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Tang L, Liu X, Wang C, Shu C. USP18 promotes innate immune responses and apoptosis in influenza A virus-infected A549 cells via cGAS-STING pathway. Virology 2023; 585:240-247. [PMID: 37422930 DOI: 10.1016/j.virol.2023.06.012] [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: 04/12/2023] [Revised: 05/23/2023] [Accepted: 06/19/2023] [Indexed: 07/11/2023]
Abstract
Influenza A virus (IAV) can infect respiratory epithelial cells where it replicates, triggers cellular innate immune responses, and even induces cell apoptosis. Ubiquitin-specific peptidase 18 (USP18) was reported to be associated with IAV replication and immune response homeostasis. Therefore, this study aimed to investigate the role of USP18 in IAV-infected lung epithelial cells. The cell viability was determined by the CCK-8 method. Viral titers were quantified by standard plaque assay. Innate immune response-associated cytokines were detected by RT-qPCR and ELISA and cell apoptosis was assessed by flow cytometry. The results showed that overexpression of USP18 promoted viral replication, innate immune factor secretion and apoptosis in IAV-infected A549 cells. Mechanistically, USP18 reduced cGAS degradation by decreasing its K48-linked ubiquitination to promote IAV-induced cGAS-STING pathway activation. In conclusion, USP18 is a pathological mediator of IAV in lung epithelial cells.
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Affiliation(s)
- Li Tang
- Department of Infectious Diseases, Xi'an Children's Hospital, Xi'an, 710002, Shaanxi, China
| | - Xi Liu
- Department of Infectious Diseases, Xi'an Children's Hospital, Xi'an, 710002, Shaanxi, China
| | - Ce Wang
- Department of Infectious Diseases, Xi'an Children's Hospital, Xi'an, 710002, Shaanxi, China
| | - Chang Shu
- Department of Infectious Diseases, Xi'an Children's Hospital, Xi'an, 710002, Shaanxi, China.
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2
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Guo J, Huang W, Zhao X, Ji N, Chen K, Shi Y, Feng J, Zou J, Wang J. The expanded ISG12 family in zebrafish: ISG12.1 suppresses virus replication via targeting viral phosphoprotein. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2023; 142:104672. [PMID: 36822549 DOI: 10.1016/j.dci.2023.104672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/16/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
In mammals, interferon (IFN)-stimulated genes (ISGs) play important roles in restricting the replication of viruses. However, the functions of many ISGs have not been investigated in fish. In this study, eight isg12 homologs (termed isg12.1-8) were identified in zebrafish and all contain a typical ISG12 family domain rich of hydrophobic amino acid residues. Isg12.1-7 were significantly induced in the ZF4 cells by poly(I:C) and IFNφ1, and in the kidney and spleen after infection with spring viremia of carp virus (SVCV). In the EPC cells, overexpression of isg12.1 inhibited SVCV replication. Further, it was found that zebrafish ISG12.1 interacted with SVCV phosphoprotein (SVCV-P) and promoted SVCV-P degradation which could be attenuated by 3-MA and CQ (autophagy inhibitors). Our results indicate that zebrafish ISG12.1 restricts viral replication by targeting viral phosphoprotein for degradation.
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Affiliation(s)
- Jiahong Guo
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Wenji Huang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Xin Zhao
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Ning Ji
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Kangyong Chen
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Yanjie Shi
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Jianhua Feng
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China
| | - Jun Zou
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China; Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266200, China.
| | - Junya Wang
- Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of Education, Shanghai Ocean University, Shanghai, 201306, China; International Research Center for Marine Biosciences, Ministry of Science and Technology, Shanghai Ocean University, Shanghai, 201306, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, 201306, China.
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3
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Wang F, Guo Y, Liu Z, Wang Q, Jiang Y, Zhao G. New insights into the novel sequences of the chicken pan-genome by liquid chip. J Anim Sci 2022; 100:6759641. [PMID: 36223424 PMCID: PMC9733507 DOI: 10.1093/jas/skac336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/11/2022] [Indexed: 12/15/2022] Open
Abstract
Increasing evidence indicates that the missing sequences and genes in the chicken reference genome are involved in many crucial biological pathways, including metabolism and immunity. The low detection rate of novel sequences by resequencing hindered the acquisition of these sequences and the exploration of the relationship between new genes and economic traits. To improve the capture ratio of novel sequences, a 48K liquid chip including 25K from the reference sequence and 23K from the novel sequence was designed. The assay was tested on a panel of 218 animals from 5 chicken breeds. The average capture ratio of the reference sequence was 99.55%, and the average sequencing depth of the target sites was approximately 187X, indicating a good performance and successful application of liquid chips in farm animals. For the target region in the novel sequence, the average capture ratio was 33.15% and the average sequencing depth of target sites was approximately 60X, both of which were higher than that of resequencing. However, the different capture ratios and capture regions among varieties and individuals proved the difficulty of capturing these regions with complex structures. After genotyping, GWAS showed variations in novel sequences potentially relevant to immune-related traits. For example, a SNP close to the differentiation of lymphocyte-related gene IGHV3-23-like was associated with the H/L ratio. These results suggest that targeted capture sequencing is a preferred method to capture these sequences with complex structures and genes potentially associated with immune-related traits.
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Affiliation(s)
| | | | | | - Qiao Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
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4
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Wang S, Wan L, Ren H, Xie Z, Xie L, Huang J, Deng X, Xie Z, Luo S, Li M, Zeng T, Zhang Y, Zhang M. Screening of interferon-stimulated genes against avian reovirus infection and mechanistic exploration of the antiviral activity of IFIT5. Front Microbiol 2022; 13:998505. [PMID: 36187980 PMCID: PMC9520478 DOI: 10.3389/fmicb.2022.998505] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 08/29/2022] [Indexed: 11/25/2022] Open
Abstract
Avian reovirus (ARV) infection can lead to severe immunosuppression, complications, and secondary diseases, causing immense economic losses to the poultry industry. In-depth study of the mechanism by which the innate immune system combats ARV infection, especially the antiviral effect mediated by interferon, is needed to prevent and contain ARV infection. In this study, ARV strain S1133 was used to artificially infect 7-day-old specific pathogen–free chickens. The results indicated that ARV rapidly proliferated in the immune organs, including the spleen, bursa of Fabricius, and thymus. The viral load peaked early in the infection and led to varying degrees of pathological damage to tissues and organs. Real-time quantitative PCR revealed that the mRNA levels of interferon and multiple interferon-stimulated genes (ISGs) in the spleen, bursa of Fabricius, and thymus were upregulated to varying degrees in the early stage of infection. Among the ISGs, IFIT5, and Mx were the most upregulated in various tissues and organs, suggesting that they are important ISGs for host resistance to ARV infection. Further investigation of the role of IFIT5 in ARV infection showed that overexpression of the IFIT5 gene inhibited ARV replication, whereas inhibition of the endogenously expressed IFIT5 gene by siRNA promoted ARV replication. IFIT5 may be a positive feedback regulator of the innate immune signaling pathways during ARV infection and may induce IFN-α production by promoting the expression of MAD5 and MAVS to exert its antiviral effect. The results of this study help explain the innate immune regulatory mechanism of ARV infection and reveal the important role of IFIT5 in inhibiting ARV replication, which has important theoretical significance and practical application value for the prevention and control of ARV infection.
