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CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification
Atrial fibrillation (AF) is an increasingly prevalent arrhythmia with significant health and socioeconomic impact. The underlying mechanism of AF is still not well understood. In this study, we sought to identify hub genes involved in AF, and explored their functions and underlying mechanisms based...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397768/ https://www.ncbi.nlm.nih.gov/pubmed/34453039 http://dx.doi.org/10.1038/s41419-021-04109-5 |
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author | Liu, Peng Sun, Hongke Zhou, Xin Wang, Qiaozhu Gao, Feng Fu, Yuping Li, Tong Wang, Yixin Li, Yingqi Fan, Boyuan Li, Xiaoli Jiang, Tiannan Qin, Xinghua Zheng, Qiangsun |
author_facet | Liu, Peng Sun, Hongke Zhou, Xin Wang, Qiaozhu Gao, Feng Fu, Yuping Li, Tong Wang, Yixin Li, Yingqi Fan, Boyuan Li, Xiaoli Jiang, Tiannan Qin, Xinghua Zheng, Qiangsun |
author_sort | Liu, Peng |
collection | PubMed |
description | Atrial fibrillation (AF) is an increasingly prevalent arrhythmia with significant health and socioeconomic impact. The underlying mechanism of AF is still not well understood. In this study, we sought to identify hub genes involved in AF, and explored their functions and underlying mechanisms based on bioinformatics analysis. Five microarray datasets in GEO were used to identify the differentially expressed genes (DEGs) by Robust Rank Aggregation (RRA), and hub genes were screened out using protein–protein interaction (PPI) network. AF model was established using a mixture of acetylcholine and calcium chloride (Ach-CaCl(2)) by tail vein injection. We totally got 35 robust DEGs that mainly involve in extracellular matrix formation, leukocyte transendothelial migration, and chemokine signaling pathway. Among these DEGs, we identified three hub genes involved in AF, of which CXCL12/CXCR4 axis significantly upregulated in AF patients stands out as one of the most potent targets for AF prevention, and its effect on AF pathogenesis and underlying mechanisms were investigated in vivo subsequently with the specific CXCR4 antagonist AMD3100 (6 mg/kg). Our results demonstrated an elevated transcription and translation of CXCL12/CXCR4 axis in AF patients and mice, accompanied with the anabatic atrial inflammation and fibrosis, thereby providing the substrate for AF maintenance. Blocking its signaling via AMD3100 administration in AF model mice reduced AF inducibility and duration, partly ascribed to decreased atrial inflammation and structural remodeling. Mechanistically, these effects were achieved by reducing the recruitment of CD3+ T lymphocytes and F4/80+ macrophages, and suppressing the hyperactivation of ERK1/2 and AKT/mTOR signaling in atria of AF model mice. In conclusion, this study provides new evidence that antagonizing CXCR4 prevents the development of AF, and suggests that CXCL12/CXCR4 axis may be a potential therapeutic target for AF. |
format | Online Article Text |
id | pubmed-8397768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83977682021-09-15 CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification Liu, Peng Sun, Hongke Zhou, Xin Wang, Qiaozhu Gao, Feng Fu, Yuping Li, Tong Wang, Yixin Li, Yingqi Fan, Boyuan Li, Xiaoli Jiang, Tiannan Qin, Xinghua Zheng, Qiangsun Cell Death Dis Article Atrial fibrillation (AF) is an increasingly prevalent arrhythmia with significant health and socioeconomic impact. The underlying mechanism of AF is still not well understood. In this study, we sought to identify hub genes involved in AF, and explored their functions and underlying mechanisms based on bioinformatics analysis. Five microarray datasets in GEO were used to identify the differentially expressed genes (DEGs) by Robust Rank Aggregation (RRA), and hub genes were screened out using protein–protein interaction (PPI) network. AF model was established using a mixture of acetylcholine and calcium chloride (Ach-CaCl(2)) by tail vein injection. We totally got 35 robust DEGs that mainly involve in extracellular matrix formation, leukocyte transendothelial migration, and chemokine signaling pathway. Among these DEGs, we identified three hub genes involved in AF, of which CXCL12/CXCR4 axis significantly upregulated in AF patients stands out as one of the most potent targets for AF prevention, and its effect on AF pathogenesis and underlying mechanisms were investigated in vivo subsequently with the specific CXCR4 antagonist AMD3100 (6 mg/kg). Our results demonstrated an elevated transcription and translation of CXCL12/CXCR4 axis in AF patients and mice, accompanied with the anabatic atrial inflammation and fibrosis, thereby providing the substrate for AF maintenance. Blocking its signaling via AMD3100 administration in AF model mice reduced AF inducibility and duration, partly ascribed to decreased atrial inflammation and structural remodeling. Mechanistically, these effects were achieved by reducing the recruitment of CD3+ T lymphocytes and F4/80+ macrophages, and suppressing the hyperactivation of ERK1/2 and AKT/mTOR signaling in atria of AF model mice. In conclusion, this study provides new evidence that antagonizing CXCR4 prevents the development of AF, and suggests that CXCL12/CXCR4 axis may be a potential therapeutic target for AF. Nature Publishing Group UK 2021-08-27 /pmc/articles/PMC8397768/ /pubmed/34453039 http://dx.doi.org/10.1038/s41419-021-04109-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Peng Sun, Hongke Zhou, Xin Wang, Qiaozhu Gao, Feng Fu, Yuping Li, Tong Wang, Yixin Li, Yingqi Fan, Boyuan Li, Xiaoli Jiang, Tiannan Qin, Xinghua Zheng, Qiangsun CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
title | CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
title_full | CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
title_fullStr | CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
title_full_unstemmed | CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
title_short | CXCL12/CXCR4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
title_sort | cxcl12/cxcr4 axis as a key mediator in atrial fibrillation via bioinformatics analysis and functional identification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397768/ https://www.ncbi.nlm.nih.gov/pubmed/34453039 http://dx.doi.org/10.1038/s41419-021-04109-5 |
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