Literature DB >> 31409761

Network Pharmacology Identifies the Mechanisms of Action of Shaoyao Gancao Decoction in the Treatment of Osteoarthritis.

Naiqiang Zhu1, Jingyi Hou2, Guiyun Ma1, Jinxin Liu2.   

Abstract

BACKGROUND Osteoarthritis (OA) affects the health and wellbeing of the elderly. Shaoyao Gancao decoction (SGD) is used in traditional Chinese medicine (TCM) for the treatment of OA and has two active components, shaoyao (SY) and gancao (GC). This study aimed to undertake a network pharmacology analysis of the mechanism of the effects of SGD in OA. MATERIAL AND METHODS The active compounds and candidates of SGD were obtained from the Traditional Chinese Medicine (TCM) Databases@Taiwan, the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, the STITCH database, the ChEMBL database, and PubChem. The network pharmacology approach involved network construction, target prediction, and module analysis. Significant signaling pathways of the cluster networks for SGD and OA were identified using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. RESULTS Twenty-three bioactive compounds were identified, corresponding to 226 targets for SGD. Also, 187 genes were closely associated with OA, of which 161 overlapped with the targets of SGD and were considered to be therapeutically relevant. Functional enrichment analysis suggested that SGD exerted its pharmacological effects in OA by modulating multiple pathways, including cell cycle, cell apoptosis, drug metabolism, inflammation, and immune modulation. CONCLUSIONS A novel approach was developed to systematically identify the mechanisms of the TCM, SGD in OA using network pharmacology analysis.

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Year:  2019        PMID: 31409761      PMCID: PMC6705180          DOI: 10.12659/MSM.915821

Source DB:  PubMed          Journal:  Med Sci Monit        ISSN: 1234-1010


Background

Osteoarthritis (OA) is an age-related degenerative disease that is characterized by the degradation of joint cartilage and inflammation of the synovium [1-3]. The typical clinical signs and symptoms of OA are pain, swelling, and stiffness, usually associated with reduced activity and limitation of movement [4]. Chronic OA results in the formation of osteophytes, and deformation and narrowing of the joint space. OA significantly reduces the quality of life for patients and can result in physical disability, which has an increasing socioeconomic and healthcare burden [5,6]. Severe OA commonly results in joint replacement, particularly in elderly individuals [7]. Currently, pharmacological treatments for OA primarily include the use of oral pain medication, including opioid analgesics, nonsteroidal anti-inflammatory drugs (NSAIDs), intra-articular injection of corticosteroids, and surgical treatment including osteotomy, arthroplasty, and arthrodesis [8-10]. However, pharmacological treatments for OA are aimed at alleviating the symptoms of the disease rather than treating the underlying causes, and have several side effects, including an increased risk of cardiovascular events and infection [11,12]. Therefore, more effective and safer therapeutic approaches are required for treating patients with OA. Traditional Chinese medicine (TCM) has been used widely for several decades for the treatment of a range of diseases and has the advantage of being inexpensive and widely available, and because many medicines are derived from natural sources such as herbs, they have fewer side effects [13]. Several TCMs have been used to treat OA and are both effective and safe [14,15]. Therefore, for the treatment of OA, it would be helpful to identify the most effective TCM compounds. Previous studies have shown that Shaoyao Gancao decoction (SGD) is effective in reducing the clinical symptoms of OA by improving joint function and movement. SGD is an effective formula that has been described in the Treatise on Febrile and Miscellaneous Diseases (Shang Han Za Bing Lun) by the third-century Chinese physician Zhang Zhognjing. SGD contains two Chinese herbal medicines, shaoyao (SY) derived from Radix Paeoniae Alba, and gancao (GC) derived from Glycyrrhizae Radix et Rhizoma, in a 1: 1 ratio [16]. Pharmacological studies have shown that the two compounds in the SGD formulation have a synergistic effect in reducing inflammation, pain, and swelling and improving joint function in patients with OA [17]. However, the underlying pharmacological mechanisms of action of SGD and its components in the treatment of OA remain unclear, and the pharmacodynamic properties of its components and key targets remain to be identified. Network pharmacology is a new and powerful method that integrates chemo-informatics, bio-informatics, network biology, network analysis and traditional pharmacology [18]. The method of network pharmacology conforms to the systemic or holistic view of TCM theory and is a novel strategy to elucidate the active compounds and potential mechanisms of TCM formulas. Therefore, this study aimed to use network pharmacology to identify the bioactive components and targets of SGD, to search for common targets for SGD in the treatment of OA, to understand the underlying mechanisms of action of the disease targets, and to mine for disease-related genes.

Material and Methods

Construction of a database of the components of Shaoyao Gancao decoction (SGD)

Figure 1 shows a schematic representation of the network pharmacology study of Shaoyao Gancao decoction (SGD) in the treatment of osteoarthritis (OA), including the two active components, shaoyao (SY) and gancao (GC). The data relating to the chemical compounds, SY and GC were derived from the Traditional Chinese Medicine (TCM) Databases@Taiwan () [19], and the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database () [20]. In total, 365 compounds were identified in SGD after removing the duplicate data, including 280 compounds in GC and 85 compounds in SY.
Figure 1

Schematic representation of network pharmacology study of Shaoyao Gancao decoction (SGD) in the treatment of osteoarthritis (OA). SGD – Shaoyao Gancao decoction; OA – osteoarthritis.

Screening of the active ingredients in SGD

The 365 potential compounds from SY and GC were filtered using two adsorption, distribution, metabolism, and excretion (ADME)-related models, integrating drug-likeness (DL) and oral bioavailability (OB). Drug-likeliness is a qualitative concept used in drug design to determine how drug-like a prospective compound is to describe and optimize pharmacokinetic and pharmaceutical properties [19,21]. Oral bioavailability indicates the drug-like nature of molecules as therapeutic agents and represents the relative amount of orally administered drug that reaches the blood circulation, shown by the convergence of the ADME process [22]. To identify the active components of SGD, the ingredients conforming to the requirements of both OB ≥30% and DL ≥0.18, based on the published literature and the information from the TCMSP database, were identified for further analysis [23]. Also, putative targets of potential compounds in SY and GC were identified from the STITCH, ChEMBL and PubChem databases, and those without target information were excluded.

Target genes related to the identified compounds

To identify the relevant targets of the potential compounds in SY and GC, the STITCH () [24], ChEMBL () [25], and PubChem () databases were used [26]. A final list of genes associated with compounds, with a confidence score of >0.7, was obtained that suggested a high confidence score according to STITCH. The ChEMBL is a manually curated database for storing standardized bioactivity, molecules, targets, and drug data, which are abstracted regularly from the primary medicinal chemistry literature [27]. The PubChem database is a resource for biological activities of small molecules, including substance information, compound structure, and bioactivity, and the data are experimentally validated. All the active ingredients identified in the present study were entered into the STITCH, ChEMBL and PubChem databases with the Homo sapiens species setting. The gene information, including the name, gene ID, and organism, was confirmed using the UniProt protein sequence resource () [28]. After removing duplicates, the detailed information of targets obtained is described in Supplementary Table 1.

