Dataset Information

Research Note: Expression of T cell-related cytokines in chicken cecal and spleen tissues following Eimeria tenella infection in vivo.

ABSTRACT: The T cell-mediated immune response plays an important role in coccidiosis. To reveal the host T cell immune response following Eimeria tenella (E. tenella) infection in chickens, we performed quantitative real-time PCR to analyze the dynamic expression of the Th1-related cytokines IFN-γ, IL-2, and IL-12; the Th17-related cytokines IL-17A, IL-17F, and IL-22; and the Treg-related cytokines IL-10, TGF-β, and CTLA-4 in the cecum and spleen at 0, 2, 4, 6, 8, and 10 d postinfection (dpi). In the cecal tissue, the expression of the Th1-related cytokine IFN-γ was significantly higher at 6 and 8 dpi than at other time points (11.97-fold and 39.78-fold, respectively, compared with 0 dpi, P < 0.05). IL-2 and IL-12 expression was significantly higher at 6 and 8 dpi than at 0, 2 and 10 dpi (P < 0.05). The expression of the Th17-related cytokines IL-17A and IL-17F at 2 and 4 dpi and IL-22 expression at 4 dpi were significantly higher than those at 0, 6, 8 and 10 dpi (P < 0.05). The expression of the Treg-related cytokines IL-10, TGF-β and CTLA-4 was significantly higher at 6 and 8 dpi than at 0, 2 and 4 dpi (P < 0.05). In the spleen, IFN-γ and IL-12 expression peaked at 4 dpi, while IL-2 expression peaked at 10 dpi. IL-17A, IL-17F and IL-22 expression was significantly higher at 2 and 4 dpi than at 0, 6, 8 and 10 dpi (P < 0.05). Treg-related cytokine TGF-β expression was almost unchanged and significantly decreased at only 4 dpi (P < 0.05), while CTLA-4 expression showed an overall decreasing trend from 0 to 8 dpi but increased significantly at 10 dpi (P < 0.05). The expression patterns of three T cell subset-related cytokines were different in the cecum and spleen. Furthermore, Th1 and Treg cells participate in the immune response mainly in the latter stage of coccidia infection (6 and 8 dpi), while Th17 cells play a role mainly in the early stages of infection (2 and 4 dpi). Our data will help to deepen the understanding of the complex T cell immune response after coccidia infection.

SUBMITTER: Yu H

PROVIDER: S-EPMC8170425 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IL-6, IL-8, and C-C motif chemokine ligand 2 (CCLi2) are important factors in inflammatory and immune responses. To investigate their relationships in the spleen and cecum and between coccidiosis-infected and uninfected states, we performed quantitative real-time PCR to compare the relative expression difference of IL-6, IL-8, and CCLi2 in the same tissues between the infection and control groups. In addition, the correlations of the relative expression levels of these 3 genes were determined in the same and different tissues within the same group. The results showed that the expression levels of IL-6, IL-8, and CCLi2 in the spleen and cecum of the infected group were all higher than those of the uninfected group (P < 0.05). The correlation coefficients among the IL-6, IL-8, and CCLi2 expression levels in the spleen or cecum were all positive in both the infection and control groups. In the spleen tissues, CCLi2 expression was strongly correlated with IL-6 and IL-8 in the uninfected group (P < 0.01), and the correlation coefficients reached 0.853 (R2 = 0.728) and 0.996 (R2 = 0.992), respectively. The expression of CCLi2 was also strongly correlated with IL-8 (R reached 0.890, R2 = 0.792) in the infected group. In the cecal tissues, the expression levels of the 3 genes were all extremely significantly correlated in the uninfected group (P < 0.01), and the correlation coefficients ranged from 0.498 to 0.765, indicating moderate correlations. The expression of IL-6 was extremely significantly positively correlated with IL-8 and CCLi2 in the infected group (P < 0.01), with moderate correlations (R ranged from 0.469-0.639). In addition, the expression levels of the 3 genes were not significantly correlated (P > 0.05) between the spleen and cecum tissues in either the infection group or the control group. These results indicate that IL-6, IL-8, and CCLi2 were correlated and play an important role in coccidiosis infection of Jinghai yellow chicken. Our data also provide a basis for further exploring the role of these 3 genes in genetic breeding for coccidiosis resistance.

Project description:The chicken microbiota is often analyzed to address questions about the effects of diet or disease on poultry health. To analyze the microbiota, bioinformatic platforms such as QIIME 2 and mothur are used, which incorporate public taxonomic databases such as Greengenes, the ribosomal database project (RDP), and SILVA to assign taxonomies to bacterial sequences. Many chicken microbiota studies continue to incorporate the Greengenes database, which has not been updated since 2013. To determine whether a choice of database could affect results, this study compared the results of bioinformatic analyses obtained using the Greengenes, RDP, and SILVA databases on a cecal luminal microbiome dataset. The QIIME 2 platform was used to process 16S bacterial sequences and assign taxonomies with Greengenes, RDP, and SILVA. Linear discriminant analysis effect size (LEfSe) was performed, allowing for the comparison of taxonomies considered significantly differentially abundant between the three databases. Some notable differences between databases were observed in results, in particular the ability of SILVA database to classify members of the family Lachnospiraceae into separate genera, while these members remained in one group of unclassified Lachnospiraceae through Greengenes and RDP. LEfSe analyses showed that the SILVA database produced more differentially abundant genera, in large part due to the classification of these separate Lachnospiraceae genera. Additionally, the relative abundance of unclassified Lachnospiraceae in SILVA results was significantly lower than in RDP results. Our results show the choice of taxonomic database can influence the results of a microbiota study at the genus level, potentially affecting the interpretation of the results. The use of the SILVA database is recommended over Greengenes in chicken microbiota studies, as more specific classifications at the genus level may provide more accurate interpretations of changes in the microbiota.

Dataset Information

Research Note: Expression of T cell-related cytokines in chicken cecal and spleen tissues following Eimeria tenella infection in vivo.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets