DOI: 10.5061/dryad.tb2rbp031
title: Data from: Metabolic changes associated with two endocrine abnormalities in dogs: elevated fructosamine and low thyroxine

description: Metabolomics studies in canine endocrine abnormalities are sparse and
 basic information on these abnormalities must be generated. This dataset
 includes the 1H NMR metabolic profiling results of 151 dog serum samples.
 The samples have been collected in an ethical way, being leftovers of
 clinical diagnostic samples. The sample set includes 25 control samples
 based on unremarkable routine clinical chemistry and hematology, 79
 samples exhibiting high fructosamine which reflects poor glycemic control,
 and 47 samples with low thyroxine, a metabolically important thyroid
 hormone. The metabolite data and metadata were utilized in the study:
 Ottka et al. Metabolic changes associated with two endocrine abnormalities
 in dogs: elevated fructosamine and low thyroxine. The control group
 results were utilized also in: Ottka et al. Serum NMR metabolomics
 uncovers multiple metabolic changes in phenobarbital-treated dogs.
description: The dataset includes the unprocessed metabolite data in original
 units. The used samples are leftovers of canine clinical diagnostic serum
 samples submitted to a veterinary laboratory provider (LABOKLIN GmbH
 & Co KG, Bad Kissingen, Germany).  Metabolite
 data was generated using a validated canine nuclear magnetic resonance
 (NMR) spectroscopy metabolomics platform that quantifies 123 measurands
 (Ottka, Vapalahti, et al. 2021). The method is described elsewhere in
 further detail (Ottka, Vapalahti, et al. 2021; Soininen et al. 2009; Würtz
 et al. 2017). Briefly, the method utilizes a Bruker AVANCE III HD 500MHz
 NMR spectrometer with a 5 mm triple-channel (1H, 13C, 15N) z-gradient
 Prodigy probe head and SampleJet (Bruker Corp., Billerica, Massachusetts,
 USA) as the sample charger. Sample preparation includes light mixing of
 the sample, removal of possible precipitate, sample transfer to an NMR
 tube and mixing with sodium phosphate buffer using a PerkinElmer JANUS
 Automated Workstation with an 8-tip dispense arm with Varispan
 (PerkinElmer Inc., Waltham, Massachusetts, USA). Two NMR spectra are
 acquired automatically: the LIPO and LMWM windows; the LIPO window
 comprising a conventional water-suppressed 1H NMR spectrum with resonances
 from macromolecules and lipids, whereas the LMWM window uses
 T2-relaxation-filtering and is used for the detection of
 low-molecular-weight metabolites (Soininen et al. 2009). The NMR spectra
 are automatically processed with background control, baseline removal, and
 signal alignments, and absolute metabolite concentrations are obtained
 with a proprietary software that bases on regression modeling, and has
 integrated quality control (Würtz et al. 2017).
 Ref:  Ottka, C., Vapalahti, K., Puurunen, J.,
 Vahtera, L., & Lohi, H. (2021). A novel canine nuclear magnetic
 resonance spectroscopy-based metabolomics platform: Validation and sample
 handling. Veterinary Clinical Pathology, n/a(50), 410–426.
 https://doi.org/https://doi.org/10.1111/vcp.12954
 Soininen, P., Kangas, A. J., Wurtz, P., Tukiainen, T., Tynkkynen,
 T., Laatikainen, R., et al. (2009). High-throughput serum NMR metabonomics
 for cost-effective holistic studies on systemic metabolism. The Analyst,
 134(9), 1781–1785. https://doi.org/10.1039/b910205a
 Würtz, P., Kangas, A. J., Soininen, P., Lawlor, D. A., Davey
 Smith, G., & Ala-Korpela, M. (2017). Quantitative Serum Nuclear
 Magnetic Resonance Metabolomics in Large-Scale Epidemiology: A Primer on
 -Omic Technologies. American Journal of Epidemiology, 186(9), 1084–1096.
 https://doi.org/10.1093/aje/kwx016
description: See the README file for further information on this dataset.
 Missing values are expressed as blank cells.