Peer-reviewed veterinary case report
Metabolic changes in dog brain fluid with unknown meningoencephalitis
By Gonçalves, Rita et al.·Published in Metabolomics : Official journal of the Metabolomic Society·2026·Department of Veterinary Science, United Kingdom·View original on PubMed →
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Original publication title: NMR metabolomic profiling of cerebrospinal fluid from dogs with meningoencephalitis of unknown origin demonstrates metabolic similarities to multiple sclerosis.
- Species:
- dog
Plain-English summary
A group of dogs diagnosed with meningoencephalitis of unknown origin (MUO) showed signs of neurological issues, which can be severe and sometimes fatal. Researchers analyzed their cerebrospinal fluid and found changes in metabolites related to energy use, suggesting that these dogs have increased energy demands. This study highlights the metabolic similarities between MUO in dogs and multiple sclerosis in humans, which could help in understanding the disease better and developing treatment strategies. While specific treatments were not detailed, recognizing these metabolic changes is a step toward improving care for affected dogs.
People also search for: dog meningoencephalitis treatment · dog neurological symptoms · multiple sclerosis in dogs · cerebrospinal fluid analysis in dogs
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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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/41663848/