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PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation

BACKGROUND AND AIMS: inflammation plays an important role in atrial fibrillation (AF). In this study, we investigated the significance of immune cell infiltration in AF and identified the potential Hub genes involved in the regulation of immune cell infiltration in AF. METHODS: we obtained AF datase...

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Autores principales: Shi, Weihua, Li, Xiaoli, Su, Yongxing, Liu, Dezhao, Wu, Liying, Li, Shuo, He, Wenxiu, Zhong, Guoqiang, Jiang, Zhiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311564/
https://www.ncbi.nlm.nih.gov/pubmed/37396579
http://dx.doi.org/10.3389/fcvm.2023.1082015
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author Shi, Weihua
Li, Xiaoli
Su, Yongxing
Liu, Dezhao
Wu, Liying
Li, Shuo
He, Wenxiu
Zhong, Guoqiang
Jiang, Zhiyuan
author_facet Shi, Weihua
Li, Xiaoli
Su, Yongxing
Liu, Dezhao
Wu, Liying
Li, Shuo
He, Wenxiu
Zhong, Guoqiang
Jiang, Zhiyuan
author_sort Shi, Weihua
collection PubMed
description BACKGROUND AND AIMS: inflammation plays an important role in atrial fibrillation (AF). In this study, we investigated the significance of immune cell infiltration in AF and identified the potential Hub genes involved in the regulation of immune cell infiltration in AF. METHODS: we obtained AF datasets from the GEO database and analyzed them for obtaining differentially expressed genes (DEGs) by R software. Then, we performed GO, KEGG, and GSEA enrichment analyses of DEGs. The Hub genes of AF were determined by least absolute shrinkage selection operator (LASSO) regression analysis and weighted gene co-expression network analysis (WGCNA). Their validation was verified by using quantitative polymerase chain reaction (qPCR) in the AF rat model. Finally, we used a single sample GSEA (ssGSEA) to analyze immune cell infiltration and its relationship with hub genes. RESULTS: We obtained 298 DGEs from the heatmap and found that DGEs were closely related to inflammation, immunity, and cytokine interactions by enrichment analyses. We obtained 10 co-expression modules by WGCNA. Among them, the module including CLEC4A, COTL1, EVI2B, FCER1G, GAPT, HCST, NCF2, PILRA, TLR8, and TYROBP had the highest correlation with AF. Four Hub genes (PILRA, NCF2, EVI2B, GAPT) were obtained further by LASSO analysis. The results suggested that the expression level of PILRA was significantly elevated in the rats with AF by qPCR, compared to the rats without AF. The results revealed that the infiltration of neutrophils, macrophages, monocytes, mast cells, immature B cells, myeloid-derived suppressor cell (MDSC), dendritic cell, and T cells and their partial subpopulations were closely related to AF by ssGSEA analysis, and PILRA was positively correlated with immature B cell, monocyte, macrophage, mast cell, dendritic cell, and T cells and their partial subpopulations by Spearman correlation analysis. CONCLUSIONS: PILRA was closely related to multiple types of immune cell infiltration, which may be associated with AF. PILRA may be a novel target of intervention for AF.
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spelling pubmed-103115642023-07-01 PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation Shi, Weihua Li, Xiaoli Su, Yongxing Liu, Dezhao Wu, Liying Li, Shuo He, Wenxiu Zhong, Guoqiang Jiang, Zhiyuan Front Cardiovasc Med Cardiovascular Medicine BACKGROUND AND AIMS: inflammation plays an important role in atrial fibrillation (AF). In this study, we investigated the significance of immune cell infiltration in AF and identified the potential Hub genes involved in the regulation of immune cell infiltration in AF. METHODS: we obtained AF datasets from the GEO database and analyzed them for obtaining differentially expressed genes (DEGs) by R software. Then, we performed GO, KEGG, and GSEA enrichment analyses of DEGs. The Hub genes of AF were determined by least absolute shrinkage selection operator (LASSO) regression analysis and weighted gene co-expression network analysis (WGCNA). Their validation was verified by using quantitative polymerase chain reaction (qPCR) in the AF rat model. Finally, we used a single sample GSEA (ssGSEA) to analyze immune cell infiltration and its relationship with hub genes. RESULTS: We obtained 298 DGEs from the heatmap and found that DGEs were closely related to inflammation, immunity, and cytokine interactions by enrichment analyses. We obtained 10 co-expression modules by WGCNA. Among them, the module including CLEC4A, COTL1, EVI2B, FCER1G, GAPT, HCST, NCF2, PILRA, TLR8, and TYROBP had the highest correlation with AF. Four Hub genes (PILRA, NCF2, EVI2B, GAPT) were obtained further by LASSO analysis. The results suggested that the expression level of PILRA was significantly elevated in the rats with AF by qPCR, compared to the rats without AF. The results revealed that the infiltration of neutrophils, macrophages, monocytes, mast cells, immature B cells, myeloid-derived suppressor cell (MDSC), dendritic cell, and T cells and their partial subpopulations were closely related to AF by ssGSEA analysis, and PILRA was positively correlated with immature B cell, monocyte, macrophage, mast cell, dendritic cell, and T cells and their partial subpopulations by Spearman correlation analysis. CONCLUSIONS: PILRA was closely related to multiple types of immune cell infiltration, which may be associated with AF. PILRA may be a novel target of intervention for AF. Frontiers Media S.A. 2023-06-16 /pmc/articles/PMC10311564/ /pubmed/37396579 http://dx.doi.org/10.3389/fcvm.2023.1082015 Text en © 2023 Shi, Li, Su, Liu, Wu, Li, He, Zhong and Jiang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Shi, Weihua
Li, Xiaoli
Su, Yongxing
Liu, Dezhao
Wu, Liying
Li, Shuo
He, Wenxiu
Zhong, Guoqiang
Jiang, Zhiyuan
PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
title PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
title_full PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
title_fullStr PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
title_full_unstemmed PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
title_short PILRA is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
title_sort pilra is associated with immune cells infiltration in atrial fibrillation based on bioinformatics and experiment validation
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311564/
https://www.ncbi.nlm.nih.gov/pubmed/37396579
http://dx.doi.org/10.3389/fcvm.2023.1082015
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