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OBJECTIVE To measure expression of microRNAs (miRNAs) in plasma and in extracellular vesicles (EVs) derived from plasma for dogs with glioma and dogs with other brain diseases. SAMPLE Plasma samples from 11 dogs with glioma and 19 control dogs with various other brain diseases. PROCEDURES EVs were isolated from plasma samples by means of ultracentrifugation. Expression of 4 candidate reference miRNAs (let-7a, miR-16, miR-26a, and miR-103) and 4 candidate target miRNAs (miR-15b, miR-21, miR-155, and miR-342-3p) was quantified with reverse transcription PCR assays. Three software programs were used to select the most suitable reference miRNAs from among the 4 candidate reference miRNAs. Expression of the 4 target miRNAs was then calculated relative to expression of the reference genes in plasma and EVs, and relative expression was compared between dogs with glioma and control dogs with other brain diseases. RESULTS The most suitable reference miRNAs were miR-16 for plasma and let-7a for EVs. Relative expression of miR-15b in plasma and in EVs was significantly higher in dogs with glioma than in control dogs. Relative expression of miR-342-3p in EVs was significantly higher in dogs with glioma than in control dogs. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested that miR-15b and miR-342-3p have potential as noninvasive biomarkers for differentiating glioma from other intracranial diseases in dogs. However, more extensive analysis of expression in specific glioma subtypes and grades, compared with expression in more defined control populations, will be necessary to assess their clinical relevance.

BackgroundLymphocyte subset analysis is clinically applied in human medicine. However, lymphocyte subset analysis is rarely used in small animal practice. We hypothesized that lymphocyte subsets analysis was useful in small animal practice as a biomarker for evaluating immune competence and predicting the disease prognosis. Lymphocyte subset analysis was performed prospectively for pyometra, a common disease in dogs, to assess its clinical usefulness in small animal practice.ResultsThis study included 29 dogs diagnosed with pyometra. They were classified into group 1 and group 2 on the basis of clinical course postoperatively. Sixteen dogs were classified in group 1 with no adverse events postoperatively. Thirteen dogs experienced adverse events such as increase in C-reactive protein concentration and white blood cell count, discharge from operation site, and hypoglycemia. These dogs were classified as group 2. Nine dogs were below the reference interval for the lymphocyte subset, eight of which were in group 2. Group 2 included significantly more dogs with lymphocyte subset abnormalities (p = 0.005). In the multivariable logistic regression analysis, only the result of lymphocyte subset analysis was significantly associated with adverse events (p = 0.02, 95% confidence interval = 1.68–192). Most dogs in group 2 were successfully treated.ConclusionsThese results indicate that lymphocyte subset analysis is useful as a prognostic tool for pyometra. Further studies are necessary for evaluating the clinical usefulness of lymphocyte subset analysis in pyometra and other diseases.

A 9-year-old neutered male Wire Fox Terrier presented with an 1-month history of hindlimb paresis. Magnetic resonance imaging revealed a contrast-enhanced mass at the level of the L2 vertebral canal. The dog became paraplegic with no deep perception of the hindlimbs, and the mass was surgically removed. The histopathological diagnosis was of a malignant peripheral nerve sheath tumor (MPNST). The dog suffered a relapse of right hindlimb ataxia at 225 days after the surgery. The dog died 434 days after the surgery. Necropsy found a large mass in the abdominal cavity invading from the L2-nerve. This is the first report of MPNST invading the abdominal cavity through the nerve root.

