Identification of the Biomarkers and Pathological Process of Osteoarthritis: Weighted Gene Co-expression Network Analysis
Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GS...
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Published in | Frontiers in physiology Vol. 10; p. 275 |
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Language | English |
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Abstract | Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GSE51588 was downloaded from the Gene Expression Omnibus database. Fifty subchondral bone [knee lateral tibial (LT) and medial tibial (MT)] samples from 40 OA and 10 non-OA subjects were analyzed. After data preprocessing, 5439 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 19 modules. The yellow module was found to be highly correlated with OA (
= 0.71,
= 1e-08) and the brown module was most associated with the differences between the LT and MT regions (
= 0.77,
= 1e-10). Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the yellow module was enriched in a variety of components including proteinaceous extracellular matrix and collagen trimers, involved in protein digestion and absorption, axon guidance, ECM-receptor interaction, and the PI3K-Akt signaling pathway. In addition, the brown module suggests that the differences between the early (LT) and end (MT) stage of OA are associated with extracellular processes and lipid metabolism. Finally, 45 hub genes in the yellow module (COL24A1, COL5A2, COL3A1, MMP2, COL6A1, etc.) and 72 hub genes in the brown module (LIPE, LPL, LEP, SLC2A4, FABP4, ADH1B, ALDH4A1, ADIPOQ, etc.) were identified. Hub genes were validated using samples from cartilage (GSE57218). In summary, 45 hub genes and 72 hub genes in two modules are associated with OA. These hub genes could provide new biomarkers and drug targets in OA. Further studies focusing on subchondral bone are required to validate these hub genes and better understand the pathological process of OA. |
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AbstractList | Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GSE51588 was downloaded from the Gene Expression Omnibus database. Fifty subchondral bone [knee lateral tibial (LT) and medial tibial (MT)] samples from 40 OA and 10 non-OA subjects were analyzed. After data preprocessing, 5439 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 19 modules. The yellow module was found to be highly correlated with OA (r = 0.71, p = 1e-08) and the brown module was most associated with the differences between the LT and MT regions (r = 0.77, p = 1e-10). Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the yellow module was enriched in a variety of components including proteinaceous extracellular matrix and collagen trimers, involved in protein digestion and absorption, axon guidance, ECM-receptor interaction, and the PI3K-Akt signaling pathway. In addition, the brown module suggests that the differences between the early (LT) and end (MT) stage of OA are associated with extracellular processes and lipid metabolism. Finally, 45 hub genes in the yellow module (COL24A1, COL5A2, COL3A1, MMP2, COL6A1, etc.) and 72 hub genes in the brown module (LIPE, LPL, LEP, SLC2A4, FABP4, ADH1B, ALDH4A1, ADIPOQ, etc.) were identified. Hub genes were validated using samples from cartilage (GSE57218). In summary, 45 hub genes and 72 hub genes in two modules are associated with OA. These hub genes could provide new biomarkers and drug targets in OA. Further studies focusing on subchondral bone are required to validate these hub genes and better understand the pathological process of OA. Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GSE51588 was downloaded from the Gene Expression Omnibus database. Fifty subchondral bone [knee lateral tibial (LT) and medial tibial (MT)] samples from 40 OA and 10 non-OA subjects were analyzed. After data preprocessing, 5439 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 19 modules. The yellow module was found to be highly correlated with OA ( r = 0.71, p = 1e-08) and the brown module was most associated with the differences between the LT and MT regions ( r = 0.77, p = 1e-10). Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the yellow module was enriched in a variety of components including proteinaceous extracellular matrix and collagen trimers, involved in protein digestion and absorption, axon guidance, ECM-receptor interaction, and the PI3K-Akt signaling pathway. In addition, the brown module suggests that the differences between the early (LT) and end (MT) stage of OA are associated with extracellular processes and lipid metabolism. Finally, 45 hub genes in the yellow module (COL24A1, COL5A2, COL3A1, MMP2, COL6A1, etc.) and 72 hub genes in the brown module (LIPE, LPL, LEP, SLC2A4, FABP4, ADH1B, ALDH4A1, ADIPOQ, etc.) were identified. Hub genes were validated using samples from cartilage (GSE57218). In summary, 45 hub genes and 72 hub genes in two modules are associated with OA. These hub genes could provide new biomarkers and drug targets in OA. Further studies focusing on subchondral bone are required to validate these hub genes and better understand the pathological process of OA. Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GSE51588 was downloaded from the Gene Expression Omnibus database. Fifty subchondral bone [knee lateral tibial (LT) and medial tibial (MT)] samples from 40 OA and 10 non-OA subjects were analyzed. After data preprocessing, 5439 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 19 modules. The yellow module was found to be highly correlated with OA ( = 0.71, = 1e-08) and the brown module was most associated with the differences between the LT and MT regions ( = 0.77, = 1e-10). Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the yellow module was enriched in a variety of components including proteinaceous extracellular matrix and collagen trimers, involved in protein digestion and absorption, axon guidance, ECM-receptor interaction, and the PI3K-Akt signaling pathway. In addition, the brown module suggests that the differences between the early (LT) and end (MT) stage of OA are associated with extracellular processes and lipid metabolism. Finally, 45 hub genes in the yellow module (COL24A1, COL5A2, COL3A1, MMP2, COL6A1, etc.) and 72 hub genes in the brown module (LIPE, LPL, LEP, SLC2A4, FABP4, ADH1B, ALDH4A1, ADIPOQ, etc.) were identified. Hub genes were validated using samples from cartilage (GSE57218). In summary, 45 hub genes and 72 hub genes in two modules are associated with OA. These hub genes could provide new biomarkers and drug targets in OA. Further studies focusing on subchondral bone are required to validate these hub genes and better understand the pathological process of OA. Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GSE51588 was downloaded from the Gene Expression Omnibus database. Fifty subchondral bone [knee lateral tibial (LT) and medial tibial (MT)] samples from 40 OA and 10 non-OA subjects were analyzed. After data preprocessing, 5439 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 19 modules. The yellow module was found to be highly correlated with OA (r = 0.71, p = 1e-08) and the brown module was most associated with the differences between the LT and MT regions (r = 0.77, p = 1e-10). Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the yellow module was enriched in a variety of components including proteinaceous extracellular matrix and collagen trimers, involved in protein digestion and absorption, axon guidance, ECM-receptor interaction, and the PI3K-Akt signaling pathway. In addition, the brown module suggests that the differences between the early (LT) and end (MT) stage of OA are associated with extracellular processes and lipid metabolism. Finally, 45 hub genes in the yellow module (COL24A1, COL5A2, COL3A1, MMP2, COL6A1, etc.) and 72 hub genes in the brown module (LIPE, LPL, LEP, SLC2A4, FABP4, ADH1B, ALDH4A1, ADIPOQ, etc.) were identified. Hub genes were validated using samples from cartilage (GSE57218). In summary, 45 hub genes and 72 hub genes in two modules are associated with OA. These hub genes could provide new biomarkers and drug targets in OA. Further studies focusing on subchondral bone are required to validate these hub genes and better understand the pathological process of OA.Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain. The aim of the current study was to explore biomarkers and pathological processes in subchondral bone samples. The gene expression profile GSE51588 was downloaded from the Gene Expression Omnibus database. Fifty subchondral bone [knee lateral tibial (LT) and medial tibial (MT)] samples from 40 OA and 10 non-OA subjects were analyzed. After data preprocessing, 5439 genes were obtained for weighted gene co-expression network analysis. Highly correlated genes were divided into 19 modules. The yellow module was found to be highly correlated with OA (r = 0.71, p = 1e-08) and the brown module was most associated with the differences between the LT and MT regions (r = 0.77, p = 1e-10). Gene ontology functional annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment indicated that the yellow module was enriched in a variety of components including proteinaceous extracellular matrix and collagen trimers, involved in protein digestion and absorption, axon guidance, ECM-receptor interaction, and the PI3K-Akt signaling pathway. In addition, the brown module suggests that the differences between the early (LT) and end (MT) stage of OA are associated with extracellular processes and lipid metabolism. Finally, 45 hub genes in the yellow module (COL24A1, COL5A2, COL3A1, MMP2, COL6A1, etc.) and 72 hub genes in the brown module (LIPE, LPL, LEP, SLC2A4, FABP4, ADH1B, ALDH4A1, ADIPOQ, etc.) were identified. Hub genes were validated using samples from cartilage (GSE57218). In summary, 45 hub genes and 72 hub genes in two modules are associated with OA. These hub genes could provide new biomarkers and drug targets in OA. Further studies focusing on subchondral bone are required to validate these hub genes and better understand the pathological process of OA. |
Author | Gu, Hui-Yun Yang, Min Zhang, Chao Wei, Ren-Xiong Lin, Lu-Lu Liu, Yang Guo, Jia |
AuthorAffiliation | 3 Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine , Shiyan , China 1 Department of Orthopedic, Zhongnan Hospital of Wuhan University , Wuhan , China 2 Department of Plastic Surgery, Zhongnan Hospital of Wuhan University , Wuhan , China |
AuthorAffiliation_xml | – name: 2 Department of Plastic Surgery, Zhongnan Hospital of Wuhan University , Wuhan , China – name: 1 Department of Orthopedic, Zhongnan Hospital of Wuhan University , Wuhan , China – name: 3 Center for Evidence-Based Medicine and Clinical Research, Taihe Hospital, Hubei University of Medicine , Shiyan , China |
Author_xml | – sequence: 1 givenname: Hui-Yun surname: Gu fullname: Gu, Hui-Yun – sequence: 2 givenname: Min surname: Yang fullname: Yang, Min – sequence: 3 givenname: Jia surname: Guo fullname: Guo, Jia – sequence: 4 givenname: Chao surname: Zhang fullname: Zhang, Chao – sequence: 5 givenname: Lu-Lu surname: Lin fullname: Lin, Lu-Lu – sequence: 6 givenname: Yang surname: Liu fullname: Liu, Yang – sequence: 7 givenname: Ren-Xiong surname: Wei fullname: Wei, Ren-Xiong |
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Cites_doi | 10.1080/03008200801913502 10.1155/2013/696837 10.1126/science.1087447 10.3109/1354750X.2016.1140930 10.18632/oncotarget.19733 10.1002/jbmr.138 10.1016/j.joca.2005.07.012 10.1002/jcb.27118 10.1016/j.rdc.2012.10.004 10.1007/s12032-017-1043-x 10.1038/nrrheum.2012.130 10.1177/1947603515586048 10.1038/nrrheum.2010.191 10.1186/ar4380 10.1101/gr.074914.107 10.7717/peerj.5180 10.2202/1544-6115.1128 10.1101/gr.1239303 10.1371/journal.pcbi.1000117 10.1097/NOR.0b013e31824fcd42 10.1016/S1063-4584(97)80003-9 10.1186/1755-8794-6-13 10.1136/ard.62.7.644 10.1186/1471-2105-9-559 10.7150/ijbs.5136 10.2106/JBJS.M.01209 10.1160/TH17-06-0379 10.1007/s00335-007-9043-3 10.1073/pnas.0608396103 10.1093/bioinformatics/btm563 10.1186/gb-2003-4-5-p3 10.1126/science.1073374 10.1093/nar/gku1003 10.1371/journal.pgen.0020130 10.3389/fphys.2017.00947 |
ContentType | Journal Article |
Copyright | Copyright © 2019 Gu, Yang, Guo, Zhang, Lin, Liu and Wei. 2019 Gu, Yang, Guo, Zhang, Lin, Liu and Wei |
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Keywords | pathological process hub genes WGCNA biomarkers osteoarthritis |
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References | Valdes (B31) 2011; 7 Sanchez (B27) 2005; 13 Vukusic (B33) 2013; 2013 Horvath (B13) 2008; 4 Ravasz (B25) 2002; 297 Szklarczyk (B30) 2015; 43 Vastrad (B32) 2017; 34 Chu (B7) 2014; 96 Cao (B4) 2018; 6 Horvath (B14) 2006; 103 Langfelder (B16) 2008; 9 Neogi (B23) 2013; 39 Picavet (B24) 2003; 62 Matyas (B20) 1997; 5 Murphy (B22) 2012; 31 Matsuo (B19) 2008; 49 Alunno (B1) 2017; 117 (B5) 2009; 58 Shannon (B28) 2003; 13 Burr (B3) 2012; 8 Yuan (B36) 2017; 8 Wang (B34) 2012; 8 Azuaje (B2) 2013; 6 Ryd (B26) 2015; 6 Zhang (B37) 2005; 4 Woolf (B35) 2003; 81 Mobasheri (B21) 2015; 20 Langfelder (B17) 2008; 24 Dennis (B8) 2003; 4 Chou (B6) 2013; 15 Fuller (B10) 2007; 18 Keller (B15) 2008; 18 Ghazalpour (B11) 2006; 2 Stuart (B29) 2003; 302 Farber (B9) 2010; 25 Li (B18) 2017; 8 Guo (B12) 2018; 119 |
