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pmid:34731136

Comparison of critical biomarkers in 2 erectile dysfunction models based on GEO and NOS-cGMP-PDE5 pathway.

Guangying Wang · Dayue Shen · Xilan Zhang · Monica G Ferrini · Yuanping Li · Hui Liao

Medicine · 2021 doi:10.1097/MD.0000000000027508

Paper

complete

Experiment

complete

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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title
Comparison of critical biomarkers in 2 erectile dysfunction models based on GEO and NOS-cGMP-PDE5 pathway.
doi
10.1097/MD.0000000000027508
pmid
34731136
authors array · 6 items
[0]
Guangying Wang
[1]
Dayue Shen
[2]
Xilan Zhang
[3]
Monica G Ferrini
[4]
Yuanping Li
[5]
Hui Liao
journal
Medicine
year
2021
abstract
BACKGROUND: Erectile dysfunction is a disease commonly caused by diabetes mellitus (DMED) and cavernous nerve injury (CNIED). Bioinformatics analyses including differentially expressed genes (DEGs), enriched functions and pathways (EFPs), and protein-protein interaction (PPI) networks were carried out in DMED and CNIED rats in this study. The critical biomarkers that may intervene in nitric oxide synthase (NOS, predominantly nNOS, ancillary eNOS, and iNOS)-cyclic guanosine monophosphate (cGMP)-phosphodiesterase 5 enzyme (PDE5) pathway, an important mechanism in erectile dysfunction treatment, were then explored for potential clinical applications. METHODS: GSE2457 and GSE31247 were downloaded. Their DEGs with a |logFC (fold change)| > 0 were screened out. Database for Annotation, Visualization and Integrated Discovery (DAVID) online database was used to analyze the EFPs in Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes networks based on down-regulated and up-regulated DEGs respectively. PPI analysis of 2 datasets was performed in Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape. Interactions with an average score greater than 0.9 were chosen as the cutoff for statistical significance. RESULTS: From a total of 1710 DEGs in GSE2457, 772 were down-regulated and 938 were up-regulated, in contrast to the 836 DEGs in GSE31247, from which 508 were down-regulated and 328 were up-regulated. The 25 common EFPs such as aging and response to hormone were identified in both models. PPI results showed that the first 10 hub genes in DMED were all different from those in CNIED. CONCLUSIONS: The intervention of iNOS with the hub gene complement component 3 in DMED and the aging process in both DMED and CNIED deserves attention.
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The DEGs in the ED and non-ED specimen were picked out from GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r), which is a platform for examining DEGs across experimental conditions by comparing multiple datasets in GEO series. The genes with a |logFC (fold change)| > 0 and P < .05 were screened out and P < .05 represented statistical significance.
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sections[4] "Identification of DEGs" paragraph 2
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The DEGs in the ED and non-ED specimen were picked out from GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r), which is a platform for examining DEGs across experimental conditions by comparing multiple datasets in GEO series.
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sections[4] "Identification of DEGs" paragraph 2
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The genes with a |logFC (fold change)| > 0 and P < .05 were screened out and P < .05 represented statistical significance.
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Raw data is available at NCBI GEO: GSE2457 and GSE31247.
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sections[4] "Identification of DEGs" paragraph 2
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The DEGs in the ED and non-ED specimen were picked out from GEO2R (http://www.ncbi.nlm.nih.gov/geo/geo2r), which is a platform for examining DEGs across experimental conditions by comparing multiple datasets in GEO series.
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The genes with a |logFC (fold change)| > 0 and P < .05 were screened out and P < .05 represented statistical significance.
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sections[3] "Microarray data" paragraph 2
quote
Two gene expression datasets, namely GSE2457 entitled “Transcription profiling of rat penis samples from animals with diabetes-induced erectile dysfunction” and GSE31247 entitled “Gene expression profile on the penile tissue of erectile dysfunction (ED) in cavernous nerve injury (CNI) rat model”, were downloaded from GEO
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Control vs Diabetic Penile Tissues
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Gene expression profile on the penile tissue of erectile dysfunction (ED) in cavernous nerve injury (CNI) RAT model
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Complete file
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Bioinformatics analyses including differentially expressed genes (DEGs), enriched functions and pathways (EFPs), and protein-protein interaction (PPI) networks were carried out in DMED and CNIED rats in this study. The critical biomarkers that may intervene in nitric oxide synthase (NOS, predominantly nNOS, ancillary eNOS, and iNOS)-cyclic guanosine monophosphate (cGMP)-phosphodiesterase 5 enzyme (PDE5) pathway, an important mechanism in erectile dysfunction treatment, were then explored for potential clinical applications.\nMETHODS: GSE2457 and GSE31247 were downloaded. Their DEGs with a |logFC (fold change)| > 0 were screened out. Database for Annotation, Visualization and Integrated Discovery (DAVID) online database was used to analyze the EFPs in Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes networks based on down-regulated and up-regulated DEGs respectively. PPI analysis of 2 datasets was performed in Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape. Interactions with an average score greater than 0.9 were chosen as the cutoff for statistical significance.\nRESULTS: From a total of 1710 DEGs in GSE2457, 772 were down-regulated and 938 were up-regulated, in contrast to the 836 DEGs in GSE31247, from which 508 were down-regulated and 328 were up-regulated. The 25 common EFPs such as aging and response to hormone were identified in both models. 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