Evidence map›Paper›PMID 42254893›Full record

ArticleFrontiers in veterinary science2026

Differences among canine serum, plasma and urine metabolite profiles from samples that were collected at the same time.

Robin Moore, Johanna Anturaniemi, Vidya Velagapudi, Anna Hielm-Björkman

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Article in Frontiers in veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Robin MooreDepartment of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
Johanna AnturaniemiDepartment of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.
Vidya VelagapudiMetabolomics Unit, Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
Anna Hielm-BjörkmanDepartment of Equine and Small Animal Medicine, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biospecimen choice can substantially influence metabolite measurements, yet matched comparisons of serum, EDTA plasma, lithium-heparin plasma, and urine remain limited in canine targeted metabolomics. Objectives: To evaluate cross-matrix comparability of targeted small polar metabolite profiles in dogs and to assess how different biospecimens capture diet- and health-associated variation. Animals: Client-owned dogs from a previously reported feeding trial. Methods: Targeted ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was performed on matched biospecimens from a baseline blood-matrix cohort (serum, EDTA plasma, lithium-heparin plasma) and an end-of-trial serum-urine cohort. Metabolites with >20% missing values within a matrix and samples with >20% missing metabolite values within a biofluid were excluded. Cross-matrix agreement was assessed using Pearson correlation and mean paired log Results: After filtering, 88 metabolites remained for serum, 85 for EDTA plasma, and 88 for lithium-heparin plasma in the blood-matrix cohort. Globally, EDTA plasma separated clearly from both serum and lithium-heparin plasma, whereas serum and lithium-heparin plasma overlapped substantially. At the metabolite level, 10/84 (11.9%) serum-EDTA plasma, 16/88 (18.2%) serum-lithium-heparin plasma, 20/84 (23.8%) lithium-heparin plasma-EDTA plasma, and 4/75 (5.3%) serum-urine comparisons were comparable to varying degrees. Serum showed the clearest diet-associated separation at baseline (PERMANOVA pseudo- Conclusions and Clinical Importance: Biospecimen choice materially affects targeted metabolite profiling in dogs. Serum and lithium-heparin plasma were globally more similar to each other than either was to EDTA plasma, whereas urine was a distinct complementary matrix rather than a blood surrogate. Serum was the most robust matrix for detecting diet-associated variation.

Indexed as

caninemetabolomicsplasmaserumurine

Identifiers

PMID42254893
PMCPMC13233384

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