We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
Lloyd, Amanda J. Beckmann, Manfred Wilson, Thomas Tailliart, Kathleen Allaway, David and Draper, John 2017. Ultra high performance liquid chromatography–high resolution mass spectrometry plasma lipidomics can distinguish between canine breeds despite uncontrolled environmental variability and non-standardized diets. Metabolomics, Vol. 13, Issue. 2,
Allaway, David Gilham, Matthew S. Colyer, Alison Jönsson, Thomas J. Swanson, Kelly S. Morris, Penelope J. and Ashton, Nick 2016. Metabolic Profiling Reveals Effects of Age, Sexual Development and Neutering in Plasma of Young Male Cats. PLOS ONE, Vol. 11, Issue. 12, p. e0168144.
de Godoy, Maria R.C. Hervera, Marta Swanson, Kelly S. and Fahey, George C. 2016. Innovations in Canine and Feline Nutrition: Technologies for Food and Nutrition Assessment. Annual Review of Animal Biosciences, Vol. 4, Issue. 1, p. 311.
Lloyd, Amanda J. Beckmann, Manfred Tailliart, Kathleen Brown, Wendy Y. Draper, John and Allaway, David 2016. Characterisation of the main drivers of intra- and inter- breed variability in the plasma metabolome of dogs. Metabolomics, Vol. 12, Issue. 4,
Deng, Ping Jones, Janice C. and Swanson, Kelly S. 2014. Effects of dietary macronutrient composition on the fasted plasma metabolome of healthy adult cats. Metabolomics, Vol. 10, Issue. 4,
Allaway, David Kamlage, Beate Gilham, Matthew S. Hewson-Hughes, Adrian K. Wiemer, Jan C. Colyer, Alison and Rein, Dietrich 2013. Effects of dietary glucose supplementation on the fasted plasma metabolome in cats and dogs. Metabolomics, Vol. 9, Issue. 5, p. 1096.
The purpose of the present study was first to identify drivers of variance in plasma metabolite profiles of cats and dogs that may affect the interpretation of nutritional metabolomic studies. A total of fourteen cats and fourteen dogs housed in environmentally enriched accommodation were fed a single batch of diet to maintain body weight. Fasting blood samples were taken on days 14, 16 and 18 of the study. Gas chromatography–mass spectrometry (GC–MS), liquid chromatography (LC)–MS/MS and solid-phase extraction–LC–MS/MS analyses were used for metabolite profiling. Principal component (PC) analysis that indicated 31 and 27 % of the variance was explained in PC1 and PC2 for cats and dogs, respectively, with most individuals occupying a unique space. As the individual was a major driver of variance in the plasma metabolome, the second objective was to identify metabolites associated with the individual variation observed. The proportion of intra- and inter-individual variance was calculated for 109 cat and 101 dog metabolites with a low intra-individual variance (sd < 0·05). Of these, fifteen cat and six dog metabolites had inter-individual variance accounting for at least 90 % of the total variance. There were four metabolites common to both species (campesterol, DHA, a cholestenol and a sphingosine moiety). Many of the metabolites with >75 % inter-individual variance were common to both species and to similar areas of metabolism. In summary, the individual is an important driver of variance in the fasted plasma metabolome, and specific metabolites and areas of metabolism may be differentially regulated by individuals in two companion animal species.
To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Find out more about the Kindle Personal Document Service.
To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about sending content to Dropbox.
To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about sending content to Google Drive.
Email your librarian or administrator to recommend adding this journal to your organisation's collection.
Loading metrics...
Loading metrics...
* Views captured on Cambridge Core between September 2016 - 13th July 2017. This data will be updated every 24 hours.
