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Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood
OBJECTIVE: This study aims to analyze the gene expression profile of peripheral blood in different stages of myocardial infarction (MI) by transcriptome sequencing, and to study the gene expression characteristics of peripheral blood after MI. METHODS: Differentially expressed genes (DEGs) and weigh...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763698/ https://www.ncbi.nlm.nih.gov/pubmed/36561770 http://dx.doi.org/10.3389/fcvm.2022.993579 |
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author | Yang, Xiangyu Li, Jie Hu, Xinyao Zhang, Yinzhuang Kuang, Yuanyuan Liu, Yubo Liu, Chenxi Gao, Haodong Ma, Li Tang, Jia Ma, Qilin |
author_facet | Yang, Xiangyu Li, Jie Hu, Xinyao Zhang, Yinzhuang Kuang, Yuanyuan Liu, Yubo Liu, Chenxi Gao, Haodong Ma, Li Tang, Jia Ma, Qilin |
author_sort | Yang, Xiangyu |
collection | PubMed |
description | OBJECTIVE: This study aims to analyze the gene expression profile of peripheral blood in different stages of myocardial infarction (MI) by transcriptome sequencing, and to study the gene expression characteristics of peripheral blood after MI. METHODS: Differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify genes and modules associated with old myocardial infarction (OMI). Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation were applied to analyze the potential functions of genes. Hub genes were identified by Random Forest Classifier. CIBERSORT was used to provide an estimate of the abundance of 22 immune cells in peripheral blood. Quantitative polymerase chain reaction (qPCR) was used to detect gene expression levels in clinical samples. The cellular components (CC) of peripheral blood were counted by an automatic hematology analyzer. RESULTS: Through differential gene analysis and co-expression network analysis, 11 candidate genes were obtained. A random forest classifier identified 10 hub genes. Immune cell distribution of peripheral blood was found that T cell CD4 memory resting, NK cells resting, Dendritic cells activated, Mast cells resting, Monocytes and Neutrophils were correlated with OMI. Spearman correlation analysis found that PFKFB2 is related to the above immune cells. Low expression of PFKFB2 in peripheral blood of OMI was detected in clinical samples, and the relationship between PFKFB2 and peripheral blood immune cell counts was analyzed, which showed monocytes were associated with PFKFB2 in our study. CONCLUSION: PFKFB2 was low expressed in OMI, and related to the distribution of immune cells. PFKFB2 may play a key role in reflecting the transition from AMI to OMI, and predicting the distribution of immune cells, which provided a new perspective for improving myocardial fibrosis and adverse remodeling. |
format | Online Article Text |
id | pubmed-9763698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97636982022-12-21 Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood Yang, Xiangyu Li, Jie Hu, Xinyao Zhang, Yinzhuang Kuang, Yuanyuan Liu, Yubo Liu, Chenxi Gao, Haodong Ma, Li Tang, Jia Ma, Qilin Front Cardiovasc Med Cardiovascular Medicine OBJECTIVE: This study aims to analyze the gene expression profile of peripheral blood in different stages of myocardial infarction (MI) by transcriptome sequencing, and to study the gene expression characteristics of peripheral blood after MI. METHODS: Differentially expressed genes (DEGs) and weighted gene co-expression network analysis (WGCNA) were used to identify genes and modules associated with old myocardial infarction (OMI). Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation were applied to analyze the potential functions of genes. Hub genes were identified by Random Forest Classifier. CIBERSORT was used to provide an estimate of the abundance of 22 immune cells in peripheral blood. Quantitative polymerase chain reaction (qPCR) was used to detect gene expression levels in clinical samples. The cellular components (CC) of peripheral blood were counted by an automatic hematology analyzer. RESULTS: Through differential gene analysis and co-expression network analysis, 11 candidate genes were obtained. A random forest classifier identified 10 hub genes. Immune cell distribution of peripheral blood was found that T cell CD4 memory resting, NK cells resting, Dendritic cells activated, Mast cells resting, Monocytes and Neutrophils were correlated with OMI. Spearman correlation analysis found that PFKFB2 is related to the above immune cells. Low expression of PFKFB2 in peripheral blood of OMI was detected in clinical samples, and the relationship between PFKFB2 and peripheral blood immune cell counts was analyzed, which showed monocytes were associated with PFKFB2 in our study. CONCLUSION: PFKFB2 was low expressed in OMI, and related to the distribution of immune cells. PFKFB2 may play a key role in reflecting the transition from AMI to OMI, and predicting the distribution of immune cells, which provided a new perspective for improving myocardial fibrosis and adverse remodeling. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763698/ /pubmed/36561770 http://dx.doi.org/10.3389/fcvm.2022.993579 Text en Copyright © 2022 Yang, Li, Hu, Zhang, Kuang, Liu, Liu, Gao, Ma, Tang and Ma. 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). 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 Yang, Xiangyu Li, Jie Hu, Xinyao Zhang, Yinzhuang Kuang, Yuanyuan Liu, Yubo Liu, Chenxi Gao, Haodong Ma, Li Tang, Jia Ma, Qilin Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
title | Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
title_full | Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
title_fullStr | Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
title_full_unstemmed | Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
title_short | Identification of PFKFB2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
title_sort | identification of pfkfb2 as a key gene for the transition from acute to old myocardial infarction in peripheral blood |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763698/ https://www.ncbi.nlm.nih.gov/pubmed/36561770 http://dx.doi.org/10.3389/fcvm.2022.993579 |
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