LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Escalona, E. E.; Leng, J.; Dona, A. C.; Merrifield, C. A.; Holmes, E.; Proudman, C. J.; Swann, J. R. (2015)
Publisher: Wiley
Languages: English
Types: Article
Subjects:
Identifiers:doi:10.1111/evj.12333
Summary\ud \ud Reasons for performing study: Metabonomics is emerging as a powerful tool for disease screening and investigating mammalian metabolism. This study aims to create a metabolic framework by producing a preliminary reference guide for the normal equine metabolic milieu.\ud \ud Objectives: To metabolically profile plasma, urine and faecal water from healthy racehorses using high resolution 1H-NMR spectroscopy and to provide a list of dominant metabolites present in each biofluid for the benefit of future research in this area.\ud \ud Study design: This study was performed using seven Thoroughbreds in race training at a single time-point. Urine and faecal samples were collected non-invasively and plasma was obtained from samples taken for routine clinical chemistry purposes.\ud \ud Methods: Biofluids were analysed using 1H-NMR spectroscopy. Metabolite assignment was achieved via a range of 1D and 2D experiments.\ud \ud Results: A total of 102 metabolites were assigned across the three biological matrices. A core metabonome of 14 metabolites was ubiquitous across all biofluids. All biological matrices provided a unique window on different aspects of systematic metabolism. Urine was the most populated metabolite matrix with 65 identified metabolites, 39 of which were unique to this biological compartment. A number of these were related to gut microbial host co-metabolism. Faecal samples were the most metabolically variable between animals; acetate was responsible for the majority (28%) of this variation. Short chain fatty acids were the predominant features identified within this biofluid by 1H-NMR spectroscopy.\ud \ud Conclusions: Metabonomics provides a platform for investigating complex and dynamic interactions between the host and its consortium of gut microbes and has the potential to uncover markers for health and disease in a variety of biofluids. Inherent variation in faecal extracts along with the relative abundance of microbial-mammalian metabolites in urine and invasive nature of plasma sampling, infers that urine is the most appropriate biofluid for the purposes of metabonomic analysis.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • MM, O.D., Harris, H.M., Jeffery, I.B., Claesson, M.J., Younge, B., PW, O.T. and Ross, R.P. (2013) The core faecal bacterial microbiome of Irish Thoroughbred raceehorses. Lett. Appl. Microbiol. 57, 492-501.
    • Bolllard, M.E., Holmes, E., Lindon, J.C., Mitchell, S.C., Branstetter, D., Zhang, W. and Nicholson, J.K. (2001) Investigations into biochemical changes due to diurnal variation and estrus cycle in female rats using high-resolution H-1 NMR spectroscopy of ucrineand pattern recognition. Analytical Biochemistry 295, 194-202.
    • Sauide,E.J. and Sykes, B.D. (2007) Urine stability for metabolomic studies: effects of preparation and storage. Metabolomics 3, 19-27.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article