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5
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Li W, Wang H, Zheng SJ. Roles of RNA Sensors in Host Innate Response to Influenza Virus and Coronavirus Infections. Int J Mol Sci 2022; 23:8285. [PMID: 35955436 PMCID: PMC9368391 DOI: 10.3390/ijms23158285] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/22/2022] [Accepted: 07/23/2022] [Indexed: 11/16/2022] Open
Abstract
Influenza virus and coronavirus are two important respiratory viruses, which often cause serious respiratory diseases in humans and animals after infection. In recent years, highly pathogenic avian influenza virus (HPAIV) and SARS-CoV-2 have become major pathogens causing respiratory diseases in humans. Thus, an in-depth understanding of the relationship between viral infection and host innate immunity is particularly important to the stipulation of effective control strategies. As the first line of defense against pathogens infection, innate immunity not only acts as a natural physiological barrier, but also eliminates pathogens through the production of interferon (IFN), the formation of inflammasomes, and the production of pro-inflammatory cytokines. In this process, the recognition of viral pathogen-associated molecular patterns (PAMPs) by host pattern recognition receptors (PRRs) is the initiation and the most important part of the innate immune response. In this review, we summarize the roles of RNA sensors in the host innate immune response to influenza virus and coronavirus infections in different species, with a particular focus on innate immune recognition of viral nucleic acids in host cells, which will help to develop an effective strategy for the control of respiratory infectious diseases.
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Affiliation(s)
- Wei Li
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; (W.L.); (H.W.)
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Hongnuan Wang
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; (W.L.); (H.W.)
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Shijun J. Zheng
- Key Laboratory of Animal Epidemiology of the Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; (W.L.); (H.W.)
- Department of Preventive Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
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6
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Li M, Sun C, Xu N, Bian P, Tian X, Wang X, Wang Y, Jia X, Heller R, Wang M, Wang F, Dai X, Luo R, Guo Y, Wang X, Yang P, Hu D, Liu Z, Fu W, Zhang S, Li X, Wen C, Lan F, Siddiki AZ, Suwannapoom C, Zhao X, Nie Q, Hu X, Jiang Y, Yang N. De Novo Assembly of 20 Chicken Genomes Reveals the Undetectable Phenomenon for Thousands of Core Genes on Microchromosomes and Subtelomeric Regions. Mol Biol Evol 2022; 39:msac066. [PMID: 35325213 PMCID: PMC9021737 DOI: 10.1093/molbev/msac066] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
The gene numbers and evolutionary rates of birds were assumed to be much lower than those of mammals, which is in sharp contrast to the huge species number and morphological diversity of birds. It is, therefore, necessary to construct a complete avian genome and analyze its evolution. We constructed a chicken pan-genome from 20 de novo assembled genomes with high sequencing depth, and identified 1,335 protein-coding genes and 3,011 long noncoding RNAs not found in GRCg6a. The majority of these novel genes were detected across most individuals of the examined transcriptomes but were seldomly measured in each of the DNA sequencing data regardless of Illumina or PacBio technology. Furthermore, different from previous pan-genome models, most of these novel genes were overrepresented on chromosomal subtelomeric regions and microchromosomes, surrounded by extremely high proportions of tandem repeats, which strongly blocks DNA sequencing. These hidden genes were proved to be shared by all chicken genomes, included many housekeeping genes, and enriched in immune pathways. Comparative genomics revealed the novel genes had 3-fold elevated substitution rates than known ones, updating the knowledge about evolutionary rates in birds. Our study provides a framework for constructing a better chicken genome, which will contribute toward the understanding of avian evolution and the improvement of poultry breeding.
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Affiliation(s)
- Ming Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Congjiao Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China
| | - Naiyi Xu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Peipei Bian
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaomeng Tian
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xihong Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yuzhe Wang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
- National Research Facility for Phenotypic and Genotypic Analysis of Model Animals (Beijing), China Agricultural University, Beijing 100193, China
| | - Xinzheng Jia
- Department of Animal Science, Iowa State University, Ames, IA 50011, USA
- School of Life Science and Engineering, Foshan University, Foshan 528225, China
| | - Rasmus Heller
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen N 2200, Denmark
| | - Mingshan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 95064, USA
| | - Fei Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xuelei Dai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Rongsong Luo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Yingwei Guo
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiangnan Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Peng Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Dexiang Hu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Zhenyu Liu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Weiwei Fu
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Shunjin Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
| | - Xiaochang Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China
| | - Chaoliang Wen
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China
| | - Fangren Lan
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China
| | - Amam Zonaed Siddiki
- Department of Pathology and Parasitology, Faculty of Veterinary Medicine, Chittagong Veterinary and Animal Sciences University, Chittagong 4202, Bangladesh
| | | | - Xin Zhao
- Department of Animal Science, McGill University, Montreal, QC, Canada
| | - Qinghua Nie
- Department of Animal Genetics, Breeding and Reproduction, College of Animal Science, South China Agricultural University, Guangzhou 510642, Guangdong, China
| | - Xiaoxiang Hu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling 712100, China
- Center for Functional Genomics, Institute of Future Agriculture, Northwest A&F University, China
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100193, China
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7
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Liu H, Tian J, Lu K, Guan Z, Li Y, Cao X, Li X, Chang Z, Wang X, Sa X, Yang Z. Chicken ISG12(2) attenuates Newcastle disease virus and enhances the efficiency of Newcastle disease vaccine via activating immune pathways. Transbound Emerg Dis 2021; 69:2634-2648. [PMID: 34904395 DOI: 10.1111/tbed.14416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 10/31/2021] [Accepted: 11/30/2021] [Indexed: 11/30/2022]
Abstract
Low virulence and strong immunogenicity are quite important for Newcastle disease virus (NDV) producing Newcastle disease (ND) living-attenuated vaccine. However, immunogenicity of NDV positively correlates to its virulence. Usually, the velogenic NDV induces stronger immune responses of poultry than the lentogenic strain, but virulent NDV poses a risk for chicken. In this study, we identified the chicken interferon (IFN)-stimulated gene 12-2 (ISG12(2)) not only attenuated NDV, but also increased immunogenicity of ND vaccine strain. Firstly, we found that NDV infection or IFNs stimulation induced expression of chicken ISG12(2) that reinforced expression of IFNs. Overexpression or knockdown proved that chicken ISG12(2) inhibited NDV replication. Then, recombinant NDV LaSota strains (rLaSota/Fmut/ISG12(2) and rLaSota/ISG12(2)), expressing ISG12(2), were rescued. Pathogenicity tests showed that ISG12(2) expression attenuated NDV. RNA-seq or RT-qPCR demonstrated that, comparing to rLaSota/Fmut and rLaSota, rLaSota/Fmut/ISG12(2) and rLaSota/ISG12(2) induced hosts to produce cytokines enriching in innate and adaptive immune pathways in vitro and in vivo. Finally, we showed that rLaSota/ISG12(2) vaccination improved immune condition of chicken to quickly response NDV infection and then enhance protection. These results suggest that chicken ISG12(2) is a potential novel molecular adjuvant to regulate immune responses, which decrease virulence and increase immunogenicity of NDV. The chicken ISG12(2) may contribute to development of high efficient poultry vaccine. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Haijin Liu