Related targets of osteoarthritis (OA)

Information on OA-associated target genes was collected from the following resources. DrugBank () [29] is a comprehensive online database that provides extensive biochemical and pharmacological information on drugs and their mechanisms of action and targets, and 78 genes related to OA were identified from this database. GeneCards () is a comprehensive database incorporating information on all annotated and predicted genes [30], which was searched using the keyword “osteoarthritis,” which identified 46 genes. The Online Mendelian Inheritance in Man® (OMIM) database () [31] is a comprehensive research resource of human genes and genetic phenotypes, from which 65 genes associated with OA were selected. There were 187 targets linked with OA after deleting redundant targets, and the information regarding these targets is provided in Supplementary Table 2.

Construction of the pharmacological networks

Network construction was established using four main steps. First, a compound-compound target network was established by linking compounds and predicted targets with a degree of >3. Second, a protein-protein interaction (PPI) network of compounds and targets was developed by linking the compound targets and predicted targets of other human proteins. Third, a PPI network of OA targets was constructed by linking the known OA-related targets and predicted targets of other human proteins. Fourth, a PPI network of targets for SGD and OA was developed by intersecting the PPI network of compounds and the PPI network of OA targets. The graphical and diagrammatic visualized networks were constructed using Cytoscape version 3.7.0 () [32], which is a software package for visualizing network analysis.

Cluster analysis

Cluster analysis is a classification method that involves interconnected regions showing the inherent laws in the network [13]. The Molecular Complex Detection (MCODE) plug-in was used to detect densely connected regions and cluster analysis in the PPI network [33]. In this study, we selected significant cluster modules from the constructed PPI network using MCODE. The criteria settings were set as follows: node score cutoff=0.2; K-core=2; and degree of cutoff=2.

Gene Ontology (GO) and pathway enrichment analysis

The Gene Ontology (GO) database (), including biological process, cell component, and molecular function terms, was used to identify the possible biological mechanisms using high-throughput genome or transcriptome data [34]. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database () is a knowledge database for identifying the systematic functions and biological relevance of candidate targets [35]. In this study, GO functional annotation and KEGG pathway analysis were performed using Bioconductor clusterProfiler, an R package used for enrichment analysis of gene clusters [36].

Results

Screening for the active compounds of Shaoyao Gancao decoction (SGN) involved in osteoarthritis (OA)

From the two active components of Shaoyao Gancao decoction (SGD), shaoyao (SY) and gancao (GC), 365 compounds were obtained from the Traditional Chinese Medicine Systems Pharmacology(TCMSP) database and the traditional Chinese medicine (TCM) Databases@Taiwan, with 280 compounds from GC and 85 from SY. The values of oral bioavailability (OB) and drug-likeness (DL) (OB ≥30% and DL ≥0.18) were used to screen potential active compounds from GC and SY, and a total 23 active compounds met the screening standards. The properties of the compounds are shown in Table 1.
Table 1

The active ingredients of the two components of Shaoyao Gancao decoction (SGD), shaoyao (SY) and gancao (GC).

Molecule IDMolecule nameStructureOBDLHerb
MOL000359Sitosterol 36.910.75SY
MOL000358beta-Sitosterol 36.910.75SY
MOL000422Kaempferol 41.880.24SY
MOL001924Paeoniflorin 53.870.79SY
MOL000492(+)-Catechin 54.830.24SY
MOL000211Mairin 55.380.78BS
MOL001792Liquiritigenin 32.760.18GC
MOL000500Vestitol 74.660.21GC
MOL004328Naringenin 59.290.21GC
MOL000392Formononetin 69.670.21GC
MOL000417Calycosin 47.750.24GC
MOL0049917-Acetoxy-2-methylisoflavone 83.710.27GC
MOL000098Quercetin 46.430.28GC
MOL000354Isorhamnetin 49.60.31GC
MOL004910Glabranin 52.90.31GC
MOL002565Medicarpin 49.220.34GC
MOL004949Isolicoflavonol 45.170.42GC
MOL004908Glabridin 53.250.47GC
MOL001484Inermine 75.180.54GC
MOL004827Semilicoisoflavone B 48.780.55GC
MOL0049591-Methoxyphaseollidin 69.980.64GC
MOL004903Liquiritin 65.690.74GC
MOL004948Isoglycyrol 44.70.84GC

Target screening of SGD in the treatment of osteoarthritis

In the present study, the STITCH, ChEMBL, and PubChem databases were used to screen 226 targets corresponding to the active ingredients in SGD, with 188 targets for SY, 146 targets for GC, and 108 for SY and GC. These gene targets included cellular tumor antigen p53 (TP53), chlorotoxin derivative (CA4), estrogen receptor beta (ESR2), and multidrug resistance protein 1 (ABCB1), which are involved in inflammation [37], cell proliferation [38], and angiogenesis [39]. DrugBank, GeneCards, and the Online Mendelian Inheritance in Man® (OMIM) databases were also used to screen 187 targets associated with OA, removing compounds with duplication targets (Supplementary Table 3). The obtained compounds and targets were used to construct the pharmacology network.

Compound-compound network targets

A compound-compound target network was developed to identify the relationship between the compounds of SGD and their candidate targets (Figure 2). The compound-compound target network consisted of 101 nodes (23 compounds and 78 compound targets) and 338 edges (degree >3). The average degree of 14.69 per compound in such a network was based on the network analysis, demonstrating the multitarget treatment characteristics of SGD. In this network, the values of the degree for quercetin (degree=63) and kaempferol (degree=54) were considerably higher than that of the other components, suggesting that two chemicals probably were served as significant therapeutic compounds in OA.
Figure 2

The compound-compound target network of Shaoyao Gancao decoction (SGD) in the treatment of osteoarthritis (OA). Blue represents the compound targets, green represents the compounds of Shaoyao Gancao decoction (SGD), and red hexagons represent the central compounds of SGD.

Protein-protein interaction (PPI) network targets

The PPI networks of compound targets were developed to identify the interactions between SGD-related proteins and other relative proteins with 448 nodes (45 compound targets, 26 OA targets, 19 compound/OA targets, and other relevant proteins) and 1,869 edges (Figure 3) were constructed to determine the interactive effects of compounds modulated by SGD. About 19 intersection targets between compound targets and OA-related targets were identified in this network including, multidrug resistance protein 1 (ABCB1), multidrug resistance-associated protein 1(ABCC1), carbonic anhydrase 2, C-C motif chemokine 2, cytochrome P450 1A1 (CYP1A1), cytochrome P450 1A2 (CYP1A2), cytochrome P450 2C19, cytochrome P450 2C9 (CYP2C9), cytochrome P450 2D6 (CYP2D6), cytochrome P450 3A4 (CYP3A4), estrogen receptor (ER), estrogen receptor beta (ESR2), peroxisome proliferator-activated receptor alpha, peroxisome proliferator-activated receptor gamma, prostaglandin G/H synthase 2 (PTGS2), solute carrier organic anion transporter family member 1B1, TP53, UDP-glucuronosyltransferase 1–3 (UGT1A3), and UDP-glucuronosyltransferase 1–8.
Figure 3

The protein-protein interaction (PPI) network of compound targets of Shaoyao Gancao decoction (SGD) in the treatment of osteoarthritis (OA). Incarnadine (crimson) represent other proteins, purple represent compound targets, yellow represent osteoarthritis (OA) targets, and green represent compound/OA targets).

