Investigating the protective effect of tanshinone IIA against chondrocyte dedifferentiation: a combined molecular biology and network pharmacology approach
Introduction
Osteoarthritis (OA) is a chronic degenerative disease with multifactorial etiology. No disease-modifying therapy for OA has been developed to date (1-3). There are several risk factors for OA, including genetics, body mass index, and injury, which can also contribute to disease progression. However, the exact etiology is still unknown. A variety of treatment modalities are available for the management of OA. Non-pharmacological interventions include weight loss and physical therapy (4). Nevertheless, for effective disease control, a combination of non-pharmacological and pharmacological interventions is needed. Traditional drugs include acetaminophen (paracetamol), nonsteroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, and intra-articular (IA) injection of hyaluronic acid (5). In the treatment of end-stage OA, joint replacement is one of the most commonly performed orthopedic procedures.
An increasing amount of evidence indicates that chondrocytes acquire a dedifferentiated phenotype during the process of OA (5), and their morphology usually changes from polygon into a spindle shape. The extracellular matrix (ECM) component is mainly characterized by decreased contents of glycosaminoglycan (GAG), collagen type II (Col II), and aggrecan (ACAN), and increased amounts of collagen type I (Col I), collagen type VI (Col VI), collagen type IX (Col IX), and collagen type X (Col X) (6). The validated markers of dedifferentiated chondrocytes are closely related to OA cartilage damage. These OA-linked deleterious factors can further accelerate or enhance the process of dedifferentiation (7). Given that chondrocytes can lose their specific phenotype in the process of OA, various methods have been developed in order to retain their phenotype.
Natural plant products have served as medicines for thousands of years. In particular, Traditional Chinese Medicine (TCM) has been widely used in clinical therapy. Increasing research suggests that its curative efficacy and small number of side effects might make it a key strategy for the treatment of OA (8,9). Salvia miltiorrhiza Bunge, commonly known as Danshen (Chinese Pinyin name), has been widely used for the prevention and treatment of OA (10), coronary artery disease, and liver fibrosis in China for thousands of years. Tanshinone IIA (TIIA, C19H18O3, PubChem CID:164676) is a class of abietane diterpene compounds isolated from Salvia miltiorrhiza Bunge, which have widespread pharmacologic effects including anti-inflammatory effects (11), anti-oxidant capacity (12), anti-cancer properties (13), and anti-atherosclerotic effects (14). Despite these findings, the molecular mechanisms underlying the protective effects of TIIA on chondrocytes are not fully understood. Furthermore, identifying a clear mechanism with routine pharmacological evaluation is challenging.
With the rapid development of bioinformatics and systems biology, the network pharmacology approach has emerged as a powerful tool for investigating the targets and therapeutic effects of drug interventions (15). A recent network pharmacology approach demonstrated that TIIA could alleviate liver fibrosis (16). We therefore hypothesized that bioinformatics analysis and pharmacological network analysis could be used to identify potential target genes and pathways involved in chondrocyte dedifferentiation, as well as to determine the protective effects of TIIA.
In order to address this hypothesis, the current study was designed to: (I) screen action targets related to TIIA and chondrocyte dedifferentiation; (II) construct an interaction network for putative targets of TIIA and dedifferentiation; (III) predict the possible mechanism of TIIA on chondrocyte dedifferentiation; (IV) detect the cell viability, proliferation, and transcription level of cartilage-related genes including SOX6, Col I, Col II, and Col X in dedifferentiated chondrocytes; (V) repair cartilage defects with chondrocyte/hydrogel beads after treatment with TIIA. A flowchart of the study design is illustrated in Figure 1.
We present the following article in accordance with the ARRIVE reporting checklist (available at http://dx.doi.org/10.21037/atm-20-4023).
Methods
Data preparation
The structure of TIIA (Figure 2A) was obtained from PubChem (https://pubchem.ncbi.nlm.nih.gov/). According to this structure, several databases including Pharmmapper (http://www.lilab-ecust.cn/pharmmapper/) (17), Swiss Target Prediction (http://www.swisstargetprediction.ch/) (18), and Drug bank (https://www.drugbank.ca/) (19) were used to obtain as many potential targets as possible. Thereafter, pharmacokinetic properties including absorption, distribution, metabolism, and excretion (ADME) were determined as the key contributors affecting bioactivities. TIIA was searched in databases including the TCM systems pharmacology database and analysis platform (TCMSP, http://tcmspw.com/tcmsp.php) (20), Bioinformatics Analysis Tool for Molecular mechANism of TCM (BATMAN, http://bionet.ncpsb.org/batman-tcm/index.php/Home/Index/index) (21), and the TCM Database (http://tcm.cmu.edu.tw/) (22), and screened with oral bioavailability (OB) ≥30% and drug-likeness (DL) ≥0.18 as the included criteria. Next, the potential targets of TIIA were collected by text mining with the Pathway Assembly from Literature Mining-an Information Search Tool (PALM-IST, http://www.hpppi.iicb.res.in/ctm/index.html) (23), which is a computational platform for users to explore biomedical literature resources (PubMed) using multiple keywords.
