Literature DB >> 19735941

The use of MPB70 and MPB83 to distinguish between bovine tuberculosis and paratuberculosis.

Carla D Marassi1, Jim McNair, John Pollock, Paula Ristow, Leila S Fonseca, Walter M R Oelemann, Walter Lilenbaum.   

Abstract

In order to demonstrate the potential to distinguish paratuberculosis (PTB) from bovine tuberculosis infection (TB), ELISAs with M. bovis-specific MPB70 or MPB83 as capture antigens were developed and tested on two groups of cattle: Group A comprised 23 animals positive for Mycobacterium avium paratuberculosis (Map) and TB free. Group B comprised 48 animals from a Map free herd during the previous 5 years, but confirmed as tuberculous by positive results on PPD testing and M. bovis culture. Results demonstrated a significant difference (p<0.01) between reactivity of sera from these groups, encouraging the study of purified proteins to differentiate between both diseases.
Copyright © 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19735941     DOI: 10.1016/j.cimid.2009.08.003

Source DB:  PubMed          Journal:  Comp Immunol Microbiol Infect Dis        ISSN: 0147-9571            Impact factor:   2.268


  3 in total

1.  Disparate host immunity to Mycobacterium avium subsp. paratuberculosis antigens in calves inoculated with M. avium subsp. paratuberculosis, M. avium subsp. avium, M. kansasii, and M. bovis.

Authors:  J R Stabel; W R Waters; J P Bannantine; M V Palmer
Journal:  Clin Vaccine Immunol       Date:  2013-04-03

Review 2.  Paratuberculosis in Latin America: a systematic review.

Authors:  I F Espeschit; D G G Schwarz; A C S Faria; M C C Souza; F A Paolicchi; R A Juste; I A Carvalho; M A S Moreira
Journal:  Trop Anim Health Prod       Date:  2017-09-07       Impact factor: 1.559

Review 3.  A review of risk factors for bovine tuberculosis infection in cattle in the UK and Ireland.

Authors:  J M Broughan; J Judge; E Ely; R J Delahay; G Wilson; R S Clifton-Hadley; A V Goodchild; H Bishop; J E Parry; S H Downs
Journal:  Epidemiol Infect       Date:  2016-07-25       Impact factor: 4.434

  3 in total

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