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Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques
Atherosclerosis is a chronic lipid-driven inflammatory response of the innate and adaptive immune systems, and it is responsible for several cardiovascular ischemic events. The present study aimed to determine immune infiltration-related biomarkers in carotid atherosclerotic plaques (CAPs). Gene exp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465496/ https://www.ncbi.nlm.nih.gov/pubmed/37644056 http://dx.doi.org/10.1038/s41598-023-40530-w |
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author | Zheng, Kai Yang, Wentao Wang, Shengxing Sun, Mingsheng Jin, Zhenyi Zhang, Wangde Ren, Hualiang Li, Chunmin |
author_facet | Zheng, Kai Yang, Wentao Wang, Shengxing Sun, Mingsheng Jin, Zhenyi Zhang, Wangde Ren, Hualiang Li, Chunmin |
author_sort | Zheng, Kai |
collection | PubMed |
description | Atherosclerosis is a chronic lipid-driven inflammatory response of the innate and adaptive immune systems, and it is responsible for several cardiovascular ischemic events. The present study aimed to determine immune infiltration-related biomarkers in carotid atherosclerotic plaques (CAPs). Gene expression profiles of CAPs were extracted from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between the CAPs and control groups were screened by the “limma” package in R software. Immune cell infiltration between the CAPs and control groups was evaluated by the single sample gene set enrichment analysis. Key infiltrating immune cells in the CAPs group were screened by the Wilcoxon test and least absolute shrinkage and selection operator regression. The weighted gene co-expression network analysis was used to identify immune cell-related genes. Hub genes were identified by the protein–protein interaction (PPI) network. Receiver operating characteristic curve analysis was performed to assess the gene’s ability to differentiate between the CAPs and control groups. Finally, we constructed a miRNA-gene-transcription factor network of hub genes by using the ENCODE database. Eleven different types of immune infiltration-related cells were identified between the CAPs and control groups. A total of 1,586 differentially expressed immunity-related genes were obtained through intersection between DEGs and immune-related genes. Twenty hub genes were screened through the PPI network. Eventually, 7 genes (BTK, LYN, PTPN11, CD163, CD4, ITGAL, and ITGB7) were identified as the hub genes of CAPs, and these genes may serve as the estimable drug targets for patients with CAPs. |
format | Online Article Text |
id | pubmed-10465496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104654962023-08-31 Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques Zheng, Kai Yang, Wentao Wang, Shengxing Sun, Mingsheng Jin, Zhenyi Zhang, Wangde Ren, Hualiang Li, Chunmin Sci Rep Article Atherosclerosis is a chronic lipid-driven inflammatory response of the innate and adaptive immune systems, and it is responsible for several cardiovascular ischemic events. The present study aimed to determine immune infiltration-related biomarkers in carotid atherosclerotic plaques (CAPs). Gene expression profiles of CAPs were extracted from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between the CAPs and control groups were screened by the “limma” package in R software. Immune cell infiltration between the CAPs and control groups was evaluated by the single sample gene set enrichment analysis. Key infiltrating immune cells in the CAPs group were screened by the Wilcoxon test and least absolute shrinkage and selection operator regression. The weighted gene co-expression network analysis was used to identify immune cell-related genes. Hub genes were identified by the protein–protein interaction (PPI) network. Receiver operating characteristic curve analysis was performed to assess the gene’s ability to differentiate between the CAPs and control groups. Finally, we constructed a miRNA-gene-transcription factor network of hub genes by using the ENCODE database. Eleven different types of immune infiltration-related cells were identified between the CAPs and control groups. A total of 1,586 differentially expressed immunity-related genes were obtained through intersection between DEGs and immune-related genes. Twenty hub genes were screened through the PPI network. Eventually, 7 genes (BTK, LYN, PTPN11, CD163, CD4, ITGAL, and ITGB7) were identified as the hub genes of CAPs, and these genes may serve as the estimable drug targets for patients with CAPs. Nature Publishing Group UK 2023-08-29 /pmc/articles/PMC10465496/ /pubmed/37644056 http://dx.doi.org/10.1038/s41598-023-40530-w Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zheng, Kai Yang, Wentao Wang, Shengxing Sun, Mingsheng Jin, Zhenyi Zhang, Wangde Ren, Hualiang Li, Chunmin Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
title | Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
title_full | Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
title_fullStr | Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
title_full_unstemmed | Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
title_short | Identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
title_sort | identification of immune infiltration-related biomarkers in carotid atherosclerotic plaques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465496/ https://www.ncbi.nlm.nih.gov/pubmed/37644056 http://dx.doi.org/10.1038/s41598-023-40530-w |
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