocyte proliferation and metabolic activity [36, 37]; unlike healthy chondrocytes, OA chondrocytes have a higher cell proliferation rate [38,39,40]. Moreover, proliferated human chondrocytes show fibroblast-like morphology and synthesize little extracellular matrix [41]. Therefore, based on the above results of chondrocyte proliferation, extracellular matrix synthesis, and chondrocyte morphology, the rat chondrocyte inflammation model is more suitable to simulate the cartilage inflammation state in the early stage of OA than the mouse chondrocyte inflammation model. In addition, the corresponding research findings are more reliable.

This study has compelling limitations. First, we only explored and compared in vitro inflammatory models of rat and mouse chondrocytes, yet they have not been simultaneously compared with inflammatory models of human chondrocytes. As such, based on the available relevant findings, we can only speculate that the rat chondrocyte inflammation model is more suitable for early OA-related studies. In future research, we should establish additional species of early chondrocyte inflammation models and compare them with human chondrocytes in early OA. This analysis will provide more reliable inflammation models for early OA in vitro experiments.

Conclusions

In conclusion, the expression of cytokines, chemokines, matrix metalloproteinases, and collagen in rat and mouse chondrocyte inflammation models was similar under similar inflammatory stimulation for a short period of time. However, considerable differences were noted in cell proliferation. Therefore, based on our results, the rat chondrocyte inflammation model may help in the study of the early pathological mechanism of OA.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

OA:

Osteoarthritis

MCM2:

Minichromosome maintenance 2

MCM5:

Minichromosome maintenance 5

PCNA:

Proliferating cell nuclear antigen

RC:

Rat control group

MC:

Mouse control group

RM:

Rat model group

MM:

Mouse model group

RIN:

RNA integrity number

FPKM:

Fragments per kilobase million

DEG:

Differentially expressed gene

EdU:

2.4 5‑Ethynyl‑2′‑deoxyuridine

PBS:

Phosphate-buffered saline

DAB:

Diaminobenzidine

MMPs:

Matrix metalloproteinases

References

  1. Woolf AD, Pfleger B. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81(9):646–56.

    PubMed  PubMed Central  Google Scholar 

  2. Poulet B, Beier F. Targeting oxidative stress to reduce osteoarthritis. Arthritis Res Ther. 2016;18:32. https://doi.org/10.1186/s13075-015-0908-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Xu B, Ye J, Yuan FZ, et al. Advances of stem cell-laden hydrogels with biomimetic microenvironment for osteochondral repair. Front Bioeng Biotechnol. 2020;8:247. https://doi.org/10.3389/fbioe.2020.00247.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Li HZ, Lin Z, Xu XH, Lin N, Lu HD. The potential roles of circRNAs in osteoarthritis: a coming journey to find a treasure. 2018. Biosci Rep. https://doi.org/10.1042/BSR20180542.

  5. Beard DJ, Davies LJ, Cook JA, et al. The clinical and cost-effectiveness of total versus partial knee replacement in patients with medial compartment osteoarthritis (TOPKAT): 5-year outcomes of a randomised controlled trial. Lancet. 2019;394(10200):746–56. https://doi.org/10.1016/S0140-6736(19)31281-4.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Tesche F, Miosge N. Perlecan in late stages of osteoarthritis of the human knee joint. Osteoarthritis Cartil. 2004;12(11):852–62. https://doi.org/10.1016/j.joca.2004.07.004.

    Article  CAS  Google Scholar 

  7. Li H, Wang D, Yuan Y, Min J. New insights on the MMP-13 regulatory network in the pathogenesis of early osteoarthritis. Arthritis Res Ther. 2017;19(1):248. https://doi.org/10.1186/s13075-017-1454-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Roos EM, Arden NK. Strategies for the prevention of knee osteoarthritis. Nat Rev Rheumatol. 2016;12(2):92–101. https://doi.org/10.1038/nrrheum.2015.135.

    Article  CAS  PubMed  Google Scholar 

  9. McCoy AM. Animal models of osteoarthritis: comparisons and key considerations. Vet Pathol. 2015;52(5):803–18. https://doi.org/10.1177/0300985815588611.