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Jianxia Tian
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Kejia Lu
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Zhao Guan
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Yangyang Li
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xuhong Cao
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xiaoqin Li
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Zhengwu Chang
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xinglong Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Xiao Sa
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Zengqi Yang
- College of Veterinary Medicine, Northwest A&F University, Yangling, Shaanxi, 712100, China
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8
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Zamperin G, Bianco A, Smith J, Bortolami A, Vervelde L, Schivo A, Fortin A, Marciano S, Panzarin V, Mazzetto E, Milani A, Berhane Y, Digard P, Bonfante F, Monne I. Heterogeneity of Early Host Response to Infection with Four Low-Pathogenic H7 Viruses with a Different Evolutionary History in the Field. Viruses 2021; 13:2323. [PMID: 34835129 PMCID: PMC8620788 DOI: 10.3390/v13112323] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 12/15/2022] Open
Abstract
Once low-pathogenic avian influenza viruses (LPAIVs) of the H5 and H7 subtypes from wild birds enter into poultry species, there is the possibility of them mutating into highly pathogenic avian influenza viruses (HPAIVs), resulting in severe epizootics with up to 100% mortality. This mutation from a LPAIV to HPAIV strain is the main cause of an AIV's major economic impact on poultry production. Although AIVs are inextricably linked to their hosts in their evolutionary history, the contribution of host-related factors in the emergence of HPAI viruses has only been marginally explored so far. In this study, transcriptomic sequencing of tracheal tissue from chickens infected with four distinct LP H7 viruses, characterized by a different history of pathogenicity evolution in the field, was implemented. Despite the inoculation of a normalized infectious dose of viruses belonging to the same subtype (H7) and pathotype (LPAI), the use of animals of the same age, sex and species as well as the identification of a comparable viral load in the target samples, the analyses revealed a heterogeneity in the gene expression profile in response to infection with each of the H7 viruses administered.
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Affiliation(s)
- Gianpiero Zamperin
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Alice Bianco
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Jacqueline Smith
- Easter Bush Campus, The University of Edinburgh, Roslin EH25 9RG, UK; (J.S.); (L.V.); (P.D.)
| | - Alessio Bortolami
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Lonneke Vervelde
- Easter Bush Campus, The University of Edinburgh, Roslin EH25 9RG, UK; (J.S.); (L.V.); (P.D.)
| | - Alessia Schivo
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Andrea Fortin
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Sabrina Marciano
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Valentina Panzarin
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Eva Mazzetto
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Adelaide Milani
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Yohannes Berhane
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, 1015 Arlington, Winnipeg, MB R3E 3M4, Canada;
| | - Paul Digard
- Easter Bush Campus, The University of Edinburgh, Roslin EH25 9RG, UK; (J.S.); (L.V.); (P.D.)
| | - Francesco Bonfante
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
| | - Isabella Monne
- Istituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Legnaro, 35020 Padua, Italy; (A.B.); (A.B.); (A.S.); (A.F.); (S.M.); (V.P.); (E.M.); (A.M.); (F.B.); (I.M.)
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9
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Zhang Y, Xu Z, Cao Y. Host Antiviral Responses against Avian Infectious Bronchitis Virus (IBV): Focus on Innate Immunity. Viruses 2021; 13:1698. [PMID: 34578280 PMCID: PMC8473314 DOI: 10.3390/v13091698] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 08/12/2021] [Indexed: 12/26/2022] Open
Abstract
Avian infectious bronchitis virus (IBV) is an important gammacoronavirus. The virus is highly contagious, can infect chickens of all ages, and causes considerable economic losses in the poultry industry worldwide. In the last few decades, numerous studies have been published regarding pathogenicity, vaccination, and host immunity-virus interaction. In particular, innate immunity serves as the first line of defense against invasive pathogens and plays an important role in the pathogenetic process of IBV infection. This review focuses on fundamental aspects of host innate immune responses after IBV infection, including identification of conserved viral structures and different components of host with antiviral activity, which could provide useful information for novel vaccine development, vaccination strategies, and intervention programs.
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Affiliation(s)
| | | | - Yongchang Cao
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou 510006, China; (Y.Z.); (Z.X.)
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10
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Ichikawa K, Motoe Y, Ezaki R, Matsuzaki M, Horiuchi H. Knock-in of the duck retinoic acid-inducible gene I ( RIG-I) into the Mx gene in DF-1 cells enables both stable and immune response-dependent RIG-I expression. Biochem Biophys Rep 2021; 27:101084. [PMID: 34381879 PMCID: PMC8332658 DOI: 10.1016/j.bbrep.2021.101084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 07/17/2021] [Accepted: 07/19/2021] [Indexed: 12/28/2022] Open
Abstract
Waterfowls, such as ducks, are natural hosts of avian influenza virus (AIV) and can genetically limit the pathogenicity. On the other hand, some AIV strains cause severe pathogenicity in chickens. It is suggested that differences in the pathogenicity of AIV infection between waterfowls and chickens are related to the expression of retinoic acid-inducible gene I (RIG-I), a pattern recognition receptor that chickens evolutionally lack. Here, we knocked-in the duck RIG-I bearing the T2A peptide sequence at the 3′ region of the Mx, an interferon-stimulated gene (ISG), in chicken embryo fibroblast cells (DF-1) using the precise integration into target chromosome (PITCh) system to control the duck RIG-I expression in chickens. The expression patterns of the duck RIG-I were then analyzed using qPCR. The knocked-in DF-1 cells expressed RIG-I via the stimulation of IFN-β and poly(I:C) in a dose-dependent manner. Moreover, poly(I:C) stimulation in the knocked-in DF-1 cells upregulated RIG-I-like receptor (RLR) family signaling pathway-related genes IFN-β, OASL, and IRF7. The IFN-β-dependent expression of RIG-I and upregulation of IFN-β in the poly(I:C) stimulation demonstrated a positive-feedback loop via RIG-I, usually evident in ducks. Overall, this novel strategy established RIG-I-dependent immune response in chickens without overexpression of RIG-I and disruption of the host genes. RIG-I activates the innate immune response-related genes such as type I interferons. Loss of chicken RIG-I accounts for the pathogenicity of the avian influenza virus. This strategy controls RIG-I by host gene promoter activation via gene targeting. The knocked-in DF-1 cells express RIG-I upon IFN-β and poly (I:C) stimulation. A RIG-I-dependent immune response was observed without overexpression.
