Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses
Background. As a multifaceted disease, atherosclerosis is often characterized by the formation and accumulation of plaque anchored to the inner wall of the arteries and causes some cardiovascular diseases and vascular embolism. Numerous studies have reported on the pathogenesis of atherosclerosis. H...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Cardiovascular Therapeutics |
| Online Access: | http://dx.doi.org/10.1155/2020/1230513 |
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| author | Bin Zhao Dan Wang Yanling Liu Xiaohong Zhang Zheng Wan Jinling Wang Ting Su Linshan Duan Yan Wang Yuehua Zhang Yilin Zhao |
| author_facet | Bin Zhao Dan Wang Yanling Liu Xiaohong Zhang Zheng Wan Jinling Wang Ting Su Linshan Duan Yan Wang Yuehua Zhang Yilin Zhao |
| author_sort | Bin Zhao |
| collection | DOAJ |
| description | Background. As a multifaceted disease, atherosclerosis is often characterized by the formation and accumulation of plaque anchored to the inner wall of the arteries and causes some cardiovascular diseases and vascular embolism. Numerous studies have reported on the pathogenesis of atherosclerosis. However, fewer studies focused on both genes and immune cells, and the correlation of genes and immune cells was evaluated via comprehensive bioinformatics analyses. Methods. 29 samples of atherosclerosis-related gene expression profiling, including 16 human advanced atherosclerosis plaque (AA) and 13 human early atherosclerosis plaque (EA) samples from the Gene Expression Omnibus (GEO) database, were analyzed to get differentially expressed genes (DEGs) and the construction of protein and protein interaction (PPI) networks. Besides, we detected the relative fraction of 22 immune cell types in atherosclerosis by using the deconvolution algorithm of “cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT).” Ultimately, based on the significantly changed types of immune cells, we executed the correlation analysis between DEGs and immune cells to discover the potential genes and pathways associated with immune cells. Results. We identified 17 module genes and 6 types of significantly changed immune cells. Correlation analysis showed that the relative percentage of T cell CD8 has negative correlation with the C1QB expression (R=−0.63, p=0.02), and the relative percentage of macrophage M2 has positive correlation with the CD86 expression (R=0.57, p=0.041) in EA. Meanwhile, four gene expressions (CD53, C1QC, NCF2, and ITGAM) have a high correlation with the percentages of T cell CD8 and macrophages (M0 and M2) in AA samples. Conclusions. In this study, we suggested that the progression of atherosclerosis might be related to CD86, C1QB, CD53, C1QC, NCF2, and ITGAM and that it plays a role in regulating immune-competent cells such as T cell CD8 and macrophages M0 and M2. These results will enable studies of the potential genes associated with immune cells in the progression of atherosclerosis, as well as provide insight for discovering new treatments and drugs. |
| format | Article |
| id | doaj-art-d604792d81b8432994eb53a7f8c7510e |
| institution | Kabale University |
| issn | 1755-5914 1755-5922 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cardiovascular Therapeutics |
| spelling | doaj-art-d604792d81b8432994eb53a7f8c7510e2025-02-03T06:46:34ZengWileyCardiovascular Therapeutics1755-59141755-59222020-01-01202010.1155/2020/12305131230513Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics AnalysesBin Zhao0Dan Wang1Yanling Liu2Xiaohong Zhang3Zheng Wan4Jinling Wang5Ting Su6Linshan Duan7Yan Wang8Yuehua Zhang9Yilin Zhao10Department of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, ChinaSchool of Medicine, Xiamen University, Xiamen, Fujian, ChinaSchool of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, ChinaDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, ChinaDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, ChinaDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, Fujian, ChinaSchool of Medicine, Xiamen University, Xiamen, Fujian, ChinaSchool of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, ChinaMedical Reproductive Auxiliary Specialty, People’s Hospital of Jiuquan City, Gansu, ChinaLaboratory Animal Center, Xiamen University, Xiamen, Fujian, ChinaDepartment of Oncology and Vascular Interventional Radiology, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian, ChinaBackground. As a multifaceted disease, atherosclerosis is often characterized by the formation and accumulation of plaque anchored to the inner wall of the arteries and causes some cardiovascular diseases and vascular embolism. Numerous studies have reported on the pathogenesis of atherosclerosis. However, fewer studies focused on both genes and immune cells, and the correlation of genes and immune cells was evaluated via comprehensive bioinformatics analyses. Methods. 29 samples of atherosclerosis-related gene expression profiling, including 16 human advanced atherosclerosis plaque (AA) and 13 human early atherosclerosis plaque (EA) samples from the Gene Expression Omnibus (GEO) database, were analyzed to get differentially expressed genes (DEGs) and the construction of protein and protein interaction (PPI) networks. Besides, we detected the relative fraction of 22 immune cell types in atherosclerosis by using the deconvolution algorithm of “cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT).” Ultimately, based on the significantly changed types of immune cells, we executed the correlation analysis between DEGs and immune cells to discover the potential genes and pathways associated with immune cells. Results. We identified 17 module genes and 6 types of significantly changed immune cells. Correlation analysis showed that the relative percentage of T cell CD8 has negative correlation with the C1QB expression (R=−0.63, p=0.02), and the relative percentage of macrophage M2 has positive correlation with the CD86 expression (R=0.57, p=0.041) in EA. Meanwhile, four gene expressions (CD53, C1QC, NCF2, and ITGAM) have a high correlation with the percentages of T cell CD8 and macrophages (M0 and M2) in AA samples. Conclusions. In this study, we suggested that the progression of atherosclerosis might be related to CD86, C1QB, CD53, C1QC, NCF2, and ITGAM and that it plays a role in regulating immune-competent cells such as T cell CD8 and macrophages M0 and M2. These results will enable studies of the potential genes associated with immune cells in the progression of atherosclerosis, as well as provide insight for discovering new treatments and drugs.http://dx.doi.org/10.1155/2020/1230513 |
| spellingShingle | Bin Zhao Dan Wang Yanling Liu Xiaohong Zhang Zheng Wan Jinling Wang Ting Su Linshan Duan Yan Wang Yuehua Zhang Yilin Zhao Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses Cardiovascular Therapeutics |
| title | Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses |
| title_full | Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses |
| title_fullStr | Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses |
| title_full_unstemmed | Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses |
| title_short | Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses |
| title_sort | six gene signature associated with immune cells in the progression of atherosclerosis discovered by comprehensive bioinformatics analyses |
| url | http://dx.doi.org/10.1155/2020/1230513 |
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