Identification of immune-associated genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning

Li, Junchen; Wang, Genghong; Xv, Xilin; Li, Zhigang; Shen, Yanchang; Zhang, Cheng; Zhang, Xiaofeng

doi:10.3389/fimmu.2023.1134412

Cited by 5 publications

(1 citation statement)

References 76 publications

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“…Meng 11 adopted machine learning to identify DEGs related to autophagy and apoptosis in OA. Li 12 identified immune‐related genes of OA complicated with metabolic syndrome by bioinformatics analysis. Chu 13 confirmed DEGs of central methylation in OA based on transcriptome data.…”

Section: Introductionmentioning

confidence: 99%

Identification of the shared genes in type 2 diabetes mellitus and osteoarthritis and the role of quercetin

Song,

2024

J Cellular Molecular Medi

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This study investigated the underlying comorbidity mechanism between type 2 diabetes mellitus (T2DM) and osteoarthritis (OA), while also assessing the therapeutic potential of quercetin for early intervention and treatment of these two diseases. The shared genes were obtained through GEO2R, limma and weighted gene co‐expression network analysis (WGCNA), and validated using clinical databases and the area under the curves (ROC). Functional enrichment analysis was conducted to elucidate the underlying mechanisms of comorbidity between T2DM and OA. The infiltration of immune cells was analysed using the CIBERSORT algorithm in conjunction with ESTIMATE algorithm. Subsequently, transcriptional regulation analysis, potential chemical prediction, gene‐disease association, relationships between the shared genes and ferroptosis as well as immunity‐related genes were investigated along with molecular docking. We identified the 12 shared genes (EPHA3, RASIP1, PENK, LRRC17, CEBPB, EFEMP2, UBAP1, PPP1R15A, SPEN, MAFF, GADD45B and KLF4) across the four datasets. Our predictions suggested that targeting these shared genes could potentially serve as therapeutic interventions for both T2DM and OA. Specifically, they are involved in key signalling pathways such as p53, IL‐17, NF‐kB and MAPK signalling pathways. Furthermore, the regulation of ferroptosis and immunity appears to be interconnected in both diseases. Notably, in this context quercetin emerges as a promising drug candidate for treating T2DM and OA by specifically targeting the shared genes. We conducted a bioinformatics analysis to identify potential therapeutic targets, mechanisms and drugs for T2DM and OA, thereby offering novel insights into molecular therapy for these two diseases.

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Section: Introductionmentioning

confidence: 99%

Identification of the shared genes in type 2 diabetes mellitus and osteoarthritis and the role of quercetin

Song,

2024

J Cellular Molecular Medi

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Machine Learning Methods for Identification Osteoarthritis: A Bibliometric Analysis and General Review

Muttaqin,

Yuniar Purbasari,

Priharyoto Bayuseno

et al. 2023

E3S Web Conf.

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This study describes machine learning trends in identifying osteoarthritis in different ways. To present visualizations, we performed bibliographic analysis using Vosviewer. Bibliographic data were collected via the Scopus database as of (2018-2023) and obtaining as many 46 journals. We found that one study identified osteoarthritis (OA) with reaching scores AUC > 0.95. In the last five years, United State and China having the highest rate of publication and index citation. The journal Arthritis and Rheumatology had the highest percentage of annual citations (89%) in 2018. Support vector machines (SVM) and LASSO regression were the most commonly used techniques by researchers.

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Identity of the pathogenesis, genetic and epigenetic mechanisms of osteoarthritis and rheumatoid arthritis development

Mustafin

2024

Kazan Med J

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Osteoarthritis is characterized by heterogeneity of clinical manifestations and, in some cases, a severe progressive course. In this regard, it is important to identify new molecular targets for the treatment of the disease. To determine the role of autoimmune processes, general genetic and epigenetic changes in osteoarthritis and rheumatoid arthritis, as well as to identify osteoarthritis-specific ribonucleic acids (microRNAs), potential targets for targeted therapy, information was searched using scientific platforms PubMed, Scopus, ResearchGate, RSCI over the past 10 years. Although the pathogenesis of rheumatoid arthritis and osteoarthritis differs, evidence has been obtained that identical pathological immune reactions are involved in the mechanism of osteoarthritis and disruption of the expression of 26 identical genes with identical changes in the levels of 13 of them. Changes in the expression of the same microRNAs (miR-140, miR-149, miR-25, miR-146a, miR-16, miR-23b) were detected in osteoarthritis and rheumatoid arthritis. Molecular genetic studies make it possible to find new markers of pathological immune reactions in osteoarthritis, which can be used to treat the disease and prevent its rapid progression, as well as to design targeted therapy using gene expression products as targets. MicroRNAs associated with osteoarthritis and rheumatoid arthritis and involved in the pathogenesis of both diseases may become promising targets for targeted therapy of osteoarthritis and rheumatoid arthritis.

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Identification of immune-associated genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning

Cited by 5 publications

References 76 publications

Identification of the shared genes in type 2 diabetes mellitus and osteoarthritis and the role of quercetin

Identification of the shared genes in type 2 diabetes mellitus and osteoarthritis and the role of quercetin

Machine Learning Methods for Identification Osteoarthritis: A Bibliometric Analysis and General Review

Identity of the pathogenesis, genetic and epigenetic mechanisms of osteoarthritis and rheumatoid arthritis development

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