In developed countries, dogs and cats frequently suffer from obesity. Recently, gut microbiota composition in humans has been related to obesity and metabolic diseases. This study aimed to evaluate changes in body composition, and gut microbiota composition in obese Beagle dogs after a 17-wk BW loss program. A total of six neutered adult Beagle dogs with an average initial BW of 16.34 ± 1.52 kg and BCS of 7.8 ± 0.1 points (9-point scale) were restrictedly fed with a hypocaloric, low-fat and high-fiber dry-type diet. Body composition was assessed with dual-energy X-ray absorptiometry scan, before (T0) and after (T1) BW loss program. Individual stool samples were collected at T0 and T1 for the 16S rRNA analyses of gut microbiota. Taxonomic analysis was done with amplicon-based metagenomic results, and functional analysis of the metabolic potential of the microbial community was done with shotgun metagenomic results. All dogs reached their ideal BW at T1, with an average weekly proportion of BW loss of -1.07 ± 0.03% of starting BW. Body fat (T0, 7.02 ± 0.76 kg) was reduced by half (P < 0.001), while bone (T0, 0.56 ± 0.06 kg) and muscle mass (T0, 8.89 ± 0.80 kg) remained stable (P > 0.05). The most abundant identified phylum was Firmicutes (T0, 74.27 ± 0.08%; T1, 69.38 ± 0.07%), followed by Bacteroidetes (T0, 12.68 ± 0.08%; T1, 16.68 ± 0.05%), Fusobacteria (T0, 7.45 ± 0.02%; T1, 10.18 ± 0.03%), Actinobacteria (T0, 4.53 ± 0.02%; T1, 3.34 ± 0.01%), and Proteobacteria (T0, 1.06 ± 0.01%; T1, 1.40 ± 0.00%). At genus level, the presence of Clostridium, Lactobacillus, and Dorea, at T1 decreased (P = 0.028), while Allobaculum increased (P = 0.046). Although the microbiota communities at T0 and T1 showed a low separation level when compared (Anosim's R value = 0.39), they were significantly biodiverse (P = 0.01). Those differences on microbiota composition could be explained by 13 genus (α = 0.05, linear discriminant analysis (LDA) score > 2.0). Additionally, differences between both communities could also be explained by the expression of 18 enzymes and 27 pathways (α = 0.05, LDA score > 2.0). In conclusion, restricted feeding of a low-fat and high-fiber dry-type diet successfully modifies gut microbiota in obese dogs, increasing biodiversity with a different representation of microbial genus and metabolic pathways.

Dietary fat is known to modulate the hindgut microbiota in rodents; however, there is no clear evidence on the impact of high-fat diets on canine gut microbiota. The purpose of this study was to investigate the effect of feeding of diets differing in the amount of ME provided by fat and starch on the composition and activity of canine fecal microbiota. Twelve adult (3 to 7 yr of age) spayed Beagle dogs received a low-fat-high-starch diet (LF-HS; approximately 23%, 42%, and 25% ME provided by fat, starch, and CP, respectively) and a high-fat-low-starch diet (HF-LS; approximately 43%, 22%, and 25% ME provided by fat, starch, and CP, respectively) following a 2-period crossover arrangement. The higher amount of fat in the HF-LS diet was provided by lard, whereas the higher amount of starch in the LF-HS diet was provided primarily by maize and broken rice. Each period lasted 7 wk and included 4 wk for diet adaptation. Dogs were fed to meet their daily energy requirements (set at 480 kJ ME/kg BW0.75). Fecal samples were collected on weeks 5 and 6 of each period for the analysis of bacterial richness, diversity, and composition [by Ion-Torrent next-generation sequencing], bile acids, ammonia, and VFA. Additional fecal samples were collected from four dogs per diet and period to use as inocula for in vitro fermentation using xylan and pectin as substrates. Gas production was measured at 2, 4, 6, 9, 12, and 24 h of incubation. On week 7, blood samples were collected at 0- and 180-min postfeeding for the analysis of bacterial lipopolysaccharide (LPS). Feeding the HF-LS diet led to a greater (P < 0.05) fecal bile acid concentration compared with the LF-HS diet. Bacterial richness and diversity did not differ between diets (P > 0.10). However, dogs showed a lower relative abundance of Prevotella (P < 0.01), Solobacterium (P < 0.05), and Coprobacillus (P ˂ 0.05) when fed of the HF-LS diet. Fecal ammonia and VFA contents were not affected by diet (P > 0.10). Relative to the LF-HS diet, in vitro fermentation of xylan using feces of dogs fed the HF-LS diet produced less gas at 6 h (P < 0.01) and 9 h (P < 0.05). Blood LPS did not increase at 180-min postfeeding with either diet (P < 0.10). These findings indicate that feeding a HF-LS diet to dogs does not affect bacterial diversity or fermentative end products in feces, but may have a negative impact on Prevotella and xylan fermentation.

