Whole Blood Transcriptome Analysis Reveals the Correlation between Specific Immune Cells and Septicemic Melioidosis.
Ke XuDahua XuHua PeiYunfan QuanJun LiuLi YinXuexia Linull ShenTianKongning LiQianfeng XiaPublished in: Disease markers (2021)
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.
Keyphrases
- induced apoptosis
- immune response
- cell cycle arrest
- gram negative
- multidrug resistant
- endoplasmic reticulum stress
- genome wide
- healthcare
- public health
- single cell
- working memory
- heart rate
- dendritic cells
- gene expression
- signaling pathway
- oxidative stress
- inflammatory response
- cell adhesion
- electronic health record
- blood pressure
- dna methylation
- climate change
- cell proliferation
- data analysis
- binding protein
- human health
- bioinformatics analysis
- kidney transplantation