Literature DB >> 31955274

Canine metabolomics advances.

Graciela Carlos1, Francisco Paulo Dos Santos2, Pedro Eduardo Fröehlich3.   

Abstract

INTRODUCTION: Canis lupus familiaris is a domestic dog and many owners consider their pets as a family member. Medical bills with dogs are overcame only by the health care received by humans. Medical care is constantly progressing, and so is veterinary care. Metabolomics is the ''omic" technique aimed to the study of metabolome, low-molecular weight molecules, through biofluids or tissue samples. And it also allows to evaluate disease diagnosis and prognosis, therapeutic evaluation and toxicological studies.
OBJECTIVES: The goal of this paper is to review the current and potential applications of metabolomics in domestic dogs.
METHOD: ScienceDirect, Scopus, Reaxys and PubMed were searched for papers that performed canine metabolomics in any research area.
RESULTS: We analysed 38 papers, published until April 2019 in canine metabolomics approach. Metabolomic research in dogs so far can be divided into three areas: (a) Metabolomics studies in veterinary science, such as improving pet dogs health and welfare. (b) Diet, breeds and species discrimination. (c) Use of dogs as animal model in different diseases and drug development (evaluation toxicity and effect).
CONCLUSIONS: The results of this review showed that interest in metabolomics is growing in veterinary research. Several canine diseases have been evaluated with some promise for potential biomarker and/or disease mechanism discovery. Because canine metabolomics is a relatively new area, the researches spread across different research areas and with few studies in each area.

Entities:  

Keywords:  Age; Analytical methods; Animal model; Breed; Diseases; Dogs; Metabolomics; Nutrition; Species; Veterinary science

Mesh:

Year:  2020        PMID: 31955274     DOI: 10.1007/s11306-020-1638-7

Source DB:  PubMed          Journal:  Metabolomics        ISSN: 1573-3882            Impact factor:   4.290


  85 in total

1.  Companion animal medicine in the age of medical genetics.

Authors:  D F Patterson
Journal:  J Vet Intern Med       Date:  2000 Jan-Feb       Impact factor: 3.333

Review 2.  Recent and potential developments of biofluid analyses in metabolomics.

Authors:  Aihua Zhang; Hui Sun; Ping Wang; Ying Han; Xijun Wang
Journal:  J Proteomics       Date:  2011-11-04       Impact factor: 4.044

3.  Assessment of analytical reproducibility of 1H NMR spectroscopy based metabonomics for large-scale epidemiological research: the INTERMAP Study.

Authors:  Marc-Emmanuel Dumas; Elaine C Maibaum; Claire Teague; Hirotsugu Ueshima; Beifan Zhou; John C Lindon; Jeremy K Nicholson; Jeremiah Stamler; Paul Elliott; Queenie Chan; Elaine Holmes
Journal:  Anal Chem       Date:  2006-04-01       Impact factor: 6.986

4.  Evaluation of Temporal Changes in Urine-based Metabolomic and Kidney Injury Markers to Detect Compound Induced Acute Kidney Tubular Toxicity in Beagle Dogs.

Authors:  M P Wagoner; Y Yang; J E McDuffie; M Klapczynski; W Buck; L Cheatham; D Eisinger; F Sace; K M Lynch; M Sonee; J-Y Ma; Y Chen; K Marshall; M Damour; L Stephen; Y P Dragan; J Fikes; S Snook; L B Kinter
Journal:  Curr Top Med Chem       Date:  2017       Impact factor: 3.295

5.  Obesity in show dogs.

Authors:  R J Corbee
Journal:  J Anim Physiol Anim Nutr (Berl)       Date:  2012-08-11       Impact factor: 2.130

6.  Ultra high resolution SFC-MS as a high throughput platform for metabolic phenotyping: application to metabolic profiling of rat and dog bile.

Authors:  Michael D Jones; Paul D Rainville; Giorgis Isaac; Ian D Wilson; Norman W Smith; Robert S Plumb
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2014-04-18       Impact factor: 3.205

7.  Increased levels of plasma acylcarnitines in obesity and type 2 diabetes and identification of a marker of glucolipotoxicity.

