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pmid:37193965
Screening and identification of key chromatin regulator biomarkers for ankylosing spondylitis and drug prediction: evidence from bioinformatics analysis.
Han Wang · Hongbo Jin · Zhiyang Liu · Chengju Tan · Lin Wei · Mingfen Fu · Yizhuan Huang
BMC musculoskeletal disorders · 2023 doi:10.1186/s12891-023-06490-y
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Despite considerable efforts to elucidate its pathogenesis, the molecular mechanisms underlying AS are still not fully understood.\nMETHODS: To identify candidate genes involved in AS progression, the researchers downloaded the microarray dataset GSE25101 from the Gene Expression Omnibus (GEO) database. They identified differentially expressed genes (DEGs) and functionally enriched them for analysis. They also constructed a protein-protein interaction network (PPI) using STRING and performed cytoHubba modular analysis, immune cell and immune function analysis, functional analysis and drug prediction.The results showed that DEGs were mainly associated with histone modifications, chromatin organisation, transcriptional coregulator activity, transcriptional co-activator activity, histone acetyltransferase complexes and protein acetyltransferase complexes.\nRESULTS: The researchers analysed the differences in expression between the CONTROL and TREAT groups in terms of immunity to determine their effect on TNF-α secretion. By obtaining hub genes, they predicted two therapeutic agents, AY 11-7082 and myricetin.\nCONCLUSION: The DEGs, hub genes and predicted drugs identified in this study contribute to our understanding of the molecular mechanisms underlying the onset and progression of AS. 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