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

Robin Moore's dataset compares targeted small polar metabolite profiles across matched canine serum, EDTA plasma, lithium-heparin plasma, and urine samples. The data was generated via ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) from client-owned dogs in a feeding trial. After filtering, the analysis includes 88 metabolites for serum, 85 for EDTA plasma, and 88 for lithium-heparin plasma.

Use Cases

• Compare cross-matrix metabolite agreement based on Pearson correlation and mean paired log10 concentration differences.
• Assess diet-associated metabolic variation using principal component analysis (PCA) and PERMANOVA results.
• Evaluate the suitability of different biofluids (serum, plasma, urine) as complementary matrices for canine metabolomics.

Strengths

• Includes matched biospecimen comparisons across four biofluid types (serum, two plasma types, urine).
• Analysis is based on a targeted metabolomics panel with 85-88 metabolites after filtering.
• Statistical assessment includes global matrix effects and diet-associated separation with reported pseudo-R² values.

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 (88.1 KB), indicating a limited scope of data.

Provenance

Source

Robin Moore via figshare.

Collection Method

Targeted UPLC-MS/MS performed on matched biospecimens from client-owned dogs in a feeding trial.

Freshness

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