Association between serum triglyceride and canine pancreatic lipase immunoreactivity concentrations in miniature schnauzers.
ABSTRACT The objective of this study was to investigate possible associations between serum triglyceride and canine pancreatic lipase immunoreactivity (cPLI) concentrations in miniature schnauzers. One hundred and ninety-five miniature schnauzers were enrolled and divided into two groups based on whether they had normal (group 1) or increased (group 2) serum triglyceride concentrations. Serum cPLI concentrations were measured and compared between groups. A significant positive correlation was seen between serum triglyceride and cPLI concentrations (Spearman r=0.321; P<0.0001). Miniature schnauzers with hypertriglyceridemia had a significantly higher median serum cPLI concentration (99.5 microg/L) than miniature schnauzers with normal serum triglyceride concentrations (median cPLI concentration 39.3 microg/L; P=0.0001). A cutoff value of 862 mg/dL was selected for serum triglyceride concentrations based on receiver operator characteristic analysis. Miniature schnauzers with severe hypertriglyceridemia (> or =862 mg/dL) were 4.5 times more likely to have a serum cPLI concentration consistent with pancreatitis (> or =200 microg/L) than miniature schnauzers with a normal serum triglyceride concentration. The present study supports an association between hypertriglyceridemia (especially when severe [> or =862 mg/dL]) and high cPLI concentrations in miniature schnauzers.
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- " b ; Whitney et al . , 1987 ; Cook et al . , 1993 ; Hess et al . , 1998 , 1999 ; Williams and Steiner , 2005 ) . In a preliminary study , hypertriglyceridemia exceeding 10 . 17 mmol / L ( 900 mg / dL ) was found to be associated with an increased risk for pancreatitis in Miniature Schnauzers , and that might also be true for dogs of other breeds ( Xenoulis et al . , 2006 ) . Secondary hyperlipidemia seen in dogs with some endocrinopathies ( e . g . , hyperadrenocorticism ) or obesity may be responsible for the increased risk for pancreatitis associated with these diseases ( Chikamune et al . , 1995 ; Hess et al . , 1999 , 2000 ) . Based on these studies , an association between hypertriglyceridemia and "
ABSTRACT: Lipid metabolism in dogs can be divided into exogenous and endogenous pathways and exhibits some unique characteristics compared to other species. Hyperlipidemia is common in dogs, and can be either primary or secondary to other diseases. Secondary hyperlipidemia is the most common form and can be a result of endocrine disorders, pancreatitis, cholestasis, protein-losing nephropathy, obesity, and high fat diets. Primary hyperlipidemia is less common and usually associated with certain breeds. Hypertriglyceridemia of Miniature Schnauzers is the most common type of primary hyperlipidemia in dogs in the United States, and appears to have a genetic basis although its etiology remains unknown. Possible complications of canine hyperlipidemia include pancreatitis, liver disease, atherosclerosis, ocular disease, and seizures. Management is achieved by administration of low fat diets with or without the administration of lipid-lowering agents such as omega-3 fatty acids, gemfibrozil, and niacin.The Veterinary Journal 02/2009; 183(1):12-21. DOI:10.1016/j.tvjl.2008.10.011 · 2.17 Impact Factor
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ABSTRACT: To develop a standardized meal challenge test by assessing associations between food-withheld preprandial (ie, fasting) and postprandial triglyceride concentrations, determining the most appropriate sampling time to detect the peak concentration (highest postprandial concentration), and estimating reference intervals for fasting and postprandial concentrations in healthy dogs. 12 lean healthy mixed-breed dogs. Dogs were fed a dry commercially available diet (fat, 31% metabolizable energy) for 3 weeks. After food was withheld for 23 to 24 hours, plasma triglyceride concentrations were measured 1 and 0.083 hours before and 1, 2, 3, 4, 5, 6, 9, and 12 hours after feeding of a standardized challenge meal (median amount eaten, 63 kcal/kg [127 kcal/kg⁰.⁷⁵]). Correlation and agreement between concentrations at peak and other time points were assessed by use of correlation coefficients and Bland-Altman limits of agreement. Reference intervals were calculated by use of a robust method. Fasting and peak triglyceride concentrations were not closely associated. The highest concentration among samples obtained 2, 5, and 6 hours after meal consumption had closest agreement with peak concentration. In 5 of 12 dogs, concentrations 12 hours after eating were still significantly above baseline concentration (mean of each dog's fasting concentrations). Conclusions and Fasting triglyceride concentration could not be used to accurately predict peak concentration. When estimating peak concentration, multiple samples should be collected 2, 5, and 6 hours after consumption of a standardized meal. Food may need to be withheld for > 12 hours when assessing fasting concentrations in healthy dogs.American Journal of Veterinary Research 02/2011; 72(2):161-8. DOI:10.2460/ajvr.72.2.161 · 1.21 Impact Factor
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ABSTRACT: The aim of this study was to compare the effects of three diets with varying macronutrient and fibre contents on postprandial plasma glucose, triglyceride, free fatty acid, and insulin concentrations over a 12 h period in 12 healthy neutered lean dogs. Each diet was fed to each dog for 3 weeks in a three-period cross-over study. Plasma analyte concentrations were measured prior to and after a meal at the end of the third week of each period. Postprandial glucose concentrations for the moderate carbohydrate and fibre diet were 0.4-0.7 mmol/L (8-12 mg/dL) lower than for both higher carbohydrate diets (p≤0.02). Postprandial glucose, insulin, and triglyceride concentrations in some dogs did not return to baseline by 12 h after feeding of each of the three diets. These results indicate that the moderate carbohydrate and fibre diet warrants evaluation in diabetic dogs. Variables should be measured over at least 12 h after feeding to fully evaluate postprandial dietary effects on these analytes.Research in Veterinary Science 09/2011; 93(1):288-95. DOI:10.1016/j.rvsc.2011.07.032 · 1.51 Impact Factor