Authors:  Stephanie J Mihalik; Bret H Goodpaster; David E Kelley; Donald H Chace; Jerry Vockley; Frederico G S Toledo; James P DeLany
Journal:  Obesity (Silver Spring)       Date:  2010-01-28       Impact factor: 5.002

8.  An epidemiological study of environmental factors associated with canine obesity.

Authors:  E A Courcier; R M Thomson; D J Mellor; P S Yam
Journal:  J Small Anim Pract       Date:  2010-04-06       Impact factor: 1.522

Review 9.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

10.  The fecal microbiome and metabolome differs between dogs fed Bones and Raw Food (BARF) diets and dogs fed commercial diets.

Authors:  Milena Schmidt; Stefan Unterer; Jan S Suchodolski; Julia B Honneffer; Blake C Guard; Jonathan A Lidbury; Jörg M Steiner; Julia Fritz; Petra Kölle
Journal:  PLoS One       Date:  2018-08-15       Impact factor: 3.240

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  8 in total

1.  Serum metabolomics analysis reveals that weight loss in obese dogs results in a similar metabolic profile to dogs in ideal body condition.

Authors:  Thiago H A Vendramini; Henrique T Macedo; Rafael V A Zafalon; Matheus V Macegoza; Vivian Pedrinelli; Larissa W Risolia; Fernanda M M Ocampos; Juliana T Jeremias; Cristiana F F Pontieri; Eduardo Ferriolli; Luiz A Colnago; Marcio A Brunetto
Journal:  Metabolomics       Date:  2021-02-16       Impact factor: 4.290

2.  Targeted metabolomic analysis identifies increased serum levels of GABA and branched chain amino acids in canine diabetes.

Authors:  Allison L O'Kell; Clive Wasserfall; Joy Guingab-Cagmat; Bobbie-Jo M Webb-Roberston; Mark A Atkinson; Timothy J Garrett
Journal:  Metabolomics       Date:  2021-11-14       Impact factor: 4.290

3.  Metabolomics shows the Australian dingo has a unique plasma profile.

Authors:  Sonu Yadav; Russell Pickford; Robert A Zammit; J William O Ballard
Journal:  Sci Rep       Date:  2021-03-04       Impact factor: 4.379

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

Authors:  Ivana Rubić; Richard Burchmore; Stefan Weidt; Clement Regnault; Josipa Kuleš; Renata Barić Rafaj; Tomislav Mašek; Anita Horvatić; Martina Crnogaj; Peter David Eckersall; Predrag Novak; Vladimir Mrljak
Journal:  Int J Mol Sci       Date:  2022-01-29       Impact factor: 5.923

5.  Metabolomic serum abnormalities in dogs with hepatopathies.

Authors:  Carolin A Imbery; Frank Dieterle; Claudia Ottka; Corinna Weber; Götz Schlotterbeck; Elisabeth Müller; Hannes Lohi; Urs Giger
Journal:  Sci Rep       Date:  2022-03-29       Impact factor: 4.379

6.  Correlation between metabolomic profile constituents and feline pancreatic lipase immunoreactivity.

Authors:  Magdalena Maria Krasztel; Michał Czopowicz; Olga Szaluś-Jordanow; Agata Moroz; Marcin Mickiewicz; Jarosław Kaba
Journal:  J Vet Intern Med       Date:  2022-01-13       Impact factor: 3.333

7.  Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine.

Authors:  Claudia Ottka; Jenni Puurunen; Elisabeth Müller; Corinna Weber; Ruth Klein; Hannes Lohi
Journal:  Metabolomics       Date:  2022-07-20       Impact factor: 4.747

Review 8.  Obesity, inflammation, and cancer in dogs: Review and perspectives.

Authors:  Pedro H Marchi; Thiago H A Vendramini; Mariana P Perini; Rafael V A Zafalon; Andressa R Amaral; Vanessa A Ochamotto; Juliano C Da Silveira; Maria L Z Dagli; Marcio A Brunetto
Journal:  Front Vet Sci       Date:  2022-10-03
  8 in total

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