SummaryAlthough studies in rodents and humans have evidenced a weaker effect of fat in comparison to carbohydrates on the suppression of food intake, very few studies have been carried out in this field in dogs. This study investigates the effects of a highcarbohydrate (HC) and a high-fat (HF) diets on subsequent food intake and blood satiety-related hormones in dogs. Diets differed mainly in their starch (442 vs. 271 g/ kg dry matter) and fat (99.3 vs. 214 g/kg dry matter) contents. Twelve Beagle dogs received the experimental diets at maintenance energy requirements in two experimental periods, following a cross-over arrangement. In week 7 of each period, blood concentrations of active ghrelin, glucagon-like peptide (GLP-1), peptide YY, insulin, and glucose were determined before and at 30, 60, 120, 180, and 360 min postfeeding. The following week, intake of a challenge food offered 180 min after the HC and HF diets was recorded over two days. In comparison to the dogs on the HC diet, those on the HF diet had a higher basal concentration of GLP-1 (p = .010) and a higher total area under the curve over 180 min post-prandial (tAUC 0-180 ) (p = .031). Dogs on the HC diet showed a higher elevation of ghrelin at 180 min (p = .033) and of insulin at 360 min (p = .041), although ghrelin and insulin tAUC 0-180 did not differ between the two diets (p ˃ .10). Diet had no effect on challenge food intake (p ˃ .10), which correlated with the tAUC 0-180 of ghrelin (r = .514, p = .010), insulin (r = −.595, p = .002), and glucose (r = −.516, p = .010). Feeding a diet high in carbohydrate or fat at these inclusion levels does not affect the feeding response at 180 min post-prandial, suggesting a similar short-term satiating capacity. K E Y W O R D SBeagle, dietary fat, gut hormones, short-term satiety, starch | INTRODUCTIONThe effect of the main macronutrients on food intake and on satietyrelated gut hormones has been widely studied in humans and rats as the incidence of obesity and metabolic-related diseases gradually increases in Western countries. However, there have been comparatively few studies carried out in dogs and these have mainly focused on the effect of protein and fibre (Bosch et al., 2009;Weber et al., 2007). According to studies in humans, consumption of fat is closely related to body fat mass beyond any other individual factor (Tucker & Kano, 1992), and an increase in the fat to carbohydrate content of diets has been related to an increased energy intake in humans (Blundell, Burley, Cotton, & Lawton, 1993) and rats (Warwick, 2003) during ad libitum feeding tests. Over-consumption of fat-rich diets in these species may be associated with their high palatability, which can reinforce feeding behaviour even when energy needs have been satisfied Erlanson-Albertsson, 2005), but also to a weaker satiating capacity of fat. In this respect, a series of studies in humans (Blundell et al., 1993) and rats (Gaysinskaya, Karatayev, Chang, & Leibowitz, 2007) have evidenced a higher capacity of carbohydrates vs. fat to supp...

Food intake control involves the secretion of gutderived hormones, which exert an orexigenic (ghrelin) or anorexigenic (i.e., cholecystokinin [CCK], total peptide YY [PYY], and insulin) action in a meal-tomeal context (Hameed et al., 2009), with the response differing between dietary macronutrients (Karhunen

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