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Key Words
- AIV, avian influenza virus
- Avian influenza virus
- DSB, DNA double-strand break
- HPAIV, highly pathogenic avian influenza virus
- IFNs, interferons
- IRF7, interferon regulatory factor 7
- ISG, interferon-stimulated gene
- ISRE, IFN-stimulated response element
- Innate immune response
- Interferons
- Knock-in
- LPAIV, low pathogenic avian influenza virus
- MMEJ, microhomology-mediated end-joining
- OASL, 2′-5′-oligoadenylate synthase-like protein
- PITCh, precise integration into target chromosome
- Precise integration into target chromosome
- RIG-I, retinoic acid-inducible gene I
- RLR, RIG-I-like receptor
- Retinoic acid-inducible gene I
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Affiliation(s)
- Kennosuke Ichikawa
- Laboratory of Immunobiology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-4-4 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8528, Japan
| | - Yuzuha Motoe
- Laboratory of Immunobiology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-4-4 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8528, Japan
| | - Ryo Ezaki
- Laboratory of Immunobiology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-4-4 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8528, Japan
| | - Mei Matsuzaki
- Laboratory of Immunobiology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-4-4 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8528, Japan
| | - Hiroyuki Horiuchi
- Laboratory of Immunobiology, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-4-4 Kagamiyama, Higashi-Hiroshima, Hiroshima, 739-8528, Japan
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11
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Yu Y, Cheng L, Xu Z, Zhang Y, Ou C, Wang Q, Gao P, Ma J. Tissue distribution and developmental changes of interferon regulatory factors in chickens and effects of infectious bursal disease virus infection. Microb Pathog 2020; 152:104601. [PMID: 33137404 DOI: 10.1016/j.micpath.2020.104601] [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: 07/09/2020] [Revised: 10/25/2020] [Accepted: 10/26/2020] [Indexed: 10/23/2022]
Abstract
Interferon regulatory factors (IRFs) are a family of transcription factors that play a role in a variety of biological processes including immune regulation of interferon and expression of inflammatory cytokines. However, the data on IRFs are rather limited in chickens. In the present study, qRT-PCR was used to study the tissue distribution of IRFs in chickens at D15 (the 15th day of raising) and developmental changes of all chIRFs (Chicken interferon regulatory factors) in BF from E15 (the 15th day of incubation) to D15. The effects of IBDV infection with chickens on the transcriptional level of chIRFs were also investigated. The results showed: (1) chIRF1 mRNA was expressed much more abundantly in intestinal tract, chIRF2, chIRF6, chIRF7, chIRF8 and chIRF10 distributed mainly in liver or/and kidney. The expression of chIRF5 was mainly in spleen and chIRF4 distributed uniquely abundantly in BF. (2) The mRNA expression levels of chIRF5, chIRF7, chIRF8 and chIRF10 was low before hatching of chicken and at D1 and increased significantly from D5 till to the experiment end and the fold change of chIRF5 at D10 and chIRF7 at D5 reached 41.0-fold and 15.7-fold compared to that of E15, respectively (P < 0.05). ChIRF4 mRNA level was always high during the whole experiment except for E15 and it was 11.9-fold at the highest time point than that of E15 (the lowest time point). (3) When chicken was infected with IBDV, the expression levels of chIRF2, chIRF7 and chIRF10 mRNA had the tendency of increasing first and then decreasing but they peaked at 1dpi, 2 dpi, and 3dpi, respectively. The expression of chIRF5 mRNA was suppressed obviously during the whole experiment stage in IBDV-infected chicken. And chIRF4 expression was up-regulated transitorily at 1dpi and then was suppressed on a very low level till to the experiment end. Conclusion: The chIRFs were constitutively expressed in different tissues examined and has tissue-specific expression. Of them, chIRF2, chIRF4, chIRF5, chIRF7, chIRF8 and chIRF10 were related closely with the development or immune response of BF, and when chicken was infected with IBDV, some of them were activated, earlier or later on, some of them were suppressed. These findings would help to sieve out a few antiviral chIRF candidate gene to improve the host's innate immune and provide a foundation of the further exploiting a new vaccine adjuvant.
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Affiliation(s)
- Yan Yu
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Lingling Cheng
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Zhiyong Xu
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Yanhong Zhang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Changbo Ou
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Qiuxia Wang
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Pei Gao
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China
| | - Jinyou Ma
- College of Animal Science and Veterinary Medicine, Henan Institute of Science and Technology, Xinxiang, 453003, Henan, China.
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12
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Dai M, Li S, Keyi Shi, Sun H, Zhao L, Deshui Yu, Liao J, Xu C, Liao M. Comparative analysis of key immune protection factors in H9N2 avian influenza viruses infected and immunized specific pathogen-free chicken. Poult Sci 2020; 100:39-46. [PMID: 33357705 PMCID: PMC7772655 DOI: 10.1016/j.psj.2020.09.080] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/14/2020] [Accepted: 09/23/2020] [Indexed: 02/06/2023] Open
Abstract
H9N2 avian influenza viruses (AIV) continue to circulate in vaccinated chicken flocks in China, which prompted us to investigate the differential immune protection factors induced by H9N2 AIV infection and immunization for analyzing the reason of protection deficiency of H9N2 AIV inactivated vaccine. In this study, we firstly explored virus-induced optimal immune responses in chicken after H9N2 AIV infection. And, we found that H9N2 hemagglutination inhibition (HI) antibody level, antiviral interferon-stimulated genes including 2′,5’-oligoadenylate synthetase-like and myxovirus resistance 1, CD8+ T cell response in peripheral blood lymphocytes (PBL) accompanied by the cytotoxicity-associated genes, including poly (ADP-ribose) polymerase and IFN-r play important roles in defending against H9N2 infection. Besides, we observed that vaccine immunization triggered the similar H9N2 HI antibody level as viral infection, the increase of CD4+ T cell percentage instead of CD8+ T cell percentage in PBL. Moreover, we further made a comparative analysis of immune-related gene expression profile in PBL and lung after H9N2 AIV infection and immunization, respectively. The results showed that vaccine immunization contributed to the up-regulation of Th2 cytokine. But the deficiency of cytotoxicity-associated genes induced by H9N2 AIV inactivated vaccine may be the potential key reason of protection deficiency. These findings provide evidence and direction for developing effective H9N2 AIV vaccines.
