Changes in salivary electrolyte concentrations in mid-distance trained sled dogs during 12 weeks of incremental conditioning.

Regular exercise improves the health status of dogs; however, extreme exertion in the absence of adequate fluid and electrolyte replacement may negatively impact health and performance due to dehydration and cardiovascular stress. Unlike humans and horses, dogs thermoregulate predominantly through respiration and salivation, yet there is a dearth of literature defining exercise-induced changes to canine salivary electrolytes. The study objective was to investigate the effects of exercise on salivary electrolyte concentrations, and to determine if adaptations may occur in response to incremental conditioning in client-owned Siberian Huskies. Sixteen dogs were used, with an average age of 4.8 ± 2.5 years and body weight of 24.3 ± 4.3 kg. A 12-week exercise regimen was designed to increase in distance each week, but weather played a role in setting the daily distance. Saliva samples were collected at weeks 0 (pre-run, 5.7 km), 5 (pre-run, 5.7, 39.0 km), and 11 (pre-run, 5.7, 39.0 km). Samples were analyzed for sodium, chloride, potassium, calcium, magnesium, and phosphorous using photometric and indirect ion-selective electrode analysis. When compared across weeks, sodium, chloride, potassium, and calcium concentrations did not differ at any sampling time point; however, phosphorus and magnesium concentrations increased from baseline. Data were then pooled across weeks to evaluate changes due to distance and level of conditioning. Sodium, chloride, and magnesium concentrations increased progressively with distance ran, suggesting that these electrolytes are primarily being lost as exercising dogs salivate. Repletion of these minerals may assist in preventing exercise-induced electrolyte imbalance in physically active dogs.

Sensitive and rapid molecular detection assays for Salmonella enterica serovars Typhimurium and Heidelberg.

Salmonella enterica is a significant cause of gastroenteritis worldwide, with serovars Typhimurium and Heidelberg being particularly prevalent, which have broad host ranges infecting poultry, dairy animals, and humans. Traditional methods used for the detection of Salmonella from contaminated food products are time-consuming and labor-intensive. The aim of this study was to develop a sensitive and rapid PCR-based detection method with optimized specificity for high-throughput screening of food and clinical samples. We used bioinformatics to identify potential serovar-specific regions from the available S. enterica sequenced genomes. We designed primer pairs to targeted regions unique to Typhimurium and Heidelberg. A primer pair targeting a putative cytoplasmic protein STM4492 amplified a 759-bp product specific to Typhimurium, and a primer pair targeting a putative inner membrane protein STM2745 amplified a 199-bp product from both Typhimurium and Heidelberg. A primer pair for the oriC locus was used to identify all Salmonella. We screened 217 isolates including the Salmonella reference collections A and B, validating the specificity of each primer set. Next, a multiplex PCR (mPCR) assay and quantitative real-time PCR assay were optimized for identification and differentiation of Typhimurium and Heidelberg. An mPCR assay was developed and successfully detected S. enterica isolates from inoculated Cheddar cheese, raw turkey, and cooked turkey at concentrations as low as 1 CFU/g of food. The reaction conditions for this mPCR have significantly reduced the time needed to identify S. enterica Typhimurium and Heidelberg, making this a rapid selective tool.