title: Potential use of cholesterol lipoprotein profile to confirm obesity status in dogs.
abstract: A common sign of obesity, in dogs, is hyperlipidemia, which is characterized by hypercholesterolemia and/or hypertriglycemia. Hyperlipidemia can be caused by a quantitative increase in circulating lipoproteins (LP) or by a higher lipid concentration in the various LP classes. In this study, we sought to determine whether aberrations occur with cholesterol lipoprotein profile, especially with sub HDL-cholesterol fraction % in obese dogs. Using clinically healthy and disease free (no overt signs) body condition score classified obese dogs, of all ages, we attempted to determine the influence of age, gender and obesity status on cholesterol lipoprotein profiling. Overall, no aberration in pattern was observed in obese dogs <8 years of age. However, in older obese animals (≥8 years of age), the general aberration pattern to cholesterol lipoprotein observed was that a significant decrease in HDL2 and 3 fraction % occurs with a concomitant increase in either HDL1-Cho or VLDL and LDL -Cho fraction % depending on gender. Linear regression analysis indicated that obesity status appears to significantly affect total cholesterol, HDL2 and 3-Cho, VLDL and LDL-Cho levels (P=0.02, 0.046, and 0.045, respectively), whereas it is borderline with HDL1-Cho (P=0.062). On the other hand, age significantly influenced TG, Total cholesterol, and HDL1-Cho levels (P=0.009, 0.006, and 0.002, respectively), while gender influenced VLDL and LDL-Cho (P=0.024) level. Therefore, aberrations in cholesterol lipoprotein profile pattern might be of potential use to assess and diagnose obesity status, in conjunction with BCS, especially of older overweight animals which might be considered borderline obese.
authors.affiliation: Department of Veterinary Science, School of Veterinary Medicine, Nippon Veterinary and Life Science University, 171, Musashino, Tokyo, Japan.
authors.forename: Nobuko
authors.initials: N
authors.lastname: Mori
authors.forename: Peter
authors.initials: P
authors.lastname: Lee
authors.forename: Kazuo
authors.initials: K
authors.lastname: Kondo
authors.forename: Toshimi
authors.initials: T
authors.lastname: Kido
authors.forename: Terumasa
authors.initials: T
authors.lastname: Saito
authors.forename: Toshiro
authors.initials: T
authors.lastname: Arai
mesh_terms: D000367:Age Factors; D000818:Animals; D001823:Body Composition; D002784:Cholesterol / Q000097:blood*; D004283:Dog Diseases / Q000097:blood / Q000175:diagnosis* / Q000453:epidemiology; D004285:Dogs; D004586:Electrophoresis; D005260:Female; D007564:Japan; D016014:Linear Models; D008074:Lipoproteins / Q000097:blood*; D008297:Male; D015999:Multivariate Analysis; D009765:Obesity / Q000175:diagnosis / Q000453:epidemiology / Q000662:veterinary*; D010808:Physical Examination / Q000379:methods; D011446:Prospective Studies; D012737:Sex Factors; D014461:Ultracentrifugation
chemical_list: D008074:Lipoproteins; C030104:lipoprotein cholesterol; D002784:Cholesterol