Literature DB >> 33252025

Validation of a multiplex PCR assay to detect Babesia spp. and Anaplasma marginale in cattle in Uruguay in the absence of a gold standard test.

Pablo Parodi1, Luis G Corbellini2, Vanessa B Leotti3, Rodolfo Rivero4, Cecilia Miraballes1, Franklin Riet-Correa1, José M Venzal5, María T Armúa-Fernández5.   

Abstract

Detection of bovine Babesia spp. and Anaplasma marginale is based on the reading of Giemsa-stained blood or organ smears, which can have low sensitivity. Our aim was to improve the detection of bovine Babesia spp. and A. marginale by validating a multiplex PCR (mPCR). We used 466 samples of blood and/or organs of animals with signs and presumptive autopsy findings of babesiosis or anaplasmosis. The primers in our mPCR amplified the rap-1a gene region of Babesia bovis and B. bigemina, and the msp-5 region of A. marginale. We used a Bayesian model with a non-informative priori distribution for the prevalence estimate and informative priori distribution for estimation of sensitivity and specificity. The sensitivity and specificity for smear detection of Babesia spp. were 68.6% and 99.1%, and for A. marginale 85.6% and 98.8%, respectively. Sensitivity and specificity for mPCR detection for Babesia spp. were 94.2% and 97.1%, and for A. marginale 95.2% and 92.7%, respectively. Our mPCR had good accuracy in detecting Babesia spp. and A. marginale, and would be a reliable test for veterinarians to choose the correct treatment for each agent.

Entities:  

Keywords:  Anaplasma marginale; Babesia spp; cattle; multiplex PCR; sensitivity; specificity; tick-borne diseases

Mesh:

Year:  2020        PMID: 33252025      PMCID: PMC7758682          DOI: 10.1177/1040638720975742

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  28 in total

Review 1.  Estimation of sensitivity and specificity of diagnostic tests and disease prevalence when the true disease state is unknown.

Authors:  C Enøe; M P Georgiadis; W O Johnson
Journal:  Prev Vet Med       Date:  2000-05-30       Impact factor: 2.670

Review 2.  Multiplex PCR: optimization and application in diagnostic virology.

Authors:  E M Elnifro; A M Ashshi; R J Cooper; P E Klapper
Journal:  Clin Microbiol Rev       Date:  2000-10       Impact factor: 26.132

3.  Estimation of diagnostic-test sensitivity and specificity through Bayesian modeling.

Authors:  A J Branscum; I A Gardner; W O Johnson
Journal:  Prev Vet Med       Date:  2005-05-10       Impact factor: 2.670

4.  PCR-based detection of Babesia bovis and Babesia bigemina in their natural host Boophilus microplus and cattle.

Authors:  T C G Oliveira-Sequeira; M C S Oliveira; J P Araujo; A F T Amarante
Journal:  Int J Parasitol       Date:  2005-01       Impact factor: 3.981

5.  Rhipicephalus microplus, babesiosis and anaplasmosis in Uruguay: current situation and control or elimination programs on farms.

Authors:  Cecilia Miraballes; Virginia Aráoz; Franklin Riet-Correa
Journal:  Exp Appl Acarol       Date:  2019-07-27       Impact factor: 2.132

Review 6.  Emerging perspectives in the research of bovine babesiosis and anaplasmosis.

Authors:  Carlos E Suarez; Susan Noh
Journal:  Vet Parasitol       Date:  2011-05-27       Impact factor: 2.738

7.  Molecular identification of Anaplasma marginale and rickettsial endosymbionts in blood-sucking flies (Diptera: Tabanidae, Muscidae) and hard ticks (Acari: Ixodidae).

Authors:  Sándor Hornok; Gábor Földvári; Vilmos Elek; Victoria Naranjo; Róbert Farkas; José de la Fuente
Journal:  Vet Parasitol       Date:  2008-04-07       Impact factor: 2.738

Review 8.  The natural history of Anaplasma marginale.

Authors:  Katherine M Kocan; José de la Fuente; Edmour F Blouin; Johann F Coetzee; S A Ewing
Journal:  Vet Parasitol       Date:  2009-09-19       Impact factor: 2.738

9.  Improved molecular tools for detection of Babesia bigemina.

Authors:  Romina Petrigh; Paula Ruybal; Carolina Thompson; Roberto Neumann; Rosalia Moretta; Silvina Wilkowsky; Graciela Draghi; Ignacio Echaide; Susana Torioni de Echaide; Marisa Farber
Journal:  Ann N Y Acad Sci       Date:  2008-12       Impact factor: 5.691

10.  A Bayesian approach to investigate life course hypotheses involving continuous exposures.

Authors:  Sreenath Madathil; Lawrence Joseph; Rebecca Hardy; Marie-Claude Rousseau; Belinda Nicolau
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

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  1 in total

Review 1.  Technologies for Detection of Babesia microti: Advances and Challenges.

Authors:  Scott Meredith; Miranda Oakley; Sanjai Kumar
Journal:  Pathogens       Date:  2021-11-30
  1 in total

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