Evidence map›Paper›PMID 32806674›Full record

ArticleToxins2020

Varying Protein Levels Influence Metabolomics and the Gut Microbiome in Healthy Adult Dogs.

Eden Ephraim, Chun-Yen Cochrane, Dennis E Jewell

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Effects ofMicroorganisms · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Gut Metabolome in Companion Animal Nutrition-Linking Diets to Health.Animals : an open access journal from MDPI · 2025
    Review
  15. Article
  16. Article
  17. Evaluation ofFrontiers in veterinary science · 2025
    Article
  18. 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

3 authors at 2 institutions in 1 country.

Eden EphraimPet Nutrition Center, Hill's Pet Nutrition, Inc., Topeka, KS 66617, USA.
Chun-Yen CochranePet Nutrition Center, Hill's Pet Nutrition, Inc., Topeka, KS 66617, USA.
Dennis E JewellDepartment of Grain Science and Industry, Kansas State University, Manhattan, KS 66506, USA.
Hill's Pet Nutrition (United States)Kansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal ranges of protein for healthy adult dogs are not known. This study evaluated the impact of long-term consumption of foods containing low, medium, and high levels of protein on serum, urine, and fecal metabolites, and gut microbiome in beagles. Following maintenance on a prefeed food for 14 days, dogs (15 neutered males, 15 spayed females, aged 2-9 years, mean initial weight 11.3 kg) consumed the low (18.99%, dry matter basis), medium (25.34%), or high (45.77%) protein foods, each for 90 days, in a William's Latin Square Design sequence. In serum and/or urine, metabolites associated with inflammation (9,10-dihydroxyoctadecanoic acid (DiHOME)), 12,13-DiHOME) and kidney dysfunction (urea, 5-hydroxyindole sulfate, 7-hydroxyindole sulfate,

Indexed as

Gastrointestinal MicrobiomeMetabolomicsAnimal FeedAnimalsBiodiversityBlood Chemical AnalysisDietDietary ProteinsDogsFecesFemaleMalePrincipal Component AnalysisUrineDietary Proteinscaninefecal pHfecesmetabolomicsmicrobiomeplasmaprotein levelsproteolysisuremic toxinsurine

Identifiers

PMID32806674
PMCPMC7472411
OpenAlexW3049703052

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.