PPI network of OA targets

The PPI network of OA targets was developed to identify the relationship between the OA-related targets and other proteins, with 394 nodes (123 OA targets and 271 other proteins that interacted with OA targets) and 2,184 edges (Figure 4). Considering the median values for degree (10), betweenness centrality (81.71), and closeness centrality (104.63), 27 highly connected nodes with degree >20, betweenness centrality >81.71, and closeness centrality >104.63 were identified as significant OA-related targets. These targets included collagen alpha-2(V) chain, collagen alpha-1(XII) chain, cytochrome P450 3A5 (CYP3A5), CYP2C9, collagen alpha-1(XI) chain, collagen alpha-1(VI) chain, collagen alpha-1 (III) chain, collagen alpha-1(I) chain, collagen alpha-1(IX) chain, CYP1A2, collagen alpha-1(II) chain, nuclear receptor coactivator 1 (NCOA1), collagen alpha-1(X) chain, nuclear factor NF-kappa-B p105 subunit, UDP-glucuronosyltransferase 1-1 (UGT1A1), vascular endothelial growth factor A, C-C motif chemokine 5, CYP3A4, collagen alpha-2 (I) chain, IL-8, thrombospondin-1, plasminogen activator inhibitor 1, parathyroid hormone, plasminogen, transforming growth factor beta-1 proprotein, IL-6, and transcription factor AP-1 (JUN).
Figure 4

The protein-protein interaction (PPI) network of osteoarthritis (OA) targets. Green ovals represent osteoarthritis (OA) targets and purple ovals represent other human proteins that interacted with OA targets.

PPI network of targets for SGD in OA

To further identify the functional mechanisms of SGD in OA, the PPI network of targets for SGD in the treatment of OA was established by intersecting the two networks described above (Figure 5). The network was composed of 161 nodes (21 compound targets, 17 OA targets, 27 compound/OA targets, and 96 other proteins) and 546 edges (Figure 5). Based on the median values for degree, betweenness centrality, and closeness centrality, which were 6, 9.93, and 44.68, respectively, nodes with the degree, betweenness centrality, and closeness centrality values that were higher than the corresponding median values (degree >20, betweenness centrality >81.71, and closeness centrality >104.63) were considered as significant targets. The identified nodes included CYP3A4, nuclear receptor corepressor 1, TP53, JUN, CYP2C9, UGT1A1, CYP1A1, CYP1A2, NCOA1, nuclear receptor coactivator 2, UGT1A3, CYP3A5, CYP2D6, peroxisome proliferator-activated receptor gamma coactivator 1-alpha, IL-6, and tyrosine-protein kinase JAK2.
Figure 5

The protein-protein interaction (PPI) network of targets for Shaoyao Gancao decoction (SGD) in osteoarthritis (OA). Yellow ovals represent osteoarthritis (OA) targets, incarnadine (crimson) ovals represent compound targets, green ovals represent compound/OA targets, and blue ovals represent other human proteins that interacted with OA targets or compound targets.

The PPI network of targets for SGD in OA was analyzed by using Molecular Complex Detection (MCODE), and five modules were obtained (Figure 6A). The biological processes, molecular functions, and signaling pathways enriched by the targets in the cluster modules were used to clarify the integral regulation of SGD for the treatment of OA (Figure 6B, 6C). In Gene Ontology (GO) terms, we discovered that (i) fatty acid binding, hormone receptor binding, and microtubules; (ii) regulation of lipid metabolism, hormone receptor binding, and nuclear chromatin; (iii) protein phosphatase activator activity, adenylate cyclase binding, and negative regulation of ryanodine-sensitive calcium-release channel activity; (iv) chemokine receptor activity, C-C chemokine receptor activity, and caveola; and (v) X chromosome, cyclin-dependent protein kinase holoenzyme complex, and cyclin-dependent protein serine, were enriched in clusters, supporting the role of SGD in the treatment of OA. The KEGG enrichment analysis showed that the signaling pathways were enriched in different modules (Figure 6C) [40]. Module 1 was highly associated with drug metabolism, including cytochrome P450; Module 2 was highly associated with the 5′AMP-activated protein kinase (AMPK) signaling pathway; Module 3 was related to gastric acid secretion; Module 4 was associated with the tumor necrosis factor (TNF) signaling pathway and chemokine signaling pathway; Module 5 was associated with the p53 signaling pathway.
Figure 6

Enrichment analysis of the targets for Shaoyao Gancao decoction (SGD) in osteoarthritis (OA). (A) Clusters of the merged protein-protein interaction (PPI) network. Yellow ovals represent osteoarthritis (OA) targets, incarnadine (crimson) ovals represent compound targets, green ovals represent compound/OA targets, and blue ovals represent other human proteins that interacted with OA targets or compound targets. (B) The Gene Ontology (GO) pathway enrichment analysis of each cluster. (C) The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of each cluster.

