Immunogenicity of live phoP gene deletion strain of Riemerella anatipestifer serotype 1

Li, Jian; Zhang, Yanhao; Wang, Ying; Zhang, Yang; Shi, Bo; Gan, Luoxin; Yu, Shuang; Jia, Xiangchao; Yang, Kang; Li, Zili

doi:10.1016/j.psj.2022.102294

Cited by 3 publications

(4 citation statements)

References 45 publications

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“…In our experiment, the growth rates of ATCC 11845 and Ra37 were faster than that of S63 ( Figure 2 A), suggesting that S63 was cultivated under harsh conditions( Li et al, 2020 ; Li et al, 2023 ). There are a large number of R. anatipestifer bacterial genomes in the NCBI database, but very few of the R. anatipestifer strains are of chicken origin.…”

Section: Discussionmentioning

confidence: 61%

Genomic analysis and experimental pathogenic characterization of Riemerella anatipestifer isolates from chickens in China

Chen,

Li,

Liu

et al. 2024

Poultry Science

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Section: Discussionmentioning

confidence: 61%

Genomic analysis and experimental pathogenic characterization of Riemerella anatipestifer isolates from chickens in China

Chen,

Li,

Liu

et al. 2024

Poultry Science

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“…Research has shown that the PhoP/PhoR two-component system is closely related to the virulence of R. anatipestifer ( Wang et al, 2017 ; Zhang et al, 2022 ). Deletion mutants of the phoP gene can serve as candidate live vaccines that provide immune protection for ducklings ( Li et al, 2023 ). The proteins SspA and GldM of the Type IX secretion system have been confirmed to be associated with the pathogenicity of R. anatipestifer ( Chen et al, 2019 ; Chen et al, 2022 ).…”

Section: Discussionmentioning

confidence: 99%

Isolation, identification, and proteomic analysis of outer membrane vesicles of Riemerella anatipestifer SX-1

Wang,

Deng,

Wang

et al. 2024

Poultry Science

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“…What’s more, we explored the differences in the abundance of microbiome between the high and low-risk categories, and found that Riemerella had a significantly higher abundance in PC with high-risk scores and was linked to the poor outcome of PC. Riemerella is a Gram-negative rod-shaped bacterium that can cause acute infectious disease as well as an inflammatory response ( Afrin et al, 2018 ; Li et al, 2023 ). However, Riemerella has not been reported in PC.…”

Section: Discussionmentioning

confidence: 99%

“…An extremely dangerous tumour of the digestive tract, pancreatic cancer (PC) has a sneaky onset and quick progression. Clinical practise for PC lacks efficient therapeutic medications, and the prognosis is extremely poor (Chi et al, 2022a;Zhang B. et al, 2023). With over 459,000 new cases and 432,000 fatalities per year, epidemiological studies have shown that PC is the seventh greatest cause of cancer-related deaths globally (Ryan et al, 2014;Bray et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Integrated multi-omics identified the novel intratumor microbiome-derived subtypes and signature to predict the outcome, tumor microenvironment heterogeneity, and immunotherapy response for pancreatic cancer patients

Zhang,

Liu,

et al. 2023

Front. Pharmacol.

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Background: The extremely malignant tumour known as pancreatic cancer (PC) lacks efficient prognostic markers and treatment strategies. The microbiome is crucial to how cancer develops and responds to treatment. Our study was conducted in order to better understand how PC patients’ microbiomes influence their outcome, tumour microenvironment, and responsiveness to immunotherapy.Methods: We integrated transcriptome and microbiome data of PC and used univariable Cox regression and Kaplan–Meier method for screening the prognostic microbes. Then intratumor microbiome-derived subtypes were identified using consensus clustering. We utilized LASSO and Cox regression to build the microbe-related model for predicting the prognosis of PC, and utilized eight algorithms to assess the immune microenvironment feature. The OncoPredict package was utilized to predict drug treatment response. We utilized qRT-PCR to verify gene expression and single-cell analysis to reveal the composition of PC tumour microenvironment.Results: We obtained a total of 26 prognostic genera in PC. And PC samples were divided into two microbiome-related subtypes: Mcluster A and B. Compared with Mcluster A, patients in Mcluster B had a worse prognosis and higher TNM stage and pathological grade. Immune analysis revealed that neutrophils, regulatory T cell, CD8+ T cell, macrophages M1 and M2, cancer associated fibroblasts, myeloid dendritic cell, and activated mast cell had remarkably higher infiltrated levels within the tumour microenvironment of Mcluster B. Patients in Mcluster A were more likely to benefit from CTLA-4 blockers and were highly sensitive to 5-fluorouracil, cisplatin, gemcitabine, irinotecan, oxaliplatin, and epirubicin. Moreover, we built a microbe-derived model to assess the outcome. The ROC curves showed that the microbe-related model has good predictive performance. The expression of LAMA3 and LIPH was markedly increased within pancreatic tumour tissues and was linked to advanced stage and poor prognosis. Single-cell analysis indicated that besides cancer cells, the tumour microenvironment of PC was also rich in monocytes/macrophages, endothelial cells, and fibroblasts. LIPH and LAMA3 exhibited relatively higher expression in cancer cells and neutrophils.Conclusion: The intratumor microbiome-derived subtypes and signature in PC were first established, and our study provided novel perspectives on PC prognostic indicators and treatment options.

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Immunogenicity of live phoP gene deletion strain of Riemerella anatipestifer serotype 1

Cited by 3 publications

References 45 publications

Genomic analysis and experimental pathogenic characterization of Riemerella anatipestifer isolates from chickens in China

Genomic analysis and experimental pathogenic characterization of Riemerella anatipestifer isolates from chickens in China

Isolation, identification, and proteomic analysis of outer membrane vesicles of Riemerella anatipestifer SX-1

Integrated multi-omics identified the novel intratumor microbiome-derived subtypes and signature to predict the outcome, tumor microenvironment heterogeneity, and immunotherapy response for pancreatic cancer patients

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