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Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse

OBJECTIVE: Pelvic organ prolapse (POP) refers to the decline of pelvic organ position and dysfunction caused by weak pelvic floor support. The aim of the present study was to screen the hub genes and immune cell infiltration related to POP disease. METHODS: Microarray data of 34 POP tissues in the G...

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Autores principales: Zhao, Ying, Xia, Zhijun, Lin, Te, Yin, Yitong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441923/
https://www.ncbi.nlm.nih.gov/pubmed/32874785
http://dx.doi.org/10.7717/peerj.9773
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author Zhao, Ying
Xia, Zhijun
Lin, Te
Yin, Yitong
author_facet Zhao, Ying
Xia, Zhijun
Lin, Te
Yin, Yitong
author_sort Zhao, Ying
collection PubMed
description OBJECTIVE: Pelvic organ prolapse (POP) refers to the decline of pelvic organ position and dysfunction caused by weak pelvic floor support. The aim of the present study was to screen the hub genes and immune cell infiltration related to POP disease. METHODS: Microarray data of 34 POP tissues in the GSE12852 gene expression dataset were used as research objects. Weighted gene co-expression network analysis (WGCNA) was performed to elucidate the hub module and hub genes related to POP occurrence. Gene function annotation was performed using the DAVID tool. Differential analysis based on the GSE12852 dataset was carried out to explore the expression of the selected hub genes in POP and non-POP tissues, and RT-qPCR was used to validate the results. The differential immune cell infiltration between POP and non-POP tissues was investigated using the CIBERSORT algorithm. RESULTS: WGCNA revealed the module that possessed the highest correlation with POP occurrence. Functional annotation indicated that the genes in this module were mainly involved in immunity. ZNF331, THBS1, IFRD1, FLJ20533, CXCR4, GEM, SOD2, and SAT were identified as the hub genes. Differential analysis and RT-qPCR demonstrated that the selected hub genes were overexpressed in POP tissues as compared with non-POP tissues. The CIBERSORT algorithm was employed to evaluate the infiltration of 22 immune cell types in POP tissues and non-POP tissues. We found greater infiltration of activated mast cells and neutrophils in POP tissues than non-POP tissues, while the infiltration of resting mast cells was lower in POP tissues. Moreover, we investigated the relationship between the type of immune cell infiltration and hub genes by Pearson correlation analysis. The results indicate that activated mast cells and neutrophils had a positive correlation with the hub genes, while resting mast cells had a negative correlation with the hub genes. CONCLUSIONS: Our research identified eight hub genes and the infiltration of three types of immune cells related to POP occurrence. These hub genes may participate in the pathogenesis of POP through the immune system, giving them a certain diagnostic and therapeutic value.
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spelling pubmed-74419232020-08-31 Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse Zhao, Ying Xia, Zhijun Lin, Te Yin, Yitong PeerJ Bioinformatics OBJECTIVE: Pelvic organ prolapse (POP) refers to the decline of pelvic organ position and dysfunction caused by weak pelvic floor support. The aim of the present study was to screen the hub genes and immune cell infiltration related to POP disease. METHODS: Microarray data of 34 POP tissues in the GSE12852 gene expression dataset were used as research objects. Weighted gene co-expression network analysis (WGCNA) was performed to elucidate the hub module and hub genes related to POP occurrence. Gene function annotation was performed using the DAVID tool. Differential analysis based on the GSE12852 dataset was carried out to explore the expression of the selected hub genes in POP and non-POP tissues, and RT-qPCR was used to validate the results. The differential immune cell infiltration between POP and non-POP tissues was investigated using the CIBERSORT algorithm. RESULTS: WGCNA revealed the module that possessed the highest correlation with POP occurrence. Functional annotation indicated that the genes in this module were mainly involved in immunity. ZNF331, THBS1, IFRD1, FLJ20533, CXCR4, GEM, SOD2, and SAT were identified as the hub genes. Differential analysis and RT-qPCR demonstrated that the selected hub genes were overexpressed in POP tissues as compared with non-POP tissues. The CIBERSORT algorithm was employed to evaluate the infiltration of 22 immune cell types in POP tissues and non-POP tissues. We found greater infiltration of activated mast cells and neutrophils in POP tissues than non-POP tissues, while the infiltration of resting mast cells was lower in POP tissues. Moreover, we investigated the relationship between the type of immune cell infiltration and hub genes by Pearson correlation analysis. The results indicate that activated mast cells and neutrophils had a positive correlation with the hub genes, while resting mast cells had a negative correlation with the hub genes. CONCLUSIONS: Our research identified eight hub genes and the infiltration of three types of immune cells related to POP occurrence. These hub genes may participate in the pathogenesis of POP through the immune system, giving them a certain diagnostic and therapeutic value. PeerJ Inc. 2020-08-18 /pmc/articles/PMC7441923/ /pubmed/32874785 http://dx.doi.org/10.7717/peerj.9773 Text en © 2020 Zhao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Zhao, Ying
Xia, Zhijun
Lin, Te
Yin, Yitong
Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
title Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
title_full Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
title_fullStr Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
title_full_unstemmed Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
title_short Significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
title_sort significance of hub genes and immune cell infiltration identified by bioinformatics analysis in pelvic organ prolapse
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7441923/
https://www.ncbi.nlm.nih.gov/pubmed/32874785
http://dx.doi.org/10.7717/peerj.9773
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