Discussion

Osteoarthritis (OA) is a common form of chronic arthritis that is associated with painful symptoms that affect the quality of life for patients [41,42]. Currently, the therapeutic strategies for OA are mainly symptomatic and do not treat the underlying causes. Herbal traditional Chinese medicines (TCMs) contain several compounds that will have multiple targets, pathways, and modes of action but have been shown to treat the in OA [43]. Although Shaoyao Gancao decoction (SGD) has been used for centuries as an effective TCM for OA, its pharmacological mechanisms of action have been unclear. In this study, a network pharmacology approach was applied to determine the underlying mechanisms of SGD in OA. After screening SGD for oral bioavailability (OB) (≥30%) and drug-likeness (DL) (≥0.18), 23 bioactive compounds were retrieved, including quercetin (OB=46.43; DL=0.28) and kaempferol (OB=41.88; DL=0.24) as potential bioactive compounds. Quercetin, one of the most abundant bioflavonoids, is known for its anti-oxidative [44], anti-inflammatory [45], antimicrobial [46], and antiviral activities [47] and its active role in promoting apoptosis in arthritic fibroblast-like synoviocytes and in protecting chondrocytes against oxidative stress [48]. Qiu et al. showed that quercetin reduced the symptoms of OA by reducing the level of reactive oxygen species (ROS), reversing mitochondrial dysfunction, and maintaining the integrity of the extracellular matrix (ECM) of the joint cartilage [49]. Kaempferol, a dietary element and an important bioflavonoid in vegetables and fruits [50], has a variety of pharmacological effects and acts as an anti-oxidant, anti-inflammatory, anti-apoptotic, anti-estrogenic, and neuroprotective agent [51]. Studies have shown that kaempferol significantly reduced in IL-1β-stimulated pro-inflammatory mediators in rat OA chondrocytes by inhibiting the NF-κB pathway [52]. Paeoniflorin (OB=53.87; DL=0.79) plays an important role in immune regulation [53], and hepatic protection [54]. Several studies have reported that liquirtin (OB=65.69; DL=0.74) has multiple pharmacological effects, as an immunomodulating agent, with anti-inflammatory, anti-allergic, anti-oxidant, and antiviral properties [55]. The PPI network of candidate targets for SGD in the treatment of OA was established based on the component and OA target networks with 161 overlapping genes. Using the median values for the degree of betweenness centrality and closeness of centrality (degree >20, betweenness centrality >81.71, and closeness centrality >104.63), 16 targets were regarded as significant. It was apparent that most of these targets, including CYP3A4, CYP2C9, CYP1A1, CYP1A2, CYP3A5, and CYP2D6 in the cytochrome P450 family, were strongly associated with drug metabolism. For instance, CYP2D6 is involved in the metabolism of the dual opioid agonist and norepinephrine-serotonin re-uptake during OA therapy [56]. CYP2C9 is involved in the metabolism of several nonsteroidal anti-inflammatory drugs (NSAIDs), contributing to the wide variability in pharmacokinetics in the metabolism of drugs [56,57]. Some targets, such as TP53 and JAK2, are associated with cell growth. TP53 is associated with OA, and the SIRT1/TP53 signaling pathway modulates the pathogenesis of OA [58]. JAK2 has a role not only in mediating angiotensin-2-induced ARHGEF1 phosphorylation [59], but also cell in the cycle by phosphorylating CNKN1B [60]. Previous studies have shown that the TCM, danshen, reduces cartilage damage in OA by regulating the JAK2/STAT3 and the AKT signaling pathways [61]. Also, JAK2 is a direct target of miR-216a-5p, and long non-coding RNA (lncRNA) DANCR regulates the proliferation, inflammation, and apoptosis of chondrocytes in OA via the miR-216a-5p-JAK2-STAT3 axis [62]. Xiong et al. found that leptin levels significantly increased in the synovial fluid of patients with OA of the temporomandibular joint (TMJ), stimulating IL-6 expression mainly via the JAK2/STAT3, p38 MAPK, and PI3K/Akt pathways [63]. Previous studies have shown that lncRNA gastric cancer-associated transcript 3 affects cell proliferation in OA by the IL-6/STAT3 signaling pathway [64]. Because clustering modules can demonstrate the biological mechanisms of key targets in disease, we classified the PPI network into five clusters (Figure 6A), and performed the Gene Ontology (GO) analysis (Figure 6B) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (Figure 6C). Based on the GO terms, it may be proposed that the pharmacological effects of SGD in OA occurred by simultaneously activating these biological processes, cell components, and molecular functions. For example, Zhang et al. found that in a mouse model, pharmaceutical inhibition of the fatty acid binding pathway reduced the symptoms of OA induced by a high-fat diet [65]. Also, lipid metabolism is a chemical reaction involving lipids, which are compounds soluble in organic solvents [66]. Park et al. showed that the functional integrity of ABCD2 in modulating lipid metabolism was through the dysregulation of miR-141, and through ACSL4 in OA [67]. From the findings of the present study, based on the KEGG terms, the potential targets for SGD in the treatment of OA were associated with the 5′AMP-activated protein kinase (AMPK) signaling pathway, the tumor necrosis factor (TNF) signaling pathway, and the p53 signaling pathway. In the AMPK signaling pathway, AMPK serves as an intracellular sensor that not only regulates protein synthesis related to inflammation but also modulates the energy balance within chondrocytes [68]. Previous studies have shown that several bioactive compounds protect against cartilage degeneration in an OA model via the AMPK signaling pathway, including increased mitochondrial biogenesis and reduced mitochondrial dysfunction [69,70]. Zhou et al. showed that AMPK activity in chondrocytes was involved in joint homeostasis and that OA developed by promoting chondrocyte apoptosis and enhancing catabolic activity [71]. As for the TNF signaling pathway, it includes apoptosis, cell survival, inflammation, and immune function [72]. The TNF signaling pathway is important in protecting against the effects of OA, and the correlation between TNF-α levels and the degree of OA has previously been shown [73,74]. Also, the p53 signaling pathway is involved in coordinating cellular responses to different types of stress and in promoting tumor progression. Yan et al. showed that microRNA-34a had a role in chondrocyte apoptosis and proliferation by modulating the SIRT1/p53 signaling pathway in OA [58]. However, we found that pharmacological studies on the mechanisms and targets of the effects of SGD in the treatment of OA were previously limited. Based on the findings from the present study, future studies should be undertaken to assess the relationship between agents used in TCM, including SGD in OA, and their effects in terms of specific targets at the molecular level to validate the results based on data analysis.

Conclusions

This study aimed to undertake a network pharmacology analysis of the mechanism of the effects of the traditional Chinese medicine (TCM), Shaoyao Gancao decoction (SGD), in osteoarthritis (OA). The findings showed that SGD exerted its pharmacological effects in OA by modulating multiple pathways, including the cell cycle, cell apoptosis, drug metabolism, inflammation, and immune modulation. This study also provided a theoretical basis to determine the synergistic effects of TCM in treating diseases and the role of systematic network pharmacology in elucidating the potential mechanisms of action of TCMs. However, as this study was based on data mining and data analysis, further clinical validation studies should be undertaken on the role of SGD in OA. GSD-associated target genes. Osteoarthritis-associated target genes. SGD compound targets.
Supplementary Table 1.

GSD-associated target genes.

Gene symbolHerb
ABCC2GC
APOBGC
ATAD5GC
BAZ2BGC
BDNFGC
BRCA1GC
CALM1GC
CBR1GC
CBR3GC
CBX1GC
CCL2GC
GFERGC
GSK3AGC
HMOX1GC
HSPA5GC
LDLRGC
MAPK8GC
MAPK9GC
MAZFGC
MBNL1GC
MLLT3GC
MMP9GC
NOS2GC
PDE5AGC
PLA2G7GC
PPME1GC
RAPGEF1GC
RAPGEF3GC
SHBGGC
SLC5A1GC
SLC5A2GC
SLCO2B1GC
SMAD3GC
SMPD1GC
TIM23GC
UGT1A1GC
UGT1A10GC
UGT2B15GC
ABCB11SY
ABCG5SY
ABCG8SY
ADAM10SY
ADAM17SY
ALBSY
ALPISY
ALPLSY
APOBEC3FSY
APOBEC3GSY
APOESY
ARSASY
BIRC5SY
BLMSY
CATSY
CDK1SY
CFTRSY
CHRM1SY
CISD1SY
CTDSP1SY
CTSDSY
CYCSSY
CYP2A7SY
CYP7A1SY
DHCR24SY
DNMT1SY
DRD2SY
EHMT2SY
GAASY
GLI1SY
GLI3SY
GLSSY
GPBAR1SY
GPTSY
HSD11B2SY
HSF1SY
HSP90AA1SY
HSP90AB1SY
ICAM1SY
IL8SY
KCNA5SY
KCNH2SY
KCNMA1SY
LMNB1SY
NOS3SY
NPSR1SY
NQO1SY
NR1H2SY
NR1H3SY
NR1I2SY
NR1I3SY
PIM2SY
PLCG1SY
PLCG2SY
PMP22SY
PRKAA2SY
PRKCBSY
PRKCESY
PTPRSSY
PYGMSY
RACGAP1SY
RARASY
RECQLSY
RORCSY
RPS6KA3SY
SAE1SY
SOD1SY
SP1SY
SREBF1SY
SREBF2SY
STK16SY
STK33SY
SYKSY
TLR4SY
UBA2SY
UBE2ISY
UGT1A7SY
UGT1A9SY
UGT3A1SY
XIAPSY
ABCB1GC, SY
ABCC1GC, SY
ABCG2GC, SY
ACHEGC, SY
AHRGC, SY
AKR1B1GC, SY
AKR1B10GC, SY
AKT1GC, SY
ALDH1A1GC, SY
ALOX15GC, SY
ALOX15BGC, SY
ALOX5GC, SY
AMY1AGC, SY
APEX1GC, SY
APPGC, SY
ARGC, SY
ATXN2GC, SY
BACE1GC, SY
BCHEGC, SY
CA1GC, SY
CA12GC, SY
CA2GC, SY
CA4GC, SY
CA7GC, SY
CASP3GC, SY
CDK6GC, SY
CLK1GC, SY
CYP19A1GC, SY
CYP1A1GC, SY
CYP1A2GC, SY
CYP1B1GC, SY
CYP2C19GC, SY
CYP2C9GC, SY
CYP2D6GC, SY
CYP3A4GC, SY
DAPK1GC, SY
DPP4GC, SY
DYRK1AGC, SY
EGFRGC, SY
ESR1GC, SY
ESR2GC, SY
ESRRAGC, SY
F2GC, SY
FEN1GC, SY
FLT3GC, SY
GBAGC, SY
GLO1GC, SY
GLP1RGC, SY
GMNNGC, SY
GSK3BGC, SY
HDAC9GC, SY
HIF1AGC, SY
HPGDGC, SY
HSD17B1GC, SY
HSD17B10GC, SY
HSD17B2GC, SY
IDH1GC, SY
KDM4AGC, SY
KDM4EGC, SY
LMNAGC, SY
MAPTGC, SY
MDM2GC, SY
MDM4GC, SY
MPGGC, SY
NEU2GC, SY
NFE2L2GC, SY
NFKB1GC, SY
NFKB2GC, SY
NOX4GC, SY
NR1H4GC, SY
NR3C1GC, SY
OPRD1GC, SY
OPRK1GC, SY
OPRM1GC, SY
PAFAH1B3GC, SY
PIM1GC, SY
PIP4K2AGC, SY
PNLIPGC, SY
POLBGC, SY
POLHGC, SY
POLIGC, SY
POLKGC, SY
PON1GC, SY
PPARAGC, SY
PPARDGC, SY
PPARGGC, SY
PREPGC, SY
PTGS1GC, SY
PTGS2GC, SY
PTH1RGC, SY
PTPN1GC, SY
RAPGEF4GC, SY
RELAGC, SY
RGS4GC, SY
RXRAGC, SY
SIAEGC, SY
SLCO1B1GC, SY
SLCO1B3GC, SY
SMN1GC, SY
TDP1GC, SY
TOP2AGC, SY
TP53GC, SY
TYRGC, SY
UGT1A3GC, SY
UGT1A4GC, SY
UGT1A8GC, SY
USP1GC, SY
XDHGC, SY
Supplementary Table 2.

