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Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis
BACKGROUND: Sepsis is one of the leading causes of morbidity and mortality worldwide in the intensive care unit (ICU). The prognosis of the disease strongly depends on rapid diagnosis and appropriate treatment. Thus, some new and accurate sepsis-related biomarkers are pressing needed and their effic...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272057/ https://www.ncbi.nlm.nih.gov/pubmed/35832273 http://dx.doi.org/10.3389/fpubh.2022.937303 |
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author | Li, Jun Zhou, Mi Feng, Jia-Qi Hong, Soon-Min Yang, Shao-Ying Zhi, Lang-Xian Lin, Wan-Yi Zhu, Cheng Yu, Yue-Tian Lu, Liang-Jing |
author_facet | Li, Jun Zhou, Mi Feng, Jia-Qi Hong, Soon-Min Yang, Shao-Ying Zhi, Lang-Xian Lin, Wan-Yi Zhu, Cheng Yu, Yue-Tian Lu, Liang-Jing |
author_sort | Li, Jun |
collection | PubMed |
description | BACKGROUND: Sepsis is one of the leading causes of morbidity and mortality worldwide in the intensive care unit (ICU). The prognosis of the disease strongly depends on rapid diagnosis and appropriate treatment. Thus, some new and accurate sepsis-related biomarkers are pressing needed and their efficiency should be carefully demonstrated. METHODS: Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were applied to detect sepsis and monocyte/macrophage-related genes. Least absolute shrinkage and selection operator (LASSO) and random forest regression analyses were used in combination to screen out prognostic genes. Single-cell RNA sequence profiling was utilized to further verify the expression of these genes on a single cell level. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were also applied to verify the diagnostic value of the target biomarkers. RESULTS: The intersections of the genes detected by differential expression and WGCNA analyses identified 141 overlapping candidate genes that were closely related to sepsis and macrophages. The LASSO and random forest regression analyses further screened out 17 prognostic genes. Single-cell RNA sequencing analysis detected that FCGR1A and BCL2A1 might be potential biomarkers for sepsis diagnosis and the diagnostic efficacy of BCL2A1 was further validated by ROC curve and DCA. CONCLUSIONS: It was revealed that BCL2A1 had good diagnostic and prognostic value for sepsis, and that it can be applied as a potential and novel biomarker for the management of the disease. |
format | Online Article Text |
id | pubmed-9272057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92720572022-07-12 Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis Li, Jun Zhou, Mi Feng, Jia-Qi Hong, Soon-Min Yang, Shao-Ying Zhi, Lang-Xian Lin, Wan-Yi Zhu, Cheng Yu, Yue-Tian Lu, Liang-Jing Front Public Health Public Health BACKGROUND: Sepsis is one of the leading causes of morbidity and mortality worldwide in the intensive care unit (ICU). The prognosis of the disease strongly depends on rapid diagnosis and appropriate treatment. Thus, some new and accurate sepsis-related biomarkers are pressing needed and their efficiency should be carefully demonstrated. METHODS: Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were applied to detect sepsis and monocyte/macrophage-related genes. Least absolute shrinkage and selection operator (LASSO) and random forest regression analyses were used in combination to screen out prognostic genes. Single-cell RNA sequence profiling was utilized to further verify the expression of these genes on a single cell level. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were also applied to verify the diagnostic value of the target biomarkers. RESULTS: The intersections of the genes detected by differential expression and WGCNA analyses identified 141 overlapping candidate genes that were closely related to sepsis and macrophages. The LASSO and random forest regression analyses further screened out 17 prognostic genes. Single-cell RNA sequencing analysis detected that FCGR1A and BCL2A1 might be potential biomarkers for sepsis diagnosis and the diagnostic efficacy of BCL2A1 was further validated by ROC curve and DCA. CONCLUSIONS: It was revealed that BCL2A1 had good diagnostic and prognostic value for sepsis, and that it can be applied as a potential and novel biomarker for the management of the disease. Frontiers Media S.A. 2022-06-27 /pmc/articles/PMC9272057/ /pubmed/35832273 http://dx.doi.org/10.3389/fpubh.2022.937303 Text en Copyright © 2022 Li, Zhou, Feng, Hong, Yang, Zhi, Lin, Zhu, Yu 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 | Public Health Li, Jun Zhou, Mi Feng, Jia-Qi Hong, Soon-Min Yang, Shao-Ying Zhi, Lang-Xian Lin, Wan-Yi Zhu, Cheng Yu, Yue-Tian Lu, Liang-Jing Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis |
title | Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis |
title_full | Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis |
title_fullStr | Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis |
title_full_unstemmed | Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis |
title_short | Bulk RNA Sequencing With Integrated Single-Cell RNA Sequencing Identifies BCL2A1 as a Potential Diagnostic and Prognostic Biomarker for Sepsis |
title_sort | bulk rna sequencing with integrated single-cell rna sequencing identifies bcl2a1 as a potential diagnostic and prognostic biomarker for sepsis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9272057/ https://www.ncbi.nlm.nih.gov/pubmed/35832273 http://dx.doi.org/10.3389/fpubh.2022.937303 |
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