Weight Loss In Obese Dogs Research Articles

Weight-loss in obese dogs promotes important shifts in fecal microbiota profile to the extent of resembling microbiota of lean dogs

BackgroundAmong the undesirable changes associated with obesity, one possibility recently raised is dysbiosis of the intestinal microbiota. Studies have shown changes in microbiota in obese rats and humans, but there are still few studies that characterize and compare the fecal microbiota of lean, obese and dogs after weight loss. Thus, this study aimed to evaluate the effects of a weight loss program (WLP) in fecal microbiota of dogs in addition to comparing them with those of lean dogs. Twenty female dogs of different breeds, aged between 1 and 9 years were selected. They were equally divided into two groups: Obese group (OG), with body condition score (BCS) 8 or 9/9, and body fat percentage greater than 30%, determined by the deuterium isotope dilution method, and lean group (LG) with BCS 5/9, and maximum body fat of 15%. Weight loss group (WLG) was composed by OG after loss of 20% of their current body weight. Fecal samples were collected from the three experimental groups. Total DNA was extracted from the feces and these were sequenced by the Illumina methodology. The observed abundances were evaluated using a generalized linear model, considering binomial distribution and using the logit link function in SAS (p < 0.05).ResultsThe WLP modulated the microorganisms of the gastrointestinal tract, so that, WLG and LG had microbial composition with greater biodiversity than OG, and intestinal uniformity of the microbiota (Pielou’s evenness index) was higher in OG than WLG dogs (P = 0.0493) and LG (P = 0.0101). In addition, WLG had values of relative frequency more similar to LG than to OG.ConclusionThe fecal microbiota of the studied groups differs from each other. The weight loss program can help to reverse the changes observed in obese dogs.

Impact of Foods on The Gastrointestinal Microbiome of Obese Dogs During Weight Loss

ObjectivesThe relationship between gut microbiome and obesity is known; this study focused on gut microbiome changes during weight loss in obese dogs fed three different foods MethodsControl and two test foods formulated with a mean of 3153 kcals/kg SD ± 107.8. All foods were similar in their as fed protein (30.7% SD ± 0.73), carbohydrate (32.0% ±1.25) and fat (11.7% ±0.86) levels but differed in crude fiber (CF), total dietary fiber (TDF) and n-3FAs. Soluble: insoluble fiber (SF: IF) and n-3FAs: n-6FAs ratio were 0.13 and 0.07 in control and 0.27 and 0.62 in test foods. The study used 22 healthy adult dogs except their obese condition with a fat mass of >37% in a cross-over design. Control food was fed in pre-feed (28d) and washout period (28d) and two test foods were fed during treatment phases (phase 1 and 2, 56d each). All dogs were fed based on their body weight. DEXA was performed at the end of pre-feed, phase 1 and phase 2. Fecal samples were collected at the end of pre-feed, phase 1, washout, and phase 2. The study was approved by IACUC and dogs were allowed regular socializing. Fecal microbiome was analyzed by 16S rRNA amplicon sequencing using V3-V4 regions. Data analysis was performed using JMP v15.0. Variables with significance at P < 0.05 are reported. ResultsAll foods resulted in weight loss. Microbiome analysis showed differences between dogs fed control and test foods, but no differences were observed between test foods. Bacteroidetes (B), Fusobacteria increased and Firmicutes (F) decreased in test compared to control food. Diversity, evenness and B: F ratio increased in test compared to control food. Genera, Bacteroides, Fusobacterium, Faecalibacterium, and Lachnospira increased and Clostridium, Blautia, Dorea, Peptococcus and Turicibacter decreased in test compared to control food. Regression analyses show Blautia and Clostridium have inverse (R2 0.10) and Fusobacterium has positive (R2 0.09) correlation with total lean mass. The intakes (g/kg BW0.75) of SF and n-3FAs show positive (R2 0.10 and 0.19) correlation to Fusobacterium and inverse (R2 0.12 and 0.10) correlation to total fat mass. ConclusionsThis study shows that gut microbiome of obese dogs significantly changes during weight loss. SF and n-3FAs levels have potential roles in weight loss with gut microbiome changes. Funding SourcesHill’s Pet Nutrition, Inc.

Serum metabolomics analysis reveals that weight loss in obese dogs results in a similar metabolic profile to dogs in ideal body condition.

