A multi-marker NMR metabolomics signature for the superior detection of chronic and acute systemic inflammation in dogs: a comparative study with C-reactive protein.

BACKGROUND

Identifying inflammatory states is vital in veterinary diagnostics, yet reliable markers for chronic, low-grade inflammation are lacking. This study aims to characterize metabolic alterations in diverse inflammatory conditions and evaluate a novel multi-marker model.

METHODS

Plasma from 175 healthy and 207 diseased dogs (representing infectious, neoplastic, and degenerative pathologies) was analyzed via canine-validated 1H NMR spectroscopy. Logistic regression was employed to identify both general and disease-specific metabolic alterations. A multivariable model was developed using forward stepwise selection, and its diagnostic performance was compared against that of C-reactive protein (CRP), albumin, glycoprotein acetyls (GlycA), and a combination of GlycA and albumin.

RESULTS

Metabolic changes were observed across all the conditions studied, with some alterations specific to individual diseases and others common across conditions. The final six-metabolite model (albumin, GlycA, pyruvate, alanine, glucose, and phenylalanine/tyrosine ratio) showed excellent performance (AUC=0.82). It significantly outperformed CRP in detecting all chronic diseases (0.68–0.89 vs. 0.46–0.60) and acute gastroenteritis ( 0.86 vs. 0.71).

CONCLUSIONS

Metabolic profiling provides a superior diagnostic approach to CRP, particularly for chronic inflammatory conditions, by capturing systemic signatures that traditional markers miss.