ArticleJournal of animal science2018
Fecal microbiota composition changes after a BW loss diet in Beagle dogs.
Article in Journal of animal science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Dietary Modulation of the Gut Microbiota in Dogs and Cats and Its Role in Disease Management.Microorganisms · 2025Review
- Application of Probiotics in Cats and Dogs: Benefits and Mechanisms.Veterinary sciences · 2025Review
- Understanding the diversity and roles of the canine gut microbiome.Journal of animal science and biotechnology · 2025Review
- Substitution of Poultry Fat with Black Soldier Fly (Veterinary sciences · 2025Article
- Impact of Hypocaloric Diets on Weight Loss and Body Composition in Obese Dogs: A Meta-Analysis.Animals : an open access journal from MDPI · 2025Review
- Effect of Limosilactobacillus reuteri ZJF036 on Growth Performance and Gut Microbiota in Juvenile Beagle Dogs.Current microbiology · 2023Article
- Effect of Different Fiber Sources as Additives to Wet Food for Beagle Dogs on Diet Acceptance, Digestibility, and Fecal Quality.Veterinary sciences · 2023Article
- Obese dogs exhibit different fecal microbiome and specific microbial networks compared with normal weight dogs.Scientific reports · 2023Article
- Effects of weight loss and feeding specially formulated diets on the body composition, blood metabolite profiles, voluntary physical activity, and fecal metabolites and microbiota of obese dogs.Journal of animal science · 2023Article
- Effects of weight loss and feeding specially formulated diets on the body composition, blood metabolite profiles, voluntary physical activity, and fecal metabolites and microbiota of overweight cats.Journal of animal science · 2023Article
- Age-associated changes in intestinal health biomarkers in dogs.Frontiers in veterinary science · 2023Article
- The Mechanism of Important Components in Canine Fecal Microbiota Transplantation.Veterinary sciences · 2022Review
- Characterization of intestinal microbiota in normal weight and overweight Border Collie and Labrador Retriever dogs.Scientific reports · 2022Article
- Evaluation of the Effect of Different Dietary Lipid Sources on Dogs' Faecal Microbial Population and Activities.Animals : an open access journal from MDPI · 2022Article
- Functional properties of miscanthus fiber and prebiotic blends in extruded canine diets.Journal of animal science · 2022Article
- Composition and short-term stability of gut microbiota in lean and spontaneously overweight healthy Labrador retriever dogs.Acta veterinaria Scandinavica · 2022Article
- Efficacy of feeding a diet containing a high concentration of mixed fiber sources for management of acute large bowel diarrhea in dogs in shelters.Journal of veterinary internal medicine · 2022Article
- Weight loss and high-protein, high-fiber diet consumption impact blood metabolite profiles, body composition, voluntary physical activity, fecal microbiota, and fecal metabolites of adult dogs.Journal of animal science · 2022Article
- Weight-loss in obese dogs promotes important shifts in fecal microbiota profile to the extent of resembling microbiota of lean dogs.Animal microbiome · 2022Article
- Fecal microbiota and inflammatory and antioxidant status of obese and lean dogs, and the effect of caloric restriction.Frontiers in microbiology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.