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Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Systemic Lupus Erythematosus and Pulmonary Arterial Hypertension: Evidence From Transcriptome Data

Menghui Yao 1
Chunyi Zhang 1
Congcong Gao 1
Qianqian Wang 1
Mengmeng Dai 1
Runzhi Yue 1
Wenbo Sun 1
Wenfang Liang 1
Zhaohui Zheng 1
Publication typeJournal Article
Publication date2021-07-15
scimago Q1
wos Q1
SJR1.941
CiteScore10.8
Impact factor5.9
ISSN16643224
Immunology
Immunology and Allergy
Abstract
Background

Systemic lupus erythematosus (SLE) is an autoimmune disease that can affect multiple systems. Pulmonary arterial hypertension (PAH) has a close linkage with SLE. However, the inter-relational mechanisms between them are still unclear. This article aimed to explore the shared gene signatures and potential molecular mechanisms in SLE and PAH.

Methods

The microarray data of SLE and PAH in the Gene Expression Omnibus (GEO) database were downloaded. The Weighted Gene Co-Expression Network Analysis (WGCNA) was used to identify the co-expression modules related to SLE and PAH. The shared genes existing in the SLE and PAH were performed an enrichment analysis by ClueGO software, and their unique genes were also performed with biological processes analyses using the DAVID website. The results were validated in another cohort by differential gene analysis. Moreover, the common microRNAs (miRNAs) in SLE and PAH were obtained from the Human microRNA Disease Database (HMDD) and the target genes of whom were predicted through the miRTarbase. Finally, we constructed the common miRNAs–mRNAs network with the overlapped genes in target and shared genes.

Results

Using WGCNA, four modules and one module were identified as the significant modules with SLE and PAH, respectively. A ClueGO enrichment analysis of shared genes reported that highly activated type I IFN response was a common feature in the pathophysiology of SLE and PAH. The results of differential analysis in another cohort were extremely similar to them. We also proposed a disease road model for the possible mechanism of PAH secondary to SLE according to the shared and unique gene signatures in SLE and PAH. The miRNA–mRNA network showed that hsa-miR-146a might regulate the shared IFN-induced genes, which might play an important role in PAH secondary to SLE.

Conclusion

Our work firstly revealed the high IFN response in SLE patients might be a crucial susceptible factor for PAH and identified novel gene candidates that could be used as biomarkers or potential therapeutic targets.

Found 
Found 

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GOST Copy
Yao M. et al. Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Systemic Lupus Erythematosus and Pulmonary Arterial Hypertension: Evidence From Transcriptome Data // Frontiers in Immunology. 2021. Vol. 12.
GOST all authors (up to 50) Copy
Yao M., Zhang C., Gao C., Wang Q., Dai M., Yue R., Sun W., Liang W., Zheng Z. Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Systemic Lupus Erythematosus and Pulmonary Arterial Hypertension: Evidence From Transcriptome Data // Frontiers in Immunology. 2021. Vol. 12.
RIS |
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RIS Copy
TY - JOUR
DO - 10.3389/fimmu.2021.658341
UR - https://doi.org/10.3389/fimmu.2021.658341
TI - Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Systemic Lupus Erythematosus and Pulmonary Arterial Hypertension: Evidence From Transcriptome Data
T2 - Frontiers in Immunology
AU - Yao, Menghui
AU - Zhang, Chunyi
AU - Gao, Congcong
AU - Wang, Qianqian
AU - Dai, Mengmeng
AU - Yue, Runzhi
AU - Sun, Wenbo
AU - Liang, Wenfang
AU - Zheng, Zhaohui
PY - 2021
DA - 2021/07/15
PB - Frontiers Media S.A.
VL - 12
PMID - 34335565
SN - 1664-3224
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2021_Yao,
author = {Menghui Yao and Chunyi Zhang and Congcong Gao and Qianqian Wang and Mengmeng Dai and Runzhi Yue and Wenbo Sun and Wenfang Liang and Zhaohui Zheng},
title = {Exploration of the Shared Gene Signatures and Molecular Mechanisms Between Systemic Lupus Erythematosus and Pulmonary Arterial Hypertension: Evidence From Transcriptome Data},
journal = {Frontiers in Immunology},
year = {2021},
volume = {12},
publisher = {Frontiers Media S.A.},
month = {jul},
url = {https://doi.org/10.3389/fimmu.2021.658341},
doi = {10.3389/fimmu.2021.658341}
}