4.7 Article

Suitability of Dried Blood Spots for Accelerating Veterinary Biobank Collections and Identifying Metabolomics Biomarkers With Minimal Resources

Journal

FRONTIERS IN VETERINARY SCIENCE
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fvets.2022.887163

Keywords

dried blood spots (DBSs); biobank; metabolomics; biomarker; dog; cat

Funding

  1. Mars Petcare UK
  2. Phenome Centre Birmingham [MR/M009157/1]

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Biomarker discovery using biobank samples collected from veterinary clinics can provide insights into the diverse population of pets and accelerate diagnostic development. Metabolomics analysis of DBS samples is a valuable approach to detect health/disease phenotypes. The study demonstrates that DBS samples are suitable for biomarker discovery.
Biomarker discovery using biobank samples collected from veterinary clinics would deliver insights into the diverse population of pets and accelerate diagnostic development. The acquisition, preparation, processing, and storage of biofluid samples in sufficient volumes and at a quality suitable for later analysis with most suitable discovery methods remain challenging. Metabolomics analysis is a valuable approach to detect health/disease phenotypes. Pre-processing changes during preparation of plasma/serum samples may induce variability that may be overcome using dried blood spots (DBSs). We report a proof of principle study by metabolite fingerprinting applying UHPLC-MS of plasma and DBSs acquired from healthy adult dogs and cats (age range 1-9 years), representing each of 4 dog breeds (Labrador retriever, Beagle, Petit Basset Griffon Vendeen, and Norfolk terrier) and the British domestic shorthair cat (n = 10 per group). Blood samples (20 and 40 mu L) for DBSs were loaded onto filter paper, air-dried at room temperature (3 h), and sealed and stored (4 degrees C for ~72 h) prior to storage at -80 degrees C. Plasma from the same blood draw (250 mu L) was prepared and stored at -80 degrees C within 1 h of sampling. Metabolite fingerprinting of the DBSs and plasma produced similar numbers of metabolite features that had similar abilities to discriminate between biological classes and correctly assign blinded samples. These provide evidence that DBSs, sampled in a manner amenable to application in in-clinic/in-field processing, are a suitable sample for biomarker discovery using UHPLC-MS metabolomics. Further, given appropriate owner consent, the volumes tested (20-40 mu L) make the acquisition of remnant blood from blood samples drawn for other reasons available for biobanking and other research activities. Together, this makes possible large-scale biobanking of veterinary samples, gaining sufficient material sooner and enabling quicker identification of biomarkers of interest.

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