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Yin H, Li S, Chai C, Zhang F, Ma Y, Wu Y, Fu C, Diao Y, Zhou Y, Zhang J, Niu R, Wang W. Biological activity of recombinant bovine IFN-α and inhibitory effect on BVDV in vitro. Microb Pathog 2023:106155. [PMID: 37301331 DOI: 10.1016/j.micpath.2023.106155] [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: 01/25/2023] [Revised: 04/19/2023] [Accepted: 05/11/2023] [Indexed: 06/12/2023]
Abstract
Type I interferon has great broad-spectrum antiviral ability and immunomodulatory function, and its receptors are expressed in almost all types of cells. Bovine viral diarrhea virus (BVDV) is an important pathogen causing significant economic losses in cattle. In this study, a recombinant expression plasmid carrying bovine interferon-α(BoIFN-α)gene was constructed and transformed into E. coli BL21 (DE3) competent cells. SDS-PAGE and Westernblotting analysis showed that the recombinant BoIFN-α protein (rBoIFN-α) was successfully expressed. It is about 36KD and exists in the form of inclusion body. When denatured, purified and renatured rBoIFN-α protein stimulated MDBK cells, the expression of interferon stimulating genes (ISGs) such as ISG15, OAS1, IFIT1, Mx1 and IFITM1 were significantly up-regulated, and reached the peak at 12 h (P< 0.001). MDBK cells were infected with BVDV with moi of 0.1 and 1.0, respectively. The virus proliferation was observed after pretreatment with rBoIFN-α protein and post-infection treatment. The results showed that the denatured, purified and renatured BoIFN-α protein had good biological activity and could inhibit the replication of BVDV in MDBK cells in vitro, which provided a basis for BoIFN-α as an antiviral drug, immune enhancer and clinical application of BVDV.
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Affiliation(s)
- Hua Yin
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Shaowei Li
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Chunxia Chai
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Fan Zhang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China; Veterinary Research Institute, Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences, Hohhot, China
| | - Yanhua Ma
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China; Basic Medical School, Inner Mongolia Medical University, Hohhot, 010000, China
| | - Youzhi Wu
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Cun Fu
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Yun Diao
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Yanyan Zhou
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Jinlong Zhang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Rui Niu
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China
| | - Wei Wang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, 010000, China.
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Song Q, Zhao X, Cao C, Duan M, Shao C, Jiang S, Zhou B, Zhou Y, Dong W, Yang Y, Wang X, Song H. Research advances on interferon (IFN) response during BVDV infection. Res Vet Sci 2022; 149:151-158. [DOI: 10.1016/j.rvsc.2022.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 03/21/2022] [Accepted: 04/05/2022] [Indexed: 11/28/2022]
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Akache B, Stark FC, Agbayani G, Renner TM, McCluskie MJ. Adjuvants: Engineering Protective Immune Responses in Human and Veterinary Vaccines. Methods Mol Biol 2022; 2412:179-231. [PMID: 34918246 DOI: 10.1007/978-1-0716-1892-9_9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Adjuvants are key components of many vaccines, used to enhance the level and breadth of the immune response to a target antigen, thereby enhancing protection from the associated disease. In recent years, advances in our understanding of the innate and adaptive immune systems have allowed for the development of a number of novel adjuvants with differing mechanisms of action. Herein, we review adjuvants currently approved for human and veterinary use, describing their use and proposed mechanisms of action. In addition, we will discuss additional promising adjuvants currently undergoing preclinical and/or clinical testing.
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Affiliation(s)
- Bassel Akache
- Human Health Therapeutics, National Research Council Canada, Ottawa, ON, Canada
| | - Felicity C Stark
- Human Health Therapeutics, National Research Council Canada, Ottawa, ON, Canada
| | - Gerard Agbayani
- Human Health Therapeutics, National Research Council Canada, Ottawa, ON, Canada
| | - Tyler M Renner
- Human Health Therapeutics, National Research Council Canada, Ottawa, ON, Canada
| | - Michael J McCluskie
- Human Health Therapeutics, National Research Council Canada, Ottawa, ON, Canada.
