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Oveisee, Maziar, Gholipour, Akram, Malakootian, Mahshid. (1403). Comparison of inflammatory molecular mechanisms between osteoarthritis and rheumatoid arthritis via gene microarrays. , 13(4), 211-222. doi: 10.22099/mbrc.2024.49924.1963
Maziar Oveisee; Akram Gholipour; Mahshid Malakootian. "Comparison of inflammatory molecular mechanisms between osteoarthritis and rheumatoid arthritis via gene microarrays". , 13, 4, 1403, 211-222. doi: 10.22099/mbrc.2024.49924.1963
Oveisee, Maziar, Gholipour, Akram, Malakootian, Mahshid. (1403). 'Comparison of inflammatory molecular mechanisms between osteoarthritis and rheumatoid arthritis via gene microarrays', , 13(4), pp. 211-222. doi: 10.22099/mbrc.2024.49924.1963
Oveisee, Maziar, Gholipour, Akram, Malakootian, Mahshid. Comparison of inflammatory molecular mechanisms between osteoarthritis and rheumatoid arthritis via gene microarrays. , 1403; 13(4): 211-222. doi: 10.22099/mbrc.2024.49924.1963

Comparison of inflammatory molecular mechanisms between osteoarthritis and rheumatoid arthritis via gene microarrays

Molecular Biology Research Communications
دوره 13، شماره 4، 2024، صفحه 211-222    اصل مقاله (524.99 K)
نوع مقاله: Original article
شناسه دیجیتال (DOI): 10.22099/mbrc.2024.49924.1963
نویسندگان
Maziar Oveisee1؛ Akram Gholipour2؛ Mahshid Malakootian* 2
1Orthopedic Department, Bam University of Medical Sciences, Bam, Iran
2Cardiogenetic Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
چکیده
Osteoarthritis (OA) and rheumatoid arthritis (RA) treatment requires exact arthritis type diagnosis. We compared inflammatory molecular mechanisms between OA and RA to introduce reliable molecular biomarkers. The GSE55235 and GSE100786 microarray datasets were acquired from the GEO. Data preprocessing and differential expression analysis were conducted in OA and RA groups and their control groups applying GEO2R. Differentially expressed genes (DEGs) with a |LogFC|>1 and adj. p<0.05 were determined. Gene ontology (GO) and signaling pathway analysis were done utilizing PANTHER and Enrichr. The suitability of gene expression alterations as biomarkers was tested using the receiver operating characteristic (ROC) curve analysis. We found 2129 DEGs between the OA and control groups and 2494 DEGs between the RA and control groups. GO on the DEGs showed enrichment in binding, cellular processes, and cellular anatomical entities in molecular functions, biological processes, and cellular components, respectively. Enrichr found the cell differentiation pathways of Th1 and Th2 only in RA. The ROC curve analysis indicated HLA-DQA1 downregulation and MAPK8IP3 upregulation as reliable biomarkers to discriminate RA from OA in peripheral blood and bone marrow samples, respectively. We found more DEGs in patients with OA than those with RA and determined inflammatory pathways and genes unique to RA as reliable biomarkers to discriminate RA from OA. Gene expression alterations associated with Th1 and Th2 cell differentiation pathways, including HLA-DQA1 downregulation and MAPK8IP3 upregulation, could be novel molecular biomarkers to diagnose RA.
کلیدواژه‌ها
Rheumatoid arthritis؛ Osteoarthritis؛ Differentially expressed genes؛ Functional analysis؛ Inflammatory signaling pathway
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