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Affiliation(s)
- Manman Dai
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, People's Republic of China
| | - Shibing Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China
| | - Keyi Shi
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China
| | - Hui Sun
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China
| | - Li Zhao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China
| | - Deshui Yu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China
| | - Jiayu Liao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China
| | - Chenggang Xu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, People's Republic of China
| | - Ming Liao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, People's Republic of China.
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13
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Bouhaddou M, Memon D, Meyer B, White KM, Rezelj VV, Correa Marrero M, Polacco BJ, Melnyk JE, Ulferts S, Kaake RM, Batra J, Richards AL, Stevenson E, Gordon DE, Rojc A, Obernier K, Fabius JM, Soucheray M, Miorin L, Moreno E, Koh C, Tran QD, Hardy A, Robinot R, Vallet T, Nilsson-Payant BE, Hernandez-Armenta C, Dunham A, Weigang S, Knerr J, Modak M, Quintero D, Zhou Y, Dugourd A, Valdeolivas A, Patil T, Li Q, Hüttenhain R, Cakir M, Muralidharan M, Kim M, Jang G, Tutuncuoglu B, Hiatt J, Guo JZ, Xu J, Bouhaddou S, Mathy CJP, Gaulton A, Manners EJ, Félix E, Shi Y, Goff M, Lim JK, McBride T, O'Neal MC, Cai Y, Chang JCJ, Broadhurst DJ, Klippsten S, De Wit E, Leach AR, Kortemme T, Shoichet B, Ott M, Saez-Rodriguez J, tenOever BR, Mullins RD, Fischer ER, Kochs G, Grosse R, García-Sastre A, Vignuzzi M, Johnson JR, Shokat KM, Swaney DL, Beltrao P, Krogan NJ. The Global Phosphorylation Landscape of SARS-CoV-2 Infection. Cell 2020; 182:685-712.e19. [PMID: 32645325 PMCID: PMC7321036 DOI: 10.1016/j.cell.2020.06.034] [Citation(s) in RCA: 721] [Impact Index Per Article: 180.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 06/09/2020] [Accepted: 06/23/2020] [Indexed: 02/07/2023]
Abstract
The causative agent of the coronavirus disease 2019 (COVID-19) pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected millions and killed hundreds of thousands of people worldwide, highlighting an urgent need to develop antiviral therapies. Here we present a quantitative mass spectrometry-based phosphoproteomics survey of SARS-CoV-2 infection in Vero E6 cells, revealing dramatic rewiring of phosphorylation on host and viral proteins. SARS-CoV-2 infection promoted casein kinase II (CK2) and p38 MAPK activation, production of diverse cytokines, and shutdown of mitotic kinases, resulting in cell cycle arrest. Infection also stimulated a marked induction of CK2-containing filopodial protrusions possessing budding viral particles. Eighty-seven drugs and compounds were identified by mapping global phosphorylation profiles to dysregulated kinases and pathways. We found pharmacologic inhibition of the p38, CK2, CDK, AXL, and PIKFYVE kinases to possess antiviral efficacy, representing potential COVID-19 therapies.
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Affiliation(s)
- Mehdi Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Danish Memon
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Bjoern Meyer
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France
| | - Kris M White
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Veronica V Rezelj
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France
| | - Miguel Correa Marrero
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Benjamin J Polacco
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - James E Melnyk
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute
| | - Svenja Ulferts
- Institute for Clinical and Experimental Pharmacology and Toxicology, University of Freiburg, Freiburg 79104, Germany
| | - Robyn M Kaake
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jyoti Batra
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Alicia L Richards
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Erica Stevenson
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - David E Gordon
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ajda Rojc
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kirsten Obernier
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jacqueline M Fabius
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Margaret Soucheray
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Lisa Miorin
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Elena Moreno
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Cassandra Koh
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France
| | - Quang Dinh Tran
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France
| | - Alexandra Hardy
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France
| | - Rémy Robinot
- Virus & Immunity Unit, Department of Virology, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France; Vaccine Research Institute, 94000 Creteil, France
| | - Thomas Vallet
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France
| | | | - Claudia Hernandez-Armenta
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Alistair Dunham
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Sebastian Weigang
- Institute of Virology, Medical Center - University of Freiburg, Freiburg 79104, Germany
| | - Julian Knerr
- Institute for Clinical and Experimental Pharmacology and Toxicology, University of Freiburg, Freiburg 79104, Germany
| | - Maya Modak
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Diego Quintero
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Yuan Zhou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Aurelien Dugourd
- Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Alberto Valdeolivas
- Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Trupti Patil
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Qiongyu Li
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ruth Hüttenhain
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Merve Cakir
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Monita Muralidharan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Minkyu Kim
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Gwendolyn Jang
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Beril Tutuncuoglu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Joseph Hiatt
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jeffrey Z Guo
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jiewei Xu
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Sophia Bouhaddou
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA
| | - Christopher J P Mathy
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Bioengineering & Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Anna Gaulton
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Emma J Manners
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Eloy Félix
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ying Shi
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute
| | - Marisa Goff
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jean K Lim
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | | | | | | | | | | | | | - Emmie De Wit
- NIH/NIAID/Rocky Mountain Laboratories, Hamilton, MT 59840, USA
| | - Andrew R Leach
- European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Tanja Kortemme
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Bioengineering & Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Brian Shoichet
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA
| | - Melanie Ott
- J. David Gladstone Institutes, San Francisco, CA 94158, USA
| | - Julio Saez-Rodriguez
- Institute for Computational Biomedicine, Bioquant, Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Benjamin R tenOever
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - R Dyche Mullins
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute
| | | | - Georg Kochs
- Institute of Virology, Medical Center - University of Freiburg, Freiburg 79104, Germany; Faculty of Medicine, University of Freiburg, Freiburg 79008, Germany
| | - Robert Grosse
- Institute for Clinical and Experimental Pharmacology and Toxicology, University of Freiburg, Freiburg 79104, Germany; Faculty of Medicine, University of Freiburg, Freiburg 79008, Germany; Centre for Integrative Biological Signalling Studies (CIBSS), Freiburg 79104, Germany.
| | - Adolfo García-Sastre
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Global Health and Emerging Pathogens Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA; The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Marco Vignuzzi
- Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Institut Pasteur, 75724 Paris, Cedex 15, France.
| | - Jeffery R Johnson
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Kevan M Shokat
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute.