The chondrocyte dedifferentiation-related protein targets were screened using two existing resources, GeneCards (https://www.genecards.org/) and the Online Mendelian Inheritance in Man database (OMIM, https://omim.org/), and the keywords “chondrocyte” and “dedifferentiation”. Irrelevant results were removed manually and all results were limited to Homo sapiens.
All target proteins were standardized according to the Uniprot website (https://www.uniprot.org/) and the intersection data were taken (Figure 2B).
Related network construction and analysis
An interactive network was constructed with the putative targets of TIIA and cartilage dedifferentiation data. Protein interaction was studied using STRING (https://string-db.org/cgi/input.pl) and Cytoscape.
Next, related targets were imported to visualize the interaction network. For modularity analysis, two Cytoscape Network Analyzer plugins, molecular complex detection (MCODE) and CytoHubba, were used. MCODE was based on vertex weighting by local neighborhood density and outward traversal from a locally dense seed protein to isolate the dense regions according to given parameters. The algorithm had the advantage of permitting a directed mode that recognized all possible molecular complexes of particular protein networks. Meanwhile, Cytohubba ranked the nodes according to the attributes in the network, which provided 11 topological analysis methods. Densely connected regions in large protein-protein interaction (PPI) networks that might represent molecular complexes were detected.
To further understand the signaling pathways and functions of these genes, the targets of genes and hub genes were screened in functional enrichment analysis using DAVID (https://david.ncifcrf.gov/) and Metascape (http://metascape.org/gp/index.html#/main/step1) to annotate the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) terms. GO terms and KEGG pathways with P values <0.05 were considered statistically significant. The files could also be imported directly into the FunRich (24) tool for further analysis; this was carried out for additional visualization of the results and provided an intuitive impression of gene proportions.
Verification of the inhibitory effects of TIIA on chondrocyte dedifferentiation
Animals
All Sprague Dawley (SD) rats were purchased from the Experimental Animal Center of the Fourth Military Medical University (Xi’an, China). For in vitro assays, chondrocytes were isolated from the knee joint cartilage of rats (weight: 40–50 g; 2 weeks old). For the in vivo experiments in this study, female SD rats (weight: 180–200 g; 6 weeks old) were used. All procedures complied with the Animals (Scientific Procedures) Act 1986. All procedures involving animals were approved by the Animal Care and Use Committee of the Fourth Military Medical University (permission number: FMMU20180712), and were implemented complying with the Guidelines for the Care and Use of Laboratory Animals. All rats were maintained at 25±2 °C and 40–60% relative humidity on a 12-hour light/dark cycle with free access to food and water.
Cell culture and treatment
Chondrocytes were harvested from the knee joints of SD rats using the collagenase digestion method. Cells were resuspended in Dulbecco’s Modified Eagle Medium (DMEM, Gibco, USA) supplemented with 10% fetal bovine serum (FBS, Gibco) and cultured at 37 °C with 5% CO2. When cells reached 70–80% confluency, adherent cells were trypsinized, harvested, and further expanded to passage 4 (P4). Chondrocytes (P4) were then cultured in basal medium with various concentration of TIIA for further experiments as follows: (I) group A: cultured in basal medium; (II) group B: cultured in basal medium with TIIA (100 µg/mL); (III) group C: cultured in basal medium with TIIA (200 µg/mL); (IV) group D: cultured in basal medium with TIIA (400 µg/mL). The basal medium contained high glucose DMEM, 10% FBS, and 1% penicillin/streptomycin (P/S, 100 U/mL). All reagents were of analytical grade and the other non-specified reagents were form Solarbio (Solarbio, China).
Cell viability
Cell counting kit-8 (CCK-8) assay (Dojindo, Japan) was used to determine the viability of cells. Cells (P4) from groups A, B, C, and D were seeded in each well of a 96-well plate with 6 repeats (2×103/well). CCK-8 solution (20 µL) was added to each well after cells were incubated for 24, 48, or 72 hours, and further incubated for 4 hours at 37 °C. The optical density (OD) values were recorded at a wavelength of 540 nm. The experiments were performed 4 times independently.
