Evidence map›Paper›PMID 29790949›Full record

ArticleJournal of animal science2018

Fecal microbiota composition changes after a BW loss diet in Beagle dogs.

Anna Salas-Mani, Isabelle Jeusette, Inmaculada Castillo, Carmen L Manuelian, Clement Lionnet, Neus Iraculis, Nuria Sanchez, Sonia Fernández, Lluís Vilaseca, Celina Torre

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Review
  2. Review
  3. Understanding the diversity and roles of the canine gut microbiome.Journal of animal science and biotechnology · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anna Salas-ManiR&D Department, Affinity Petcare, Hospitalet de Llobregat, Barcelona, Spain.
Isabelle JeusetteR&D Department, Affinity Petcare, Hospitalet de Llobregat, Barcelona, Spain.
Inmaculada CastilloServei de Nutrició i Bromatologia aplicada (SNIBA) de la Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain.
Carmen L ManuelianDepartment of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), University of Padova, Legnaro, Padova, Italy.
Clement LionnetGenostar Bioinformatic Solutions, Montbonnot Saint Martin, France.
Neus IraculisR&D Department, Affinity Petcare, Hospitalet de Llobregat, Barcelona, Spain.
Nuria SanchezR&D Department, Affinity Petcare, Hospitalet de Llobregat, Barcelona, Spain.
Sonia FernándezDoc's Veterinary Clinic, Premià, Barcelona, Spain.
Lluís VilasecaR&D Department, Affinity Petcare, Hospitalet de Llobregat, Barcelona, Spain.
Celina TorreR&D Department, Affinity Petcare, Hospitalet de Llobregat, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Gastrointestinal MicrobiomeMetagenomicsAnimalsBacteriaBody CompositionBody WeightCaloric RestrictionDietary FiberDiet, Fat-RestrictedDogsFecesFemaleMaleObesityDietary Fiber

Identifiers

PMID29790949
PMCPMC6095273

What OpenQuestion holds

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Registered trials

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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.