OBJECTIVE To compare ultracentrifugation, precipitation, and membrane affinity chromatography methods for isolation of extracellular vesicles (EVs) from canine plasma samples and to identify suitable reference genes for incorporation into a quantitative reverse transcription PCR assay of microRNA expression in plasma EVs of healthy dogs. ANIMALS 6 healthy Beagles. PROCEDURES Plasma samples were obtained from each dog, and EVs were isolated from 0.3 mL of these samples via ultracentrifugation, precipitation, and membrane-affinity chromatographic methods. Nanoparticle tracking analysis was performed to determine the concentration and size distribution of EVs isolated by the ultracentrifugation method. Expression levels (cycle threshold values) of 4 microRNAs (let-7a, miR-16, miR-26a, and miR-103) were then compared by means of quantitative reverse transcription PCR assay. Three statistical programs were used to identify the microRNAs most suitable for use as reference genes. RESULTS Results indicated that ultracentrifugation was the most stable of all 3 methods for isolating microRNAs from 0.3 mL of plasma. Nanoparticle tracking revealed that EV samples obtained by the ultracentrifugation method contained a mean ± SD of approximately 1.59 × 1010 vesicles/mL ± 4.2 × 108 vesicles/mL. Of the 4 microRNAs in plasma EVs isolated by ultracentrifugation, miR-103 was the most stable. CONCLUSIONS AND CLINICAL RELEVANCE The ultracentrifugation method has potential as a stable method for isolating EVs from canine plasma samples with a high recovery rate, and miR-103 may provide the most stable reference gene for normalizing microRNA expression data pertaining to plasma EVs isolated by ultracentrifugation.

Objective The antipsychotic olanzapine is reportedly metabolized by inducible human cytochrome P450 (CYP) 1A2 and variable copy-number CYP2D6 and polymorphic flavin-containing monooxygenase 3 (FMO3) in different pathways. We investigated individual differences in the metabolite formation and clearance of olanzapine in vitro and in vivo. Methods Human liver microsomal olanzapine oxidation activities were evaluated, and plasma concentrations of olanzapine were determined in 21 Japanese patients (mean age: 50 years, range: 32–69 years, 14 male and 7 female, including 6 smokers) genotyped for CYP2D6 (*1, *5, and *10) and FMO3 (E158K, C197fsX, R205C, V257M, E308G, and R500X). Results Furafylline (a CYP1A2 inhibitor), quinidine (a CYP2D6 inhibitor), and heat treatment (inactivates FMO3) suppressed liver microsomal metabolic clearance of olanzapine by approximately 30%. Olanzapine N-demethylation and N-oxygenation were found to be catalyzed by CYP1A2 and CYP2D6 and by CYP2D6 and FMO3, respectively, in experiments using liver microsomes and recombinant enzymes. Plasma concentrations and clearance of olanzapine were not affected by CYP2D6 or FMO3 genotypes or smoking behavior. Conclusions Olanzapine clearance was not affected by CYP2D6 or FMO3 genotypes or smoking behavior as a single factor under the present conditions because olanzapine clearance is mediated by multiple enzymes involved in two major and one minor pathways. Copyright © 2016 John Wiley & Sons, Ltd.

The antipsychotic olanzapine is reportedly metabolized by inducible human cytochrome P450 (CYP) 1A2 and variable copy-number CYP2D6 and polymorphic flavin-containing monooxygenase 3 (FMO3) in different pathways. We investigated individual differences in the metabolite formation and clearance of olanzapine in vitro and in vivo.Human liver microsomal olanzapine oxidation activities were evaluated, and plasma concentrations of olanzapine were determined in 21 Japanese patients (mean age: 50 years, range: 32-69 years, 14 male and 7 female, including 6 smokers) genotyped for CYP2D6 (*1, *5, and *10) and FMO3 (E158K, C197fsX, R205C, V257M, E308G, and R500X).Furafylline (a CYP1A2 inhibitor), quinidine (a CYP2D6 inhibitor), and heat treatment (inactivates FMO3) suppressed liver microsomal metabolic clearance of olanzapine by approximately 30%. Olanzapine N-demethylation and N-oxygenation were found to be catalyzed by CYP1A2 and CYP2D6 and by CYP2D6 and FMO3, respectively, in experiments using liver microsomes and recombinant enzymes. Plasma concentrations and clearance of olanzapine were not affected by CYP2D6 or FMO3 genotypes or smoking behavior.Olanzapine clearance was not affected by CYP2D6 or FMO3 genotypes or smoking behavior as a single factor under the present conditions because olanzapine clearance is mediated by multiple enzymes involved in two major and one minor pathways.