Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins

Senecavirus A (SVA) is the causative agent associated with porcine idiopathic vesicular disease (PIVD), a condition indistinguishable from other foreign vesicular diseases affecting pigs. This complicates differential diagnosis and impacts the global swine industry. A diagnostic ELISA based on a non...

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Main Authors: Parin Watcharavongtip, Patumporn Jermsutjarit, Angkana Tantituvanont, Dachrit Nilubol
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Veterinary Quarterly
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Online Access:https://www.tandfonline.com/doi/10.1080/01652176.2024.2449082
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author Parin Watcharavongtip
Patumporn Jermsutjarit
Angkana Tantituvanont
Dachrit Nilubol
author_facet Parin Watcharavongtip
Patumporn Jermsutjarit
Angkana Tantituvanont
Dachrit Nilubol
author_sort Parin Watcharavongtip
collection DOAJ
description Senecavirus A (SVA) is the causative agent associated with porcine idiopathic vesicular disease (PIVD), a condition indistinguishable from other foreign vesicular diseases affecting pigs. This complicates differential diagnosis and impacts the global swine industry. A diagnostic ELISA based on a non-structural viral protein has been developed, capable of distinguishing infected from vaccinated animals (DIVA). Different expression systems (eukaryotic and prokaryotic) were used to express recombinant proteins. The baculovirus-expressed SVA 3AB DIVA ELISA demonstrated a sensitivity of 96.67% and specificity of 96.67%. In contrast, the E. coli-expressed SVA 3AB DIVA ELISA achieved 100% sensitivity and 93.33% specificity. Both ELISAs strongly correlated with the reference method and showed no cross-reactivity with other pig pathogens. The E. coli system also provided a higher yield of expressed protein than the baculovirus system. These findings indicate that SVA DIVA ELISAs are effective alternatives for detecting SVA antibodies. They can be valuable tools for sero-surveillance and for evaluating immunity status tests to support and approve vaccination programs for pig herds in the future.
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publisher Taylor & Francis Group
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series Veterinary Quarterly
spelling doaj-art-34c9fe385c2c4d9aa277ed0c42d73bc82025-01-08T08:18:58ZengTaylor & Francis GroupVeterinary Quarterly0165-21761875-59412025-12-0145111110.1080/01652176.2024.2449082Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteinsParin Watcharavongtip0Patumporn Jermsutjarit1Angkana Tantituvanont2Dachrit Nilubol3Department of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, ThailandDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, ThailandSwine Viral Evolution and Vaccine Development Research Unit, Chulalongkorn University, Bangkok, ThailandDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, ThailandSenecavirus A (SVA) is the causative agent associated with porcine idiopathic vesicular disease (PIVD), a condition indistinguishable from other foreign vesicular diseases affecting pigs. This complicates differential diagnosis and impacts the global swine industry. A diagnostic ELISA based on a non-structural viral protein has been developed, capable of distinguishing infected from vaccinated animals (DIVA). Different expression systems (eukaryotic and prokaryotic) were used to express recombinant proteins. The baculovirus-expressed SVA 3AB DIVA ELISA demonstrated a sensitivity of 96.67% and specificity of 96.67%. In contrast, the E. coli-expressed SVA 3AB DIVA ELISA achieved 100% sensitivity and 93.33% specificity. Both ELISAs strongly correlated with the reference method and showed no cross-reactivity with other pig pathogens. The E. coli system also provided a higher yield of expressed protein than the baculovirus system. These findings indicate that SVA DIVA ELISAs are effective alternatives for detecting SVA antibodies. They can be valuable tools for sero-surveillance and for evaluating immunity status tests to support and approve vaccination programs for pig herds in the future.https://www.tandfonline.com/doi/10.1080/01652176.2024.2449082Senecavirus Aantibodyindirect ELISADIVApig
spellingShingle Parin Watcharavongtip
Patumporn Jermsutjarit
Angkana Tantituvanont
Dachrit Nilubol
Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins
Veterinary Quarterly
Senecavirus A
antibody
indirect ELISA
DIVA
pig
title Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins
title_full Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins
title_fullStr Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins
title_full_unstemmed Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins
title_short Development of a differentiating of infected from vaccinated animal (DIVA) ELISA to detect antibodies against Senecavirus A in pigs using two expression systems of non-structural proteins
title_sort development of a differentiating of infected from vaccinated animal diva elisa to detect antibodies against senecavirus a in pigs using two expression systems of non structural proteins
topic Senecavirus A
antibody
indirect ELISA
DIVA
pig
url https://www.tandfonline.com/doi/10.1080/01652176.2024.2449082
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