Evidence map›Paper›PMID 28111530›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2017

Ultra high performance liquid chromatography-high resolution mass spectrometry plasma lipidomics can distinguish between canine breeds despite uncontrolled environmental variability and non-standardized diets.

Amanda J Lloyd, Manfred Beckmann, Thomas Wilson, Kathleen Tailliart, David Allaway, John Draper

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
  2. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Alterations of Lipid Metabolism With Age and Weight in Companion Dogs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  13. Metabolome of canine and human saliva: a non-targeted metabolomics study.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  14. Canine metabolomics advances.Metabolomics : Official journal of the Metabolomic Society · 2020
    Review
  15. Article
  16. Article
  17. Serum lipidome analysis of healthy beagle dogs receiving different diets.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amanda J LloydInstitute of Biological Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
Manfred BeckmannInstitute of Biological Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
Thomas WilsonInstitute of Biological Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
Kathleen TailliartInstitute of Biological Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.
David AllawayWALTHAM Centre for Pet Nutrition, Freeby Lane, Waltham-on-the-Wolds, Melton Mowbray, Leicestershire, UK.
John DraperInstitute of Biological Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectivesThe purpose of this study was to use high accurate mass metabolomic profiling to investigate differences within a phenotypically diverse canine population, with breed-related morphological, physiological and behavioural differences. Previously, using a broad metabolite fingerprinting approach, lipids appear to dominate inter- and intra- breed discrimination. The purpose here was to use Ultra High Performance Liquid Chromatography-High Resolution Mass Spectrometry (UHPLC-HRMS) to identify in more detail, inter-breed signatures in plasma lipidomic profiles of home-based, client-owned dogs maintained on different diets and fed according to their owners' feeding regimens.

methodsNine dog breeds were recruited in this study (Beagle, Chihuahua, Cocker Spaniel, Dachshund, Golden Retriever, Greyhound, German Shepherd, Labrador Retriever and Maltese: 7-12 dogs per breed). Metabolite profiling on a MTBE lipid extract of fasted plasma was performed using UHPLC-HRMS.

resultsMultivariate modelling and classification indicated that the main source of lipidome variance was between the three breeds Chihuahua, Dachshund and Greyhound and the other six breeds, however some intra-breed variance was evident in Labrador Retrievers. Metabolites associated with dietary intake impacted on breed-associated variance and following filtering of these signals out of the data-set unique inter-breed lipidome differences for Chihuahua, Golden Retriever and Greyhound were identified.

conclusionBy using a phenotypically diverse home-based canine population, we were able to show that high accurate mass lipidomics can enable identification of metabolites in the first pass plasma profile, capturing distinct metabolomic variability associated with genetic differences, despite environmental and dietary variability.

Indexed as

Accurate mass metabolomic profilingCanine breedsLipidomicsMetabolomicsPlasma

Identifiers

PMID28111530
PMCPMC5216087

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.