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The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction

Young patients with type 2 diabetes and myocardial infarction (MI) have higher long-term all-cause and cardiovascular mortality. In addition, the observed increased, mildly abnormal baseline lipid levels, but not lipid variability, are associated with an increased risk of atherosclerotic cardiovascu...

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Autores principales: Zheng, Yue, Gong, Yijie, Lang, Yuheng, Qi, Zhenchang, Hu, Xiaomin, Li, Tong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678557/
https://www.ncbi.nlm.nih.gov/pubmed/34925642
http://dx.doi.org/10.1155/2021/4300406
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author Zheng, Yue
Gong, Yijie
Lang, Yuheng
Qi, Zhenchang
Hu, Xiaomin
Li, Tong
author_facet Zheng, Yue
Gong, Yijie
Lang, Yuheng
Qi, Zhenchang
Hu, Xiaomin
Li, Tong
author_sort Zheng, Yue
collection PubMed
description Young patients with type 2 diabetes and myocardial infarction (MI) have higher long-term all-cause and cardiovascular mortality. In addition, the observed increased, mildly abnormal baseline lipid levels, but not lipid variability, are associated with an increased risk of atherosclerotic cardiovascular disease events, particularly MI. This study investigated differentially expressed genes (DEGs), which might be potential targets for young patients with MI and a high-fat diet (HFD). GSE114695 and GSE69187 were downloaded and processed using the limma package. A Venn diagram was applied to identify the same DEGs, and further pathway analysis was performed using Metascape. Protein-protein interaction (PPI) network analysis was then applied, and the hub genes were screened out. Pivotal miRNAs were predicted and validated using the miRNA dataset in GSE114695. To investigate the cardiac function of the screened genes, an MI mouse model, echocardiogram, and ELISA of hub genes were applied, and a correlation analysis was also performed. From aged mice fed HFD, 138 DEGs were extracted. From aged mice fed with chow, 227 DEGs were extracted. Pathway enrichment analysis revealed that DEGs in aging mice fed HFD were enriched in lipid transport and lipid biosynthetic process 1 d after MI and in the MAPK signaling pathway at 1 w after MI, suggesting that HFD has less effect on aging with MI. A total of 148 DEGs were extracted from the intersection between plaques fed with HFD and chow in young mice and MI_1d, respectively, which demonstrated increased inflammatory and adaptive immune responses, in addition to myeloid leukocyte activation. A total of 183 DEGs were screened out between plaques fed with HFD vs. chow in young mice and MI_1w, respectively, which were mainly enriched in inflammatory response, cytokine production, and myeloid leukocyte activation. After validation, PAK3, CD44, CD5, SOCS3, VAV1, and PIK3CD were demonstrated to be negatively correlated with LVEF; however, P2RY1 was demonstrated to be positively correlated. This study demonstrated that the screened hub genes may be therapeutic targets for treating STEMI patients and preventing MI recurrence, especially in young MI patients with HFD or diabetes.
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spelling pubmed-86785572021-12-18 The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction Zheng, Yue Gong, Yijie Lang, Yuheng Qi, Zhenchang Hu, Xiaomin Li, Tong Dis Markers Research Article Young patients with type 2 diabetes and myocardial infarction (MI) have higher long-term all-cause and cardiovascular mortality. In addition, the observed increased, mildly abnormal baseline lipid levels, but not lipid variability, are associated with an increased risk of atherosclerotic cardiovascular disease events, particularly MI. This study investigated differentially expressed genes (DEGs), which might be potential targets for young patients with MI and a high-fat diet (HFD). GSE114695 and GSE69187 were downloaded and processed using the limma package. A Venn diagram was applied to identify the same DEGs, and further pathway analysis was performed using Metascape. Protein-protein interaction (PPI) network analysis was then applied, and the hub genes were screened out. Pivotal miRNAs were predicted and validated using the miRNA dataset in GSE114695. To investigate the cardiac function of the screened genes, an MI mouse model, echocardiogram, and ELISA of hub genes were applied, and a correlation analysis was also performed. From aged mice fed HFD, 138 DEGs were extracted. From aged mice fed with chow, 227 DEGs were extracted. Pathway enrichment analysis revealed that DEGs in aging mice fed HFD were enriched in lipid transport and lipid biosynthetic process 1 d after MI and in the MAPK signaling pathway at 1 w after MI, suggesting that HFD has less effect on aging with MI. A total of 148 DEGs were extracted from the intersection between plaques fed with HFD and chow in young mice and MI_1d, respectively, which demonstrated increased inflammatory and adaptive immune responses, in addition to myeloid leukocyte activation. A total of 183 DEGs were screened out between plaques fed with HFD vs. chow in young mice and MI_1w, respectively, which were mainly enriched in inflammatory response, cytokine production, and myeloid leukocyte activation. After validation, PAK3, CD44, CD5, SOCS3, VAV1, and PIK3CD were demonstrated to be negatively correlated with LVEF; however, P2RY1 was demonstrated to be positively correlated. This study demonstrated that the screened hub genes may be therapeutic targets for treating STEMI patients and preventing MI recurrence, especially in young MI patients with HFD or diabetes. Hindawi 2021-12-09 /pmc/articles/PMC8678557/ /pubmed/34925642 http://dx.doi.org/10.1155/2021/4300406 Text en Copyright © 2021 Yue Zheng et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zheng, Yue
Gong, Yijie
Lang, Yuheng
Qi, Zhenchang
Hu, Xiaomin
Li, Tong
The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction
title The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction
title_full The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction
title_fullStr The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction
title_full_unstemmed The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction
title_short The Key Genes Underlying Pathophysiology Association between Plaque Instability and Progression of Myocardial Infarction
title_sort key genes underlying pathophysiology association between plaque instability and progression of myocardial infarction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678557/
https://www.ncbi.nlm.nih.gov/pubmed/34925642
http://dx.doi.org/10.1155/2021/4300406
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