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Peer-reviewed veterinary case report

NMR metabolomic profiling of cerebrospinal fluid from dogs with meningoencephalitis of unknown origin demonstrates metabolic similarities to multiple sclerosis.

Journal:
Metabolomics : Official journal of the Metabolomic Society
Year:
2026
Authors:
Gonçalves, Rita et al.
Affiliation:
Department of Veterinary Science · United Kingdom
Species:
dog

Plain-English summary

Meningoencephalitis of unknown origin (MUO) is a serious and often life-threatening condition in dogs that shares some characteristics with multiple sclerosis (MS) in humans. Researchers studied the cerebrospinal fluid (CSF) from dogs diagnosed with MUO, along with dogs with steroid responsive meningitis-arteritis (SRMA) and idiopathic epilepsy (IE), to see how their metabolic profiles compared. They found significant differences in the levels of certain substances in the CSF, particularly those related to energy use, suggesting that dogs with MUO have a higher energy demand. This study is the first to look at these metabolic changes in MUO and may help in understanding the disease better and finding new treatment options. Overall, the findings indicate that the energy metabolism pathways in MUO are altered, similar to what is seen in MS.

Abstract

INTRODUCTION: Meningoencephalitis of unknown origin (MUO) in dogs is a debilitating and often fatal disease that shows similarities to multiple sclerosis (MS) in humans. The metabolomic profile of MUO has not been previously reported. OBJECTIVES: To compare the metabolomic profile of cerebrospinal fluid (CSF) of dogs with MUO with two other diseases affecting the central nervous system in dogs, steroid responsive meningitis-arteritis (SRMA) and idiopathic epilepsy (IE), and to determine if the metabolic profile of MUO shows similarities with that of MS. METHODS: Untargeted and semi-targeted metabolomics usingH nuclear magnetic resonance (NMR) was performed on surplus CSF of dogs diagnosed with MUO, SRMA and IE. Data were examined by multivariate and univariate statistical analysis and pathway analysis. RESULTS: Fifty-six metabolites were identified in 56 dogs. The multivariate analysis of the canine data highlighted significant differences between the different disease groups. Most metabolites were increased in SRMA and decreased in IE when compared to MUO. Most affected metabolites included those involved in energy metabolism. Pathway analysis revealed that these metabolites were mainly involved in pyruvate metabolism, glycolysis or gluconeogenesis, glycine, serine and threonine metabolism and alanine, aspartate and glutamate metabolism. CONCLUSION: These results suggest that there is an increased energy demand in MUO. Our findings provide a first-time overview of CSF metabolic changes in MUO and offer potential insights for possible underlying pathogenesis and treatment strategies. Altered energy metabolism pathways are also reported in MS, further supporting the use of MUO as a spontaneous animal model for this disease.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/41663848/