Osteoarthritis-associated target genes.

UniProt IDGene symbolDescriptionOrganismSource
P43026GDF5Growth/differentiation factor 5Homo sapiensOMIM
P02458COL2A1Collagen, type II, alpha-1Homo sapiensOMIM
P16112ACANAggrecanHomo sapiensOMIM
Q9BXN1ASPNAsporinHomo sapiensOMIM
P84022SMAD3Mothers against decapentaplegic, drosophila, homolog OF, 3Homo sapiensOMIM
P0DI81TRAPPC2Tracking protein particle complex, subunit 2Homo sapiensOMIM
Q92765FRZBFrizzled-related proteinHomo sapiensOMIM
P20849COL9A1Collagen, type IX, alpha-1Homo sapiensOMIM
Q99814EPAS1Endothelial pas domain protein 1Homo sapiensOMIM
P49747COMPCartilage oligomeric matrix proteinHomo sapiensOMIM
Q9UNA0ADAMTS5A disintegrin-like and metalloproteinase with thrombospondin type 1 Motif, 5Homo sapiensOMIM
O15232MATN3Matrilin 3Homo sapiensOMIM
Q14623IHHIndian HedgehogHomo sapiensOMIM
Q9NRR1CYTL1Cytokine-like protein 1Homo sapiensOMIM
P49190PTH2RParathyroid hormone 2 receptorHomo sapiensOMIM
Q92731ESR2Estrogen receptor 2Homo sapiensOMIM
P41159LEPLeptinHomo sapiensOMIM
P0DP23CALM1Calmodulin 1Homo sapiensOMIM
P41180CASRCalcium-sensing receptorHomo sapiensOMIM
P98066TNFAIP6Tumor necrosis factor-apha-induced protein 6Homo sapiensOMIM
Q92743HTRA1HTRA serine peptidase 1Homo sapiensOMIM
P13942COL11A2Collagen, type XI, alpha-2Homo sapiensOMIM
Q9UHF7TRPS1Trichorhinophalangeal syndrome, type IHomo sapiensOMIM
P11473VDRVitamin D receptorHomo sapiensOMIM
Q92633LPAR1Lysophosphatidic acid receptor 1Homo sapiensOMIM
P30044PRDX5Peroxiredoxin 5Homo sapiensOMIM
Q9HCJ1ANKHANK, mouse, Homolog OFHomo sapiensOMIM
Q9Y2L9LRCH1Leucine-rich repeats and calponin homology domain-containing 1Homo sapiensOMIM
P98160HSPG2Heparan sulfate proteoglycan of basement membraneHomo sapiensOMIM
P56199ITGA1Integrin, alpha-1Homo sapiensOMIM
P45452MMP13Matrix metalloproteinase 13Homo sapiensOMIM
P02452COL1A1Collagen, type I, alpha-1Homo sapiensOMIM
P03372ESR1Estrogen receptor 1Homo sapiensOMIM
P13500CCL2Chemokine, CC Motif, ligand 2Homo sapiensOMIM
Q16552IL17AInterleukin 17AHomo sapiensOMIM
P78536ADAM17A disintegrin and metalloproteinase domain 17Homo sapiensOMIM
P51884LUMLumicanHomo sapiensOMIM
P48061CXCL12Chemokine, CXC Motif, ligand 12Homo sapiensOMIM
P43235CTSKCathepsin KHomo sapiensOMIM
P11712CYP2C9Cytochrome P450, subfamily Iic, polypeptide 9Homo sapiensOMIM
Q99969RARRES2Retinoic acid receptor responder 2Homo sapiensOMIM
Q9NS15LTBP3Latent transforming growth factor-beta-binding protein 3Homo sapiensOMIM
Q9HCN6GP6Glycoprotein VI, plateletHomo sapiensOMIM
P24001IL32Interleukin 32Homo sapiensOMIM
Q92954PRG4Proteoglycan 4Homo sapiensOMIM
O94907DKK1DICKKOPF, Xenopus, Homolog OF, 1Homo sapiensOMIM
Q9H5V8CDCP1CUB domain-containing protein 1Homo sapiensOMIM
Q9Y2U5MAP3K2Mitogen-activated protein kinase kinase kinase 2Homo sapiensOMIM
Q8TCG1CIP2ACell proliferation-regulating inhibitor of protein phosphatase 2AHomo sapiensOMIM
P14784IL2RBInterleukin 2 receptor, betaHomo sapiensOMIM
P17931LGALS3Lectin, galactoside-binding, soluble, 3Homo sapiensOMIM
Q14050COL9A3Collagen, Type IX, alpha-3Homo sapiensOMIM
P02751FN1Fibronectin 1Homo sapiensOMIM
P30203CD6CD6 antigenHomo sapiensOMIM
Q96S44TP53Tumor protein P53Homo sapiensOMIM
P31785IL2RGInterleukin 2 receptor, gammaHomo sapiensOMIM
P55287CDH11Cadherin 11Homo sapiensOMIM
Q8WVB3HEXDCHexosaminidase (glycosyl hydrolase family 20, catalytic domain)-containing proteinHomo sapiensOMIM
O75711SCRG1Stimulator of chondrogenesis 1Homo sapiensOMIM
P35354PTGS2Prostaglandin-endoperoxide synthase 2Homo sapiensOMIM
Q12794HYAL1Hyaluronoglu-cosaminidase 1Homo sapiensOMIM
Q8IUL8CILP2Cartilage intermediate layer protein 2Homo sapiensOMIM
Q8WVQ1CANT1Calcium-activated nucleotidase 1Homo sapiensOMIM
Q03692COL10A1Collagen, Type X, alpha-1Homo sapiensOMIM
P10600TGFB3Transforming growth factor, beta-3Homo sapiensOMIM
O15530PDPK13-phosphoinositide-dependent protein kinase 1Homo sapiensDrugbank
P52209PGD6-phosphogluconate dehydrogenase, decarboxylatingHomo sapiensDrugbank
Q9Y215COLQAcetylcholinesteraseHomo sapiensDrugbank
P78348ASIC1Acid-sensing ion channel 1Homo sapiensDrugbank
O60218AKR1B10Aldo-keto reductase family 1 member B10Homo sapiensDrugbank
P42330AKR1C3Aldo-keto reductase family 1 member C3Homo sapiensDrugbank
P10275ARAndrogen receptorHomo sapiensDrugbank
Q07817BCL2L1Apoptosis regulator Bcl-2Homo sapiensDrugbank
P09917ALOX5Arachidonate 5-lipoxygenaseHomo sapiensDrugbank
Q2M3GOABCB5ATP-binding cassette sub-family B member 5Homo sapiensDrugbank
Q96J66ABCC11ATP-binding cassette sub-family C member 11Homo sapiensDrugbank
Q9UNQ0ABCG2ATP-binding cassette sub-family G member 2Homo sapiensDrugbank
Q92887ABCC2Canalicular multispecific organic anion transporter 1Homo sapiensDrugbank
O15438ABCC3Canalicular multispecific organic anion transporter 2Homo sapiensDrugbank
P00918CA2Carbonic anhydrase 2Homo sapiensDrugbank
P07451CA3Carbonic anhydrase 3Homo sapiensDrugbank
P06276BCHECholinesteraseHomo sapiensDrugbank
P08185SERPINA6Corticosteroid-binding globulinHomo sapiensDrugbank
P25024CXCR1C-X-C chemokine receptor type 1Homo sapiensDrugbank
P13569CFTRCystic fibrosis transmembrane conductance regulatorHomo sapiensDrugbank
P04798CYP1A1Cytochrome P450 1A1Homo sapiensDrugbank
P05177CYP1A2Cytochrome P450 1A2Homo sapiensDrugbank
P11509CYP2A6Cytochrome P450 2A6Homo sapiensDrugbank
P20813CYP2B6Cytochrome P450 2B6Homo sapiensDrugbank
P33260CYP2C18Cytochrome P450 2C18Homo sapiensDrugbank
P33261CYP2C19Cytochrome P450 2C19Homo sapiensDrugbank
P10632CYP2C8Cytochrome P450 2C8Homo sapiensDrugbank
P10635CYP2D6Cytochrome P450 2D6Homo sapiensDrugbank
P05182CYP2E1Cytochrome P450 2E1Homo sapiensDrugbank
P08684CYP3A4PCytochrome P450 3A4Homo sapiensDrugbank
P20815CYP3A5Cytochrome P450 3A5Homo sapiensDrugbank
P02693FABP2Fatty acid-binding protein, intestinalHomo sapiensDrugbank
P04150NR3C1Glucocorticoid receptorHomo sapiensDrugbank
