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Wang B, Zheng H, Dong X, Zhang W, Wu J, Chen H, Zhang J, Zhou A. The Identification Distinct Antiviral Factors Regulated Influenza Pandemic H1N1 Infection. Int J Microbiol 2024; 2024:6631882. [PMID: 38229736 PMCID: PMC10791480 DOI: 10.1155/2024/6631882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 01/18/2024] Open
Abstract
Influenza pandemic with H1N1 (H1N1pdms) causes severe lung damage and "cytokine storm," leading to higher mortality and global health emergencies in humans and animals. Explaining host antiviral molecular mechanisms in response to H1N1pdms is important for the development of novel therapies. In this study, we organised and analysed multimicroarray data for mouse lungs infected with different H1N1pdm and nonpandemic H1N1 strains. We found that H1N1pdms infection resulted in a large proportion of differentially expressed genes (DEGs) in the infected lungs compared with normal lungs, and the number of DEGs increased markedly with the time of infection. In addition, we found that different H1N1pdm strains induced similarly innate immune responses and the identified DEGs during H1N1pdms infection were functionally concentrated in defence response to virus, cytokine-mediated signalling pathway, regulation of innate immune response, and response to interferon. Moreover, comparing with nonpandemic H1N1, we identified ten distinct DEGs (AREG, CXCL13, GATM, GPR171, IFI35, IFI47, IFIT3, ORM1, RETNLA, and UBD), which were enriched in immune response and cell surface receptor signalling pathway as well as interacted with immune response-related dysregulated genes during H1N1pdms. Our discoveries will provide comprehensive insights into host responding to pandemic with influenza H1N1 and find broad-spectrum effective treatment.
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Affiliation(s)
- Baoxin Wang
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
| | - Hao Zheng
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
| | - Xia Dong
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
| | - Wenhua Zhang
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
| | - Junjing Wu
- Hubei Key Laboratory of Animal Embryo and Molecular Breeding, Institute of Animal Husbandry and Veterinary, Hubei Provincial Academy of Agricultural Sciences, Wuhan, China
| | - Hongbo Chen
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
| | - Jing Zhang
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
| | - Ao Zhou
- School of Animal Science and Nutritional Engineering, Laboratory of Genetic Breeding, Reproduction and Precision Livestock Farming, Wuhan Polytechnic University, Wuhan 430023, Hubei, China
- Hubei Provincial Center of Technology Innovation for Domestic Animal Breeding, Wuhan 430023, Hubei, China
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Meng Y, Qiu X, Tang Z, Mao Y, Tan Y. Lactobacillus paracasei L9 affects disease progression in experimental autoimmune neuritis by regulating intestinal flora structure and arginine metabolism. J Neuroinflammation 2023; 20:122. [PMID: 37217991 DOI: 10.1186/s12974-023-02808-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 05/16/2023] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Autoimmune neuropathies are common peripheral nervous system (PNS) disorders. Environmental influences and dietary components are known to affect the course of autoimmune diseases. Intestinal microorganisms can be dynamically regulated through diet, and this study combines intestinal microorganisms with diseases to open up new therapeutic ideas. METHODS In Lewis rats, a model of EAN was established with P0 peptide, Lactobacillus were used as treatment, serum T-cell ratio, inflammatory factors, sciatic neuropathological changes, and pathological inflammatory effects on intestinal mucosa were detected, and fecal metabolomics and 16 s microbiome analysis were performed to further explore the mechanism. RESULTS In the EAN rat model, Lactobacillus paracasei L9 (LP) could dynamically regulate the CD4+/CD8+T balance in serum, reduce serum IL-1, IL-6 and TNF-α expression levels, improve sciatic nerve demyelination and inflammatory infiltration, and reduce nervous system score. In the rat model of EAN, intestinal mucosa was damaged. Occludin and ZO-1 were downregulated. IL-1, TNF-α and Reg3γ were upregulated. LP gavage induced intestinal mucosa recovery; occludin and ZO-1 upregulation; IL-1, TNF-α and Reg3γ downregulation. Finally, metabolomics and 16 s microbiome analysis were performed, and differential metabolites were enriched with an important metabolic pathway, arginine and proline metabolism. CONCLUSION LP improved EAN in rats by influencing intestinal community and the lysine and proline metabolism.
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Affiliation(s)
- Yuting Meng
- Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China
| | - Xiangjie Qiu
- Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China
| | - Zhongxiang Tang
- Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China
| | - Yu Mao
- Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China
| | - Yurong Tan
- Department of Medical Microbiology, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
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Kabat AM, Pearce EL, Pearce EJ. Metabolism in type 2 immune responses. Immunity 2023; 56:723-741. [PMID: 37044062 PMCID: PMC10938369 DOI: 10.1016/j.immuni.2023.03.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 03/11/2023] [Accepted: 03/15/2023] [Indexed: 04/14/2023]
Abstract
The immune response is tailored to the environment in which it takes place. Immune cells sense and adapt to changes in their surroundings, and it is now appreciated that in addition to cytokines made by stromal and epithelial cells, metabolic cues provide key adaptation signals. Changes in immune cell activation states are linked to changes in cellular metabolism that support function. Furthermore, metabolites themselves can signal between as well as within cells. Here, we discuss recent progress in our understanding of how metabolic regulation relates to type 2 immunity firstly by considering specifics of metabolism within type 2 immune cells and secondly by stressing how type 2 immune cells are integrated more broadly into the metabolism of the organism as a whole.
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Affiliation(s)
- Agnieszka M Kabat
- Bloomberg Kimmel Institute, and Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Erika L Pearce
- Bloomberg Kimmel Institute, and Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA
| | - Edward J Pearce
- Bloomberg Kimmel Institute, and Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21287, USA.
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