Evidence map›Paper›PMID 32864871›Full record

ReviewMicrobial biotechnology2020

Catching a glimpse of the bacterial gut community of companion animals: a canine and feline perspective.

Giulia Alessandri, Chiara Argentini, Christian Milani, Francesca Turroni, Maria Cristina Ossiprandi, Douwe van Sinderen, Marco Ventura

Open access · goldAbstract readReview
In one paragraph

Review in Microbial biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

49 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. The Effects of DietaryAnimals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Dietary Supplementation withAnimals : an open access journal from MDPI · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Exploring Gut Microbiota-Targeted Therapies for Canine Idiopathic Epilepsy.International journal of molecular sciences · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Evaluation of extended-spectrumFrontiers in microbiology · 2025
    Article
  19. Article
  20. Article
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

7 authors at 2 institutions in 2 countries.

Giulia AlessandriDepartment of Veterinary Medical Science, University of Parma, Parma, Italy.
Chiara ArgentiniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Christian MilaniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Francesca TurroniLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.
Maria Cristina OssiprandiDepartment of Veterinary Medical Science, University of Parma, Parma, Italy.
Douwe van SinderenAPC Microbiome Institute and School of Microbiology, Bioscience Institute, National University of Ireland, Cork, Ireland.
Marco VenturaLaboratory of Probiogenomics, Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, Parma, Italy.ORCID 0000-0002-4875-4560
University of Parma · ITNational University of Ireland · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dogs and cats have gained a special position in human society by becoming our principal companion animals. In this context, efforts to ensure their health and welfare have increased exponentially, with in recent times a growing interest in assessing the impact of the gut microbiota on canine and feline health. Recent technological advances have generated new tools to not only examine the intestinal microbial composition of dogs and cats, but also to scrutinize the genetic repertoire and associated metabolic functions of this microbial community. The application of high-throughput sequencing techniques to canine and feline faecal samples revealed similarities in their bacterial composition, with Fusobacteria, Firmicutes and Bacteroidetes as the most prevalent and abundant phyla, followed by Proteobacteria and Actinobacteria. Although key bacterial members were consistently present in their gut microbiota, the taxonomic composition and the metabolic repertoire of the intestinal microbial population may be influenced by several factors, including diet, age and anthropogenic aspects, as well as intestinal dysbiosis. The current review aims to provide a comprehensive overview of the multitude of factors which play a role in the modulation of the canine and feline gut microbiota and that of their human owners with whom they share the same environment.

Indexed as

Cat DiseasesDog DiseasesGastrointestinal MicrobiomeMicrobiotaAnimalsBacteriaCatsDogsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID32864871
PMCPMC7533323
OpenAlexW3082517370

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.