Creator/Principal investigator(s)
Bodil Ström Holst
- Swedish University of Agricultural Sciences, Department of Clinical Sciences
Malin Öhlund
- Medical Products Agency
Ali Moazzami
- Swedish University of Agricultural Sciences, Department of Molecular Sciences
Elisabeth Mullner - Swedish University of Agricultural Sciences, Department of Molecular Sciences
Fredrick Anderson - Umeå university, Department of Medical Biosciences
Description
Feline diabetes mellitus shares many features with type 2 diabetes in people, regarding clinical presentation, physiology, and pathology. A breed predisposition for type 2 diabetes has been identified, with the Burmese breed at a fivefold increased risk of developing the condition compared to other purebred cats. We aimed to characterize the serum metabolome in cats (n = 63) using nuclear magnetic resonance metabolomics, and to compare the metabolite pattern of Burmese cats with that of two cat breeds of medium or low risk of diabetes, the Maine coon (MCO) and Birman cat, respectively. Serum concentrations of adiponectin, insulin and insulin-like growth factor-1 were also measured (n = 94). Burmese cats had higher insulin and lower adiponectin concentrations than MCO cats. Twenty one metabolites were discriminative between breeds using a multivariate statistical approach and 15 remained significant after adjustment for body weight and body condition score. Burmese cats had higher plasma levels of 2-hydroxybutyrate relative to MCO and Birman cats and increased concentrations of 2-oxoisocaproic
... Show more..Language
English
Research principal
Principal's reference number
SLU.kv.2016.4.1-160
Responsible department/unit
Department of Clinical Sciences
Contributor(s)
Jens Häggström
- Swedish University of Agricultural Sciences, Department of Clinical Sciences
Ulrika Hermansson - Swedish University of Agricultural Sciences, University Animal Hospital
Ann Pettersson
- Swedish University of Agricultural Sciences, Department of Clinical Sciences
Helene Hansson-Hamlin - Swedish Unversity of Agricultural Sciences, Department of Clinical Sciences
Data contains personal data
No
Ethics Review
Uppsala
Unit of analysis
Population
Cats of three breeds: Birman, Burmese and Maine Coon
Time Method
Sampling procedure
Time period(s) investigated
2013 – 2015
Geographic spread
Geographic location: Sweden
Research area
Plants and animals
(CESSDA Topic Classification)
Clinical Science
(The Swedish standard of fields of research 2011)
Öhlund M, Müllner E, Moazzami A, Hermansson U, Pettersson A, Anderson F, Häggström J, Hansson-Hamlin H, Holst, BS (2021). Differences in metabolic profiles between the Burmese, the Maine coon and the Birman cat—Three breeds with varying risk for diabetes mellitus. PLoS ONE 16(4): e0249322
DOI:
https://doi.org/10.1371/journal.pone.0249322
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Associated documentation
Data_on_NMR-metabolomics_cats_EXPLANATION.csv
Data_on_NMR-metabolomics_cats_EXPLANATION.xlsx
Descriptive_Data_Individual_cats_EXPLANATION.csv
Descriptive_Data_Individual_cats_EXPLANATION.xlsx
Descriptive_Data_hormones_and_lipoproteins_individual_cats_EXPLANATION.csv
Descriptive_Data_hormones_and_lipoproteins_individual_cats_EXPLANATION.xlsx
Description
Results from analysis of blood samples from healthy cats of three breeds: Burmese, Birman and Maine coon, are included. A clinical examination was performed on the cats and information noted. Hormones were analysed in serum using immunological methods. Lipoproteins were analysed using HPLC (high performance liquid chromatography) and metabolomics using NMR (nuclear magnetic resonance) spectroscopy.Version 1
https://doi.org/10.5878/7qsz-6j80
Citation
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Data format / data structure
Numeric
Text
Creator/Principal investigator(s)
Bodil Ström Holst
- Swedish University of Agricultural Sciences, Department of Clinical Sciences
Malin Öhlund
- Medical Products Agency
Ali Moazzami
- Swedish University of Agricultural Sciences, Department of Molecular Sciences
Elisabeth Mullner - Swedish University of Agricultural Sciences, Department of Molecular Sciences
Fredrick Anderson - Umeå university, Department of Medical Biosciences
Keywords
Variables
83
Response rate/participation rate
100%