Back to Search Start Over

Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics

Authors :
Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal
European Commission (EC)
Rodríguez-Hernández, Pablo
Cardador, María José
Ríos-Reina, Rocío
Sánchez-Carvajal, José María
Galán-Relaño, Ángela
Jurado-Martos, Francisco
Luque, Inmaculada
Arce, Lourdes
Gómez-Laguna, Jaime
Rodríguez-Estévez, Vicente
Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal
European Commission (EC)
Rodríguez-Hernández, Pablo
Cardador, María José
Ríos-Reina, Rocío
Sánchez-Carvajal, José María
Galán-Relaño, Ángela
Jurado-Martos, Francisco
Luque, Inmaculada
Arce, Lourdes
Gómez-Laguna, Jaime
Rodríguez-Estévez, Vicente
Publication Year :
2023

Abstract

Bovine tuberculosis is considered a re-emerging disease caused by different species from the Mycobacterium tuberculosis complex (MTC), important not only for the livestock sector but also for public health due to its zoonotic character. Despite the numerous efforts that have been carried out to improve the performance of the current antemortem diagnostic procedures, nowadays, they still pose several drawbacks, such as moderate to low sensitivity, highlighting the necessity to develop alternative and innovative tools to complement control and surveillance frameworks. Volatilome analysis is considered an innovative approach which has been widely employed in animal science, including animal health field and diagnosis, due to the useful and interesting information provided by volatile metabolites. Therefore, this study assesses the potential of gas chromatography coupled to ion mobility spectrometry (GC-IMS) to discriminate cattle naturally infected (field infections) by MTC from non-infected animals. Volatile organic compounds (VOCs) produced from feces were analyzed, employing the subsequent information through chemometrics. After the evaluation of variable importance for the projection of compounds, the final discriminant models achieved a robust performance in cross-validation, as well as high percentages of correct classification (>90%) and optimal data of sensitivity (91.66%) and specificity (99.99%) in external validation. The tentative identification of some VOCs revealed some coincidences with previous studies, although potential new compounds associated with the discrimination of infected and non-infected subjects were also addressed. These results provide strong evidence that a volatilome analysis of feces through GC-IMS coupled to chemometrics could become a valuable methodology to discriminate the infection by MTC in cattle. IMPORTANCE Bovine tuberculosis is endemic in many countries worldwide and poses important concerns for public health because of their

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1410771187
Document Type :
Electronic Resource