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Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis

Transboundary and Emerging Diseases publish this investigation article

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Even though enormous efforts and control strategies have been implemented, bovine tuberculosis (TB) remains a significant source of health and socioeconomic concern. The standard method used in TB eradication programs for in vivo detection is the tuberculin skin test. However, the specificity of the tuberculin skin test is affected by infection with non-tuberculous mycobacteria or by vaccination. Thus, some animals are not correctly diagnosed. This study aimed firstly to identify a plasma metabolic TB profile by high-field (HF) nuclear magnetic resonance spectroscopy (NMR), and secondly measure this characteristic TB metabolic profile using low-field benchtop (LF) NMR as an affordable molecular technology for TB diagnosis. Plasma samples from cattle diagnosed with TB (derivation set, n = 11), diagnosed with paratuberculosis (PTB, n = 10), PTB-vaccinated healthy control (n = 10), and healthy PTB- unvaccinated control (n = 10) were analyzed by NMR. Unsupervised Principal Component Analysis (PCA) was used to identify metabolic differences between groups. We identified 14 metabolites significantly different between TB and control animals. The second group of TB animals was used to validate the results (validation set, n = 14). Predictive models based on metabolic fingerprint acquired by both HF and LF NMR spectroscopy successfully identified TB versus control subjects (Area Under the Curve of Receiver Operating Characteristic over 0.92 -in both models; Confidence Interval 0.77-1). In summary, plasma fingerprinting using HF and LF-NMR differentiated TB subjects from uninfected animals, and paratuberculosis and PTB-vaccinated subjects that may provide a TB false positive, highlighting the use of LF-NMR based metabolomics as a complementary or alternative diagnostic tool to the current diagnostic methods. This article is protected by copyright. All rights reserved




Ruiz-Cabello J., Sevilla AI., Olaizola E., Bezos J., Miguel-Coello AB., Munoz-Mendoza M., Beraza M., Garrido JM. and Izquierdo-Garcia JL.




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Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis

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Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis



Participants:

Centro de Investigación Cooperativa en Biociencias (CIC bioGUNE).

Universidad ComplutenseFacultad de Ciencias Químicas. Universidad Complutense (UCM).

Universidad ComplutenseFacultad de Farmacia. Universidad Complutense (UCM).

Instituto de Salud Carlos IIICentro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES). Instituto de Salud Carlos III (ISCIII).

Basque Research and Technology Alliance (BRTA).

Basque Foundation for Science (IKERBAQUE).

Gobierno VascoNeiker-Tecnalia, Instituto Vasco de Investigación y Desarrollo Agrario. Gobierno Vasco.

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

Universidad ComplutenseServicio de Micobacterias (MYC). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).

Xunta de GaliciaServicio de Sanidad Animal. Consellería do Medio Rural. Xunta de Galicia.







Transboundary and Emerging Diseases
FACTOR YEAR Q
5.005 2020

NLMID: 101319538

PMID: 34717039

ISSN: 1865-1674



TITLE: Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis


JOURNAL: Transbound. Emerg. Dis.


PUBLISHER: Blackwell Verlag


AUTHORS: Ruiz-Cabello J., Sevilla AI., Olaizola E., Bezos J., Miguel-Coello AB., Munoz-Mendoza M., Beraza M., Garrido JM. and Izquierdo-Garcia JL.


VISAVET PARTICIPANTS


Javier Bezos Garrido

DOI: https://doi.org/10.1111/tbed.14365


CITE THIS PUBLICATION:

Ruiz-Cabello J., Sevilla AI., Olaizola E., Bezos J., Miguel-Coello AB., Munoz-Mendoza M., Beraza M., Garrido JM. and Izquierdo-Garcia JL. Benchtop nuclear magnetic resonance-based metabolomic approach for the diagnosis of bovine tuberculosis. Transboundary and Emerging Diseases. In Press. (A). ISSN: 1865-1674. DOI: 10.1111/tbed.14365


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