AI Article Synopsis
- * The research aimed to analyze the serum metabolome of 12 dogs infected with babesiosis compared to 12 healthy dogs, using advanced chromatography techniques, leading to the identification of 295 metabolites.
- * Findings revealed various metabolic pathways involved in the disease, highlighting the potential for using metabolomics to better understand host-pathogen interactions and the mechanisms behind babesiosis in dogs.
Article Abstract
Canine babesiosis is an important tick-borne disease worldwide, caused by parasites of the genus. Although the disease process primarily affects erythrocytes, it may also have multisystemic consequences. The goal of this study was to explore and characterize the serum metabolome, by identifying potential metabolites and metabolic pathways in dogs naturally infected with using liquid and gas chromatography coupled to mass spectrometry. The study included 12 dogs naturally infected with and 12 healthy dogs. By combining three different analytical platforms using untargeted and targeted approaches, 295 metabolites were detected. The untargeted ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) metabolomics approach identified 64 metabolites, the targeted UHPLC-MS/MS metabolomics approach identified 205 metabolites, and the GC-MS metabolomics approach identified 26 metabolites. Biological functions of differentially abundant metabolites indicate the involvement of various pathways in canine babesiosis including the following: glutathione metabolism; alanine, aspartate, and glutamate metabolism; glyoxylate and dicarboxylate metabolism; cysteine and methionine metabolism; and phenylalanine, tyrosine, and tryptophan biosynthesis. This study confirmed that host-pathogen interactions could be studied by metabolomics to assess chemical changes in the host, such that the differences in serum metabolome between dogs with infection and healthy dogs can be detected with liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) methods. Our study provides novel insight into pathophysiological mechanisms of infection.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835742 | PMC |
| http://dx.doi.org/10.3390/ijms23031575 | DOI Listing |
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