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Use of multivariate analysis to evaluate antigenic relationships between US BVDV vaccine strains and non-US genetically divergent isolates. J Virol Methods 2021; 299:114328. [PMID: 34710497 DOI: 10.1016/j.jviromet.2021.114328] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/27/2021] [Accepted: 10/08/2021] [Indexed: 01/21/2023]
Abstract
Bovine viral diarrhea virus (BVDV) comprises two species, BVDV-1 and BVDV-2. But given the genetic diversity among pestiviruses, at least 22 subgenotypes are described for BVDV-1 and 3-4 for BVDV-2. Genetic characterization is generally accomplished through complete or partial sequencing and phylogeny, but it is not a reliable method to define antigenic relationships. The traditional method for evaluating antigenic relationships between pestivirus isolates is the virus neutralization (VN) assay, but interpretation of the data to define antigenic relatedness can be difficult to discern for BVDV isolates within the same BVDV species. Data from this study utilized a multivariate analysis for visualization of VN results to analyze the antigenic relationships between US vaccine strains and field isolates from Switzerland, Italy, Brazil, and the UK. Polyclonal sera were generated against six BVDV strains currently contained in vaccine formulations, and each serum was used in VNs to measure the titers against seven vaccine strains (including the six homologous strains) and 23 BVDV field isolates. Principal component analysis (PCA) was performed using VN titers, and results were interpreted from PCA clustering within the PCA dendrogram and scatter plot. The results demonstrated clustering patterns among various isolates suggesting antigenic relatedness. As expected, the BVDV-1 and BVDV-2 isolates did not cluster together and had the greatest spatial distribution. Notably, a number of clusters representing antigenically related BVDV-1 subgroups contain isolates of different subgenotypes. The multivariate analysis may be a method to better characterize antigenic relationships among BVDV isolates that belong to the same BVDV species and do not have distinct antigenic differences. This might be an invaluable tool to ameliorate the composition of current vaccines, which might well be important for the success of any BVDV control program that includes vaccination in its scheme.
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Jokar M, Rahmanian V, Farhoodi M, Abdous A, Shams F, Karami N. Seroprevalence of bovine viral diarrhea virus (BVDV) infection in cattle population in Iran: a systematic review and meta-analysis. Trop Anim Health Prod 2021; 53:449. [PMID: 34533637 DOI: 10.1007/s11250-021-02918-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 09/10/2021] [Indexed: 11/26/2022]
Abstract
Bovine viral diarrhea virus (BVDV) is an important pathogen correlated with reproductive, respiratory, and gastrointestinal disorders in cattle. Furthermore, it causes endemic infections and significant economic losses in cattle herds worldwide. This review was performed to determine the pooled seroprevalence of BVDV infection and related risk factors among cattle in Iran. Data were systematically gathered without time limitation until 1 December 2020 in the Islamic Republic of Iran from the following electronic databases: PubMed, Google Scholar, Science Direct, Scopus, Web of Science, Elmnet, Magiran, Irandoc, Scientific Information Database (SID), and Civilica. According to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) and inclusion criteria, 28 eligible studies were obtained from various Iran areas. In total, the pooled seroprevalence of BVDV infection, using random-effect model, was estimated 52% (95% CI, 40.1-63.9) in cattle. According to serological detection methods, pooled seroprevalence was as follows: based on ELISA 53.9% and SVN 25.1%. The highest pooled seroprevalence of BVDV infection was in the southeast provinces of Iran (78.4%) and lowest pooled seroprevalence was in Southwest provinces of the country (28.5%). The pooled seroprevalence of BVDV infection in cattle ≤ 2 years was significantly lower than cattle > 2 years (OR = 0.606; 95% CI, 0.397-0.925), whereas the pooled seroprevalence had no significant difference according to other factors such as gender, herd size, and herd types. In conclusion, the pooled seroprevalence of BVDV infection among cattle in Iran is relatively high. The seroprevalence was different among geographical regions of the country. These results are desirable for managing the control programs of this infection in Iran.
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Affiliation(s)
- Mohammad Jokar
- Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Vahid Rahmanian
- Zoonoses Research Center, Jahrom University of Medical Sciences, Jahrom, Iran.
| | - Mehran Farhoodi
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Arman Abdous
- Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Farzane Shams
- Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Nima Karami
- Faculty of Veterinary Medicine, Karaj Branch, Islamic Azad University, Karaj, Iran
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