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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

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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title
Screening and identification of key chromatin regulator biomarkers for ankylosing spondylitis and drug prediction: evidence from bioinformatics analysis.
doi
10.1186/s12891-023-06490-y
pmid
37193965
authors array · 7 items
[0]
Han Wang
[1]
Hongbo Jin
[2]
Zhiyang Liu
[3]
Chengju Tan
[4]
Lin Wei
[5]
Mingfen Fu
[6]
Yizhuan Huang
journal
BMC musculoskeletal disorders
year
2023
abstract
BACKGROUND: Ankylosing spondylitis (AS) is one of the most common immune-mediated arthritic diseases worldwide. Despite considerable efforts to elucidate its pathogenesis, the molecular mechanisms underlying AS are still not fully understood. METHODS: 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. RESULTS: 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. CONCLUSION: 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. They also provide candidate targets for the diagnosis and treatment of AS.
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To analyze the differentially expressed genes of chromatin regulatory factors between the AS and control groups, we utilized the ‘limma’ package to conduct a comprehensive analysis of the two cohorts.
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To analyze the differentially expressed genes of chromatin regulatory factors between the AS and control groups, we utilized the ‘limma’ package to conduct a comprehensive analysis of the two cohorts.
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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.
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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.
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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.
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Expression profiling in whole blood in ankylosing spondylitis patients and controls
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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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