The 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. To investigate the metabolic profile of blood serum of obese dogs, control dogs, and dogs that were subjected to a weight loss program. Ten 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. The 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. The 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.

Recovery of insulin sensitivity and optimal body composition after rapid weight loss in obese dogs fed a high-protein medium-carbohydrate diet.

This study investigated the effects of an experimental high-protein medium-carbohydrate diet (protein level, 46% metabolizable energy, ME). First, postprandial plasma glucose and insulin kinetics were determined in steady-state overweight/obese Beagle dogs (28%-41% excess body weight) for an experimental high-protein medium-carbohydrate diet (protein level, 46% ME) and a commercial high-carbohydrate medium-protein diet (protein level, 24%ME) in obese dogs. Secondly, all the dogs were included in a weight loss programme. They were fed the high-protein medium-carbohydrate diet, and the energy allocation was gradually reduced until they reached their optimal body weight. Insulin sensitivity and body composition were evaluated before and after weight loss using a euglycaemic-hyperinsulinaemic clamp and the deuterium oxide dilution technique respectively. For statistical analysis, linear mixed effect models were used with a significance level of 5%. Postprandial plasma glucose and insulin concentrations were substantially lower with the high-protein medium-carbohydrate diet than the high-carbohydrate medium-protein diet. These differences can be explained mainly by the difference in carbohydrate content between the two diets. Energy restriction (35% lower energy intake than in the obese state) resulted in a 2.23±0.05% loss in body weight/week, and the dogs reached their optimal body weight in 12-16weeks. Weight loss was associated with a significant increase in insulin sensitivity. The high-protein medium-carbohydrate dietallowed fat-free mass preservation despite a relatively high rate of weekly weight loss. The increase in insulin sensitivity indicated improved control of carbohydrate metabolism, possible due to weight loss and to the nature of the diet. Thus, a high-protein medium-carbohydrate diet is a good nutritional solution for managing the weight of overweight dogs. This diet may improve glycaemic control, which could be beneficial for preventing or managing impaired glucose tolerance in obese dogs and for safe and successful weight loss while preserving lean body mass.

Effect of Weight Loss in Obese Dogs on Indicators of Renal Function or Disease

Obesity is a common medical disorder in dogs, and can predispose to a number of diseases. Human obesity is a risk factor for the development and progression of chronic kidney disease. To investigate the possible association of weight loss on plasma and renal biomarkers of kidney health. Thirty-seven obese dogs that lost weight were included in the study. Prospective observational study. Three novel biomarkers of renal functional impairment, disease, or both (homocysteine, cystatin C, and clusterin), in addition to traditional markers of chronic renal failure (serum urea and creatinine, urine specific gravity [USG], urine protein-creatinine ratio [UPCR], and urine albumin corrected by creatinine [UAC]) before and after weight loss in dogs with naturally occurring obesity were investigated. Urea (P = .043) and USG (P = .012) were both greater after weight loss than before loss, whilst UPCR, UAC, and creatinine were less after weight loss (P = .032, P = .006, and P = .026, respectively). Homocysteine (P < .001), cystatin C (P < .001) and clusterin (P < .001) all decreased upon weight loss. Multiple linear regression analysis revealed associations between percentage weight loss (greater weight loss, more lean tissue loss; r = -0.67, r(2) = 0.45, P < .001) and before-loss plasma clusterin concentration (greater clusterin, more lean tissue loss; r = 0.48, r(2) = 0.23, P = .003). These results suggest possible subclinical alterations in renal function in canine obesity, which improve with weight loss. Further work is required to determine the nature of these alterations and, most notably, the reason for the association between before loss plasma clusterin and subsequent lean tissue loss during weight management.

Effects of weight loss on the cardiac parameters of obese dogs

Obesity is one of the most frequent nutritional problems in companion animals and can lead to severe health problems in dogs and cats, such as cardiovascular diseases. This research aimed to evaluate the structural and functional cardiac changes after weight loss in obese dogs. Eighteen obese healthy dogs were assigned into three different groups, according with their initial body weight: Group I (dogs up to 15 kg), Group II (dogs weighing between 15.1 and 30 kg), and Group III (dogs weighing over 30 kg). The animals were submitted to a caloric restriction weight-loss program until they lose 15% of the body weight. The M-mode echocardiogram, electrocardiogram, and blood pressure evaluations were performed before the diet has started and after the dogs have reached the target weight. Data showed a decrease in left ventricular free wall thickness during diastole and systole in Group III, decrease in the systolic blood pressure in Group III, and also in the mean blood pressure in Group II. It was possible to conclude that the weight loss program can reverse structural cardiac changes such as left ventricle eccentric hypertrophy in dogs weighing more than 30 kg, and decrease the arterial blood pressure in obese dogs.

