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1.
Res Vet Sci ; 140: 233-241, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-34534905

RESUMO

In modern poultry production, stress-induced immunosuppression leads to serious economic losses and harm to animals, but the molecular mechanisms governing the effects of stress on the chicken thymus have not been elucidated. In this study, we successfully constructed a stress model of 7-day-old Gushi chickens by adding exogenous corticosterone (CORT) to their diet and determined the microRNA (miRNA) expression profile of thymus tissues using RNA-seq technology. The results identified 51 differentially expressed miRNAs (DEMs), including 30 upregulated miRNAs and 21 downregulated miRNAs. A total of 164 target genes of the DEMs were predicted based on bioinformatic analysis methods, and Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of these target genes were performed. The results from the GO enrichment analysis of the target genes identified 349 significantly enriched terms, including terms associated with the stress response and immune function that are primarily involved in the negative regulation of phagocytosis, the response to stress and the cellular response to stimulus. The KEGG pathway analysis indicated that the enriched pathways related to immunity or stress included the MAPK signaling pathway, lysosomes, endocytosis, and the RIG-I-like receptor signaling pathway. Among these pathways, DEMs (such as gga-miR-2954, gga-miR-106-5p, and gga-miR-16-5p) and corresponding target genes (such as IL11Ra, SIKE1, and CX3CL1) might be strongly correlated with thymic immunity in chickens. The results of this study provide a reference for further research on the molecular regulatory mechanisms governing the effect of stress on the immune function of the chicken thymus.


Assuntos
Galinhas , MicroRNAs , Animais , Galinhas/genética , Perfilação da Expressão Gênica/veterinária , Imunidade , MicroRNAs/genética , Transcriptoma
2.
Res Vet Sci ; 132: 318-327, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-32726728

RESUMO

The molecular mechanism of stress-induced immunosuppression (SIS) in certain poultry immune organs is not completely clear. In this study, we constructed a stress immunosuppression model by selecting 180 healthy 7-day-old Gushi chickens and dividing them randomly into two groups: a D_T group and a B_T group. The D_T group was given dexamethasone, and the B_T group was given normal saline, according to the treatment method established and reported in our previous study. Thymus samples were subsequently taken from both groups. RNA-seq was used to sequence the transcriptomes of the thymus samples from both groups, and 1278 significant differentially expressed genes (DEGs) were obtained, of which 845 genes were up-regulated and 433 genes were down-regulated (padj<0.05, |FC| ≥ 2, FPKM>1). We identified immune-related gene ontology (GO) terms including immune system processes, immune system process regulation, and T cell activation. The results of KEGG (http: //www.kegg.jp) analysis showed that the DEGs are involved in a variety of immune-related pathways, such as cytokine-cytokine receptor interactions, Jak-STAT signaling pathways, and cell adhesion molecules (CAMs). The cytokine-cytokine receptor interaction pathway involves the DEGs CCR6, CCR5, CD40LG and FAS. The DEGs in the Jak-STAT signaling pathway were SPRY2, BCL2L1. These DEGS play an important role in cell apoptosis. CD40L, CD8, among other genes, are involved in the CAMs pathway. The results of this study add to existing data on the genomic study of stress affecting immune function, and provide a basis for further studies of the molecular mechanisms of stress-influenced immune function.


Assuntos
Galinhas/metabolismo , Dexametasona/farmacologia , Perfilação da Expressão Gênica/veterinária , Terapia de Imunossupressão/veterinária , Timo/efeitos dos fármacos , Animais , Galinhas/genética , Regulação para Baixo , Regulação da Expressão Gênica/efeitos dos fármacos , Distribuição Aleatória , Timo/metabolismo , Transcriptoma
3.
Genes (Basel) ; 11(5)2020 05 06.
Artigo em Inglês | MEDLINE | ID: mdl-32384708

RESUMO

Stress-induced immunosuppression is a common problem in the poultry industry, but the specific mechanism of its effect on the immune function of chicken has not been clarified. In this study, 7-day-old Gushi cocks were selected as subjects, and a stress-induced immunosuppression model was successfully established via daily injection of 2.0 mg/kg (body weight) dexamethasone. We characterized the spleen transcriptome in the control (B_S) and model (D_S) groups, and 515 significant differentially expressed genes (SDEGs) (Fragments Per Kilobase of transcript sequence per Millions base pairs sequenced (FPKM) > 1, adjusted p-value (padj) < 0.05 and Fold change (|FC|) ≥ 2) were identified. The cytokine-cytokine receptor interaction signaling pathway was identified as being highly activated during stress-induced immunosuppression, including the following SDEGs-CXCL13L2, CSF3R, CSF2RB, CCR9, CCR10, IL1R1, IL8L1, IL8L2, GHR, KIT, OSMR, TNFRSF13B, TNFSF13B, and TGFBR2L. At the same time, immune-related SDEGs including CCR9, CCR10, DMB1, TNFRSF13B, TNFRSF13C and TNFSF13B were significantly enriched in the intestinal immune network for the IgA production signaling pathway. The SDEG protein-protein interaction module analysis showed that CXCR5, CCR8L, CCR9, CCR10, IL8L2, IL8L1, TNFSF13B, TNFRSF13B and TNFRSF13C may play an important role in stress-induced immunosuppression. These findings provide a background for further research on stress-induced immunosuppression. Thus, we can better understand the molecular genetic mechanism of chicken stress-induced immunosuppression.


Assuntos
Galinhas/genética , Dexametasona/farmacologia , Perfilação da Expressão Gênica , Imunossupressores/farmacologia , Baço/metabolismo , Animais , Glicemia/análise , Proteínas Sanguíneas/análise , Galinhas/imunologia , Galinhas/metabolismo , Corticosterona/sangue , Citocinas/genética , Citocinas/metabolismo , Regulação da Expressão Gênica , Ontologia Genética , Humanos , Imunoglobulina A/biossíntese , Masculino , Doenças das Aves Domésticas/genética , Doenças das Aves Domésticas/imunologia , Mapeamento de Interação de Proteínas , RNA Mensageiro/biossíntese , RNA Mensageiro/genética , RNA-Seq , Distribuição Aleatória , Receptores de Citocinas/genética , Receptores de Citocinas/metabolismo , Transdução de Sinais , Baço/efeitos dos fármacos , Estresse Fisiológico/genética , Estresse Fisiológico/imunologia
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