    Article  CAS  PubMed  Google Scholar 

  10. Kuyinu EL, Narayanan G, Nair LS, Laurencin CT. Animal models of osteoarthritis: classification, update, and measurement of outcomes. J Orthop Surg Res. 2016;11:19. https://doi.org/10.1186/s13018-016-0346-5.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Johnson CI, Argyle DJ, Clements DN. In vitro models for the study of osteoarthritis. Vet J. 2016;209:40–9. https://doi.org/10.1016/j.tvjl.2015.07.011.

    Article  PubMed  Google Scholar 

  12. Xu K, He Y, Moqbel SAA, Zhou X, Wu L, Bao J. SIRT3 ameliorates osteoarthritis via regulating chondrocyte autophagy and apoptosis through the PI3K/Akt/mTOR pathway. Int J Biol Macromol. 2021;175:351–60. https://doi.org/10.1016/j.ijbiomac.2021.02.029.

    Article  CAS  PubMed  Google Scholar 

  13. Tao T, Luo D, Gao C, et al. Src homology 2 domain-containing protein tyrosine phosphatase promotes inflammation and accelerates osteoarthritis by activating beta-catenin. Front Cell Dev Biol. 2021;9: 646386. https://doi.org/10.3389/fcell.2021.646386.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Wang X, Xue Y, Ye W, et al. The MEK-ERK1/2 signaling pathway regulates hyaline cartilage formation and the redifferentiation of dedifferentiated chondrocytes in vitro. Am J Transl Res. 2018;10(10):3068–85.

    CAS  PubMed  PubMed Central  Google Scholar 

  15. Chen J, Chu Y, Cao J, Yang Z, Guo X, Wang Z. T-2 toxin induces apoptosis, and selenium partly blocks, T-2 toxin induced apoptosis in chondrocytes through modulation of the Bax/Bcl-2 ratio. Food Chem Toxicol. 2006;44(4):567–73. https://doi.org/10.1016/j.fct.2005.09.004.

    Article  CAS  PubMed  Google Scholar 

  16. Qiu WJ, Xu MZ, Zhu XD, Ji YH. MicroRNA-27a alleviates IL-1beta-induced inflammatory response and articular cartilage degradation via TLR4/NF-kappaB signaling pathway in articular chondrocytes. Int Immunopharmacol. 2019;76: 105839. https://doi.org/10.1016/j.intimp.2019.105839.

    Article  CAS  PubMed  Google Scholar 

  17. Cunningham CC, Mills E, Mielke LA, et al. Osteoarthritis-associated basic calcium phosphate crystals induce pro-inflammatory cytokines and damage-associated molecules via activation of Syk and PI3 kinase. Clin Immunol. 2012;144(3):228–36. https://doi.org/10.1016/j.clim.2012.06.007.

    Article  CAS  PubMed  Google Scholar 

  18. Nees TA, Rosshirt N, Zhang JA, et al. Synovial cytokines significantly correlate with osteoarthritis-related knee pain and disability: inflammatory mediators of potential clinical relevance. J Clin Med. 2019;8(9):66. https://doi.org/10.3390/jcm8091343.

    Article  CAS  Google Scholar 

  19. Cabrero-de Las Heras S, Martinez-Balibrea E. CXC family of chemokines as prognostic or predictive biomarkers and possible drug targets in colorectal cancer. World J Gastroenterol. 2018;24(42):4738–49. https://doi.org/10.3748/wjg.v24.i42.4738.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Hou SM, Chen PC, Lin CM, Fang ML, Chi MC, Liu JF. CXCL1 contributes to IL-6 expression in osteoarthritis and rheumatoid arthritis synovial fibroblasts by CXCR2, c-Raf, MAPK, and AP-1 pathway. Arthritis Res Ther. 2020;22(1):251. https://doi.org/10.1186/s13075-020-02331-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Schlichting N, Dehne T, Mans K, et al. Suitability of porcine chondrocyte micromass culture to model osteoarthritis in vitro. Mol Pharm. 2014;11(7):2092–105. https://doi.org/10.1021/mp5000554.

