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pmid:36561297

Analysis of co-expression gene network associated with intracranial aneurysm and type 2 diabetes mellitus.

Tian Tian · Wenhao Sun · Jia Du · Yafei Sun

Frontiers in neurology · 2022 doi:10.3389/fneur.2022.1032038

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:36561297
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2026-11-01T19:01:06Z
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paper object · 10 fields
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title
Analysis of co-expression gene network associated with intracranial aneurysm and type 2 diabetes mellitus.
doi
10.3389/fneur.2022.1032038
pmid
36561297
authors array · 4 items
[0]
Tian Tian
[1]
Wenhao Sun
[2]
Jia Du
[3]
Yafei Sun
journal
Frontiers in neurology
year
2022
abstract
To screen for common target genes in intracranial aneurysms (IA) and type 2 diabetes mellitus (T2DM), construct a common transcriptional regulatory network to predict clusters of candidate genes involved in the pathogenesis of T2DM and IA, and identify the common neurovascular markers and pathways in T2DM causing IA. Microarray datasets (GSE55650, GSE25462, GSE26969, GSE75436, and GSE13353) from the GEO database were analyzed in this research. Screening of the IA and the T2DM datasets yielded a total of 126 DEGs, among which 78 were upregulated and 138 were downregulated. Functional enrichment analysis revealed that these DEGs were enriched for a total of 68 GO pathways, including extracellular matrix composition, coagulation regulation, hemostasis regulation, and collagen fiber composition pathways. We also constructed transcriptional regulatory networks, and identified key transcription factors involved in both the conditions. Univariate logistic regression analysis showed that ARNTL2 and STAT1 were significantly associated with the development of T2DM and IA, acting as the common neurovascular markers for both the diseases. In cellular experiments, hyperglycemic microenvironments exhibited upregulated STAT1 expression. STAT1 may be involved in the pathogenesis of IA in T2DM patients. Being the common neurovascular markers, STAT1 may acts as novel therapeutic targets for the treatment of IA and T2DM.
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We further explored the potential clinical diagnostic value of these seven TFs (STAT1, RELA, NFKB1, SP1, STAT3, SP3, and TP53) by plotting their ROC curves based on univariate logistic regression in the diagnosis of the two diseases (Figures 3D–J).
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sections[15] "Construction of target genes-related transcriptional regulatory networks and identification of key TFs" paragraph 2
quote
We further explored the potential clinical diagnostic value of these seven TFs (STAT1, RELA, NFKB1, SP1, STAT3, SP3, and TP53) by plotting their ROC curves based on univariate logistic regression in the diagnosis of the two diseases (Figures 3D–J).
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The results showed that the AUC values of STAT1 in both diseases were >0.8 indicating that it was significantly associated with the occurrence of both the diseases.
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sections[15] "Construction of target genes-related transcriptional regulatory networks and identification of key TFs" paragraph 2
quote
The results showed that the AUC values of STAT1 in both diseases were >0.8 indicating that it was significantly associated with the occurrence of both the diseases.
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The results showed that the AUC values of STAT1 in both diseases were >0.8 indicating that it was significantly associated with the occurrence of both the diseases.
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Increased SRF Transcriptional Activity is a Novel Signature of Insulin Resistance in Humans and Mice
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570
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p38 MAPK activation upregulates pro-inflammatory pathways in skeletal muscle cells from insulin resistant type 2 diabetic patients
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Expression data of Intracranial aneurysm
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We further explored the potential clinical diagnostic value of these seven TFs (STAT1, RELA, NFKB1, SP1, STAT3, SP3, and TP53) by plotting their ROC curves based on univariate logistic regression in the diagnosis of the two diseases (Figures 3D–J).
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endothelial cell line (ECV-304). Cells were cultured in RPMI1640 medium containing 10% FBS at 37°C i
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t 37°C in a 5% CO2 incubator. The cells were cultured in groups and given different concentrations of
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We further explored the potential clinical diagnostic value of these seven TFs (STAT1, RELA, NFKB1, SP1, STAT3, SP3, and TP53) by plotting their ROC curves based on univariate logistic regression in the diagnosis of the two diseases (Figures 3D–J).
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Microarray datasets (GSE55650, GSE25462, GSE26969, GSE75436, and GSE13353) from the GEO database were analyzed in this research. Screening of the IA and the T2DM datasets yielded a total of 126 DEGs, among which 78 were upregulated and 138 were downregulated. Functional enrichment analysis revealed that these DEGs were enriched for a total of 68 GO pathways, including extracellular matrix composition, coagulation regulation, hemostasis regulation, and collagen fiber composition pathways. We also constructed transcriptional regulatory networks, and identified key transcription factors involved in both the conditions. Univariate logistic regression analysis showed that ARNTL2 and STAT1 were significantly associated with the development of T2DM and IA, acting as the common neurovascular markers for both the diseases. In cellular experiments, hyperglycemic microenvironments exhibited upregulated STAT1 expression. STAT1 may be involved in the pathogenesis of IA in T2DM patients. 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