Examination of cell morphology and Alcian blue staining
Cells from groups A, B, C, and D were cultured in 6-well plates for 72 hours. Morphological changes in the cells were then observed under an inverted microscope (Olympus, Japan).
Proteoglycans were evaluated with Alcian blue staining. Briefly, each well was hydrated through a graded ethanol series and stained with 1% (w/v) Alcian blue (Sigma, USA) solution in 3% (w/v) glacial acetic acid, pH 4.2, for 30 minutes, followed by washing with tap water for 10 minutes. The results were analyzed using Image J software to semi-quantify the average light density [integral OD (IOD)/area] values.
Real-time quantitative polymerase chain reaction (RT-qPCR)
A RT-qPCR analysis was carried out. The sequences of specific primer sets were listed in Table 1. According to the manufacturer’s instructions, total RNA was extracted from the chondrocytes of each group using TRIzol reagent (Sigma, USA). RNA was reverse transcribed into cDNA, then PCR-amplified using a TM One-Step RT-PCR kit with SYBR green reagent (Applied Biosystems, USA). The transcription level of genes was determined using the comparative Ct method.
Full table
Repair of cartilage defects
Preoperative preparation
SD rats (weight: 180–200 g; 6 weeks old) were purchased from Experimental Animal Center of the Fourth Military Medical University (Xi’an, China). Chondrocytes from the SD rats were applied to hydrogel spheres (2% alginate + 1% sodium hyaluronate) at a cell density of 4×105 cells/mL (Figure 3A,B). The chondrocytes/spheres were cultured for 48 hours in basal medium with or without 100 µg/mL TIIA. According to our previous study (25), the concentration of 100 µg/mL is effective for inhibiting chondrocyte dedifferentiation.
Cartilage defect repair
A full-thickness defect (thickness: 1.2–1.5 mm; diameter: 0.8 mm) was created through the articular cartilage in the aforementioned rats using a drill bit with a diameter of 0.8 mm (Figure 3C). Eighteen female SD rats were randomly assigned into three groups. The cell-loaded spheres with TIIA pre-treatment were implanted to fill chondral defects in group A (n = 6). In the control group, cell-loaded spheres without TIIA pre-treatment were implanted (group B, n=6). In the blank control group (group C, n=6), the defects were untreated. After surgery, all rats were allowed to move freely without plaster immobilization. All animals were sacrificed for subsequent analysis at 21 days postoperatively.
Histology analysis
For histological analysis, samples were harvested on day 21 postoperatively. The distal part of the femur was removed and fixed in 4% paraformaldehyde, decalcified in 10% ethylene diamine tetraacetic acid (EDTA), and embedded in paraffin. The samples were sectioned at a thickness of 10 µm and stained with hematoxylin and eosin (H&E), Safranin O/Fast Green, and Alcian blue. For immunohistochemical staining, the slides were incubated with primary antibodies for Col I, Col II, Col X, and SOX6 (Abcam, UK) at 4 °C overnight. A secondary antibody was added and incubated for 30 minutes. The sections were then incubated in horseradish enzyme-labeled chain avidin solution for 30 minutes at room temperature. The color was developed using a diaminobenzidine (DAB) substrate kit (Bioss Biotechnology, China). The results were evaluated by three individuals, who were blinded to the treatments.
Statistical analysis
Graphs were drawn using GraphPad Prism software and statistical analyses were performed using GraphPad Prism and SPSS. Comparisons between groups were analyzed using an unpaired Student’s t-test. Multiple group comparisons were performed using one-way analysis of variance (ANOVA) and repeated-measures ANOVA. P<0.05 was considered statistically significant.
Results
Screening out putative targets for TIIA
After the elimination of duplicates, 5,020 potential target genes of TIIA were identified in all databases. Additionally, 3,784 and 123 genes related to chondrocyte dedifferentiation were retrieved from the GeneCards and OMIM databases, respectively. From all the available resources, 28 overlapping putative protein targets were recognized from the two categories of targets described above (Figure 4A).
Compound-target network analysis
To elucidate the relationship between TIIA targets and chondrocyte dedifferentiation-related targets, the related network was constructed. By combining the results of STRING and Cytoscape, the PPI network comprised 33 nodes and 61 edges in total. In addition, seven hub genes including COL2A1, COL10A1, ADAMTS5, MMP13, COMP, GDF5, and SOX6 represented the crucial targets based on degree and betweenness centrality (Figure 4B), and were ranked by color according to the score of MCODE and CytoHubba.