Improvement in insulin resistance and reduction in plasma inflammatory adipokines after weight loss in obese dogs

Obesity is now a major disease of dogs, predisposing to numerous disorders including diabetes mellitus. Adipocytes are active endocrine cells, and human obesity is characterized by derangements in inflammatory adipokine production. However, it is unclear as to whether similar changes occur in dogs. The purpose of the current study was to assess insulin sensitivity and inflammatory adipokine profiles in dogs with naturally occurring obesity and to investigate the effect of subsequent weight loss. Twenty-six overweight dogs were studied, representing a range of breeds and both sexes. All dogs underwent a weight loss program involving diet and exercise. Body fat mass was measured by dual-energy x-ray absorptiometry; plasma concentrations of insulin, glucose, and a panel of inflammatory adipokines (including acute-phase proteins, cytokines, and chemokines) were also analyzed. Body fat mass before weight loss was positively correlated with both plasma insulin concentrations (Kendall τ = 0.30, P = 0.044) and insulin:glucose ratio (Kendall τ = 0.36, P = 0.022), and both decreased after weight loss ( P = 0.0037 and 0.0063, respectively). Weight loss also led to notable decreases in plasma tumor necrosis factor-α (TNF-α), haptoglobin, and C-reactive protein concentrations ( P < 0.05 for all), suggesting improvement of a subclinical inflammatory state associated with obesity. This study has demonstrated that in obese dogs, insulin resistance correlates with degree of adiposity, and weight loss improves insulin sensitivity. Concurrent decreases in TNF-α and adipose tissue mass suggest that in dogs, as in humans, this adipokine may be implicated in the insulin resistance of obesity.

Use of starting condition score to estimate changes in body weight and composition during weight loss in obese dogs

Prior to starting a weight loss programme, target weight (TW) is often estimated, using starting body condition score (BCS). The current study assessed how well such estimates perform in clinical practice. Information on body weight, BCS and body composition was assessed before and after weight loss in 28 obese, client-owned dogs. Median decrease in starting weight per BCS unit was 10% (5–15%), with no significant difference between dogs losing moderate (1–2 BCS points) or marked (3–4 BCS points) amounts of weight (P=0.627). Mean decrease in body fat per BCS unit change was 5% (3–9%). A model based on a change of 10% of starting weight per unit of BCS above ideal (5/9) most closely estimated actual TW, but marked variability was seen. Therefore, although such calculations may provide a guide to final TW in obese dogs, they can either over- or under-estimate the appropriate end point of weight loss.

A high protein high fibre diet improves weight loss in obese dogs

A newly-formulated, high protein high fibre (HPHF) diet has recently been shown to improve satiety in dogs. The current study examined its performance during weight loss in client-owned dogs with naturally-occurring obesity. Fifteen dogs were fed the HPHF diet, whilst a matched 'control' group of 27 dogs, received a high protein medium fibre diet (HPMF), with an equivalent caloric density. Baseline characteristics (signalment, percentage overweight, and body fat percentage) were not significantly different between groups. However, percentage weight loss was greater (median [range] 31.8% [12.0-41.2%] vs. 20.0% [5.9-45.0%], P=0.016) and mean rate of weight loss faster (median [range] 1.0%/week [0.3-1.6%] vs. 0.7%/week [0.3-1.5%], P=0.028) on HPHF compared with HPMF. Percentage body fat mass decrease (measured by dual-energy X-ray absorptiometry) was also greater in dogs fed the HPHF diet (median (range] 58% [32-85%) vs. 37% [15-72%), P=0.002). Thus, a diet formulated to include high levels of both protein and fibre, improves outcome during weight loss in obese dogs.