References_xml | – volume: 49 start-page: 68 year: 2008 ident: B19 article-title: Collagen XXIV (Col24a1) gene expression is a specific marker of osteoblast differentiation and bone formation. publication-title: Connect. Tissue Res. doi: 10.1080/03008200801913502 – volume: 2013 year: 2013 ident: B33 article-title: High density sphere culture of adult cardiac cells increases the levels of cardiac and progenitor markers and shows signs of vasculogenesis. publication-title: Biomed Res. Int. doi: 10.1155/2013/696837 – volume: 302 start-page: 249 year: 2003 ident: B29 article-title: A gene-coexpression network for global discovery of conserved genetic modules. publication-title: Science doi: 10.1126/science.1087447 – volume: 58 start-page: 421 year: 2009 ident: B5 article-title: Prevalence and most common causes of disability among adults–United States, 2005. publication-title: MMWR Morb. Mortal. Wkly. Rep. – volume: 20 start-page: 513 year: 2015 ident: B21 article-title: Biomarkers of (osteo)arthritis. publication-title: Biomarkers doi: 10.3109/1354750X.2016.1140930 – volume: 8 start-page: 70508 year: 2017 ident: B36 article-title: Overexpression of COL3A1 confers a poor prognosis in human bladder cancer identified by co-expression analysis. publication-title: Oncotarget doi: 10.18632/oncotarget.19733 – volume: 25 start-page: 2359 year: 2010 ident: B9 article-title: Identification of a gene module associated with BMD through the integration of network analysis and genome-wide association data. publication-title: J. Bone Miner. Res. doi: 10.1002/jbmr.138 – volume: 13 start-page: 988 year: 2005 ident: B27 article-title: Subchondral bone osteoblasts induce phenotypic changes in human osteoarthritic chondrocytes. publication-title: Osteoarthr. Cartilage doi: 10.1016/j.joca.2005.07.012 – volume: 119 start-page: 7687 year: 2018 ident: B12 article-title: Identification of gene expression profiles and key genes in subchondral bone of osteoarthritis using weighted gene coexpression network analysis. publication-title: J. Cell. Biochem. doi: 10.1002/jcb.27118 – volume: 39 start-page: 1 year: 2013 ident: B23 article-title: Epidemiology of osteoarthritis. publication-title: Rheum. Dis. Clin. North Am. doi: 10.1016/j.rdc.2012.10.004 – volume: 34 year: 2017 ident: B32 article-title: Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data. publication-title: Med. Oncol. doi: 10.1007/s12032-017-1043-x – volume: 81 start-page: 646 year: 2003 ident: B35 article-title: Burden of major musculoskeletal conditions. publication-title: Bull. World Health Organ. – volume: 8 start-page: 665 year: 2012 ident: B3 article-title: Bone remodelling in osteoarthritis. publication-title: Nat. Rev. Rheumatol. doi: 10.1038/nrrheum.2012.130 – volume: 6 start-page: 156 year: 2015 ident: B26 article-title: Pre-osteoarthritis: definition and diagnosis of an elusive clinical entity. publication-title: Cartilage doi: 10.1177/1947603515586048 – volume: 7 start-page: 23 year: 2011 ident: B31 article-title: Genetic epidemiology of hip and knee osteoarthritis. publication-title: Nat. Rev. Rheumatol. doi: 10.1038/nrrheum.2010.191 – volume: 15 year: 2013 ident: B6 article-title: Genome-wide expression profiles of subchondral bone in osteoarthritis. publication-title: Arthritis Res. Ther. doi: 10.1186/ar4380 – volume: 18 start-page: 706 year: 2008 ident: B15 article-title: A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility. publication-title: Genome Res. doi: 10.1101/gr.074914.107 – volume: 6 year: 2018 ident: B4 article-title: Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis. publication-title: PeerJ doi: 10.7717/peerj.5180 – volume: 4 year: 2005 ident: B37 article-title: A general framework for weighted gene co-expression network analysis. publication-title: Stat. Appl. Genet. Mol. Biol. doi: 10.2202/1544-6115.1128 – volume: 13 start-page: 2498 year: 2003 ident: B28 article-title: Cytoscape: a software environment for integrated models of biomolecular