    Article  CAS  PubMed  Google Scholar 

  22. Shoukri B, Prieto JC, Ruellas A, et al. Minimally invasive approach for diagnosing TMJ osteoarthritis. J Dent Res. 2019;98(10):1103–11. https://doi.org/10.1177/0022034519865187.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Santamaria S, Nuti E, Cercignani G, et al. N-O-isopropyl sulfonamido-based hydroxamates: kinetic characterisation of a series of MMP-12/MMP-13 dual target inhibitors. Biochem Pharmacol. 2012;84(6):813–20. https://doi.org/10.1016/j.bcp.2012.06.026.

    Article  CAS  PubMed  Google Scholar 

  24. Gosset M, Pigenet A, Salvat C, Berenbaum F, Jacques C. Inhibition of matrix metalloproteinase-3 and -13 synthesis induced by IL-1beta in chondrocytes from mice lacking microsomal prostaglandin E synthase-1. J Immunol. 2010;185(10):6244–52. https://doi.org/10.4049/jimmunol.0903315.

    Article  CAS  PubMed  Google Scholar 

  25. Mayer U, Benditz A, Grassel S. miR-29b regulates expression of collagens I and III in chondrogenically differentiating BMSC in an osteoarthritic environment. Sci Rep. 2017;7(1):13297. https://doi.org/10.1038/s41598-017-13567-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Baskey SJ, Andreana M, Lanteigne E, Ridsdale A, Stolow A, Schweitzer ME. Pre-clinical translation of second harmonic microscopy of meniscal and articular cartilage using a prototype nonlinear microendoscope. IEEE J Transl Eng Health Med. 2019;7:1800211. https://doi.org/10.1109/JTEHM.2018.2889496.

    Article  PubMed  Google Scholar 

  27. Imagawa K, de Andres MC, Hashimoto K, et al. Association of reduced type IX collagen gene expression in human osteoarthritic chondrocytes with epigenetic silencing by DNA hypermethylation. Arthritis Rheumatol. 2014;66(11):3040–51. https://doi.org/10.1002/art.38774.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Yousef EM, Furrer D, Laperriere DL, et al. MCM2: an alternative to Ki-67 for measuring breast cancer cell proliferation. Mod Pathol. 2017;30(5):682–97. https://doi.org/10.1038/modpathol.2016.231.

    Article  CAS  PubMed  Google Scholar 

  29. Su Z, Zheng X, Zhang X, et al. Sox10 regulates skin melanocyte proliferation by activating the DNA replication licensing factor MCM5. J Dermatol Sci. 2017;85(3):216–25. https://doi.org/10.1016/j.jdermsci.2016.12.002.

    Article  CAS  PubMed  Google Scholar 

  30. Choe KN, Moldovan GL. Forging ahead through darkness: PCNA, still the principal conductor at the replication fork. Mol Cell. 2017;65(3):380–92. https://doi.org/10.1016/j.molcel.2016.12.020.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Laphanuwat P, Likasitwatanakul P, Sittithumcharee G, et al. Cyclin D1 depletion interferes with oxidative balance and promotes cancer cell senescence. J Cell Sci. 2018. https://doi.org/10.1242/jcs.214726.

    Article  PubMed  Google Scholar 

  32. Freund A, Laberge RM, Demaria M, Campisi J. Lamin B1 loss is a senescence-associated biomarker. Mol Biol Cell. 2012;23(11):2066–75. https://doi.org/10.1091/mbc.E11-10-0884.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Xue JF, Shi ZM, Zou J, Li XL. Inhibition of PI3K/AKT/mTOR signaling pathway promotes autophagy of articular chondrocytes and attenuates inflammatory response in rats with osteoarthritis. Biomed Pharmacother. 2017;89:1252–61. https://doi.org/10.1016/j.biopha.2017.01.130.

    Article  CAS  PubMed  Google Scholar 

  34. Gao GC, Cheng XG, Wei QQ, Chen WC, Huang WZ. Long noncoding RNA MALAT-1 inhibits apoptosis and matrix metabolism disorder in interleukin-1beta-induced inflammation in articular chondrocytes via the JNK signaling pathway. J Cell Biochem. 2019;120(10):17167–79. https://doi.org/10.1002/jcb.28977.

    Article  CAS  PubMed  Google Scholar 

  35. Yang B, Ni J, Long H, Huang J, Yang C, Huang X. IL-1beta-induced miR-34a up-regulation inhibits Cyr61 to modulate osteoarthritis chondrocyte proliferation through ADAMTS-4. J Cell Biochem. 2018;119(10):7959–70. https://doi.org/10.1002/jcb.26600.

