Identification of key biomarkers and immune infiltration in the synovial tissue of osteoarthritis by bioinformatics analysis

• Published in: PeerJ (San Francisco, CA) Vol. 8; p. e8390
• Main Authors: Cai, Weisong, Li, Haohuan, Zhang, Yubiao, Han, Guangtao
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 17.01.2020; PeerJ, Inc; PeerJ Inc
• Subjects: Algorithms; Antigens; Arthritis; B cells; Biochemistry; Bioinformatics; Bioinformatics analysis; Biological markers; Biomarkers; Bone growth; Cartilage diseases; CD4 antigen; Cell Biology; Chemotaxis; Computational biology; Cytokines; Degeneration; Dendritic cells; Gene expression; Genes; Genetics; Hyperplasia; Immune infiltration; Immunological memory; Immunoregulation; Interdisciplinary subjects; Interleukin 17; Joint diseases; Killer cells; Leukocytes (eosinophilic); Lymphocytes; Lymphocytes B; Lymphocytes T; Mast cells; Memory cells; Molecular Biology; Molecular modelling; Ontology; Orthopedics; Osteoarthritis; Polymerase chain reaction; Principal components analysis; Protein interaction; Protein-protein interactions; Rheumatoid arthritis; Rheumatoid factor; Signal transduction; Software; Stenosis; Synovial; Synovitis; T cells; Bioinformatics analysis; Synovial; Osteoarthritis; Immune infiltration

Osteoarthritis (OA) is the most common chronic degenerative joint disease and is mainly characterized by cartilage degeneration, subcartilage bone hyperplasia, osteophyte formation and joint space stenosis. Recent studies showed that synovitis might also be an important pathological change of OA. Ho...