Journal
MICROBIOLOGY SPECTRUM
Volume -, Issue -, Pages -Publisher
AMER SOC MICROBIOLOGY
DOI: 10.1128/spectrum.01743-23
Keywords
bovine tuberculosis; feces; gas chromatrography-ion mobility spectrometry; mycobacteria; volatile metabolites; chemometrics
Categories
Ask authors/readers for more resources
Bovine tuberculosis is a re-emerging disease that poses risks to the livestock sector and public health. Current diagnostic procedures have drawbacks, and alternative tools are needed. This study evaluates the potential of gas chromatography coupled to ion mobility spectrometry (GC-IMS) in distinguishing naturally infected cattle from non-infected animals.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available