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Screening for differentially expressed circular RNAs in the cartilage of osteoarthritis patients for their diagnostic value
Department of Orthopedics, the First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, People's Republic of China.
School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, People's Republic of China.
School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, People's Republic of China.
School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, People's Republic of China.
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2019 (English)In: Genetic Testing and Molecular Biomarkers, ISSN 1945-0265, E-ISSN 1945-0257, Vol. 23, no 10, p. 706-716, article id 31502887Article in journal (Refereed) Published
Abstract [en]

Background: Osteoarthritis (OA) is the most prevailing osteoarticular disease, which typically involves chronic cartilage degeneration and synovitis. The latest research shows that circular RNAs (circRNAs) play a role in the development of a variety of diseases, including osteoarthrosis.

Purposes: The aim of this study was to explore the expression of circRNAs in OA chondrocytes and predict biomarkers for diagnosis.

Materials and Methods: The circRNA expression profile was analyzed through use of the Gene Spring software V13.0; differentially expressed circRNAs were screened over a process of OA. We validated the microarray data by quantitative real-time polymerase chain reaction analyses of OA chondrocytes and chondrocytes from normal controls. TargetScan software and miRanda software were used to predict network analysis of circRNA-miRNA interactions in cartilages. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) analyses were applied to predict the functions of differentially expressed circRNAs.

Results: Overall 1380 circRNAs were differentially expressed in OA chondrocytes in contrast to the normal articular cartilages (fold-change ≥2, p ≤ 0.05), consisting of 215 upregulated and 1165 downregulated circRNAs. After analyzing the differentially expressed circRNA genes, the top 20 enriched GO entries and the KEGG pathways were annotated. Furthermore, hsa_circrna_0032131 was identified for further analysis. The circRNA-miRNA network was constructed to represent the 10 most likely target genes associated with the validated circRNA.

Conclusions: Our research suggests that some of the differentially expressed circRNAs in OA chondrocytes compared to normal chondrocytes are etiologically associated with the pathological process of OA. It was found that hsa_circRNA_0032131 likely participates in the initiation and progression of OA and has potential as a diagnostic marker.

Clinical Relevance: To analyze the difference of circRNA expression profiles between OA and normal controls and explore biomarkers for diagnosis.

Place, publisher, year, edition, pages
Mary Ann Liebert, 2019. Vol. 23, no 10, p. 706-716, article id 31502887
Keywords [en]
circRNAs, expression profile, functional analysis, osteoarthritis
National Category
Cell and Molecular Biology Orthopaedics Rheumatology and Autoimmunity Biomedical Laboratory Science/Technology
Research subject
Molecular Biology; Clinical Chemistry; Orthopaedics; rheumatology; Medical Biochemistry
Identifiers
URN: urn:nbn:se:umu:diva-163635DOI: 10.1089/gtmb.2019.0108PubMedID: 31502887OAI: oai:DiVA.org:umu-163635DiVA, id: diva2:1356147
Available from: 2019-10-01 Created: 2019-10-01 Last updated: 2019-10-22

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Lammi, Mikko

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Cell and Molecular BiologyOrthopaedicsRheumatology and AutoimmunityBiomedical Laboratory Science/Technology

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