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Correlation of caecal microbiome endotoxins genes and intestinal immune cells in Eimeria tenella infection based on bioinformatics
by
Liao, Jianzhao
, Han, Mingzheng
, Wu, Yijin
, Li, Jiale
in
Algorithms
/ Bacterial infections
/ Bioinformatics
/ Biomarkers
/ cecal microbial
/ Cecum
/ Cellular and Infection Microbiology
/ Computational Biology
/ CXCR4 protein
/ Eimeria tenella
/ Eimeria tenella - genetics
/ Endotoxins
/ Gene expression
/ Gene set enrichment analysis
/ Generalized linear models
/ GEO datasets
/ Homeostasis
/ Hypothesis testing
/ Immunity
/ Immunoregulation
/ Immunotherapy
/ intestinal immune cells
/ Intestinal microflora
/ Lymphocytes T
/ Macrophages
/ Microbiomes
/ Microbiota
/ Natural killer cells
/ Protein interaction
/ Regression analysis
/ Software packages
/ Tumor necrosis factor-TNF
2024
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Correlation of caecal microbiome endotoxins genes and intestinal immune cells in Eimeria tenella infection based on bioinformatics
by
Liao, Jianzhao
, Han, Mingzheng
, Wu, Yijin
, Li, Jiale
in
Algorithms
/ Bacterial infections
/ Bioinformatics
/ Biomarkers
/ cecal microbial
/ Cecum
/ Cellular and Infection Microbiology
/ Computational Biology
/ CXCR4 protein
/ Eimeria tenella
/ Eimeria tenella - genetics
/ Endotoxins
/ Gene expression
/ Gene set enrichment analysis
/ Generalized linear models
/ GEO datasets
/ Homeostasis
/ Hypothesis testing
/ Immunity
/ Immunoregulation
/ Immunotherapy
/ intestinal immune cells
/ Intestinal microflora
/ Lymphocytes T
/ Macrophages
/ Microbiomes
/ Microbiota
/ Natural killer cells
/ Protein interaction
/ Regression analysis
/ Software packages
/ Tumor necrosis factor-TNF
2024
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Correlation of caecal microbiome endotoxins genes and intestinal immune cells in Eimeria tenella infection based on bioinformatics
by
Liao, Jianzhao
, Han, Mingzheng
, Wu, Yijin
, Li, Jiale
in
Algorithms
/ Bacterial infections
/ Bioinformatics
/ Biomarkers
/ cecal microbial
/ Cecum
/ Cellular and Infection Microbiology
/ Computational Biology
/ CXCR4 protein
/ Eimeria tenella
/ Eimeria tenella - genetics
/ Endotoxins
/ Gene expression
/ Gene set enrichment analysis
/ Generalized linear models
/ GEO datasets
/ Homeostasis
/ Hypothesis testing
/ Immunity
/ Immunoregulation
/ Immunotherapy
/ intestinal immune cells
/ Intestinal microflora
/ Lymphocytes T
/ Macrophages
/ Microbiomes
/ Microbiota
/ Natural killer cells
/ Protein interaction
/ Regression analysis
/ Software packages
/ Tumor necrosis factor-TNF
2024
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Correlation of caecal microbiome endotoxins genes and intestinal immune cells in Eimeria tenella infection based on bioinformatics
Journal Article
Correlation of caecal microbiome endotoxins genes and intestinal immune cells in Eimeria tenella infection based on bioinformatics
2024
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Overview
The infection with
(ET) can elicit expression of various intestinal immune cells, incite inflammation, disrupt intestinal homeostasis, and facilitate co-infection with diverse bacteria. However, the reciprocal interaction between intestinal immune cells and intestinal flora in the progression of ET-infection remains unclear.
The aim of this study was to investigate the correlation between cecal microbial endotoxin (CME)-related genes and intestinal immunity in ET-infection, with subsequent identification of hub potential biomarker and immunotherapy target.
Differential expression genes (DEGs) within ET-infection and hub genes related to CME were identified through GSE39602 dataset based on bioinformatic methods and Protein-protein interaction (PPI) network analysis. Moreover, immune infiltration was analyzed by CIBERSORT method. Subsequently, comprehensive functional enrichment analyses employing Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis along with Gene Ontology (GO), gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA) were performed.
A total of 1089 DEGs and 25 hub genes were identified and CXCR4 was ultimately identified as a essential CME related potential biomarker and immunotherapy target in the ET-infection. Furthermore, activated natural killer cells, M0 macrophages, M2 macrophages, and T regulatory cells were identified as expressed intestinal immune cells. The functional enrichment analysis revealed that both DEGs and hub genes were significantly enriched in immune-related signaling pathways.
CXCR4 was identified as a pivotal CME-related potential biomarker and immunotherapy target for expression of intestinal immune cells during ET-infection. These findings have significant implications in elucidating the intricate interplay among ET-infection, CME, and intestinal immunity.
Publisher
Frontiers Media SA,Frontiers Media S.A
Subject
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