P25021HRH2Histamine H2 receptorHomo sapiensDrugbank
Q04760GLO1Lactoylglutathione lyaseHomo sapiensDrugbank
P23141CES1Liver carboxylesterase 1Homo sapiensDrugbank
P27361MAPK3Mitogen-activated protein kinase 3Homo sapiensDrugbank
P08183ABCB1Multidrug resistance protein 1Homo sapiensDrugbank
P33527ABCC1Multidrug resistance-associated protein 1Homo sapiensDrugbank
O15439ABCC4Multidrug resistance-associated protein 4Homo sapiensDrugbank
O95255ABCC6Multidrug resistance-associated protein 6Homo sapiensDrugbank
P05164MPOMyeloperoxidaseHomo sapiensDrugbank
Q07869PPARAPeroxisome proliferator-activated receptor alphaHomo sapiensDrugbank
Q03181PPARDPeroxisome proliferator-activated receptor deltaHomo sapiensDrugbank
P37231PPARGPeroxisome proliferator-activated receptor gammaHomo sapiensDrugbank
P14555PLA2G2APhospholipase A2, membrane associatedHomo sapiensDrugbank
O43526KCNQ2Potassium voltage-gated channel subfamily KQT member 2Homo sapiensDrugbank
O43525KCNQ3Potassium voltage-gated channel subfamily KQT member 3Homo sapiensDrugbank
Q9Y5Y4PTGDR2Prostaglandin D2 receptor 2Homo sapiensDrugbank
P34995PTGER1Prostaglandin E2 receptor EP1 subtypeHomo sapiensDrugbank
Q8VDQ1PTGR2Prostaglandin reductase 2Homo sapiensDrugbank
P19793RXRARetinoic acid receptor RXR-alphaHomo sapiensDrugbank
Q9Y5Y9SCN10ASodium channel protein type 10 subunit alphaHomo sapiensDrugbank
P35499SCN4ASodium channel protein type 4 subunit alphaHomo sapiensDrugbank
Q14973SLC10A1Sodium/bile acid cotransporterHomo sapiensDrugbank
P46059SLC15A1Solute carrier family 15 member 1Homo sapiensDrugbank
Q9NSA0SLC22A11Solute carrier family 22 member 11Homo sapiensDrugbank
O15244SLC22A2Solute carrier family 22 member 2Homo sapiensDrugbank
Q8VC69SLC22A6Solute carrier family 22 member 6Homo sapiensDrugbank
Q9Y694SLC22A7Solute carrier family 22 member 7Homo sapiensDrugbank
Q8TCC7SLC22A8Solute carrier family 22 member 8Homo sapiensDrugbank
P46721SLCO1A2Solute carrier organic anion transporter family member 1A2Homo sapiensDrugbank
Q9Y6L6SLCO1B1Solute carrier organic anion transporter family member 1B1Homo sapiensDrugbank
Q9NYB5SLCO1C1Solute carrier organic anion transporter family member 1C1Homo sapiensDrugbank
O94956SLCO2B1Solute carrier organic anion transporter family member 2B1Homo sapiensDrugbank
P07204THBDThrombomodulinHomo sapiensDrugbank
P00750PLATTissue-type plasminogen activatorHomo sapiensDrugbank
P02766TTRTransthyretinHomo sapiensDrugbank
P48775TDO2Tryptophan 2,3-dioxygenaseHomo sapiensDrugbank
P22309UGT1A1UDP-glucuronosyltransferase 1-1Homo sapiensDrugbank
Q9HAW8UGT1A10UDP-glucuronosyltransferase 1-10Homo sapiensDrugbank
P35503UGT1A3UDP-glucuronosyltransferase 1-3Homo sapiensDrugbank
Q9HAW9UGT1A8UDP-glucuronosyltransferase 1-8Homo sapiensDrugbank
O60656UGT1A9UDP-glucuronosyltransferase 1-9Homo sapiensDrugbank
P06133UGT2B4UDP-glucuronosyltransferase 2B4Homo sapiensDrugbank
P16662UGT2B7UDP-glucuronosyltransferase 2B7Homo sapiensDrugbank
P02768ALBSerum albuminHomo sapiensDrugbank, Genecards
P23219PTGS1Prostaglandin G/H synthase 1Homo sapiensDrugbank, Genecards
P01584IL1BInterleukin 1 BetaHomo sapiensGenecards
P08123COL1A2Collagen Type I Alpha 2 ChainHomo sapiensGenecards
P08254MMP3Matrix Metallopeptidase 3Homo sapiensGenecards
P01375TNFTumor Necrosis FactorHomo sapiensGenecards
P08887IL6Interleukin 6Homo sapiensGenecards
P03956MMP1Matrix Metallopeptidase 1Homo sapiensGenecards
P01137TGFB1Transforming Growth Factor Beta 1Homo sapiensGenecards
O75339CILPCartilage Intermediate Layer ProteinHomo sapiensGenecards
Q9NUQ7UFSP2UFM1 Specific Peptidase 2Homo sapiensGenecards
Q14055COL9A2Collagen Type IX Alpha 2 ChainHomo sapiensGenecards
O14788TNFSF11TNF Superfamily Member 11Homo sapiensGenecards
P10145CXCL8C-X-C Motif Chemokine Ligand 8Homo sapiensGenecards
O00300TNFRSF11BTNF Receptor Superfamily Member 11bHomo sapiensGenecards
P01033TIMP1TIMP Metallopeptidase Inhibitor 1Homo sapiensGenecards
O75173ADAMTS4ADAM Metallopeptidase With Thrombospondin Type 1 Motif 4Homo sapiensGenecards
P50443SLC26A2Solute Carrier Family 26 Member 2Homo sapiensGenecards
Q16832DDR2Discoidin Domain Receptor Tyrosine Kinase 2Homo sapiensGenecards
Q9HBA0TRPV4Transient Receptor Potential Cation Channel Subfamily V Member 4Homo sapiensGenecards
P02741CRPC-Reactive ProteinHomo sapiensGenecards
P22301IL10Interleukin 10Homo sapiensGenecards
P36222CHI3L1Chitinase 3 Like 1Homo sapiensGenecards
O15068MCF2LMCF.2 Cell Line Derived Transforming Sequence LikeHomo sapiensGenecards
P12107COL11A1Collagen Type XI Alpha 1 ChainHomo sapiensGenecards
Q14807KIF22Kinesin Family Member 22Homo sapiensGenecards
P22003BMP5Bone Morphogenetic Protein 5Homo sapiensGenecards
P48436SOX9SRY-Box 9Homo sapiensGenecards
P18510IL1RNInterleukin 1 Receptor AntagonistHomo sapiensGenecards
P02461COL3A1Collagen Type III Alpha 1 ChainHomo sapiensGenecards
P21941MATN1Matrilin 1, Cartilage Matrix ProteinHomo sapiensGenecards
Q8WXS8ADAMTS14ADAM Metallopeptidase With Thrombospondin Type 1 Motif 14Homo sapiensGenecards
P22607FGFR3Fibroblast Growth Factor Receptor 3Homo sapiensGenecards
P51798CLCN7Chloride Voltage-Gated Channel 7Homo sapiensGenecards
P35555FBN1Fibrillin 1Homo sapiensGenecards
P10912GHRGrowth Hormone ReceptorHomo sapiensGenecards
P02818BGLAPBone Gamma-Carboxyglutamate ProteinHomo sapiensGenecards
P63092GNASGNAS Complex LocusHomo sapiensGenecards
Q16394EXT1Exostosin Glycosyltransferase 1Homo sapiensGenecards
P01583IL1AInterleukin 1 AlphaHomo sapiensGenecards
Q86Y38XYLT1Xylosyltransferase 1Homo sapiensGenecards
P208908COL5A1Collagen Type V Alpha 1 ChainHomo sapiensGenecards
Q9GIY3HLA-DRB1Major Histocompatibility Complex, Class II, DR Beta 1Homo sapiensGenecards
Q9Y2R2PTPN22Protein Tyrosine Phosphatase, Non-Receptor Type 22Homo sapiensGenecards
O15266SHOXShort Stature HomeoboxHomo sapiensGenecards
Q93099HGDHomogentisate 1,2-DioxygenaseHomo sapiensGenecards
Supplementary Table 3.

