Development of an indirect ELISA to detect PEDV specific IgA antibody based on a PEDV epidemic strain.


Journal

BMC veterinary research
ISSN: 1746-6148
Titre abrégé: BMC Vet Res
Pays: England
ID NLM: 101249759

Informations de publication

Date de publication:
18 Aug 2022
Historique:
received: 05 05 2022
accepted: 10 08 2022
entrez: 18 8 2022
pubmed: 19 8 2022
medline: 23 8 2022
Statut: epublish

Résumé

Porcine epidemic diarrhea (PED), a swine epidemic disease caused by porcine epidemic diarrhea virus (PEDV), is characterized by severe watery diarrhea, vomiting, dehydration and high mortality in piglets, and has caused serious economic losses to the global porcine industry. The level of PEDV IgA antibody is a key marker to assess the extent of passive immunity of the resistance against PEDV infection. However, current commercial structure proteins-based kits for detection of PEDV antibody are not affordable, and those kits require complicated antigen preparation procedures, which cannot meet the scope of economic benefits of many large-scale pig companies in China. Therefore, there is an urgent need to develop an accurate, simple, and economical method for IgA detection in clinical samples. In this study, an indirect ELISA (i-ELISA) method was developed based on a purified PEDV epidemic strain (NH-TA2020). The results show that optimal working dilution ratios of PEDV antigen and HRP anti-swine IgA are at 1: 1000 and 1:15000 respectively. The sensitivity of this method is high with the maximum dilution of samples up to 1:160, and coefficients of variation (CV) of both the intra assays and inter assays were no more than 15%. In addition, the relative sensitivities of the i-ELISA were above 90% compared with values from commercial kits in both serum and oral fluid samples. Our results suggested that the i-ELISA developed in this study was an accurate, simple, and economical method for PEDV-IgA detection in clinical samples.

Sections du résumé

BACKGROUND BACKGROUND
Porcine epidemic diarrhea (PED), a swine epidemic disease caused by porcine epidemic diarrhea virus (PEDV), is characterized by severe watery diarrhea, vomiting, dehydration and high mortality in piglets, and has caused serious economic losses to the global porcine industry. The level of PEDV IgA antibody is a key marker to assess the extent of passive immunity of the resistance against PEDV infection. However, current commercial structure proteins-based kits for detection of PEDV antibody are not affordable, and those kits require complicated antigen preparation procedures, which cannot meet the scope of economic benefits of many large-scale pig companies in China. Therefore, there is an urgent need to develop an accurate, simple, and economical method for IgA detection in clinical samples. In this study, an indirect ELISA (i-ELISA) method was developed based on a purified PEDV epidemic strain (NH-TA2020).
RESULTS RESULTS
The results show that optimal working dilution ratios of PEDV antigen and HRP anti-swine IgA are at 1: 1000 and 1:15000 respectively. The sensitivity of this method is high with the maximum dilution of samples up to 1:160, and coefficients of variation (CV) of both the intra assays and inter assays were no more than 15%. In addition, the relative sensitivities of the i-ELISA were above 90% compared with values from commercial kits in both serum and oral fluid samples.
CONCLUSIONS CONCLUSIONS
Our results suggested that the i-ELISA developed in this study was an accurate, simple, and economical method for PEDV-IgA detection in clinical samples.

Identifiants

pubmed: 35982455
doi: 10.1186/s12917-022-03419-w
pii: 10.1186/s12917-022-03419-w
pmc: PMC9386190
doi:

Substances chimiques

Antibodies, Viral 0
Immunoglobulin A 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

319

Subventions

Organisme : "Scientific and Technological Innovation 2030" Program of China Ministry of Science and Technology
ID : 2021ZD0113803

Informations de copyright

© 2022. The Author(s).

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Auteurs

Kun Wang (K)

Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd (NHLH Academy of Swine Research), Dezhou, China.

Zhiqiang Hu (Z)

Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd (NHLH Academy of Swine Research), Dezhou, China.

Mingyu Fan (M)

Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd (NHLH Academy of Swine Research), Dezhou, China.

Zhenwen Shao (Z)

Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd (NHLH Academy of Swine Research), Dezhou, China.

Qiannan Yu (Q)

Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd (NHLH Academy of Swine Research), Dezhou, China.

Xiaowen Li (X)

Shandong New Hope Liuhe Agriculture and Animal Husbandry Technology Co., Ltd (NHLH Academy of Swine Research), Dezhou, China. lxw8272@163.com.
Shandong Swine Health Data and Intelligent Monitoring Project Laboratory, Dezhou University, Dezhou, China. lxw8272@163.com.
Quality Control for Feed and Products of Livestock and Poultry Key Laboratory of Sichuan Province, New Hope Liuhe Co., Ltd, Chengdu, China. lxw8272@163.com.

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Classifications MeSH