Literature DB >> 35739279

A cerumenolomic approach to bovine trypanosomosis diagnosis.

João Marcos G Barbosa1, Débora Ribeiro de Mendonça2, Lurian C David3, Taynara C E Silva3, Danielly A Fortuna Lima3, Anselmo E de Oliveira4, Welber Daniel Zanetti Lopes5, Maria Clorinda S Fioravanti2, Paulo H Jorge da Cunha2, Nelson R Antoniosi Filho6.   

Abstract

INTRODUCTION: Trypanosomiasis caused by Trypanosoma vivax (T. vivax, subgenus Duttonella) is a burden disease in bovines that induces losses of billions of dollars in livestock activity worldwide. To control the disease, the first step is identifying the infected animals at early stages. However, convention tools for animal infection detection by T. vivax present some challenges, facilitating the spread of the pathogenesis.
OBJECTIVES: This work aims to develop a new procedure to identify infected bovines by T. vivax using cerumen (earwax) in a volatilomic approach, here named cerumenolomic, which is performed in an easy, quick, accurate, and non-invasive manner.
METHODS: Seventy-eight earwax samples from Brazilian Curraleiro Pé-Duro calves were collected in a longitudinal study protocol during health and inoculated stages. The samples were analyzed using Headspace/Gas Chromatography-Mass Spectrometry followed by multivariate analysis approaches.
RESULTS: The cerumen analyses lead to the identification of a broad spectrum of volatile organic metabolites (VOMs), of which 20 VOMs can discriminate between healthy and infected calves (AUC = 0.991, sensitivity = 0.967, specificity = 1.000). Furthermore, 13 VOMs can indicate a pattern of discrimination between the acute and chronic phases of the T. vivax infection in the animals (AUC = 0.989, sensitivity = 0.944, specificity = 1.000).
CONCLUSION: The cerumen volatile metabolites present alterations in their occurrence during the T.vivax infection, which may lead to identifying the infection in the first weeks of inoculation and discriminating between the acute and chronic phases of the illness. These results may be a breakthrough to avoid the T. vivax outbreak and provide a faster clinical approach to the animal.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Cattle; Genetic algorithm; HS/GC–MS; Receiver operating curve; VOCs

Mesh:

Year:  2022        PMID: 35739279     DOI: 10.1007/s11306-022-01901-y

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.747


  49 in total

1.  A volatolomic approach using cerumen as biofluid to diagnose bovine intoxication by Stryphnodendron rotundifolium.

Authors:  João Marcos G Barbosa; Milenna K Fernandes Rodrigues; Lurian C David; Taynara C E Silva; Danielly A Fortuna Lima; Naiara Z Pereira; Emmanuel B D'Alessandro; Anselmo E de Oliveira; Paulo H Jorge da Cunha; Maria Clorinda S Fioravanti; Nelson R Antoniosi Filho
Journal:  Biomed Chromatogr       Date:  2020-07-17       Impact factor: 1.902

Review 2.  Graph-based methods for analysing networks in cell biology.

Authors:  Tero Aittokallio; Benno Schwikowski
Journal:  Brief Bioinform       Date:  2006-07-30       Impact factor: 11.622

3.  Assessing unintended effects of a mammary-specific transgene at the whole animal level in host and non-target animals.

Authors:  Merritt Clark; James D Murray; Elizabeth A Maga
Journal:  Transgenic Res       Date:  2013-11-09       Impact factor: 2.788

4.  Development of a rapid antibody test for point-of-care diagnosis of animal African trypanosomosis.

Authors:  Alain Boulangé; Davita Pillay; Cyrille Chevtzoff; Nicolas Biteau; Vanessa Comé de Graça; Leonie Rempeters; Dimitrios Theodoridis; Théo Baltz
Journal:  Vet Parasitol       Date:  2016-11-21       Impact factor: 2.738

5.  Cerumen composition by flash pyrolysis-gas chromatography/mass spectrometry.

Authors:  C N Burkhart; M A Kruge; C G Burkhart; C Black
Journal:  Otol Neurotol       Date:  2001-11       Impact factor: 2.311

6.  Detection of Trypanosoma vivax using PCR and LAMP during aparasitemic periods.

Authors:  Fabiano Antonio Cadioli; Otavio Luiz Fidelis Junior; Paulo Henrique Sampaio; Giuliana Nascimento dos Santos; Marcos Rogério André; Kayo José Garcia de Almeida Castilho; Rosangela Zacarias Machado
Journal:  Vet Parasitol       Date:  2015-09-03       Impact factor: 2.738

7.  Infection capacity of Trypanosoma vivax experimentally inoculated through different routes in bovines with latent Anaplasma marginale.

Authors:  Thiago Souza Azeredo Bastos; Adriana Marques Faria; Alliny Souza de Assis Cavalcante; Darling Melany de Carvalho Madrid; Dina Maria Beltrán Zapa; João Eduardo Nicaretta; Leonardo Bueno Cruvinel; Luciana Maffini Heller; Luiz Fellipe Monteiro Couto; Daniel de Castro Rodrigues; Lorena Lopes Ferreira; Vando Edésio Soares; Fabiano Antônio Cadioli; Welber Daniel Zanetti Lopes
Journal:  Exp Parasitol       Date:  2020-02-21       Impact factor: 2.011

8.  First outbreak and subsequent cases of Trypanosoma vivax in the state of Goiás, Brazil.

Authors:  Thiago Souza Azeredo Bastos; Adriana Marques Faria; Darling Mélany de Carvalho Madrid; Luciana Cardoso de Bessa; Guido Fontgalland Coelho Linhares; Otavio Luiz Fidelis; Paulo Henrique Sampaio; Breno Cayeiro Cruz; Leonardo Bueno Cruvinel; João Eduardo Nicaretta; Rosangela Zacarias Machado; Alvimar José da Costa; Welber Daniel Zanetti Lopes
Journal:  Rev Bras Parasitol Vet       Date:  2017-06-29

9.  Cerumenogram: a new frontier in cancer diagnosis in humans.

Authors:  João Marcos Gonçalves Barbosa; Naiara Zedes Pereira; Lurian Caetano David; Camilla Gabriela de Oliveira; Marina Ferraz Gontijo Soares; Melissa Ameloti Gomes Avelino; Anselmo Elcana de Oliveira; Engy Shokry; Nelson Roberto Antoniosi Filho
Journal:  Sci Rep       Date:  2019-08-13       Impact factor: 4.379

10.  MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis.

Authors:  Jasmine Chong; Othman Soufan; Carin Li; Iurie Caraus; Shuzhao Li; Guillaume Bourque; David S Wishart; Jianguo Xia
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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