Vendramini, Thiago H. A.
Macedo, Henrique T.
Zafalon, Rafael V. A.
Macegoza, V, Matheus
Risolia, Larissa W.
Ocampos, Fernanda M. M.
Jeremias, Juliana T.
Pontieri, Cristiana F. F.
Colnago, Luiz A.
Brunetto, Marcio A.
Total Authors: 12
 Univ Sao Paulo, Pet Nutrol Res Ctr, Sch Vet Med & Anim Sci, Dept Anim Nutr & Prod, 225 Ave Duque Caxias Norte, BR-13635900 Pirassununga, SP - Brazil
 Univ Sao Paulo, Vet Teaching Hosp, Sch Vet Med & Anim Sci, Vet Nutrol Serv, BR-13635900 Sao Paulo - Brazil
 Brazilian Agr Res Corp Embrapa CNPDIA, BR-13560970 Sao Carlos - Brazil
 Grandfood Ind & Commerce LTD, BR-13590000 Dourado - Brazil
 Univ Sao Paulo, Med Sch Ribeirao Preto, BR-14049900 Ribeirao Preto - Brazil
 Macegoza, Matheus, V, Univ Sao Paulo, Pet Nutrol Res Ctr, Sch Vet Med & Anim Sci, Dept Anim Nutr & Prod, 225 Ave Duque Caxias Norte, BR-13635900 Pirassununga, SP - Brazil
Total Affiliations: 6
FEB 16 2021.
Web of Science Citations:
IntroductionThe study of metabolic profile can be an important tool to better understand, at a systemic level, metabolic alterations caused by different pathological conditions, such as obesity. Furthermore, it allows the discovery of metabolic biomarkers, which may help to diagnose alterations caused by obesity.ObjectiveTo investigate the metabolic profile of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program.MethodsTen obese adult spayed female dogs were included, and their body composition was determined by the deuterium isotope dilution method. The dogs were subjected to a weight loss program and formed a new experimental group after losing 20% of the initial body weight. A third experimental group was composed of ten lean adult spayed female dogs. The metabolic profile of blood serum was evaluated through nuclear magnetic resonance (NMR). Principal Component Analyses (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA) models were constructed using Pareto scaling pre-processing. Pathway analysis was also performed using the MetaboAnalist online tool.ResultsThe PCA shows that the control and after weight loss groups presented a trend to negative PC1, indicating similarities between these two groups. In contrast, obese animals presented a tendency to appear on negative PC2 indicating a different metabolic profile. The OPLS-DA analysis of the serum indicated that healthy groups presented higher content of glucose, while animals that lost weight had higher levels of cholesterol and lactate than the control group. On the other hand, the analysis showed that lipid content, cholesterol, and branched-chain amino acids were highest in obese animals. Variable Influence on Projection (VIP) analysis demonstrated that Lactate is the most important metabolite for the OPLS-DA model and Hierarchical Cluster Analysis (HCA) corroborated the similarity between the control group and the obese after weight loss groups. Moreover, the pathway analysis indicated the most important metabolic pathways related to this dataset.ConclusionsThe metabolomic assessment based on NMR of blood serum differed between obese dogs and animals in optimal body condition. Moreover, the weight loss resulted in metabolic profiles similar to those observed in lean animals. (AU)