Enrichment analysis of candidate targets for TIIA against dedifferentiation
The enrichment analysis of the 28 putative targets was conducted using Metascape, which is a web-based portal designed to provide a comprehensive gene list annotation and analysis resource. As shown in Figure 4C, GO analysis and KEGG pathway enrichment analysis were performed to clarify the characteristics of TIIA-related targets. The major targets were categorized into various functional modules including connective tissue development, ECM organization, skeletal system development, ossification, chondrocyte differentiation, and regulation of cartilage development. These findings suggested that various biological processes such as gene transcription and expression, chondrocyte development, intercellular contacts, and ECM remodeling were involved in the multiple synergistic effects of TIIA against chondrocyte dedifferentiation.
Inhibitory effect of TIIA on chondrocyte dedifferentiation in vitro
The CCK-8 assay indicated that the proliferation of chondrocytes in groups A, B, and C increased rapidly at the early stage of culture. The OD values for groups A, B, and C were 1.41±0.11, 1.52±0.19, and 1.64±0.17, respectively, at 24 hours, and 1.68±0.13, 2.63±0.16, and 2.05±0.09, respectively, at 48 hours after cell seeding. Thereafter, the curve of group C increased steadily and reached a peak at 72 hours with a value of 2.26±0.18. Contrastingly, the curves of groups A and B decreased, with values of 0.68±0.05 and 2.56±0.22 at 72 hours, respectively. The curve of group D initially decreased before reaching a plateau at 72 hours with a value of 0.33±0.03. The values of groups B and C at 72 hours were significantly higher than those of groups A and D (P<0.05) (Figure 5).
In groups B and C, dark staining of Alcian blue indicated that more GAG was produced at the concentration of 100–200 µg/mL TIIA. In contrast, in group D, Alcian blue staining was light with the concentration of 400 µg/mL TIIA (P<0.05) (Figure 6).
As previously reported, the hub genes were ranked by color. RT-qPCR analysis was used to examine the mRNA levels of chondrogenic genes including COL1A1, COL2A1, COL10A1, and SOX6. Compared with those in group A, the mRNA levels of Col II and SOX6 were significantly up-regulated in groups B and C. On the other hand, the transcription levels of Col I and Col X genes were dramatically down-regulated. However, in group D, the expression levels of all chondrogenic markers were significantly lower (Figure 7). These results indicated that the dedifferentiation of chondrocytes was affected by TIIA at various concentrations.
Effect of TIIA on cartilage defect repair
Figure 8 shows the macroscopic appearance of chondral defect repair at 21 days postoperatively. In group A, the implant was fused with host tissue and the interface had almost disappeared. The surface of the defects was more intact and smoother than that in group C. Alcian blue staining showed that the GAG content in group A was close to that in normal tissues. The chondrocytes in the repair region were observed to have a regular distribution and nearly normal morphology. Compared with group C, the repair region showed good subchondral bone reconstruction and hyaline-like cartilage formation, with a high amount of Col II and a lower amount of Col I and X (Figure 9).
In contrast, in group B, the subchondral bone was repaired incompletely, with less hyaline-like cartilage formation. The defect region was mostly filled with loose fibrotic tissue, and the surface was not smooth. In group C, a large blue-stained area was observed, which lacked normal cartilaginous structure. Higher levels of Col I and Col X, and a lower level of Col II, were also observed. These histological features indicated that pre-treatment with TIIA was beneficial for cartilage damage repair.
Discussion
OA is a pathological condition that is characterized by progressive cartilage degradation (5). During OA progression, dedifferentiated chondrocytes lose their chondrogenic characteristics and display a fibroblast-like morphology (26). In monolayer culture, the expanded chondrocytes dedifferentiate more easily, losing their chondrogenic characteristics (27,28). Therefore, differentiated chondrocytes in monolayer culture were used in this study to mimic dedifferentiated chondrocytes in OA. Common reasons for the development of OA include focal lesions, traumas, or articular overloading (28). Due to intrinsic avascularity and low cell population, damaged cartilage does not heal spontaneously. Therefore, the key issue facing pharmacological therapy for OA is to keep the chondrogenic phenotype of chondrocytes intact.
