Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia

Background. Immunosuppression has a key function in sepsis pathogenesis, so it is of great significance to find immune-related markers for the treatment of sepsis. Methods. Datasets of community-acquired pneumonia (CAP) with sepsis from the ArrayExpress database were extracted. Differentially expres...

Full description

Bibliographic Details
Main Authors: Yanyan Li, Jiqin Wang, Yuzhen Li, Chunyan Liu, Xia Gong, Yifei Zhuang, Liang Chen, Keyu Sun
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2021/8020067
id doaj-fbfc8080d87b48c693e45faa86b477a5
record_format Article
spelling doaj-fbfc8080d87b48c693e45faa86b477a52021-09-06T00:00:23ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-67182021-01-01202110.1155/2021/8020067Identification of Immune-Related Genes in Sepsis due to Community-Acquired PneumoniaYanyan Li0Jiqin Wang1Yuzhen Li2Chunyan Liu3Xia Gong4Yifei Zhuang5Liang Chen6Keyu Sun7Department of EmergencyDepartment of EmergencyDepartment of EmergencyDepartment of EmergencyDepartment of EmergencyDepartment of EmergencyDepartment of Emergency MedicineDepartment of EmergencyBackground. Immunosuppression has a key function in sepsis pathogenesis, so it is of great significance to find immune-related markers for the treatment of sepsis. Methods. Datasets of community-acquired pneumonia (CAP) with sepsis from the ArrayExpress database were extracted. Differentially expressed genes (DEGs) between the CAP group and normal group by Limma package were performed. After calculation of immune score through the ESTIMATE algorithm, the DEGs were selected between the high immune score group and the low immune score group. Enrichment analysis of the intersected DEGs was conducted. Further, the protein-protein interaction (PPI) of the intersected DEGs was drawn by Metascape tools. Related publications of the key DEGs were searched in NCBI PubMed through Biopython models, and RT-qPCR was used to verify the expression of key genes. Results. 360 intersected DEGs (157 upregulated and 203 downregulated) were obtained between the two groups. Meanwhile, the intersected DEGs were enriched in 157 immune-related terms. The PPI of the DEGs was performed, and 8 models were obtained. In sepsis-related research, eight genes were obtained with degree≥10, included in the models. Conclusion. CXCR3, CCR7, HLA-DMA, and GPR18 might participate in the mechanism of CAP with sepsis.http://dx.doi.org/10.1155/2021/8020067
collection DOAJ
language English
format Article
sources DOAJ
author Yanyan Li
Jiqin Wang
Yuzhen Li
Chunyan Liu
Xia Gong
Yifei Zhuang
Liang Chen
Keyu Sun
spellingShingle Yanyan Li
Jiqin Wang
Yuzhen Li
Chunyan Liu
Xia Gong
Yifei Zhuang
Liang Chen
Keyu Sun
Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
Computational and Mathematical Methods in Medicine
author_facet Yanyan Li
Jiqin Wang
Yuzhen Li
Chunyan Liu
Xia Gong
Yifei Zhuang
Liang Chen
Keyu Sun
author_sort Yanyan Li
title Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
title_short Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
title_full Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
title_fullStr Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
title_full_unstemmed Identification of Immune-Related Genes in Sepsis due to Community-Acquired Pneumonia
title_sort identification of immune-related genes in sepsis due to community-acquired pneumonia
publisher Hindawi Limited
series Computational and Mathematical Methods in Medicine
issn 1748-6718
publishDate 2021-01-01
description Background. Immunosuppression has a key function in sepsis pathogenesis, so it is of great significance to find immune-related markers for the treatment of sepsis. Methods. Datasets of community-acquired pneumonia (CAP) with sepsis from the ArrayExpress database were extracted. Differentially expressed genes (DEGs) between the CAP group and normal group by Limma package were performed. After calculation of immune score through the ESTIMATE algorithm, the DEGs were selected between the high immune score group and the low immune score group. Enrichment analysis of the intersected DEGs was conducted. Further, the protein-protein interaction (PPI) of the intersected DEGs was drawn by Metascape tools. Related publications of the key DEGs were searched in NCBI PubMed through Biopython models, and RT-qPCR was used to verify the expression of key genes. Results. 360 intersected DEGs (157 upregulated and 203 downregulated) were obtained between the two groups. Meanwhile, the intersected DEGs were enriched in 157 immune-related terms. The PPI of the DEGs was performed, and 8 models were obtained. In sepsis-related research, eight genes were obtained with degree≥10, included in the models. Conclusion. CXCR3, CCR7, HLA-DMA, and GPR18 might participate in the mechanism of CAP with sepsis.
url http://dx.doi.org/10.1155/2021/8020067
work_keys_str_mv AT yanyanli identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT jiqinwang identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT yuzhenli identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT chunyanliu identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT xiagong identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT yifeizhuang identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT liangchen identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
AT keyusun identificationofimmunerelatedgenesinsepsisduetocommunityacquiredpneumonia
_version_ 1717780329286074368