interaction networks. publication-title: Genome Res. doi: 10.1101/gr.1239303 – volume: 4 year: 2008 ident: B13 article-title: Geometric interpretation of gene coexpression network analysis. publication-title: PLoS Comput. Biol. doi: 10.1371/journal.pcbi.1000117 – volume: 31 start-page: 85 year: 2012 ident: B22 article-title: The impact of osteoarthritis in the United States: a population-health perspective: a population-based review of the fourth most common cause of hospitalization in U.S. adults. publication-title: Orthopedic Nurs. doi: 10.1097/NOR.0b013e31824fcd42 – volume: 5 start-page: 99 year: 1997 ident: B20 article-title: Gene expression of type II collagens in chondro-osteophytes in experimental osteoarthritis. publication-title: Osteoarthr. Cartil. doi: 10.1016/S1063-4584(97)80003-9 – volume: 6 year: 2013 ident: B2 article-title: Analysis of a gene co-expression network establishes robust association between Col5a2 and ischemic heart disease. publication-title: BMC Med. Genom. doi: 10.1186/1755-8794-6-13 – volume: 62 start-page: 644 year: 2003 ident: B24 article-title: Prevalence of self reported musculoskeletal diseases is high. publication-title: Ann. Rheum. Dis. doi: 10.1136/ard.62.7.644 – volume: 9 year: 2008 ident: B16 article-title: WGCNA: an R package for weighted correlation network analysis. publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-9-559 – volume: 8 start-page: 1310 year: 2012 ident: B34 article-title: Collagen XXIV (Col24alpha1) promotes osteoblastic differentiation and mineralization through TGF-beta/Smads signaling pathway. publication-title: Int. J. Biol. Sci. doi: 10.7150/ijbs.5136 – volume: 96 year: 2014 ident: B7 article-title: Osteoarthritis: from palliation to prevention: aoa critical issues. publication-title: J. Bone Joint Surg. Am. doi: 10.2106/JBJS.M.01209 – volume: 117 start-page: 2116 year: 2017 ident: B1 article-title: Platelets contribute to the accumulation of matrix metalloproteinase type 2 in synovial fluid in osteoarthritis. publication-title: Thrombosis Haemostasis doi: 10.1160/TH17-06-0379 – volume: 18 start-page: 463 year: 2007 ident: B10 article-title: Weighted gene coexpression network analysis strategies applied to mouse weight. publication-title: Mamm. Genome doi: 10.1007/s00335-007-9043-3 – volume: 103 start-page: 17402 year: 2006 ident: B14 article-title: Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target. publication-title: Proc. Natl. Acad. Sci. U.S.A. doi: 10.1073/pnas.0608396103 – volume: 24 start-page: 719 year: 2008 ident: B17 article-title: Defining clusters from a hierarchical cluster tree: the dynamic tree cut package for R. publication-title: Bioinformatics doi: 10.1093/bioinformatics/btm563 – volume: 4 year: 2003 ident: B8 article-title: DAVID: database for annotation, visualization, and integrated discovery. publication-title: Genome Biol. doi: 10.1186/gb-2003-4-5-p3 – volume: 297 start-page: 1551 year: 2002 ident: B25 article-title: Hierarchical organization of modularity in metabolic networks. publication-title: Science doi: 10.1126/science.1073374 – volume: 43 start-page: D447 year: 2015 ident: B30 article-title: STRING v10: protein-protein interaction networks, integrated over the tree of life. publication-title: Nucleic Acids Res. doi: 10.1093/nar/gku1003 – volume: 2 year: 2006 ident: B11 article-title: Integrating genetic and network analysis to characterize genes related to mouse weight. publication-title: PLoS Genetics doi: 10.1371/journal.pgen.0020130 – volume: 8 year: 2017 ident: B18 article-title: Identification of biomarkers correlated with the TNM Staging and overall survival of patients with bladder cancer. publication-title: Front. Physiol. doi: 10.3389/fphys.2017.00947 |
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Snippet | Osteoarthritis (OA) is a joint disease resulting in high rates of disability and low quality of life. The initial site of OA (bone or cartilage) is uncertain.... |
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SubjectTerms | biomarkers hub genes osteoarthritis pathological process Physiology WGCNA |
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Title | Identification of the Biomarkers and Pathological Process of Osteoarthritis: Weighted Gene Co-expression Network Analysis |
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