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Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis

BACKGROUND: To date, vascular dementia (VaD) lacks effective treatment in clinical practice. There is also growing evidence that VaD may be closely related to the immune response. The development of high-throughput technology, and the recently discovered group of new mediators called competitive end...

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Autores principales: Shi, Hongshuo, Sun, Fengshan, Yang, Tiantian, Peng, Min, Wang, Min, Zhang, Yiwen, Wang, Yao, Dong, Chengda, Yan, Zhaojun, Si, Guomin, Wang, Wenbo, Li, Yujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184445/
https://www.ncbi.nlm.nih.gov/pubmed/34164492
http://dx.doi.org/10.21037/atm-21-1717
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author Shi, Hongshuo
Sun, Fengshan
Yang, Tiantian
Peng, Min
Wang, Min
Zhang, Yiwen
Wang, Yao
Dong, Chengda
Yan, Zhaojun
Si, Guomin
Wang, Wenbo
Li, Yujie
author_facet Shi, Hongshuo
Sun, Fengshan
Yang, Tiantian
Peng, Min
Wang, Min
Zhang, Yiwen
Wang, Yao
Dong, Chengda
Yan, Zhaojun
Si, Guomin
Wang, Wenbo
Li, Yujie
author_sort Shi, Hongshuo
collection PubMed
description BACKGROUND: To date, vascular dementia (VaD) lacks effective treatment in clinical practice. There is also growing evidence that VaD may be closely related to the immune response. The development of high-throughput technology, and the recently discovered group of new mediators called competitive endogenous RNAs (ceRNA), provides a unique opportunity to study the immunomodulation of VaD. METHODS: In this study, we used gene expression profiles in the Gene Expression Omnibus (GEO) database to obtain immune-related gene coexpression modules through a weighted gene coexpression network analysis (WGCNA) and gene enrichment analysis. We extracted and merged long non-coding RNA (lncRNA) and microRNA (miRNA) expressions from the GEO database and mapped them with related databases. Subsequently, we used Cytoscape to construct a lncRNA-miRNA-mRNA network, and then we performed an enrichment analysis on the mRNAs in the network to determine their regulatory function. Subsequently, we used an ImmuCellAI immune infiltration analysis and constructed a ceRNA sub-network of related immune cells. Finally, we conducted a gene set enrichment analysis (GSEA) to determine the potential regulatory pathways of the key factors. RESULTS: As a result, we identified the blue module as the key module of immunity and constructed the related CeRNA network. Immune infiltration analysis showed that natural killer T (NKT) cells may be the key immune cells of VaD. Using a Pearson correlation analysis, we identified that B4GALT1, PPP1R3B, MICB, HHAT, DSC2, DNA2, SCARA3, and lncRNA NEAT1 may be the key factors of VaD. Our subsequent GSEA analysis showed that lncRNA NEAT1 may be regulated by NK cells and toll-like receptors. CONCLUSIONS: Our research provides new therapeutic targets for vascular dementia from the immunological perspective for the first time, including B4GALT1, PPP1R3B, MICB, HHAT, DSC2, DNA2, SCARA3, and lncRNA NEAT1, and our research hopes to provide new treatment options for VaD.
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spelling pubmed-81844452021-06-22 Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis Shi, Hongshuo Sun, Fengshan Yang, Tiantian Peng, Min Wang, Min Zhang, Yiwen Wang, Yao Dong, Chengda Yan, Zhaojun Si, Guomin Wang, Wenbo Li, Yujie Ann Transl Med Original Article BACKGROUND: To date, vascular dementia (VaD) lacks effective treatment in clinical practice. There is also growing evidence that VaD may be closely related to the immune response. The development of high-throughput technology, and the recently discovered group of new mediators called competitive endogenous RNAs (ceRNA), provides a unique opportunity to study the immunomodulation of VaD. METHODS: In this study, we used gene expression profiles in the Gene Expression Omnibus (GEO) database to obtain immune-related gene coexpression modules through a weighted gene coexpression network analysis (WGCNA) and gene enrichment analysis. We extracted and merged long non-coding RNA (lncRNA) and microRNA (miRNA) expressions from the GEO database and mapped them with related databases. Subsequently, we used Cytoscape to construct a lncRNA-miRNA-mRNA network, and then we performed an enrichment analysis on the mRNAs in the network to determine their regulatory function. Subsequently, we used an ImmuCellAI immune infiltration analysis and constructed a ceRNA sub-network of related immune cells. Finally, we conducted a gene set enrichment analysis (GSEA) to determine the potential regulatory pathways of the key factors. RESULTS: As a result, we identified the blue module as the key module of immunity and constructed the related CeRNA network. Immune infiltration analysis showed that natural killer T (NKT) cells may be the key immune cells of VaD. Using a Pearson correlation analysis, we identified that B4GALT1, PPP1R3B, MICB, HHAT, DSC2, DNA2, SCARA3, and lncRNA NEAT1 may be the key factors of VaD. Our subsequent GSEA analysis showed that lncRNA NEAT1 may be regulated by NK cells and toll-like receptors. CONCLUSIONS: Our research provides new therapeutic targets for vascular dementia from the immunological perspective for the first time, including B4GALT1, PPP1R3B, MICB, HHAT, DSC2, DNA2, SCARA3, and lncRNA NEAT1, and our research hopes to provide new treatment options for VaD. AME Publishing Company 2021-05 /pmc/articles/PMC8184445/ /pubmed/34164492 http://dx.doi.org/10.21037/atm-21-1717 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Shi, Hongshuo
Sun, Fengshan
Yang, Tiantian
Peng, Min
Wang, Min
Zhang, Yiwen
Wang, Yao
Dong, Chengda
Yan, Zhaojun
Si, Guomin
Wang, Wenbo
Li, Yujie
Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
title Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
title_full Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
title_fullStr Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
title_full_unstemmed Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
title_short Construction of a ceRNA immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
title_sort construction of a cerna immunoregulatory network related to the development of vascular dementia through a weighted gene coexpression network analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184445/
https://www.ncbi.nlm.nih.gov/pubmed/34164492
http://dx.doi.org/10.21037/atm-21-1717
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