Serum microRNA array analysis identifies miR-140-3p, miR-33b-3p and miR-671-3p as potential osteoarthritis biomarkers involved in metabolic processes
Autor: | Konstantinos N. Malizos, Lydia Anastasopoulou, Maria Braoudaki, George I. Lambrou, Myrto Poulou, Aspasia Tsezou, Maria Tzetis, Nikolaos Stefanou, Eleni Ntoumou |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
0301 basic medicine
Genetic Markers Male lcsh:QH426-470 In silico Hsa-miR-140-3p lcsh:Medicine Down-Regulation Biology Sensitivity and Specificity 03 medical and health sciences Hsa-miR- 671-3p microRNA Osteoarthritis Genetics Humans Gene Regulatory Networks Hsa-miR-33b-3p Molecular Biology Genetics (clinical) PI3K/AKT/mTOR pathway miR-array Aged Oligonucleotide Array Sequence Analysis Regulation of gene expression Research Gene Expression Profiling lcsh:R Wnt signaling pathway Computational Biology Biomarker Middle Aged Human genetics Gene expression profiling Gene Expression Regulation Neoplastic lcsh:Genetics MicroRNAs 030104 developmental biology Cancer research Biomarker (medicine) Female Metabolic Circulating miRNAs Developmental Biology |
Zdroj: | Clinical Epigenetics Clinical Epigenetics, Vol 9, Iss 1, Pp 1-15 (2017) |
ISSN: | 1868-7083 1868-7075 |
Popis: | Background MicroRNAs (miRNAs) in circulation have emerged as promising biomarkers. In this study, we aimed to identify a circulating miRNA signature for osteoarthritis (OA) patients and in combination with bioinformatics analysis to evaluate the utility of selected differentially expressed miRNAs in the serum as potential OA biomarkers. Methods Serum samples were collected from 12 primary OA patients, and 12 healthy individuals were screened using the Agilent Human miRNA Microarray platform interrogating 2549 miRNAs. Receiver Operating Characteristic (ROC) curves were constructed to evaluate the diagnostic performance of the deregulated miRNAs. Expression levels of selected miRNAs were validated by quantitative real-time PCR (qRT-PCR) in all serum and in articular cartilage samples from OA patients (n = 12) and healthy individuals (n = 7). Bioinformatics analysis was used to investigate the involved pathways and target genes for the above miRNAs. Results We identified 279 differentially expressed miRNAs in the serum of OA patients compared to controls. Two hundred and five miRNAs (73.5%) were upregulated and 74 (26.5%) downregulated. ROC analysis revealed that 77 miRNAs had area under the curve (AUC) > 0.8 and p |
Databáze: | OpenAIRE |
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