Development of a Novel Double Antibody Sandwich ELISA for Quantitative Detection of Porcine Deltacoronavirus Antigen
文献类型: 外文期刊
作者: Wang, Wei 1 ; Li, Jizong 1 ; Fan, Baochao 1 ; Zhang, Xuehan 1 ; Guo, Rongli 1 ; Zhao, Yongxiang 1 ; Zhou, Junming 1 ; Zhou, Jinzhu 1 ; Sun, Dongbo 5 ; Li, Bin 1 ;
作者机构: 1.Inst Vet Med, Jiangsu Acad Agr Sci, Key Lab Vet Biol Engn & Technol, Minist Agr, Nanjing 210014, Peoples R China
2.Jiangsu Key Lab Food Qual & Safety, State Key Lab Cultivat Base, Minist Sci & Technol, Nanjing 210014, Peoples R China
3.Jiangsu CoInfect Ctr Prevent & Control Important, Yangzhou 225009, Jiangsu, Peoples R China
4.Yangzhou Univ, Jiangsu Key Lab Zoonoses, Yangzhou 225000, Jiangsu, Peoples R China
5.Heilongjiang Bayi Agr Univ, Coll Anim Sci & Vet Med, Lab Prevent & Control Swine Infect Dis, Daqing 163319, Peoples R China
关键词: porcine deltacoronavirus; quantitative ELISA; antigen detection; intestinal and fecal samples; vaccine evaluation
期刊名称:VIRUSES-BASEL ( 影响因子:5.818; 五年影响因子:5.811 )
ISSN:
年卷期: 2021 年 13 卷 12 期
页码:
收录情况: SCI
摘要: Porcine deltacoronavirus (PDCoV) can cause diarrhea and dehydration in newborn piglets. Here, we developed a double antibody sandwich quantitative enzyme-linked immunosorbent assay (DAS-ELISA) for detection of PDCoV by using a specific monoclonal antibody against the PDCoV N protein and an anti-PDCoV rabbit polyclonal antibody. Using DAS-ELISA, the detection limit of recombinant PDCoV N protein and virus titer were approximately 0.5 ng/mL and 10(3.0) TCID50/mL, respectively. A total of 59 intestinal and 205 fecal samples were screened for the presence of PDCoV by using DAS-ELISA and reverse transcriptase real-time PCR (RT-qPCR). The coincidence rate of the DAS-ELISA and RT-qPCR was 89.8%. DAS-ELISA had a sensitivity of 80.8% and specificity of 95.6%. More importantly, the DAS-ELISA could detect the antigen of PDCoV inactivated virus, and the viral antigen concentrations remained unchanged in the inactivated virus. These results suggest that DAS-ELISA could be used for antigen detection of clinical samples and inactivated vaccines. It is a novel method for detecting PDCoV infections and evaluating the PDCoV vaccine.
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