Identification of four-gene signature to diagnose osteoarthritis through bioinformatics and machine learning methods

Z Chen, W Wang, Y Zhang, Y Hua - Cytokine, 2023 - Elsevier
Background Although osteoarthritis (OA) is one of the most prevalent joint disorders,
effective biomarkers to diagnose OA are still unavailable. This study aimed to acquire some …

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

W Cai, H Li, Y Zhang, G Han - PeerJ, 2020 - peerj.com
Background Osteoarthritis (OA) is the most common chronic degenerative joint disease and
is mainly characterized by cartilage degeneration, subcartilage bone hyperplasia …

Identification and validation of hub genes of synovial tissue for patients with osteoarthritis and rheumatoid arthritis

Y Ge, Z Chen, Y Fu, X Xiao, H Xu, L Shan, P Tong… - Hereditas, 2021 - Springer
Background Osteoarthritis (OA) and rheumatoid arthritis (RA) were two major joint diseases
with similar clinical phenotypes. This study aimed to determine the mechanistic similarities …

Integration of gene expression profile data to screen and verify hub genes involved in osteoarthritis

Z Li, Q Wang, G Chen, X Li, Q Yang… - BioMed Research …, 2018 - Wiley Online Library
Osteoarthritis (OA) is one of the most common diseases worldwide, but the pathogenic
genes and pathways are largely unclear. The aim of this study was to screen and verify hub …

Identification of tissue-specific expressed hub genes and potential drugs in rheumatoid arthritis using bioinformatics analysis

X Xing, Q Xia, B Gong, Z Shen, Y Zhang - Frontiers in Genetics, 2022 - frontiersin.org
Background: Rheumatoid arthritis (RA) is a common autoimmune disease characterized by
progressive, destructive polyarthritis. However, the cause and underlying molecular events …

Identifying the hub genes and immune cell infiltration in synovial tissue between osteoarthritic and rheumatoid arthritic patients by bioinformatic approach

J Wang, Q Fan, T Yu, Y Zhang - Current Pharmaceutical …, 2022 - ingentaconnect.com
Background: Osteoarthritis (OA) and rheumatoid arthritis (RA) are two common diseases that
result in limb disability and a decrease in quality of life. The major symptoms of OA and RA …

Bioinformatics-led discovery of osteoarthritis biomarkers and inflammatory infiltrates

X Hu, S Ni, K Zhao, J Qian, Y Duan - Frontiers in immunology, 2022 - frontiersin.org
The molecular mechanisms of osteoarthritis, the most common chronic disease, remain
unexplained. This study aimed to use bioinformatic methods to identify the key biomarkers …

Identification of osteoarthritis-characteristic genes and immunological micro-environment features through bioinformatics and machine learning-based approaches

Z Da, R Guo, J Sun, A Wang - BMC Medical Genomics, 2023 - Springer
Background Osteoarthritis (OA) is a multifaceted chronic joint disease characterized by
complex mechanisms. It has a detrimental impact on the quality of life for individuals in the …

Identification of diagnostic biomarkers of osteoarthritis based on multi-chip integrated analysis and machine learning

Y Zhang, Y Yang, C Wang, S Wan, Z Yao… - DNA and Cell …, 2020 - liebertpub.com
The pathogenesis of osteoarthritis (OA) is still unclear. It is therefore important to identify
relevant diagnostic marker genes for OA. We performed an integrated analysis with multiple …

Global transcriptome analysis to identify critical genes involved in the pathology of osteoarthritis

X Zhang, Y Bu, B Zhu, Q Zhao, Z Lv, B Li… - Bone & Joint …, 2018 - boneandjoint.org.uk
Objectives The aim of this study was to identify key pathological genes in osteoarthritis (OA).
Methods We searched and downloaded mRNA expression data from the Gene Expression …