Using network pharmacology (29), the complexity of compounds and multiple targets of TCM can be better understood (30). Salvia miltiorrhiza Bunge (Danshen) has been clinically used in China for centuries to prevent and treat OA. Recently, it has been reported to prevent cartilage degeneration via its antioxidant capacity (31). The active components of Salvia miltiorrhiza Bunge, which include salvianolic acid, tanshinone, and isotanshinone, demonstrate oxidative resistance, free radical scavenging, and improvement of microcirculatory disturbance. TIIA, an important TCM monomer (32), has been used to treat coronary heart disease (33), stable angina (34), and liver fibrosis (35). A number of studies have indicated that TIIA has therapeutic effects for OA (36,37). Our previous study also showed that TIIA played diverse roles in the dedifferentiation of chondrocytes, which were concentration-dependent (25). However, the therapeutic effects of TIIA on OA and their underlying mechanisms still need to be further explored.
In this paper, only 28 targets including seven hub genes were screened and found to participate in the interaction of cartilage dedifferentiation and TIIA. The results suggested that the protective effects of TIIA can facilitate connective tissue development, ECM organization, skeletal system development, cartilage development, and chondrocyte differentiation, to regulate the occurrence and development of chondrocyte dedifferentiation.
Additionally, the chondrogenic potential of chondrocyte dedifferentiation was observed to vary with different concentrations of TIIA, which indicated that the stimulatory effect was concentration-dependent. However, it should be noted that the proliferation and viability of chondrocytes in vitro were promoted by TIIA at a concentration of 100–200 µg/mL, but inhibited by TIIA 400 µg/mL. Adaptive concentration (100–200 µg/mL) of TIIA could accelerate proliferation and maintain the viability of chondrocytes, as evidenced by morphological comparisons and the increased number of live cells in the TIIA-treated groups compared to the control. As described above, 100–200 µg/mL TIIA significantly promoted the secretion of GAG in chondrocytes, which was the main component of cartilage ECM revealed by Alcian blue staining. The results indicated that TIIA could support the network of ECM, thus contributing to the proliferation and phenotype maintenance of chondrocytes. Furthermore, at low concentrations (100–200 µg/mL), TIIA up-regulated the gene expression of Col II and SOX6 while down-regulating the gene expression of Col I and Col X (Figure 7). Previous studies showed that TIIA inhibited cartilage degeneration through suppressing apoptosis and inflammatory cytokine production (38). However, few studies have focused on chondrocyte dedifferentiation and cartilage regeneration. The current study suggested that TIIA could prevent chondrocytes from dedifferentiation. Moreover, cell-loaded spheres pre-treated with TIIA had better cartilage repair in the rat model (Figure 9).
As an early marker of chondrogenesis, Col II contributes to 90% of total collagen content and forms the fibrils, which give cartilage its tensile strength. Furthermore, Col II can protect chondrocytes and the ECM in cartilage by reversing cartilage degradation (39). Chondrocyte hypertrophy represents a late and critical stage of cartilage development. Col X, a chondrocyte hypertrophy marker, is closely related to dedifferentiation, indicating that TIIA could regulate chondrogenesis by inhibiting chondrocyte hypertrophy. The SOX family of transcription factors are believed to be closely associated with chondrogenesis and development (40), among which SOX9 is considered to be the master regulator (41). SOX6 is another SOX transcription factor with a high degree of homology to SOX9 (42). Genetic research has indicated that SOX5 and SOX6 are also critical transcription factors for cartilage development, and are both transcriptional targets of SOX9 (43). Therefore, our results suggest that while the effect of TIIA was mediated through multiple regulatory mechanisms, SOX6 is likely to be a direct target which coordinates the chondrocyte dedifferentiation process.
Conclusions
In summary, a network pharmacology method was used to investigate the pharmacological effects of TIIA on chondrocyte dedifferentiation. TIIA might serve as a potential candidate to promote chondrocyte proliferation and phenotype maintenance in OA treatment. This study also provides a possible combination strategy for investigating the mechanisms of monomers of the TIIA.
Acknowledgments
We sincerely thank Dr. Yijie Zhang for his assistance in designing the study and experiments.
Funding: This work was supported by the National Natural Science Foundation of China (No. 31971272).
Footnote
Reporting Checklist: The authors have completed the ARRIVE reporting checklist. Available at http://dx.doi.org/10.21037/atm-20-4023
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Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/atm-20-4023). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All animal experiments were approved by the Forth Military Medical University Animal Ethics Committee (permission number: FMMU20180712), and were implemented complying with the Guidelines for the Care and Use of Laboratory Animals.
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