Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics
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 ou...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Society for Microbiology
2023-10-01
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| Series: | Microbiology Spectrum |
| Subjects: | |
| Online Access: | https://journals.asm.org/doi/10.1128/spectrum.01743-23 |
| _version_ | 1797658132924596224 |
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| author | Pablo Rodríguez-Hernández María José Cardador Rocío Ríos-Reina José María Sánchez-Carvajal Ángela Galán-Relaño Francisco Jurado-Martos Inmaculada Luque Lourdes Arce Jaime Gómez-Laguna Vicente Rodríguez-Estévez |
| author_facet | Pablo Rodríguez-Hernández María José Cardador Rocío Ríos-Reina José María Sánchez-Carvajal Ángela Galán-Relaño Francisco Jurado-Martos Inmaculada Luque Lourdes Arce Jaime Gómez-Laguna Vicente Rodríguez-Estévez |
| author_sort | Pablo Rodríguez-Hernández |
| collection | DOAJ |
| description | 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 zoonotic condition. However, current diagnostic techniques present several hurdles, such as low sensitivity and complexity, among others. In this regard, the development of new approaches to improve the diagnosis and control of this disease is considered crucial. Volatile organic compounds are small molecular mass metabolites which compose volatilome, whose analysis has been widely employed with success in different areas of animal science including animal health. The present study seeks to evaluate the combination of fecal volatilome analysis with chemometrics to detect field infections by bovine tuberculosis (Mycobacterium tuberculosis complex) in cattle. The good robust performance of discriminant models as well as the optimal data of sensitivity and specificity achieved highlight volatilome analysis as an innovative approach with huge potential. |
| first_indexed | 2024-03-11T17:55:43Z |
| format | Article |
| id | doaj.art-0a583a78e5694a81b5ff6d3179c1cde6 |
| institution | Directory Open Access Journal |
| issn | 2165-0497 |
| language | English |
| last_indexed | 2024-03-11T17:55:43Z |
| publishDate | 2023-10-01 |
| publisher | American Society for Microbiology |
| record_format | Article |
| series | Microbiology Spectrum |
| spelling | doaj.art-0a583a78e5694a81b5ff6d3179c1cde62023-10-17T13:04:36ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972023-10-0111510.1128/spectrum.01743-23Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometricsPablo Rodríguez-Hernández0María José Cardador1Rocío Ríos-Reina2José María Sánchez-Carvajal3Ángela Galán-Relaño4Francisco Jurado-Martos5Inmaculada Luque6Lourdes Arce7Jaime Gómez-Laguna8Vicente Rodríguez-Estévez9Department of Animal Production, UIC Zoonosis y Enfermedades Emergentes ENZOEM, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainDepartment of Analytical Chemistry, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainDepartamento de Nutrición y Bromatología, Área de Nutrición y Bromatología, Toxicología y Medicina Legal, Facultad de Farmacia, Universidad de Sevilla , Seville, SpainDepartment of Anatomy and Comparative Pathology and Toxicology, Pathology and Immunology Group (UCO-PIG), UIC Zoonosis y Enfermedades Emergentes ENZOEM, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainDepartment of Animal Health, UIC Zoonosis y Enfermedades Emergentes ENZOEM, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainResearch and Agri-food Quality Centre (CICAP), Pozoblanco , Córdoba, SpainDepartment of Animal Health, UIC Zoonosis y Enfermedades Emergentes ENZOEM, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainDepartment of Analytical Chemistry, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainDepartment of Anatomy and Comparative Pathology and Toxicology, Pathology and Immunology Group (UCO-PIG), UIC Zoonosis y Enfermedades Emergentes ENZOEM, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainDepartment of Animal Production, UIC Zoonosis y Enfermedades Emergentes ENZOEM, International Agrifood Campus of Excellence (ceiA3), University of Córdoba , Córdoba, SpainABSTRACT 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 zoonotic condition. However, current diagnostic techniques present several hurdles, such as low sensitivity and complexity, among others. In this regard, the development of new approaches to improve the diagnosis and control of this disease is considered crucial. Volatile organic compounds are small molecular mass metabolites which compose volatilome, whose analysis has been widely employed with success in different areas of animal science including animal health. The present study seeks to evaluate the combination of fecal volatilome analysis with chemometrics to detect field infections by bovine tuberculosis (Mycobacterium tuberculosis complex) in cattle. The good robust performance of discriminant models as well as the optimal data of sensitivity and specificity achieved highlight volatilome analysis as an innovative approach with huge potential.https://journals.asm.org/doi/10.1128/spectrum.01743-23bovine tuberculosisfecesgas chromatrography-ion mobility spectrometrymycobacteriavolatile metaboliteschemometrics |
| spellingShingle | Pablo Rodríguez-Hernández María José Cardador Rocío Ríos-Reina José María Sánchez-Carvajal Ángela Galán-Relaño Francisco Jurado-Martos Inmaculada Luque Lourdes Arce Jaime Gómez-Laguna Vicente Rodríguez-Estévez Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics Microbiology Spectrum bovine tuberculosis feces gas chromatrography-ion mobility spectrometry mycobacteria volatile metabolites chemometrics |
| title | Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics |
| title_full | Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics |
| title_fullStr | Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics |
| title_full_unstemmed | Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics |
| title_short | Detection of Mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography-ion mobility spectrometry combined with chemometrics |
| title_sort | detection of mycobacterium tuberculosis complex field infections in cattle using fecal volatile organic compound analysis through gas chromatography ion mobility spectrometry combined with chemometrics |
| topic | bovine tuberculosis feces gas chromatrography-ion mobility spectrometry mycobacteria volatile metabolites chemometrics |
| url | https://journals.asm.org/doi/10.1128/spectrum.01743-23 |
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