Canine Serum, Plasma, and Urine Metabolite Profiles from a Feeding Trial

Targeted metabolomics data from matched canine biospecimens, including serum, EDTA plasma, lithium-heparin plasma, and urine. The dataset contains measurements for 88 metabolites in serum and lithium-heparin plasma, and 85 in EDTA plasma, generated via UPLC-MS/MS. It was created by Robin Moore and published on figshare under a CC-BY-4.0 license, with a last update in May 2026.

Use Cases

• Compare metabolite concentration differences between serum, EDTA plasma, and lithium-heparin plasma based on the described cross-matrix analysis.
• Assess the utility of urine as a complementary matrix versus a blood surrogate based on the described distinct profile.
• Investigate diet-associated metabolic variation in dogs using the serum data, which showed the clearest separation.
• Explore health-associated metabolic separation, though described as weak and exploratory, using the global matrix effects analysis.

Strengths

• Data includes matched samples from the same animals, allowing for direct cross-matrix comparisons.
• Specific metabolite counts are provided: 88 for serum, 85 for EDTA plasma, and 88 for lithium-heparin plasma after filtering.
• Statistical analyses, including PCA and PERMANOVA, are described, indicating a structured analytical approach.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small at 67.7 KB, indicating limited scope.

Provenance

Source

figshare, author Robin Moore.

Collection Method

Targeted ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) performed on biospecimens from client-owned dogs in a feeding trial.

Freshness

Last updated 2026-05-21 04:37:12; freshness should be verified.