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Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis

Melioidosis is a serious infectious disease caused by the environmental Gram-negative bacillus Burkholderia pseudomallei. It has been shown that the host immune system, mainly comprising various types of immune cells, fights against the disease. The present study was to specify correlation between s...

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Autores principales: Xu, Ke, Xu, Dahua, Pei, Hua, Quan, Yunfan, Liu, Jun, Yin, Li, Li, Xuexia, ShenTian, Li, Kongning, Xia, Qianfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528583/
https://www.ncbi.nlm.nih.gov/pubmed/34691288
http://dx.doi.org/10.1155/2021/6166492
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author Xu, Ke
Xu, Dahua
Pei, Hua
Quan, Yunfan
Liu, Jun
Yin, Li
Li, Xuexia
ShenTian,
Li, Kongning
Xia, Qianfeng
author_facet Xu, Ke
Xu, Dahua
Pei, Hua
Quan, Yunfan
Liu, Jun
Yin, Li
Li, Xuexia
ShenTian,
Li, Kongning
Xia, Qianfeng
author_sort Xu, Ke
collection PubMed
description Melioidosis is a serious infectious disease caused by the environmental Gram-negative bacillus Burkholderia pseudomallei. It has been shown that the host immune system, mainly comprising various types of immune cells, fights against the disease. The present study was to specify correlation between septicemic melioidosis and the levels of multiple immune cells. First, the genes with differential expression patterns between patients with septicemic melioidosis (B. pseudomallei) and health donors (control/healthy) were identified. These genes being related to cytokine binding, cell adhesion molecule binding, and MHC relevant proteins may influence immune response. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed 23 enriched immune response pathways. We further leveraged the microarray data to investigate the relationship between immune response and septicemic melioidosis, using the CIBERSORT analysis. Comparison of the percentages of 22 immune cell types in B. pseudomallei vs. control/healthy revealed that those of CD4 memory resting cells, CD8+ T cells, B memory cells, and CD4 memory activated cells were low, whereas those of M0 macrophages, neutrophils, and gamma delta T cells were high. The multivariate logistic regression analysis further revealed that CD8+ T cells, M0 macrophages, neutrophils, and naive CD4+ cells were strongly associated with the onset of septicemic melioidosis, and M2 macrophages and neutrophils were associated with the survival in septicemic melioidosis. Taken together, these data point to a complex role of immune cells on the development and progression of melioidosis.
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spelling pubmed-85285832021-10-21 Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis Xu, Ke Xu, Dahua Pei, Hua Quan, Yunfan Liu, Jun Yin, Li Li, Xuexia ShenTian, Li, Kongning Xia, Qianfeng Dis Markers Research Article Melioidosis is a serious infectious disease caused by the environmental Gram-negative bacillus Burkholderia pseudomallei. It has been shown that the host immune system, mainly comprising various types of immune cells, fights against the disease. The present study was to specify correlation between septicemic melioidosis and the levels of multiple immune cells. First, the genes with differential expression patterns between patients with septicemic melioidosis (B. pseudomallei) and health donors (control/healthy) were identified. These genes being related to cytokine binding, cell adhesion molecule binding, and MHC relevant proteins may influence immune response. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed 23 enriched immune response pathways. We further leveraged the microarray data to investigate the relationship between immune response and septicemic melioidosis, using the CIBERSORT analysis. Comparison of the percentages of 22 immune cell types in B. pseudomallei vs. control/healthy revealed that those of CD4 memory resting cells, CD8+ T cells, B memory cells, and CD4 memory activated cells were low, whereas those of M0 macrophages, neutrophils, and gamma delta T cells were high. The multivariate logistic regression analysis further revealed that CD8+ T cells, M0 macrophages, neutrophils, and naive CD4+ cells were strongly associated with the onset of septicemic melioidosis, and M2 macrophages and neutrophils were associated with the survival in septicemic melioidosis. Taken together, these data point to a complex role of immune cells on the development and progression of melioidosis. Hindawi 2021-10-13 /pmc/articles/PMC8528583/ /pubmed/34691288 http://dx.doi.org/10.1155/2021/6166492 Text en Copyright © 2021 Ke Xu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Ke
Xu, Dahua
Pei, Hua
Quan, Yunfan
Liu, Jun
Yin, Li
Li, Xuexia
ShenTian,
Li, Kongning
Xia, Qianfeng
Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis
title Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis
title_full Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis
title_fullStr Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis
title_full_unstemmed Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis
title_short Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis
title_sort whole blood transcriptome analysis reveals the correlation between specific immune cells and septicemic melioidosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528583/
https://www.ncbi.nlm.nih.gov/pubmed/34691288
http://dx.doi.org/10.1155/2021/6166492
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