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pmid:34513999

Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development.

Long Qian · Zhipeng Xia · Ming Zhang · Qiong Han · Die Hu · Sha Qi · Danmou Xing · Yan Chen · Xin Zhao

Journal of diabetes research · 2021 doi:10.1155/2021/5445349

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

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:34513999
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science-record
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title
Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development.
doi
10.1155/2021/5445349
pmid
34513999
authors array · 9 items
[0]
Long Qian
[1]
Zhipeng Xia
[2]
Ming Zhang
[3]
Qiong Han
[4]
Die Hu
[5]
Sha Qi
[6]
Danmou Xing
[7]
Yan Chen
[8]
Xin Zhao
journal
Journal of diabetes research
year
2021
abstract
The present study was designed to detect possible biomarkers associated with diabetic foot ulcer (DFU) incidence in an effort to develop novel treatments for this condition. The GSE7014 and GSE29221 gene expression datasets were downloaded from the Gene Expression Omnibus (GEO) database, after which differentially expressed genes (DEGs) were identified between DFU and healthy samples. These DEGs were then arranged into a protein-protein interaction (PPI) network, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) term enrichment analyses were performed to explore the functional roles of these genes. In total, 1192 DEGs were identified in the GSE7014 dataset (900 upregulated, 292 downregulated), while 1177 were identified in the GSE29221 dataset (257 upregulated, 919 downregulated). GO analyses revealed these DEGs to be significantly enriched in biological processes including sarcomere organization, muscle filament sliding, and the regulation of cardiac conduction, molecular functions including structural constituent of muscle, protein binding, and calcium ion binding, and cellular components including Z disc, myosin filament, and M band. These DEGs were also enriched in the adrenergic signaling in cardiomyoctes, dilated cardiomyopathy, and tight junction KEGG pathways. Together, the findings of these bioinformatics analyses thus identified key hub genes associated with DFU development.
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Genes that were differentially expressed in DFU samples were identified using the default settings of the GEO2R tool (https://www.ncbi.nlm.nih.gov/geo/geo2r/), with DEGs being those genes with a P < 0.05 and a ∣logFC | >1.
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sections[4] "2.2. DEG Identification" paragraph 2
quote
Genes that were differentially expressed in DFU samples were identified using the default settings of the GEO2R tool (https://www.ncbi.nlm.nih.gov/geo/geo2r/), with DEGs being those genes with a P < 0.05 and a ∣logFC | >1.
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The data used to support the findings of this study are available from the corresponding author upon request.
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Functional and pathway enrichment analyses for module genes. The top 3 terms were selected based upon p value rankings when >3 terms were enriched for a given category.
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Degree of top 10 genes in top module.
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Genes that were differentially expressed in DFU samples were identified using the default settings of the GEO2R tool (https://www.ncbi.nlm.nih.gov/geo/geo2r/), with DEGs being those genes with a P < 0.05 and a ∣logFC | >1.
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The GSE7014 and GSE29221 gene expression datasets were downloaded from the Gene Expression Omnibus (GEO) database, after which differentially expressed genes (DEGs) were identified between DFU and healthy samples. These DEGs were then arranged into a protein-protein interaction (PPI) network, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) term enrichment analyses were performed to explore the functional roles of these genes. In total, 1192 DEGs were identified in the GSE7014 dataset (900 upregulated, 292 downregulated), while 1177 were identified in the GSE29221 dataset (257 upregulated, 919 downregulated). GO analyses revealed these DEGs to be significantly enriched in biological processes including sarcomere organization, muscle filament sliding, and the regulation of cardiac conduction, molecular functions including structural constituent of muscle, protein binding, and calcium ion binding, and cellular components including Z disc, myosin filament, and M band. These DEGs were also enriched in the adrenergic signaling in cardiomyoctes, dilated cardiomyopathy, and tight junction KEGG pathways. 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