SGD compound targets.

Gene symbolHerb
ABCC2GC
APOBGC
ATAD5GC
BAZ2BGC
BDNFGC
BRCA1GC
CALM1GC
CBR1GC
CBR3GC
CBX1GC
CCL2GC
GFERGC
GSK3AGC
HMOX1GC
HSPA5GC
LDLRGC
MAPK8GC
MAPK9GC
MAZFGC
MBNL1GC
MLLT3GC
MMP9GC
NOS2GC
PDE5AGC
PLA2G7GC
PPME1GC
RAPGEF1GC
RAPGEF3GC
SHBGGC
SLC5A1GC
SLC5A2GC
SLCO2B1GC
SMAD3GC
SMPD1GC
TIM23GC
UGT1A1GC
UGT1A10GC
UGT2B15GC
ABCB11SY
ABCG5SY
ABCG8SY
ADAM10SY
ADAM17SY
ALBSY
ALPISY
ALPLSY
APOBEC3FSY
APOBEC3GSY
APOESY
ARSASY
BIRC5SY
BLMSY
CATSY
CDK1SY
CFTRSY
CHRM1SY
CISD1SY
CTDSP1SY
CTSDSY
CYCSSY
CYP2A7SY
CYP7A1SY
DHCR24SY
DNMT1SY
DRD2SY
EHMT2SY
GAASY
GLI1SY
GLI3SY
GLSSY
GPBAR1SY
GPTSY
HSD11B2SY
HSF1SY
HSP90AA1SY
HSP90AB1SY
ICAM1SY
IL8SY
KCNA5SY
KCNH2SY
KCNMA1SY
LMNB1SY
NOS3SY
NPSR1SY
NQO1SY
NR1H2SY
NR1H3SY
NR1I2SY
NR1I3SY
PIM2SY
PLCG1SY
PLCG2SY
PMP22SY
PRKAA2SY
PRKCBSY
PRKCESY
PTPRSSY
PYGMSY
RACGAP1SY
RARASY
RECQLSY
RORCSY
RPS6KA3SY
SAE1SY
SOD1SY
SP1SY
SREBF1SY
SREBF2SY
STK16SY
STK33SY
SYKSY
TLR4SY
UBA2SY
UBE2ISY
UGT1A7SY
UGT1A9SY
UGT3A1SY
XIAPSY
ABCB1GC, SY
ABCC1GC, SY
ABCG2GC, SY
ACHEGC, SY
AHRGC, SY
AKR1B1GC, SY
AKR1B10GC, SY
AKT1GC, SY
ALDH1A1GC, SY
ALOX15GC, SY
ALOX15BGC, SY
ALOX5GC, SY
AMY1AGC, SY
APEX1GC, SY
APPGC, SY
ARGC, SY
ATXN2GC, SY
BACE1GC, SY
BCHEGC, SY
CA1GC, SY
CA12GC, SY
CA2GC, SY
CA4GC, SY
CA7GC, SY
CASP3GC, SY
CDK6GC, SY
CLK1GC, SY
CYP19A1GC, SY
CYP1A1GC, SY
CYP1A2GC, SY
CYP1B1GC, SY
CYP2C19GC, SY
CYP2C9GC, SY
CYP2D6GC, SY
CYP3A4GC, SY
DAPK1GC, SY
DPP4GC, SY
DYRK1AGC, SY
EGFRGC, SY
ESR1GC, SY
ESR2GC, SY
ESRRAGC, SY
F2GC, SY
FEN1GC, SY
FLT3GC, SY
GBAGC, SY
GLO1GC, SY
GLP1RGC, SY
GMNNGC, SY
GSK3BGC, SY
HDAC9GC, SY
HIF1AGC, SY
HPGDGC, SY
HSD17B1GC, SY
HSD17B10GC, SY
HSD17B2GC, SY
IDH1GC, SY
KDM4AGC, SY
KDM4EGC, SY
LMNAGC, SY
MAPTGC, SY
MDM2GC, SY
MDM4GC, SY
MPGGC, SY
NEU2GC, SY
NFE2L2GC, SY
NFKB1GC, SY
NFKB2GC, SY
NOX4GC, SY
NR1H4GC, SY
NR3C1GC, SY
OPRD1GC, SY
OPRK1GC, SY
OPRM1GC, SY
PAFAH1B3GC, SY
PIM1GC, SY
PIP4K2AGC, SY
PNLIPGC, SY
POLBGC, SY
POLHGC, SY
POLIGC, SY
POLKGC, SY
PON1GC, SY
PPARAGC, SY
PPARDGC, SY
PPARGGC, SY
PREPGC, SY
PTGS1GC, SY
PTGS2GC, SY
PTH1RGC, SY
PTPN1GC, SY
RAPGEF4GC, SY
RELAGC, SY
RGS4GC, SY
RXRAGC, SY
SIAEGC, SY
SLCO1B1GC, SY
SLCO1B3GC, SY
SMN1GC, SY
TDP1GC, SY
TOP2AGC, SY
TP53GC, SY
TYRGC, SY
UGT1A3GC, SY
UGT1A4GC, SY
UGT1A8GC, SY
USP1GC, SY
XDHGC, SY
  73 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Antiinflammatory and analgesic activities of Thesium chinense Turcz extracts and its major flavonoids, kaempferol and kaempferol-3-O-glucoside.

