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通过加权基因共表达网络分析构建与血管性痴呆发生发展相关的ceRNA免疫调节网络。

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

作者信息

Shi Hongshuo, Sun Fengshan, Yang Tiantian, Peng Min, Wang Min, Zhang Yiwen, Wang Yao, Dong Chengda, Yan Zhaojun, Si Guomin, Wang Wenbo, Li Yujie

机构信息

College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.

Department of Encephalopathy, Jinan Traditional Chinese Medicine Hospital, Jinan, China.

出版信息

Ann Transl Med. 2021 May;9(10):858. doi: 10.21037/atm-21-1717.

Abstract

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 , , , , , , , and may be the key factors of VaD. Our subsequent GSEA analysis showed that 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 , , , , , , , and , and our research hopes to provide new treatment options for VaD.

摘要

背景

迄今为止,血管性痴呆(VaD)在临床实践中缺乏有效的治疗方法。越来越多的证据表明,VaD可能与免疫反应密切相关。高通量技术的发展以及最近发现的一组名为竞争性内源性RNA(ceRNA)的新介质,为研究VaD的免疫调节提供了独特的机会。

方法

在本研究中,我们使用基因表达综合数据库(GEO)中的基因表达谱,通过加权基因共表达网络分析(WGCNA)和基因富集分析来获得免疫相关基因共表达模块。我们从GEO数据库中提取并合并长链非编码RNA(lncRNA)和微小RNA(miRNA)的表达,并将它们与相关数据库进行映射。随后,我们使用Cytoscape构建lncRNA-miRNA-mRNA网络,然后对网络中的mRNA进行富集分析以确定其调控功能。随后,我们进行了免疫细胞人工智能免疫浸润分析,并构建了相关免疫细胞的ceRNA子网。最后,我们进行了基因集富集分析(GSEA)以确定关键因子的潜在调控途径。

结果

结果,我们将蓝色模块确定为免疫的关键模块,并构建了相关的ceRNA网络。免疫浸润分析表明,自然杀伤T(NKT)细胞可能是VaD的关键免疫细胞。通过Pearson相关分析,我们确定 、 、 、 、 、 、 和 可能是VaD的关键因子。我们随后的GSEA分析表明, 可能受NK细胞和Toll样受体调控。

结论

我们的研究首次从免疫学角度为血管性痴呆提供了新的治疗靶点,包括 、 、 、 、 、 、 和 ,我们的研究希望为VaD提供新的治疗选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1228/8184445/47e99d427f50/atm-09-10-858-f1.jpg

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