Evidence map›Paper›PMID 35193703›Full record

ArticleAnimal microbiome2022

Metaproteomic profiling of fungal gut colonization in gnotobiotic mice.

Veronika Kuchařová Pettersen, Antoine Dufour, Marie-Claire Arrieta

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026
    Review
  4. Shared metabolism between a bacterial and fungal species that reside in the human gut.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Integrating the analysis of human biopsies using post-translational modifications proteomics.Protein science : a publication of the Protein Society · 2024
    Review
  6. Metaproteomics of Gut Fungi in Gnotobiotic Mice.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Gut Microbiome Proteomics in Food Allergies.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Review
  10. Review
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 2 countries.

Veronika Kuchařová PettersenDepartment of Physiology and Pharmacology, Health Research Innovation Centre, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4N1, Canada.
Antoine DufourDepartment of Physiology and Pharmacology, Health Research Innovation Centre, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4N1, Canada.
Marie-Claire ArrietaDepartment of Physiology and Pharmacology, Health Research Innovation Centre, University of Calgary, 3330 Hospital Drive N.W., Calgary, AB, T2N 4N1, Canada. marie.arrieta@ucalgary.ca.
University of Calgary · CAUiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEukaryotic microbes can modulate mammalian host health and disease states, yet the molecular contribution of gut fungi remains nascent. We previously showed that mice exclusively colonised with fungi displayed increased sensitivity to allergic airway inflammation and had fecal metabolite profiles similar to germ-free mice. This marginal effect on the host metabolome suggested that fungi do not primarily use metabolites to modulate the host immune system.

methodsTo describe functional changes attributed to fungal colonisation, we performed mass spectrometry-based analyses of feces (Label-Free Quantitative; LFQ) and the small intestine (labeling with Tandem Mass Tag; TMT) of gnotobiotic mice colonised with defined consortia of twelve bacterial species, five fungal species, or both. We also evaluated the effect of microbiome perturbances on the metaproteome by analysing feces from mouse pups treated with an antibiotic or antifungal.

resultsWe detected 6675 proteins in the mice feces, of which 3845 had determined LFQ levels. Analysis of variance showed changes in the different gnotobiotic mouse groups; specifically, 46% of 2860 bacterial, 15% of 580 fungal, and 76% of 405 mouse quantified proteins displayed differential levels. The antimicrobial treatments resulted in lasting changes in the bacterial and fungal proteomes, suggesting that the antimicrobials impacted the entire community. Fungal colonisation resulted in changes in host proteins functional in innate immunity as well as metabolism, predicting specific roles of gut fungi on host systems during early developmental stages. Several of the detected fungal proteins (3% of 1492) have been previously reported as part of extracellular vesicles and having immunomodulating properties. Using an isobaric labelling TMT approach for profiling low abundant proteins of the jejunal tissue, we confirmed that the five fungal species differentially impacted the host intestinal proteome compared to the bacterial consortium. The detected changes in mouse jejunal proteins (4% of 1514) were mainly driven by metabolic proteins.

conclusionsWe used quantitative proteomic profiling of gnotobiotic conditions to show how colonisation with selected fungal species impacts the host gut proteome. Our results suggest that an increased abundance of certain gut fungal species in early life may affect the developing intracellular attributes of epithelial and immune cells.

Indexed as

AntimicrobialsEarly life gut microbiomeGnotobiotic murine modelGut fungiMetaproteomicsQuantitative Proteomics

Identifiers

PMID35193703
PMCPMC8862486
OpenAlexW4226124876

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.