Evidence map›Paper›PMID 36471455›Full record

ArticleAnimal microbiome2022

Dietary enrichment of resistant starches or fibers differentially alter the feline fecal microbiome and metabolite profile.

Anne H Lee, Aashish R Jha, Sungho Do, Elisa Scarsella, Justin Shmalberg, Amy Schauwecker, Andrew J Steelman, Ryan W Honaker, Kelly S Swanson

Abstract 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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. DietaryAnimals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Effects of feedingFrontiers in veterinary science · 2025
    Article
  9. Article
  10. Review
  11. The role of carbohydrates in canine and feline nutrition.Animal frontiers : the review magazine of animal agriculture · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Antioxidants (Basel, Switzerland) · 2023
    Article
  16. 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

9 authors.

Anne H LeeDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Aashish R JhaGenetic Heritage Group, Program in Biology, New York University Abu Dhabi, Abu Dhabi, UAE.
Sungho DoDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Elisa ScarsellaDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Justin ShmalbergNomNomNow, Inc., Oakland, CA, 94607, USA.
Amy SchauweckerPetSmart Proprietary Brand Product Development, Phoenix, AZ, 85080, USA.
Andrew J SteelmanDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Ryan W HonakerNomNomNow, Inc., Oakland, CA, 94607, USA.
Kelly S SwansonDepartment of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA. ksswanso@illinois.edu.

Funding

USDA Hatch Grant ILLU-538-937
6 · The paper itself

Abstract

backgroundCats are strict carnivores but possess a complex gastrointestinal (GI) microbial community that actively ferments dietary substrates that are not digested and reach the colon. The GI microbiota responses to dietary inclusion of resistant starches versus fibers have not been tested in cats. Thus, our objective was to evaluate the effects of diets enriched in resistant starch or fibers on the fecal characteristics, microbiome, and metabolite profiles of cats. Twelve healthy adult domestic shorthair cats (age = 9.6 ± 4.0 year; body weight = 3.9 ± 1.0 kg) were used in a replicated 3 × 3 Latin square design to test diets that were enriched with: (1) resistant starch (ERS), (2) a fiber-prebiotic-probiotic blend (FPPB), or (3) a fiber-prebiotic-probiotic blend + immune-modulating ingredients (iFPPB). In each 28-day period, 22 days of diet adaptation was followed by fecal and blood sample collection. Fecal samples were used for shotgun metagenomic sequencing. In addition, fecal and blood metabolite measurements and white blood cell stimulation was performed to assess immune function.

resultsA total of 1690 bacterial species were identified, with 259 species differing between fiber-rich and ERS treatments. In comparison with fiber-rich treatments that increased diversity and promoted Firmicutes and Bacteroidetes populations, resistant starch reduced microbial diversity and fecal pH, led to a bloom in Actinobacteria, and modified Kyoto Encyclopedia of Genes and Genomes orthology (KO) terms pertaining to starch and sucrose metabolism, fatty acid biosynthesis and metabolism, epithelial cell signaling, among others. Resistant starch also differentially modified fecal metabolite concentrations with relevance to GI and overall host health (increased butyrate; decreased propionate and protein catabolites - branched-chain fatty acids; phenols and indoles; ammonia) and reduced blood cholesterol, which correlated strongly with microbial taxa and KO terms, and allowed for a high predictive efficiency of diet groups by random forest analysis.

conclusionEven though domestic cats and other carnivores evolved by eating low-carbohydrate diets rich in protein and fat, our results demonstrate that the feline microbiome and metabolite profiles are highly responsive to dietary change and in directions that are predictable.

Indexed as

Feline gastrointestinal healthFeline microbiomeFeline nutritionPet health

Identifiers

PMID36471455
PMCPMC9720964

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.