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FCGR2C: An emerging immune gene for predicting sepsis outcome

BACKGROUND: Sepsis is a life-threatening disease associated with immunosuppression. Immunosuppression could ultimately increase sepsis mortality. This study aimed to identify the prognostic biomarkers related to immunity in sepsis. METHODS: Public datasets of sepsis downloaded from the Gene Expressi...

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Autores principales: Liu, Si, Zhang, Yao Lu, Zhang, Lu Yao, Zhao, Guang Ju, Lu, Zhong Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757160/
https://www.ncbi.nlm.nih.gov/pubmed/36532072
http://dx.doi.org/10.3389/fimmu.2022.1028785
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author Liu, Si
Zhang, Yao Lu
Zhang, Lu Yao
Zhao, Guang Ju
Lu, Zhong Qiu
author_facet Liu, Si
Zhang, Yao Lu
Zhang, Lu Yao
Zhao, Guang Ju
Lu, Zhong Qiu
author_sort Liu, Si
collection PubMed
description BACKGROUND: Sepsis is a life-threatening disease associated with immunosuppression. Immunosuppression could ultimately increase sepsis mortality. This study aimed to identify the prognostic biomarkers related to immunity in sepsis. METHODS: Public datasets of sepsis downloaded from the Gene Expression Omnibus (GEO) database were divided into the discovery cohort and the first validation cohort. We used R software to screen differentially expressed genes (DEGs) and analyzed DEGs’ functional enrichment in the discovery dataset. Immune-related genes (IRGs) were filtered from the GeneCards website. A Lasso regression model was used to screen candidate prognostic genes from the intersection of DEGs and IRGs. Then, the candidate prognostic genes with significant differences were identified as prognostic genes in the first validation cohort. We further validated the expression of the prognostic genes in the second validation cohort of 81 septic patients recruited from our hospital. In addition, we used four immune infiltration methods (MCP-counter, ssGSEA, ImmuCellAI, and CIBERSORT) to analyze immune cell composition in sepsis. We also explored the correlation between the prognostic biomarker and immune cells. RESULTS: First, 140 genes were identified as prognostic-related immune genes from the intersection of DEGs and IRGs. We screened 18 candidate prognostic genes in the discovery cohort with the lasso regression model. Second, in the first validation cohort, we identified 4 genes (CFHR2, FCGR2C, GFI1, and TICAM1) as prognostic immune genes. Subsequently, we found that FCGR2C was the only gene differentially expressed between survivors and non-survivors in 81 septic patients. In the discovery and first validation cohorts, the AUC values of FCGR2C were 0.73 and 0.67, respectively. FCGR2C (AUC=0.84) had more value than SOFA (AUC=0.80) and APACHE II (AUC=0.69) in evaluating the prognosis of septic patients in our recruitment cohort. Moreover, FCGR2C may be closely related to many immune cells and functions, such as B cells, NK cells, neutrophils, cytolytic activity, and inflammatory promotion. Finally, enrichment analysis showed that FCGR2C was enriched in the phagosome signaling pathway. CONCLUSION: FCGR2C could be an immune biomarker associated with prognosis, which may be a new direction of immunotherapy to reduce sepsis mortality.
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spelling pubmed-97571602022-12-17 FCGR2C: An emerging immune gene for predicting sepsis outcome Liu, Si Zhang, Yao Lu Zhang, Lu Yao Zhao, Guang Ju Lu, Zhong Qiu Front Immunol Immunology BACKGROUND: Sepsis is a life-threatening disease associated with immunosuppression. Immunosuppression could ultimately increase sepsis mortality. This study aimed to identify the prognostic biomarkers related to immunity in sepsis. METHODS: Public datasets of sepsis downloaded from the Gene Expression Omnibus (GEO) database were divided into the discovery cohort and the first validation cohort. We used R software to screen differentially expressed genes (DEGs) and analyzed DEGs’ functional enrichment in the discovery dataset. Immune-related genes (IRGs) were filtered from the GeneCards website. A Lasso regression model was used to screen candidate prognostic genes from the intersection of DEGs and IRGs. Then, the candidate prognostic genes with significant differences were identified as prognostic genes in the first validation cohort. We further validated the expression of the prognostic genes in the second validation cohort of 81 septic patients recruited from our hospital. In addition, we used four immune infiltration methods (MCP-counter, ssGSEA, ImmuCellAI, and CIBERSORT) to analyze immune cell composition in sepsis. We also explored the correlation between the prognostic biomarker and immune cells. RESULTS: First, 140 genes were identified as prognostic-related immune genes from the intersection of DEGs and IRGs. We screened 18 candidate prognostic genes in the discovery cohort with the lasso regression model. Second, in the first validation cohort, we identified 4 genes (CFHR2, FCGR2C, GFI1, and TICAM1) as prognostic immune genes. Subsequently, we found that FCGR2C was the only gene differentially expressed between survivors and non-survivors in 81 septic patients. In the discovery and first validation cohorts, the AUC values of FCGR2C were 0.73 and 0.67, respectively. FCGR2C (AUC=0.84) had more value than SOFA (AUC=0.80) and APACHE II (AUC=0.69) in evaluating the prognosis of septic patients in our recruitment cohort. Moreover, FCGR2C may be closely related to many immune cells and functions, such as B cells, NK cells, neutrophils, cytolytic activity, and inflammatory promotion. Finally, enrichment analysis showed that FCGR2C was enriched in the phagosome signaling pathway. CONCLUSION: FCGR2C could be an immune biomarker associated with prognosis, which may be a new direction of immunotherapy to reduce sepsis mortality. Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9757160/ /pubmed/36532072 http://dx.doi.org/10.3389/fimmu.2022.1028785 Text en Copyright © 2022 Liu, Zhang, Zhang, Zhao and Lu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Liu, Si
Zhang, Yao Lu
Zhang, Lu Yao
Zhao, Guang Ju
Lu, Zhong Qiu
FCGR2C: An emerging immune gene for predicting sepsis outcome
title FCGR2C: An emerging immune gene for predicting sepsis outcome
title_full FCGR2C: An emerging immune gene for predicting sepsis outcome
title_fullStr FCGR2C: An emerging immune gene for predicting sepsis outcome
title_full_unstemmed FCGR2C: An emerging immune gene for predicting sepsis outcome
title_short FCGR2C: An emerging immune gene for predicting sepsis outcome
title_sort fcgr2c: an emerging immune gene for predicting sepsis outcome
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757160/
https://www.ncbi.nlm.nih.gov/pubmed/36532072
http://dx.doi.org/10.3389/fimmu.2022.1028785
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