| | - Danielle L Swaney
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Pedro Beltrao
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; European Molecular Biology Laboratory (EMBL), European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
| | - Nevan J Krogan
- QBI COVID-19 Research Group (QCRG), San Francisco, CA 94158, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA 94158, USA; J. David Gladstone Institutes, San Francisco, CA 94158, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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14
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Systematic Identification of Host Immune Key Factors Influencing Viral Infection in PBL of ALV-J Infected SPF Chicken. Viruses 2020; 12:v12010114. [PMID: 31963363 PMCID: PMC7019883 DOI: 10.3390/v12010114] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 01/06/2020] [Accepted: 01/09/2020] [Indexed: 01/01/2023] Open
Abstract
Although research related to avian leukosis virus subgroup J (ALV-J) has lasted for more than a century, the systematic identification of host immune key factors against ALV-J infection has not been reported. In this study, we establish an infection model in which four-week-old SPF chickens are infected with ALV-J strain CHN06, after which the host immune response is detected. We found that the expression of two antiviral interferon-stimulated genes (ISGs) (Mx1 and IFIT5) were increased in ALV-J infected peripheral blood lymphocytes (PBL). A significant CD8+ T cell response induced by ALV-J appeared as early as seven days post-infection (DPI), and humoral immunity starting from 21 DPI differed greatly in the time scale of induction level. Meanwhile, the ALV-J viremia was significantly decreased before antibody production at 14 DPI, and eliminated at 21 DPI under a very low antibody level. The up-regulated CD8+ T cell in the thymus (14DPI) and PBL (7 DPI and 21 DPI) was detected, indicating that the thymus may provide the output of CD8+ T cell to PBL, which was related to virus clearance. Besides, up-regulated chemokine CXCLi1 at 7 DPI in PBL was observed, which may be related to the migration of the CD8+ T cell from the thymus to PBL. More importantly, the CD8 high+ T cell response of the CD8αβ phenotype may produce granzyme K, NK lysin, or IFN-γ for clearing viruses. These findings provide novel insights and direction for developing effective ALV-J vaccines.
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15
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Wang Y, Zhao H, Liu J, Shao Y, Xing M. Molecular cloning and transcriptional regulation of Indian peafowl (Pavo cristatus) IFN-α gene. Cell Stress Chaperones 2019; 24:323-332. [PMID: 30701479 PMCID: PMC6439081 DOI: 10.1007/s12192-018-00962-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 01/06/2023] Open
Abstract
Interferon-α (IFN-α) resists viral infections by triggering the transcription of a diverse range of antiviral IFN-stimulated genes (ISGs). However, information about the Indian peafowl (Pavo cristatus) IFN-α (PcIFN-α) has not been reported. In this study, a PcIFN-α gene was amplified, which encoded a protein of 193 amino acids with a 26-amino acid signal peptide sharing 72.16-95.70% identity with other avians in Aves. After expression in prokaryote, PcIFN-α was analyzed for its physicochemical property and antiviral activity. Intriguingly, compared with chicken IFN-α, an effective viral infection therapeutic agent, PcIFN-α showed superior anti-VSV, NDV, and AIV activities, which were then abrogated by rabbit anti-PcIFN-α antibodies in vitro. Moreover, PcIFN-α was shown to be highly sensitive to trypsin; however, it remained stable despite changes in pH and temperature. Additionally, PcIFN-α induced the transcriptional or translational levels of Mx1 and ISG12 genes time-dependently. Overall, the present study revealed that PcIFN-α is a potential novel effective therapeutic agent in antiviral defense responses in peafowl, improving understanding of its involvement in bird antiviral defense.
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Affiliation(s)
- Yu Wang
- College of Wildlife Resources, Northeast Forestry University, Harbin, 150040, Heilongjiang Province, China
| | - Hongjing Zhao
- College of Wildlife Resources, Northeast Forestry University, Harbin, 150040, Heilongjiang Province, China
| | - Juanjuan Liu
- College of Wildlife Resources, Northeast Forestry University, Harbin, 150040, Heilongjiang Province, China
| | - Yizhi Shao
- College of Wildlife Resources, Northeast Forestry University, Harbin, 150040, Heilongjiang Province, China
| | - Mingwei Xing
- College of Wildlife Resources, Northeast Forestry University, Harbin, 150040, Heilongjiang Province, China.
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16
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The Nucleolar Protein LYAR Facilitates Ribonucleoprotein Assembly of Influenza A Virus. J Virol 2018; 92:JVI.01042-18. [PMID: 30209172 PMCID: PMC6232469 DOI: 10.1128/jvi.01042-18] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 09/01/2018] [Indexed: 12/13/2022] Open
Abstract
Influenza A viral ribonucleoprotein (vRNP) is responsible for transcription and replication of the viral genome in infected cells and depends on host factors for its functions. Identification of the host factors interacting with vRNP not only improves understanding of virus-host interactions but also provides insights into novel mechanisms of viral pathogenicity and the development of new antiviral strategies. Here, we have identified 80 host factors that copurified with vRNP using affinity purification followed by mass spectrometry. LYAR, a cell growth-regulating nucleolar protein, has been shown to be important for influenza A virus replication. During influenza A virus infection, LYAR expression is increased and partly translocates from the nucleolus to the nucleoplasm and cytoplasm. Furthermore, LYAR interacts with RNP subunits, resulting in enhancing viral RNP assembly, thereby facilitating viral RNA synthesis. Taken together, our studies identify a novel vRNP binding host partner important for influenza A virus replication and further reveal the mechanism of LYAR regulating influenza A viral RNA synthesis by facilitating viral RNP assembly.IMPORTANCE Influenza A virus (IAV) must utilize the host cell machinery to replicate, but many of the mechanisms of IAV-host interaction remain poorly understood. Improved understanding of interactions between host factors and vRNP not only increases our basic knowledge of the molecular mechanisms of virus replication and pathogenicity but also provides insights into possible novel antiviral targets that are necessary due to the widespread emergence of drug-resistant IAV strains. Here, we have identified LYAR, a cell growth-regulating nucleolar protein, which interacts with viral RNP components and is important for efficient replication of IAVs and whose role in the IAV life cycle has never been reported. In addition, we further reveal the role of LYAR in viral RNA synthesis. Our results extend and improve current knowledge on the mechanisms of IAV transcription and replication.
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17
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Liu Y, Cheng Y, Shan W, Ma J, Wang H, Sun J, Yan Y. Chicken interferon regulatory factor 1 (IRF1) involved in antiviral innate immunity via regulating IFN-β production. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2018; 88:77-82. [PMID: 29981306 DOI: 10.1016/j.dci.2018.07.003] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 07/03/2018] [Accepted: 07/03/2018] [Indexed: 06/08/2023]
Abstract
Interferon regulatory factors (IRFs) is an important family for IFN expression regulating while viral infection. IRF1, IRF3, and IRF7 are the primary regulators that trigger type I IFN response in mammals. However, IRF3, which has been identified as the most critical regulator in mammals, is absent in chickens, and it is unknown whether IRF1 is involved in type I IFN signaling pathways in IRF3-deficient chicken cells. Here, we identified chicken IRF1 (chIRF1) as a critical IFN-β mediator in response to viral infection. Overexpression of chIRF1 activated IFN-β intensively and suppressed AIV and NDV viral replication. Moreover, the mRNA levels of IFN-β and ISGs increased during chIRF1 overexpression. In addition, deletion mutant analysis revealed that the first four domains of chIRF1 are indispensable for IFN-β induction. Together, our studies demonstrate that chIRF1 is an important regulator of IFN-β and is involved in chicken antiviral innate immunity.
