Literature DB >> 8585292

Assessment of foot and mouth disease vaccine potency by liquid-phase blocking ELISA: a proposal for an alternative to the challenge procedure in Argentina.

B Robiolo1, P R Grigera, O H Periolo, C Seki, T Bianchi, E Maradei, J L La Torre.   

Abstract

The lowest expected protection (LEP) at a 95% confidence of 245 foot and mouth disease (FMD) commercial vaccines was calculated from the titres of liquid-phase blocking sandwich ELISA (lpELISA) of cattle sera obtained from 3920 animals at 60 days post-vaccination (d.p.v.) and challenged with live virus at 90 d.p.v. It was found that LEP evaluation is highly specific (i.e. it is able to predict the failure in 100% of the cases) although its ability to predict the challenge (PG test) approval (i.e. sensitivity) comprised only 65% of the vaccines that passed the trial. It was possible, nevertheless, to improve the sensitivity of the evaluation by using an alternative coefficient (Ro), exclusively dependent on the number of animals exhibiting the highest and lowest lpELISA titres in a particular vaccine trial. This coefficient was capable of predicting the PG approval of 90% of the vaccines, yet maintaining acceptable levels of safety (87% of specificity). Based on these results and as a first step towards the replacement of the challenge protocol in Argentina, we propose a swift approval for commercialization of FMD vaccines which are able to reach the highly restricting LEP passmark of 82%, and the rejection of those not reaching the 50% LEP limit. More extensive experience with this new protocol will allow a finer adjustment of the LEP and Ro values and to set more precisely the cut-off points for direct approval or disapproval of vaccines by lpELISA, eliminating the use of live FMDV in the field.

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Year:  1995        PMID: 8585292     DOI: 10.1016/0264-410x(94)00084-z

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  6 in total

1.  A comparison of methods for measuring the antibody response in mice and cattle following vaccination against foot and mouth disease.

Authors:  M J Dus Santos; A Wigdorovitz; E Maradei; O Periolo; E Smitsaart; M V Borca; A M Sadir
Journal:  Vet Res Commun       Date:  2000-05       Impact factor: 2.459

2.  Systemic Foot-and-Mouth Disease Vaccination in Cattle Promotes Specific Antibody-Secreting Cells at the Respiratory Tract and Triggers Local Anamnestic Responses upon Aerosol Infection.

Authors:  J Pega; S Di Giacomo; D Bucafusco; J M Schammas; D Malacari; F Barrionuevo; A V Capozzo; L L Rodríguez; M V Borca; M Pérez-Filgueira
Journal:  J Virol       Date:  2015-07-08       Impact factor: 5.103

3.  Use of a baculovirus-expressed structural protein for the detection of antibodies to foot-and-mouth disease virus type A by a blocking enzyme-linked immunosorbent assay.

Authors:  Young-Joon Ko; Hyang-Sim Lee; Hye-Young Jeoung; Eun-Jeong Heo; Hyo-Rim Ko; Byung-Sik Chang; Hoo-Don Joo; U Gerelmaa; B Dashzeveg; S Tserendorj; R Sodnomdarjaa; Jong-Hyeon Park; Chang-Hee Kweon; In-Soo Cho; Sang-Gi Paik
Journal:  Clin Vaccine Immunol       Date:  2009-11-04

4.  Development of an Indirect Chemiluminescence Immunoassay Using a Multiepitope Recombinant Protein To Specifically Detect Antibodies against Foot-and-Mouth Disease Virus Serotype O in Swine.

Authors:  Wei Liu; Junjun Shao; Guanglei Zhang; Yanyan Chang; Sudan Ge; Yue Sun; Zhan Gao; Huiyun Chang
Journal:  J Clin Microbiol       Date:  2021-02-18       Impact factor: 5.948

5.  Cross-Serotype Reactivity of ELISAs Used to Detect Antibodies to the Structural Proteins of Foot-and-Mouth Disease Virus.

Authors:  Anna B Ludi; Alison Morris; Simon Gubbins; Amin Asfor; Madeeha Afzal; Clare F Browning; Santina Grazioli; Efrem Alessandro Foglia; Ginette Wilsden; Alison Burman; Emiliana Brocchi; David J Paton; Donald P King
Journal:  Viruses       Date:  2022-07-08       Impact factor: 5.818

6.  Quantitative Detection of the Foot-And-Mouth Disease Virus Serotype O 146S Antigen for Vaccine Production Using a Double-Antibody Sandwich ELISA and Nonlinear Standard Curves.

Authors:  Xia Feng; Jun-Wu Ma; Shi-Qi Sun; Hui-Chen Guo; Ya-Min Yang; Ye Jin; Guang-Qing Zhou; Ji-Jun He; Jian-Hong Guo; Shu-yun Qi; Mi Lin; Hu Cai; Xiang-Tao Liu
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

  6 in total

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