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pmid:37935955

Exploring the molecular mechanism underlying the psoriasis and T2D by using microarray data analysis.

Li Yang · Lei Zhang · Qingfang Du · Xiaoyu Gong · Jun Tian

Scientific reports · 2023 doi:10.1038/s41598-023-46795-5

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:37935955
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2026-11-01T19:02:49Z
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paper object · 10 fields
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title
Exploring the molecular mechanism underlying the psoriasis and T2D by using microarray data analysis.
doi
10.1038/s41598-023-46795-5
pmid
37935955
authors array · 5 items
[0]
Li Yang
[1]
Lei Zhang
[2]
Qingfang Du
[3]
Xiaoyu Gong
[4]
Jun Tian
journal
Scientific reports
year
2023
abstract
Although a large number of evidence has identified that psoriasis is significantly correlated with type 2 diabetes (T2D), the common molecular mechanism of its occurrence remains unclear. Our study aims to further elucidate the mechanism of the occurrence of this complication. We obtained the gene expression data of psoriasis (GSE30999) and T2D (GSE28829) from the Gene Expression Omnibus (GEO) dataset. Then the common differentially expressed genes (DEGs) of T2D and psoriasis were identified. After that, we performed three types of analyses about these DEGs, including functional enrichment analysis, protein-protein interaction (PPI) network and module manufacture, hub genes identification and co-expression analysis. 132 common DEGs (14 upregulated genes and 118 downregulated genes) were identified for subsequent a series of analyses. Function enrichment analysis demonstrated that Rap1 signaling pathway, PI3K-Akt signaling pathway, and cGMP-PKG signaling pathway may play a significant role in pathogenesis of psoriasis and T2D. Finally, 3 important hub genes were selected by utilizing cytoHubba, including SNRPN, GNAS, IGF2. Our work reveals the potential common signaling pathways of psoriasis and T2D. These Hub genes and common signaling pathways provide insights for further investigation of molecular mechanism about psoriasis and T2D.
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GEO2R is a powerful online tool designed for gene expression analysis. This tool utilizes GEOquery and Limma R packages12.
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The study identified 132 common differentially expressed genes between psoriasis and type 2 diabetes datasets, comprising 14 upregulated and 118 downregulated genes.
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132 common DEGs (14 upregulated genes and 118 downregulated genes) were identified for subsequent a series of analyses.
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sections[12] "Identification of DEGs" paragraph 2
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Subsequently, 132 DEGs were obtained after excluding genes which had adverse expression trends in GSE25724 and GSE30999, containing 14 upregulated genes and 118 downregulated genes.
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The study identified 132 common differentially expressed genes between psoriasis and type 2 diabetes datasets, comprising 14 upregulated and 118 downregulated genes.
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sm underlying the psoriasis and T2D by using microarray data analysis.
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Complete file
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Our study aims to further elucidate the mechanism of the occurrence of this complication. We obtained the gene expression data of psoriasis (GSE30999) and T2D (GSE28829) from the Gene Expression Omnibus (GEO) dataset. Then the common differentially expressed genes (DEGs) of T2D and psoriasis were identified. After that, we performed three types of analyses about these DEGs, including functional enrichment analysis, protein-protein interaction (PPI) network and module manufacture, hub genes identification and co-expression analysis. 132 common DEGs (14 upregulated genes and 118 downregulated genes) were identified for subsequent a series of analyses. Function enrichment analysis demonstrated that Rap1 signaling pathway, PI3K-Akt signaling pathway, and cGMP-PKG signaling pathway may play a significant role in pathogenesis of psoriasis and T2D. Finally, 3 important hub genes were selected by utilizing cytoHubba, including SNRPN, GNAS, IGF2. Our work reveals the potential common signaling pathways of psoriasis and T2D. These Hub genes and common signaling pathways provide insights for further investigation of molecular mechanism about psoriasis and T2D.", "claims": [{"id": "claim-method", "statement": "GEO2R is a powerful online tool designed for gene expression analysis. This tool utilizes GEOquery and Limma R packages12.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37935955", "locator": "sections[4] \"Identification of DEGs\" paragraph 2", "quote": "GEO2R is a powerful online tool designed for gene expression analysis. 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