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Affiliation(s)
- Yunxia Liu
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yuqiang Cheng
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Wenya Shan
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jingjiao Ma
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Hengan Wang
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jianhe Sun
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yaxian Yan
- Shanghai Key Laboratory of Veterinary Biotechnology, Key Laboratory of Urban Agriculture (South), Ministry of Agriculture, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
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18
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Luo C, Liu J, Qi W, Ren X, Lu R, Liao M, Ning Z. Dynamic analysis of expression of chemokine and cytokine gene responses to H5N1 and H9N2 avian influenza viruses in DF-1 cells. Microbiol Immunol 2018; 62:327-340. [PMID: 29577370 DOI: 10.1111/1348-0421.12588] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 02/02/2018] [Accepted: 03/14/2018] [Indexed: 11/28/2022]
Abstract
H5N1 and H9N2 are the most important causes of avian influenza in China. Chemokines and cytokines play important roles in inflammatory response that clearly differ between H5N1 and H9N2 infection. To investigate whether chemokines and cytokines are differentially regulated following H5N1 and H9N2 AIVs infection, dynamic expression of chemokines and cytokines, including IL8L1, IL8L2, CX3CL1, CCL5, CCL20, K203, SCYA4, XLC1, CCLi10, CCL19, IFN-α, IFN-β, IL-1β, IL-6 and TNF-α, were analyzed by real-time quantitative RT-PCR in DF-1 cells. It was found that IL8L1, IL8L2, CX3CL1, CCL5, CCL20, K203, SCYA4, IFN-α, IFN-β, IL-1β, IL-6 and TNF-α increased significantly after induction of H5N1 or H9N2 AIV infection, whereas no expression of XCL1, CCLi10 or CCL19 was detected. H9N2 AIV infection was associated with much stronger chemokine responses than infection with H5N1, whereas the cytokines showed opposite results. It was found that K203 is a constant chemotactic factor independent of subtype of AIVs and infectious dose, CCL20 and IL-1β are constant regardless of the infectious dose but depend on the subtype of AIV, chemotactic factors IL8L1, IL8L2 and CCL5 are dependent both on subtype of AIVs and infectious dose, and K203, CX3CL1, SCYA4, CCL20, IFN-α, IL-1β and TNF-α are specific to responses to H5N1 AIV infection whereas K203, CCL20, IFN-β, IL-1β and IL-6 are specific to H9N2 infection. These results provide basic data for explaining differences in inflammation and phenotypes of histopathological changes caused by H5N1 and H9N2 and add new information on the roles of chemokines and cytokines in virulence of AIVs.
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Affiliation(s)
- Chang Luo
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Jianxin Liu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Wenbao Qi
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Xujiao Ren
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Rong Lu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Ming Liao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Zhangyong Ning
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
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19
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Jia YQ, Wang XL, Wang XW, Yan CQ, Lv CJ, Li XQ, Chu ZL, Adam FEA, Xiao S, Zhang SX, Yang ZQ. Common microRNA⁻mRNA Interactions in Different Newcastle Disease Virus-Infected Chicken Embryonic Visceral Tissues. Int J Mol Sci 2018; 19:ijms19051291. [PMID: 29693643 PMCID: PMC5983721 DOI: 10.3390/ijms19051291] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Revised: 04/22/2018] [Accepted: 04/23/2018] [Indexed: 02/07/2023] Open
Abstract
To investigate the roles and explore the altered expression of microRNAs (miRNAs) and mRNAs in chicken embryos in response to Newcastle disease virus (NDV) infection, deep sequencing was performed. Then, a conjoint analysis of small RNA-seq and mRNA-seq was performed to screen interactional miRNA⁻mRNA pairs during NDV infection. In total, 15 and 17 up- and downregulated miRNAs were identified that potentially targeted 4279 and 6080 mRNAs in NDV-infected chicken embryonic tissues, respectively; in addition, 595 upregulated and 480 downregulated mRNAs were identified. The conjoint analysis of the obtained data identified 1069 miRNA⁻mRNA pairs. Among these pairs, 130 pairs were related to immune or inflammatory responses. The relationship between gga-miR-203a and its target transglutaminase 2 (TGM2) was confirmed using a dual-luciferase reporter system and a real time quantitative polymerase chain reaction (RT-qPCR) assay. Overall, the discovery of miRNAs, mRNAs, and their potential pairing relationships, which may be involved in the regulation of NDV infection, will facilitate our understanding of the complex regulatory relationship between the host and the virus.
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Affiliation(s)
- Yan-Qing Jia
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Xing-Long Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Xiang-Wei Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Chuan-Qi Yan
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Chang-Jie Lv
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Xiao-Qin Li
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Zhi-Li Chu
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Fathalrhman Eisa Addoma Adam
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
- Department of Preventive Medicine and Public Health, Faculty of Veterinary Science, University of Nyala, P.O. Box, 155 Nyala, Sudan.
| | - Sa Xiao
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Shu-Xia Zhang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
| | - Zeng-Qi Yang
- College of Veterinary Medicine, Northwest A&F University, Yangling 712100, China.
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20
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Zhao H, Wang Y, Shao Y, Liu J, Li J, Zong H, Xing M. Characterization of Whooper Swan (Cygnus cygnus) Interferon α: Prokaryotic Expression, Biological Activities, and Physicochemical Characteristics. J Interferon Cytokine Res 2018; 38:20-28. [DOI: 10.1089/jir.2017.0089] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Affiliation(s)
- Hongjing Zhao
- College of Wildlife Resources, Northeast Forestry University, Harbin, People's Republic of China
| | - Yu Wang
- College of Wildlife Resources, Northeast Forestry University, Harbin, People's Republic of China
| | - Yizhi Shao
- College of Wildlife Resources, Northeast Forestry University, Harbin, People's Republic of China
| | - Juanjuan Liu
- College of Wildlife Resources, Northeast Forestry University, Harbin, People's Republic of China
| | - Jinglun Li
- College of Wildlife Resources, Northeast Forestry University, Harbin, People's Republic of China
| | - Hui Zong
- Guangdong Vocational College of Science and Trade, Guangzhou, People's Republic of China
| | - Mingwei Xing
- College of Wildlife Resources, Northeast Forestry University, Harbin, People's Republic of China
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21
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Tanikawa T, Uchida Y, Saito T. Replication of a low-pathogenic avian influenza virus is enhanced by chicken ubiquitin-specific protease 18. J Gen Virol 2017; 98:2235-2247. [DOI: 10.1099/jgv.0.000890] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Taichiro Tanikawa
- Division of Transboundary Animal Disease, National Institute of Animal Health, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki 305–0856, Japan
| | - Yuko Uchida
- Division of Transboundary Animal Disease, National Institute of Animal Health, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki 305–0856, Japan
| | - Takehiko Saito
- Division of Transboundary Animal Disease, National Institute of Animal Health, National Agriculture and Food Research Organization (NARO), Kannondai, Tsukuba, Ibaraki 305–0856, Japan
- United Graduate School of Veterinary Sciences, Gifu University, 1-1 Yanagido, Gifu City 501-1193, Japan
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22
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Briata P, Bordo D, Puppo M, Gorlero F, Rossi M, Perrone-Bizzozero N, Gherzi R. Diverse roles of the nucleic acid-binding protein KHSRP in cell differentiation and disease. WILEY INTERDISCIPLINARY REVIEWS-RNA 2015; 7:227-40. [PMID: 26708421 DOI: 10.1002/wrna.1327] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 11/16/2015] [Accepted: 11/17/2015] [Indexed: 12/15/2022]
Abstract
The single-stranded nucleic acid-binding protein KHSRP (KH-type splicing regulatory protein) modulates RNA life and gene expression at various levels. KHSRP controls important cellular functions as different as proliferation, differentiation, metabolism, and response to infectious agents. We summarize and discuss experimental evidence providing a potential link between changes in KHSRP expression/function and human diseases including neuromuscular disorders, obesity, type II diabetes, and cancer.
