Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Kai, Yang, Wentao, Wang, Shengxing, Sun, Mingsheng, Jin, Zhenyi, Zhang, Wangde, Ren, Hualiang, Li, Chunmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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
_version_ 1785098677922037760
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
work_keys_str_mv AT zhengkai identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT yangwentao identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT wangshengxing identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT sunmingsheng identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT jinzhenyi identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT zhangwangde identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT renhualiang identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques
AT lichunmin identificationofimmuneinfiltrationrelatedbiomarkersincarotidatheroscleroticplaques