Canine metabolomics advances

Carlos, Graciela; Santos, Francisco P. dos; Fröehlich, Pedro Eduardo

doi:10.1007/s11306-020-1638-7

Cited by 30 publications

(26 citation statements)

References 96 publications

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“…[46] The discovery of metabolic biomarkers in animals' EBC may offer valuable insight to their metabolic origin and such results can be cautiously extrapolated or validated in humans for biomarker development. Recently, Carlos et al [212] reviewed progress on the detection of canine metabolites. They discussed the potential uses of metabolomics to discover biomarkers of diseases in dogs.…”

Section: Animal Studiesmentioning

confidence: 99%

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Khoubnasabjafari

Mogaddam

Rahimpour

et al. 2021

Critical Reviews in Analytical Chemistry

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Metabolomics research is rapidly gaining momentum in disease diagnosis, on top of other Omics technologies. Breathomics, as a branch of metabolomics is developing in various frontiers, for early and noninvasive monitoring of disease. This review starts with a brief introduction to metabolomics and breathomics. A number of important technical issues in exhaled breath collection and factors affecting the sampling procedures are presented. We review the recent progress in metabolomics approaches and a summary of their applications on the respiratory and non-respiratory diseases investigated by breath analysis. Recent reports on breathomics studies retrieved from Scopus and Pubmed were reviewed in this work. We conclude that analyzing breath metabolites (both volatile and nonvolatile) is valuable in disease diagnoses, and therefore believe that breathomics will turn into a promising noninvasive discipline in biomarker discovery and early disease detection in personalized medicine. The problem of wide variations in the reported metabolite concentrations from breathomics studies should be tackled by developing more accurate analytical methods and sophisticated numerical analytical alogorithms.

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Section: Animal Studiesmentioning

confidence: 99%

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Khoubnasabjafari

Mogaddam

Rahimpour

et al. 2021

Critical Reviews in Analytical Chemistry

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“…Thus, due to the similarities to human patients, metabolomics investigations in dogs can help the study of human diseases and also improve veterinary therapy and diagnostics [23][24][25][26]. Although metabolomics study in dogs in veterinary research is a new field and provides an increasing interest, it is still in its infancy compared with investigations in the human medicine field [27].…”

Section: Introductionmentioning

confidence: 99%

Multi Platforms Strategies and Metabolomics Approaches for the Investigation of Comprehensive Metabolite Profile in Dogs with Babesia canis Infection

Rubić

Burchmore

Weidt

et al. 2022

IJMS

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Canine babesiosis is an important tick-borne disease worldwide, caused by parasites of the Babesia 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 Babesia canis using liquid and gas chromatography coupled to mass spectrometry. The study included 12 dogs naturally infected with B. canis 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 B. canis 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 B. canis infection.

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“…In contrast to creatinine, urine osmolality is not affected by diurnal rhythms, diet, activity, age, gender, stress, or health, as osmolite concentration is a reflection of the total endogenous metabolic turnout (Warrack et al, 2009). Veterinary research is gaining an increasing interest in the metabolomics area, but it is still underexplored compared to the human medicine field (Carlos et al, 2020). Metabolomics strategies have a wide canine application area, as evidenced by previous studies investigating different diseases, such as heart disease, diabetes, hypothyroidism, chronic kidney disease (CKD), and others (Li et al, 2015;Forster et al, 2018;Ferlizza et al, 2020;Muñoz-Prieto et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Combined Untargeted and Targeted Metabolomics Approaches Reveal Urinary Changes of Amino Acids and Energy Metabolism in Canine Babesiosis With Different Levels of Kidney Function

et al. 2021

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Canine babesiosis is a tick-borne disease with a worldwide distribution, caused by the haemoprotozoan parasites of the genus Babesia. One of the most prevalent complication is acute kidney injury, and an early diagnosis of altered kidney function remains a challenge for veterinary practice. The aim of this study was to assess the urine metabolic profile from dogs with babesiosis and different degree of kidney function using untargeted and targeted MS-based metabolomics approaches. In this study, 22 dogs naturally infected with Babesia canis and 12 healthy dogs were included. Untargeted metabolomics approach identified 601 features with a differential abundance between the healthy group and groups of dogs with babesiosis and different level of kidney function, with 27 of them identified as a match to known standards; while targeted approach identified 17 metabolites with significantly different concentrations between the groups. A pattern of significantly altered metabolites referring to the inflammatory host response, oxidative stress, and energy metabolism modulation in babesiosis was presented. Our findings have demonstrated that kidney dysfunction accompanying canine babesiosis was associated with changes in amino acid metabolism, energy metabolism, fatty acid metabolism, and biochemical pathways such as urea cycle and ammonia detoxication. These findings will enable the inclusion of urinary markers for the detection and monitoring of renal damage in babesiosis, as well as in other similar diseases.

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Canine metabolomics advances

Cited by 30 publications

References 96 publications

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Multi Platforms Strategies and Metabolomics Approaches for the Investigation of Comprehensive Metabolite Profile in Dogs with Babesia canis Infection

Combined Untargeted and Targeted Metabolomics Approaches Reveal Urinary Changes of Amino Acids and Energy Metabolism in Canine Babesiosis With Different Levels of Kidney Function

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