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Affiliation(s)
- Paola Briata
- Gene Expression Regulation Laboratory, IRCCS AOU San Martino-IST, Genova, Italy
| | - Domenico Bordo
- Gene Expression Regulation Laboratory, IRCCS AOU San Martino-IST, Genova, Italy
| | - Margherita Puppo
- Gene Expression Regulation Laboratory, IRCCS AOU San Martino-IST, Genova, Italy
| | - Franco Gorlero
- S.C. Ginecologia e Ostetricia Galliera Hospital, Genova, Italy.,School of Medicine, DINOGMI, University of Genova, Genova, Italy
| | - Martina Rossi
- Gene Expression Regulation Laboratory, IRCCS AOU San Martino-IST, Genova, Italy
| | - Nora Perrone-Bizzozero
- Department of Neurosciences, School of Medicine, University of New Mexico, Albuquerque, NM, USA
| | - Roberto Gherzi
- Gene Expression Regulation Laboratory, IRCCS AOU San Martino-IST, Genova, Italy
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23
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Kim TH, Zhou H. Functional Analysis of Chicken IRF7 in Response to dsRNA Analog Poly(I:C) by Integrating Overexpression and Knockdown. PLoS One 2015; 10:e0133450. [PMID: 26186542 PMCID: PMC4505898 DOI: 10.1371/journal.pone.0133450] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Accepted: 06/25/2015] [Indexed: 12/13/2022] Open
Abstract
In order to develop novel strategies to protect against increasingly virulent bird-linked pathogens, a better understanding of the avian antiviral response mechanism is essential. Type I interferons (IFNs) are recognized as the first line of defense in a host's antiviral response; and it has been suggested that IRF7, a member of the IFN regulatory factor (IRF) family, plays an important role in modulating the immune response to avian influenza virus infection in chickens. The objective of this study was to identify candidate genes and pathways associated with IRF7 regulation at the transcriptome level as a first step towards elucidating the underlying cellular mechanisms of IRF7 modulation in the chicken antiviral response. IRF7 overexpression and knockdown DF-1 cell lines were established and stimulated by various pathogen-associated molecular patterns. Significant IRF7 and type I IFN expression changes were observed in both the IRF7 overexpression cell line and the IRF7 knockdown cell line upon exposure to the double stranded RNA (dsRNA) analog poly(I:C). Using RNA-seq based transcriptome analysis, we identified potential novel genes that IRF7 may help regulate as part of the host immune response to dsRNA; potential biomarkers and therapeutic targets revealed as a result of this study warrant further investigation. Based on our results, we suggest that IRF7 may have conserved functional activity in the avian antiviral response, and plays a crucial role in type I IFN regulation.
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Affiliation(s)
- Tae Hyun Kim
- Integrative Genetics and Genomics Graduate Group, Department of Animal Science, University of California, Davis, California, United States of America
| | - Huaijun Zhou
- Integrative Genetics and Genomics Graduate Group, Department of Animal Science, University of California, Davis, California, United States of America
- * E-mail:
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24
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Wang J, Tang C, Wang Q, Li R, Chen Z, Han X, Wang J, Xu X. Apoptosis induction and release of inflammatory cytokines in the oviduct of egg-laying hens experimentally infected with H9N2 avian influenza virus. Vet Microbiol 2015; 177:302-14. [DOI: 10.1016/j.vetmic.2015.04.005] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2014] [Revised: 03/31/2015] [Accepted: 04/04/2015] [Indexed: 02/04/2023]
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25
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GASPARINI R, AMICIZIA D, LAI P, BRAGAZZI N, PANATTO D. Compounds with anti-influenza activity: present and future of strategies for the optimal treatment and management of influenza. Part II: Future compounds against influenza virus. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2014; 55:109-29. [PMID: 26137785 PMCID: PMC4718316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
In the first part of this overview, we described the life cycle of the influenza virus and the pharmacological action of the currently available drugs. This second part provides an overview of the molecular mechanisms and targets of still-experimental drugs for the treatment and management of influenza. Briefly, we can distinguish between compounds with anti-influenza activity that target influenza virus proteins or genes, and molecules that target host components that are essential for viral replication and propagation. These latter compounds have been developed quite recently. Among the first group, we will focus especially on hemagglutinin, M2 channel and neuraminidase inhibitors. The second group of compounds may pave the way for personalized treatment and influenza management. Combination therapies are also discussed. In recent decades, few antiviral molecules against influenza virus infections have been available; this has conditioned their use during human and animal outbreaks. Indeed, during seasonal and pandemic outbreaks, antiviral drugs have usually been administered in mono-therapy and, sometimes, in an uncontrolled manner to farm animals. This has led to the emergence of viral strains displaying resistance, especially to compounds of the amantadane family. For this reason, it is particularly important to develop new antiviral drugs against influenza viruses. Indeed, although vaccination is the most powerful means of mitigating the effects of influenza epidemics, antiviral drugs can be very useful, particularly in delaying the spread of new pandemic viruses, thereby enabling manufacturers to prepare large quantities of pandemic vaccine. In addition, antiviral drugs are particularly valuable in complicated cases of influenza, especially in hospitalized patients. To write this overview, we mined various databases, including Embase, PubChem, DrugBank and Chemical Abstracts Service, and patent repositories.
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Affiliation(s)
- R. GASPARINI
- Correspondence: R. Gasparini, Department of Health Sciences of Genoa University, via Pastore 1, 16132 Genoa, Italy - E-mail:
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