Malignant melanoma is one of the most common and aggressive tumors in the oral cavity of dog. The tumor has a poor prognosis, and methods for diagnosis and prediction of prognosis after treatment are required. Here, we examined metabolite profiling using gas chromatography-mass spectrometry (GC-MS) for development of a discriminant model for evaluation of prognosis. Metabolite profiles were evaluated in healthy and melanoma plasma samples using orthogonal projection to latent structure using discriminant analysis (OPLS-DA). Cases that were predicted to be healthy using the OPLS discriminant model had no advanced lesions after radiation therapy. These results indicate that metabolite profiling may be useful in diagnosis and prediction of prognosis of canine malignant melanoma.
Canine lymphoma is a common cancer that has high rates of complete remission
with combination chemotherapy. However, the duration of remission varies based on multiple
factors, and there is a need to develop a method for early detection of recurrence. In
this study, we compared the metabolites profiles in serum from 21 dogs with lymphoma and
13 healthy dogs using gas chromatography mass spectrometry (GC-MS). The lymphoma group was
separated from the control group in an orthogonal projection to latent structure with
discriminant analysis (OPLS-DA) plot using ions of m/z 100–600, indicating that the
metabolites profiles in lymphoma cases differed from those in healthy dogs. The lymphoma
group was also separated from the control group on OPLS-DA plot using 29 metabolites
identified in all serum samples. Significant differences were found for 16 of these
metabolites with higher levels in the lymphoma group for 15 of the metabolites and lower
levels for inositol. An OPLS-DA plot showed separation of the lymphoma and healthy groups
using these 16 metabolites only. These results indicate that metabolites profile with
GC-MS may be a useful tool for detection of potential biomarker and diagnosis of canine
lymphoma.
Epilepsy is a common neurological disorder with seizures, but diagnostic
approaches in veterinary clinics remain limited. Cerebrospinal fluid (CSF) is a body fluid
used for diagnosis in veterinary medicine. In this study, we explored canine epilepsy
diagnostic biomarkers using gas chromatography-mass spectrometry (GC-MS)-based metabolic
profiling of CSF and multivariate data analysis. Profiles for subjects with idiopathic
epilepsy differed significantly from those of healthy controls and subjects with
symptomatic epilepsy. Among 60 identified metabolites, the levels of 20 differed
significantly among the three groups. Glutamic acid was significantly increased in
idiopathic epilepsy, and some metabolites including ascorbic acid were changed in both
forms of epilepsy. These findings show that metabolic profiles of CSF differ between
idiopathic and symptomatic epilepsy and that metabolites including glutamic acid and
ascorbic acid in CSF may be useful for diagnosis of canine epilepsy.
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