Evidence map›Paper›PMID 39338505›Full record

ReviewMicroorganisms2024

Decoding the Gut Microbiome in Companion Animals: Impacts and Innovations.

Harsh Shah, Mithil Trivedi, Tejas Gurjar, Dipak Kumar Sahoo, Albert E Jergens, Virendra Kumar Yadav, Ashish Patel, Parth Pandya

Abstract readReview
In one paragraph

Review in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. A Feline Milk-DrivedMicroorganisms · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Revolutionizing oronasal fistula treatment inOpen veterinary journal · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Frontiers in veterinary science · 2025
    Article
  18. Effect of yeast probioticFrontiers in microbiology · 2025
    Article
  19. 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

8 authors.

Harsh ShahTREE Lab, Department of Biomedical and Life Sciences, School of Science, Navrachana University, Vadodara 391410, India.ORCID 0009-0004-1706-0840
Mithil TrivediTREE Lab, Department of Biomedical and Life Sciences, School of Science, Navrachana University, Vadodara 391410, India.
Tejas GurjarTREE Lab, Department of Biomedical and Life Sciences, School of Science, Navrachana University, Vadodara 391410, India.ORCID 0009-0000-2110-8967
Dipak Kumar SahooDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-3748-3395
Albert E JergensDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-2375-8685
Virendra Kumar YadavMarwadi University Research Center, Department of Microbiology, Faculty of Sciences, Marwadi University, Rajkot 360003, India.ORCID 0000-0001-5448-7676
Ashish PatelDepartment of Life Sciences, Hemchandracharya North Gujarat University, Patan 384265, India.ORCID 0000-0003-4612-1724
Parth PandyaTREE Lab, Department of Biomedical and Life Sciences, School of Science, Navrachana University, Vadodara 391410, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The changing notion of "companion animals" and their increasing global status as family members underscores the dynamic interaction between gut microbiota and host health. This review provides a comprehensive understanding of the intricate microbial ecology within companion animals required to maintain overall health and prevent disease. Exploration of specific diseases and syndromes linked to gut microbiome alterations (dysbiosis), such as inflammatory bowel disease, obesity, and neurological conditions like epilepsy, are highlighted. In addition, this review provides an analysis of the various factors that impact the abundance of the gut microbiome like age, breed, habitual diet, and microbe-targeted interventions, such as probiotics. Detection methods including PCR-based algorithms, fluorescence in situ hybridisation, and 16S rRNA gene sequencing are reviewed, along with their limitations and the need for future advancements. Prospects for longitudinal investigations, functional dynamics exploration, and accurate identification of microbial signatures associated with specific health problems offer promising directions for future research. In summary, it is an attempt to provide a deeper insight into the orchestration of multiple microbial species shaping the health of companion animals and possible species-specific differences.

Indexed as

companion animaldiseasefactorsgut microbehealth

Identifiers

PMID39338505
PMCPMC11433972

What OpenQuestion holds

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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.