    Article  CAS  PubMed  Google Scholar 

  36. Xiao D, Bi R, Liu X, Mei J, Jiang N, Zhu S. Notch signaling regulates MMP-13 expression via Runx2 in chondrocytes. Sci Rep. 2019;9(1):15596. https://doi.org/10.1038/s41598-019-52125-5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Goldring MB, Marcu KB. Cartilage homeostasis in health and rheumatic diseases. Arthritis Res Ther. 2009;11(3):224. https://doi.org/10.1186/ar2592.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Aigner T, Zien A, Gehrsitz A, Gebhard PM, McKenna L. Anabolic and catabolic gene expression pattern analysis in normal versus osteoarthritic cartilage using complementary DNA-array technology. Arthritis Rheum. 2001;44(12):2777–89. https://doi.org/10.1002/1529-0131(200112)44:12%3c2777::aid-art465%3e3.0.co;2-h.

    Article  CAS  PubMed  Google Scholar 

  39. Koelling S, Kruegel J, Irmer M, et al. Migratory chondrogenic progenitor cells from repair tissue during the later stages of human osteoarthritis. Cell Stem Cell. 2009;4(4):324–35. https://doi.org/10.1016/j.stem.2009.01.015.

    Article  CAS  PubMed  Google Scholar 

  40. Varela-Eirin M, Loureiro J, Fonseca E, et al. Cartilage regeneration and ageing: Targeting cellular plasticity in osteoarthritis. Ageing Res Rev. 2018;42:56–71. https://doi.org/10.1016/j.arr.2017.12.006.

    Article  CAS  PubMed  Google Scholar 

  41. Johnson WEB, Ashton BA, Kwan A, Roberts S. In vitro manipulation of human chondrocyte and intervertebral disc cell morphology. Int J Exp Pathol. 2000;81(1):A16–7.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by the National Natural Science Foundation of China (81902306), the National Key R&D Program of China (Grant No. 2018YFC2001600), and Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation, Ministry of Education.

Author information

Author notes

  1. DaoFang Ding and Yan Xue have contributed equally to this work

Authors and Affiliations

  1. School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China

    Dao-Fang Ding, Jun-Peng Zhang, Wen-Yao Li & Jian-Guang Xu

  2. Center of Rehabilitation Medicine, Yueyang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China

    Dao-Fang Ding, Jun-Peng Zhang, Zeng-Qiao Zhang, Wen-Yao Li & Jian-Guang Xu

  3. Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Centre), Tongji University School of Medicine, Shanghai, 201613, China

    Yan Xue

  4. Shi’s Center of Orthopedics and Traumatology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China

    Yue-Long Cao

Authors
  1. Dao-Fang Ding
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yan Xue
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jun-Peng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zeng-Qiao Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Wen-Yao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yue-Long Cao
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jian-Guang Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

D-FD and YX were responsible for methodology and writing—original draft. D-FD, YX and J-PZ & Z-QZ were involved in validation. W-YL performed supervision. Y-LC performed project administration. J-GX was responsible for writing—review & editing. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jian-Guang Xu.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Experimental Animal Welfare and Ethics Committee of Shanghai University of Traditional Chinese Medicine and adhered to the relevant laws and regulations of experimental animal welfare ethics. The ethical approval number is PZSHUTCM200710008.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

A list of 635 genes with similar expression patterns in rats and mice.

Additional file 2.

A list of 4083 differentially expressed genes in rats and mice.

Additional file 3.

A list of 52 differential expressed genes belonging to the “cell cycle” signaling pathway.

Additional file 4.

Number of published reports on cell models of osteoarthritis.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ding, DF., Xue, Y., Zhang, JP. et al. Similarities and differences between rat and mouse chondrocyte gene expression induced by IL-1β. J Orthop Surg Res 17, 70 (2022). https://doi.org/10.1186/s13018-021-02889-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13018-021-02889-2

Keywords

  • Osteoarthritis
  • Chondrocyte inflammatory model
  • RNA-seq, Differentially expressed gene
  • Proliferation

Journal of Orthopaedic Surgery and Research

ISSN: 1749-799X