Physical Rehabilitation Alters Body Composition in Chronically Obese Cat

Successful weight loss in obese dogs and cats is difficult, and even more so in pets who don't exercise regularly or are inactive. Over the past 10 years, physical rehabilitation (or physio‐therapy) as a treatment or wellness modality has been gaining popularity in small animal veterinary practice. This case report describes the use of physical rehabilitation to achieve weight loss and a decreased body condition score in a chronically obese cat. A 7‐year old, female‐spayed domestic, short‐haired cat, weighing 15 lbs, was evaluated by the Nutrition Support Service at Michigan State University's Veterinary Teaching Hospital for a weight management consultation. The cat had a history of chronic obesity and the owner reported feeding a variety of reduced or restricted‐calorie foods, both canned and dry versions, over the previous 5 years. The home environment included three other cats, none of which were overweight. All cats were fed once daily in the evening; separate food bowls were provided for each cat, but multiple water bowls and litter boxes were shared. A course of 8 weeks of physio‐therapy was recommended, with a target weight of 12 lbs identified, to which the owner agreed. Body weight, body condition score and circumference measures of axillary, rib and flank areas were taken at the initial visit, and at 3 weeks and 8 weeks. At the beginning of the 8th week, the cat's body weight had dropped from 15 lbs to 14.2 lbs, and the body condition score shifted down from 9 to 8 out of 9. More dramatically, however, were changes measured in body circumference: from 43 cm to 38.6 cm in the axilla (11% decrease); 50.3 cm to 42.5 cm in the ribs (15.5% decrease); 46 cm to 41 cm in the flank (11% decrease). To the author's knowledge, this is the first report confirming weight loss, reduced body condition score, and altered body composition in a cat as a direct result of physical rehabilitation.

Biologic activity of dirlotapide, a novel microsomal triglyceride transfer protein inhibitor, for weight loss in obese dogs

Dirlotapide is a novel microsomal triglyceride transfer protein inhibitor intended for the treatment and management of obesity in dogs. The biologic effects of dirlotapide, weight loss, decreased food intake, increased fecal fat, decreased serum cholesterol, and body composition, were evaluated in a controlled, blinded study. Sixteen obese beagles were randomized to treatment with placebo (n = 4) or dirlotapide (n = 12) following a 2-week acclimation period in which baseline data were collected. The dirlotapide dose, adjusted to produce weight loss for 3 months and then stabilize body weight for 1 month (weight management), produced a significant difference (expressed as a percentage of baselines) in weekly weight loss, food intake, fecal fat, serum cholesterol concentration, and body composition (measured by dual energy X-ray absorptiometry) compared with placebo treatment (P < 0.05). The initial dirlotapide dosage of 0.5 mg/kg (10 times the initial label dose) resulted in a high rate of weight loss (3.3% weekly) and anorexia, emesis, and loose stools for some dogs. A 25% dose reduction (mean dosage: 0.36 mg/kg) followed by biweekly 25% dose adjustments based on individual weight loss, produced 1-2% weekly weight loss and total weight loss of 18.8% in 12 weeks at a final mean dosage of 0.41 mg/kg (range: 0.15-0.60); a dosage range of 0.10-0.34 mg/kg stabilized body weight. Body weight changes for placebo-treated dogs were -0.8% to +0.9% weekly; total weight gain during the weight loss phase was 10.6%. No apparent change in food intake, percentage of fecal fat, and serum cholesterol was observed in the placebo group. Food intake and body weight increased when dirlotapide was discontinued. Dirlotapide produced weight loss by both reducing appetite (about 90% of the weight loss activity) and by increasing fecal fat excretion (about 10% of the weight loss activity).

Weight Loss in Obese Dogs: Evaluation of a High-Protein, Low-Carbohydrate Diet

Weight Loss in Obese Dogs: Evaluation of a High-Protein, Low-Carbohydrate Diet

Practical management of obesity in dogs and cats

ABSTRACTObesity is the most common form of malnutrition encountered in small animal practice in the western world. In a survey of cats presented to the author's clinic, 40 per cent were overweight or obese; the incidence of obesity was highlighted in neutered cats, those that were kept indoors and those over 36 months of age. A number of clinical conditions of dogs and cats can be associated with obesity, therefore its prevention and control represents an important challenge for the small animal veterinarian and its success is largely dependent on effective client education. Treatment of obesity involves a suitable diet formulation and continual patient monitoring to maintain the owner's enthusiasm and cooperation. Commercial low calorie diets provide an effective and convenient means of weight loss in obese dogs and cats.