Authors:  Zahida Parveen; Yulin Deng; Muhammad Khalid Saeed; Rongji Dai; Waqar Ahamad; Yu Hong Yu
Journal:  Yakugaku Zasshi       Date:  2007-08       Impact factor: 0.302

Review 3.  Reappraising metalloproteinases in rheumatoid arthritis and osteoarthritis: destruction or repair?

Authors:  Gillian Murphy; Hideaki Nagase
Journal:  Nat Clin Pract Rheumatol       Date:  2008-03

Review 4.  Network analyses in systems pharmacology.

Authors:  Seth I Berger; Ravi Iyengar
Journal:  Bioinformatics       Date:  2009-07-30       Impact factor: 6.937

5.  Clusters of biochemical markers are associated with radiographic subtypes of osteoarthritis (OA) in subject with familial OA at multiple sites. The GARP study.

Authors:  I Meulenbelt; M Kloppenburg; H M Kroon; J J Houwing-Duistermaat; P Garnero; M-P Hellio-Le Graverand; J DeGroot; P E Slagboom
Journal:  Osteoarthritis Cartilage       Date:  2006-10-17       Impact factor: 6.576

Review 6.  Vegetable flavonoids and cardiovascular disease.

Authors:  Junji Terao; Yoshichika Kawai; Kaeko Murota
Journal:  Asia Pac J Clin Nutr       Date:  2008       Impact factor: 1.662

7.  The Rho exchange factor Arhgef1 mediates the effects of angiotensin II on vascular tone and blood pressure.

Authors:  Christophe Guilluy; Jérémy Brégeon; Gilles Toumaniantz; Malvyne Rolli-Derkinderen; Kevin Retailleau; Laurent Loufrani; Daniel Henrion; Elizabeth Scalbert; Antoine Bril; Raul M Torres; Stephan Offermanns; Pierre Pacaud; Gervaise Loirand
Journal:  Nat Med       Date:  2010-01-24       Impact factor: 53.440

8.  Human Gene-Centric Databases at the Weizmann Institute of Science: GeneCards, UDB, CroW 21 and HORDE.

Authors:  Marilyn Safran; Vered Chalifa-Caspi; Orit Shmueli; Tsviya Olender; Michal Lapidot; Naomi Rosen; Michael Shmoish; Yakov Peter; Gustavo Glusman; Ester Feldmesser; Avital Adato; Inga Peter; Miriam Khen; Tal Atarot; Yoram Groner; Doron Lancet
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

9.  Effects and mechanisms of Paeoniflorin, a bioactive glucoside from paeony root, on adjuvant arthritis in rats.

Authors:  Y-Q Zheng; W Wei; L Zhu; J-X Liu
Journal:  Inflamm Res       Date:  2007-05       Impact factor: 4.575

10.  An automated method for finding molecular complexes in large protein interaction networks.

Authors:  Gary D Bader; Christopher W V Hogue
Journal:  BMC Bioinformatics       Date:  2003-01-13       Impact factor: 3.169

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1.  Network pharmacology integrated with experimental validation revealed the anti-inflammatory effects of Andrographis paniculata.

Authors:  Naiqiang Zhu; Jingyi Hou; Ning Yang
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

2.  Bioinformatic Prediction of Novel Signaling Pathways of Apoptosis-inducing Factor, Mitochondrion-associated 3 (AIFM3) and Their Roles in Metastasis of Cholangiocarcinoma Cells.

Authors:  Daraporn Chua-On; Tanakorn Proungvitaya; Anchalee Techasen; Temduang Limpaiboon; Sittiruk Roytrakul; Doungdean Tummanatsakun; Norie Araki; Siriporn Proungvitaya
Journal:  Cancer Genomics Proteomics       Date:  2022 Jan-Feb       Impact factor: 4.069

3.  An Investigation of the Molecular Mechanisms Underlying the Analgesic Effect of Jakyak-Gamcho Decoction: A Network Pharmacology Study.

Authors:  Ho-Sung Lee; In-Hee Lee; Kyungrae Kang; Sang-In Park; Tae-Wook Kwon; Dae-Yeon Lee
Journal:  Evid Based Complement Alternat Med       Date:  2020-12-01       Impact factor: 2.629

4.  Integrating Network Pharmacology and Experimental Validation to Investigate the Effects and Mechanism of Astragalus Flavonoids Against Hepatic Fibrosis.

Authors:  Lin An; Yuefang Lin; Leyan Li; Muyan Kong; Yanmei Lou; Jinjun Wu; Zhongqiu Liu
Journal:  Front Pharmacol       Date:  2021-01-22       Impact factor: 5.810

5.  Simultaneous Activation of Erk1/2 and Akt Signaling is Critical for Formononetin-Induced Promotion of Endothelial Function.

Authors:  Jinjun Wu; Muyan Kong; Yanmei Lou; Leyan Li; Chunlin Yang; Huifang Xu; Yuqi Cui; Hong Hao; Zhenguo Liu
Journal:  Front Pharmacol       Date:  2021-01-11       Impact factor: 5.810

6.  Exploring the mechanism of Yizhi Tongmai decoction in the treatment of vascular dementia through network pharmacology and molecular docking.

Authors:  Hongshuo Shi; Chengda Dong; Min Wang; Ruxue Liu; Yao Wang; Zunqi Kan; Lei Wang; Guomin Si
Journal:  Ann Transl Med       Date:  2021-01

7.  Molecular mechanism of the anti-inflammatory effects of Sophorae Flavescentis Aiton identified by network pharmacology.

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Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

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Journal:  Sci Rep       Date:  2020-07-10       Impact factor: 4.379

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