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Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia
BACKGROUND: Asthenozoospermia is a troublesome disease experienced by men in their reproductive years, but its exact etiology remains unclear. To address this problem, this study aims to identify the hub genes and crucial pathways in asthenozoospermia. METHODS: We screened two Gene Expression Omnibu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724253/ https://www.ncbi.nlm.nih.gov/pubmed/36471356 http://dx.doi.org/10.1186/s12920-022-01407-5 |
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author | Zou, Ci Xu, Shen Geng, Hao Li, Enlai Sun, Wei Yu, Dexin |
author_facet | Zou, Ci Xu, Shen Geng, Hao Li, Enlai Sun, Wei Yu, Dexin |
author_sort | Zou, Ci |
collection | PubMed |
description | BACKGROUND: Asthenozoospermia is a troublesome disease experienced by men in their reproductive years, but its exact etiology remains unclear. To address this problem, this study aims to identify the hub genes and crucial pathways in asthenozoospermia. METHODS: We screened two Gene Expression Omnibus (GEO) datasets (GSE92578 and GSE22331) to extract the differentially expressed genes (DEGs) between normozoospermic and asthenozoospermic men using the “Limma” package. Gene enrichment analyses of the DEGs were conducted using the “clusterProfiler” R package. The protein-protein interaction (PPI) network was then established using the STRING database. A miRNA-transcription factor-gene network was constructed based on the predicted results of hub genes using the RegNetwork database. The expression of four hub genes in asthenozoospermia and normal samples were verified using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) and western blotting. RESULTS: We identified 271 DEGs, which included 218 upregulated and 53 downregulated in two asthenozoospermia datasets. These DEGs were observed to be markedly enriched in pathways with cell growth and embryonic organ development, phospholipase D signaling pathway, cGMP-PKG signaling pathway, and Wnt signaling pathway. The most significant genes were identified, including COPS7A, CUL3, KLHL7, NEDD4. We then constructed regulatory networks of these genes, miRNAs, and transcription factors. Finally, we found that the COPS7A was significantly upregulated in patients with asthenozoospermia, but CUL3, KLHL7 and NEDD4 were significantly downregulated compared with normal samples. CONCLUSION: We applied bioinformatics methods to analyze the DEGs of asthenozoospermia based on the GEO database and identified the novel crucial genes and pathways in this disease. Our findings may provide novel insights into asthenozoospermia and identify new clues for the potential treatment of this disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01407-5. |
format | Online Article Text |
id | pubmed-9724253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97242532022-12-07 Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia Zou, Ci Xu, Shen Geng, Hao Li, Enlai Sun, Wei Yu, Dexin BMC Med Genomics Research BACKGROUND: Asthenozoospermia is a troublesome disease experienced by men in their reproductive years, but its exact etiology remains unclear. To address this problem, this study aims to identify the hub genes and crucial pathways in asthenozoospermia. METHODS: We screened two Gene Expression Omnibus (GEO) datasets (GSE92578 and GSE22331) to extract the differentially expressed genes (DEGs) between normozoospermic and asthenozoospermic men using the “Limma” package. Gene enrichment analyses of the DEGs were conducted using the “clusterProfiler” R package. The protein-protein interaction (PPI) network was then established using the STRING database. A miRNA-transcription factor-gene network was constructed based on the predicted results of hub genes using the RegNetwork database. The expression of four hub genes in asthenozoospermia and normal samples were verified using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) and western blotting. RESULTS: We identified 271 DEGs, which included 218 upregulated and 53 downregulated in two asthenozoospermia datasets. These DEGs were observed to be markedly enriched in pathways with cell growth and embryonic organ development, phospholipase D signaling pathway, cGMP-PKG signaling pathway, and Wnt signaling pathway. The most significant genes were identified, including COPS7A, CUL3, KLHL7, NEDD4. We then constructed regulatory networks of these genes, miRNAs, and transcription factors. Finally, we found that the COPS7A was significantly upregulated in patients with asthenozoospermia, but CUL3, KLHL7 and NEDD4 were significantly downregulated compared with normal samples. CONCLUSION: We applied bioinformatics methods to analyze the DEGs of asthenozoospermia based on the GEO database and identified the novel crucial genes and pathways in this disease. Our findings may provide novel insights into asthenozoospermia and identify new clues for the potential treatment of this disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01407-5. BioMed Central 2022-12-05 /pmc/articles/PMC9724253/ /pubmed/36471356 http://dx.doi.org/10.1186/s12920-022-01407-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zou, Ci Xu, Shen Geng, Hao Li, Enlai Sun, Wei Yu, Dexin Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
title | Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
title_full | Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
title_fullStr | Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
title_full_unstemmed | Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
title_short | Bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
title_sort | bioinformatics analysis identifies potential hub genes and crucial pathways in the pathogenesis of asthenozoospermia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724253/ https://www.ncbi.nlm.nih.gov/pubmed/36471356 http://dx.doi.org/10.1186/s12920-022-01407-5 |
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