Evidence map›Paper›PMID 33911166›Full record

ArticleScientific reports2021

Untargeted metabolomic analysis in cats with naturally occurring inflammatory bowel disease and alimentary small cell lymphoma.

Sina Marsilio, Betty Chow, Steve L Hill, Mark R Ackermann, J Scot Estep, Benjamin Sarawichitr, Rachel Pilla, Jonathan A Lidbury, Joerg M Steiner, Jan S Suchodolski

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.4field-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

23 citing papers in PubMed, 30 citations in OpenAlex.

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

10 authors at 4 institutions in 1 country.

Sina MarsilioDepartment of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, One Shields Avenue, Davis, CA, 95616, USA. smarsilio@ucdavis.edu.ORCID 0000-0002-0693-0669
Betty ChowVeterinary Specialty Hospital, San Diego, CA, USA.
Steve L HillVeterinary Specialty Hospital, San Diego, CA, USA.
Mark R AckermannOregon Veterinary Diagnostic Laboratory, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA.
J Scot EstepTexas Veterinary Pathology, LLC., San Antonio, TX, USA.
Benjamin SarawichitrGastrointestinal Laboratory, Texas A&M University, College Station, TX, USA.
Rachel PillaGastrointestinal Laboratory, Texas A&M University, College Station, TX, USA.
Jonathan A LidburyGastrointestinal Laboratory, Texas A&M University, College Station, TX, USA.
Joerg M SteinerGastrointestinal Laboratory, Texas A&M University, College Station, TX, USA.
Jan S SuchodolskiGastrointestinal Laboratory, Texas A&M University, College Station, TX, USA.
Texas A&M University · USOrthopedic Specialty Hospital · USOregon State University · USUniversity of California, Davis · US

Funding

HSRD VA IIR 16-018
6 · The paper itself

Abstract

Feline chronic enteropathy (CE) is a common gastrointestinal disorder in cats and mainly comprises inflammatory bowel disease (IBD) and small cell lymphoma (SCL). Differentiation between IBD and SCL can be diagnostically challenging. We characterized the fecal metabolome of 14 healthy cats and 22 cats with naturally occurring CE (11 cats with IBD and 11 cats with SCL). Principal component analysis and heat map analysis showed distinct clustering between cats with CE and healthy controls. Random forest classification revealed good group prediction for healthy cats and cats with CE, with an overall out-of-bag error rate of 16.7%. Univariate analysis indicated that levels of 84 compounds in cats with CE differed from those in healthy cats. Polyunsaturated fatty acids held discriminatory power in differentiating IBD from SCL. Metabolomic profiles of cats with CE resembled those in people with CE with significant alterations of metabolites related to tryptophan, arachidonic acid, and glutathione pathways.

Indexed as

MetabolomeAnimalsCat DiseasesCatsDiagnosis, DifferentialFemaleInflammatory Bowel DiseasesLymphomaMale

Identifiers

PMID33911166
PMCPMC8080598
OpenAlexW3158088274

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.