Evidence map›Paper›PMID 34991726›Full record

ArticleAnimal microbiome2022

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

Henrique Tobaro Macedo, Mariana Fragoso Rentas, Thiago Henrique Annibale Vendramini, Matheus Vinicius Macegoza, Andressa Rodrigues Amaral, Juliana Toloi Jeremias, Júlio César de Carvalho Balieiro, Karina Pfrimer, Eduardo Ferriolli, Cristiana Ferreira Fonseca Pontieri and 1 more

Open access · goldAbstract read
In one paragraph

Article in Animal microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Effect of yeast probioticFrontiers in microbiology · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
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

11 authors at 1 institution in 1 country.

Henrique Tobaro MacedoDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil.
Mariana Fragoso RentasDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil.
Thiago Henrique Annibale VendraminiDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil.
Matheus Vinicius MacegozaDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil.
Andressa Rodrigues AmaralDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil.
Juliana Toloi JeremiasNutritional Development Center (CDN), Grandfood Indústria E Comércio LTDA (Premier Pet), Luiz Augusto de Oliveira Hwy, Km 204, Dourado, São Paulo, 13590-000, Brazil.
Júlio César de Carvalho BalieiroDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil.
Karina PfrimerMedical School of Ribeirão Preto (FMRP), University of São Paulo (USP), Bandeirantes Ave, 3900 - Campus da USP, Ribeirão Preto, São Paulo, 14049-900, Brazil.
Eduardo FerriolliMedical School of Ribeirão Preto (FMRP), University of São Paulo (USP), Bandeirantes Ave, 3900 - Campus da USP, Ribeirão Preto, São Paulo, 14049-900, Brazil.
Cristiana Ferreira Fonseca PontieriNutritional Development Center (CDN), Grandfood Indústria E Comércio LTDA (Premier Pet), Luiz Augusto de Oliveira Hwy, Km 204, Dourado, São Paulo, 13590-000, Brazil.
Marcio Antonio BrunettoDepartment of Animal Nutrition and Production, Pet Nutrology Research Center (CEPEN Pet), School of Veterinary Medicine and Animal Science (FMVZ), University of São Paulo (USP), Duque de Caxias Norte Ave, 255, Pirassununga, São Paulo, 13635-900, Brazil. mabrunetto@usp.br.ORCID http://orcid.org/0000-0003-3240-0343
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CanineDysbiosisGastrointestinal tractMicrobiomeObesity

Identifiers

PMID34991726
PMCPMC8740440
OpenAlexW4205729538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.