Differences in metabolic profiles between the Burmese, the Maine Coon and the Birman cat - three breeds with varying risk for diabetes mellitus

SND-ID: 2021-58

Description Data and documentation

Creator/Principal investigator(s)

Bodil Ström Holst - Swedish University of Agricultural Sciences, Department of Clinical Sciences orcid

Malin Öhlund - Medical Products Agency orcid

Ali Moazzami - Swedish University of Agricultural Sciences, Department of Molecular Sciences orcid

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

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Language

English

Research principal, contributors, and funding

Contributor(s)

Jens Häggström - Swedish University of Agricultural Sciences, Department of Clinical Sciences orcid

Ulrika Hermansson - Swedish University of Agricultural Sciences, University Animal Hospital

Ann Pettersson - Swedish University of Agricultural Sciences, Department of Clinical Sciences orcid

Helene Hansson-Hamlin - Swedish Unversity of Agricultural Sciences, Department of Clinical Sciences

Funding

  • Funding agency: Research Fund for Companion Animals at SLU
  • Funding agency’s reference number: 221760000
  • Project name on the application: Diabetes hos katt- fokus på riskrasen Burma
Protection and ethical review

Data contains personal data

No

Ethics Review

Uppsala

Method

Unit of analysis

Population

Cats of three breeds: Birman, Burmese and Maine Coon

Time Method

Sampling procedure

Other

Time period(s) investigated

2013–2015

Geographic coverage

Geographic spread

Geographic location: Sweden

Topic and keywords
Publications
Dataset
Information on healthy cats of three breeds; Burmese, Birman and Maine coon. Data on the cats (e.g. age and weight) and on serum blood concentrations.

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

Citation

Bodil Ström Holst, Malin Öhlund, Ali Moazzami, Elisabeth Mullner, Fredrick Anderson. Swedish University of Agricultural Sciences, Department of Clinical Sciences (2021). <em>Information on healthy cats of three breeds; Burmese, Birman and Maine coon. Data on the cats (e.g. age and weight) and on serum blood concentrations.</em> Swedish National Data Service. Version 1. <a href="https://doi.org/10.5878/7qsz-6j80">https://doi.org/10.5878/7qsz-6j80</a>

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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 orcid

Malin Öhlund - Medical Products Agency orcid

Ali Moazzami - Swedish University of Agricultural Sciences, Department of Molecular Sciences orcid

Elisabeth Mullner - Swedish University of Agricultural Sciences, Department of Molecular Sciences

Fredrick Anderson - Umeå university, Department of Medical Biosciences

Data collection

  • Time period(s) for data collection: 2013–2015

Variables

83

Response rate/participation rate

100

Published: 2021-04-06