Evidence map›Paper›PMID 38046357›Full record

ReviewMicrobiome research reports2022

Modeling microbiota-associated human diseases: from minimal models to complex systems.

Doriane Aguanno, Amira Metwaly, Olivia I Coleman, Dirk Haller

Abstract readReview
In one paragraph

Review in Microbiome research reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Microbes Saving Lives and Reducing Suffering.Microbial biotechnology · 2025
    Article
  8. Review
  9. Review
  10. Review
  11. Special Issue on the "Regulation and Physiopathology of the Gut Barrier".International journal of molecular sciences · 2022
    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

4 authors.

Doriane AguannoChair of Nutrition and Immunology, Technical University of Munich, Freising 85354, Germany.
Amira MetwalyChair of Nutrition and Immunology, Technical University of Munich, Freising 85354, Germany.
Olivia I ColemanChair of Nutrition and Immunology, Technical University of Munich, Freising 85354, Germany.
Dirk HallerChair of Nutrition and Immunology, Technical University of Munich, Freising 85354, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alterations in the intestinal microbiota are associated with various human diseases of the digestive system, including obesity and its associated metabolic diseases, inflammatory bowel diseases (IBD), and colorectal cancer (CRC). All three diseases are characterized by modifications of the richness, composition, and metabolic functions of the human intestinal microbiota. Despite being multi-factorial diseases, studies in germ-free animal models have unarguably identified the intestinal microbiota as a causal driver of disease pathogenesis. However, for an increased mechanistic understanding of microbial signatures in human diseases, models require detailed refinement to closely mimic the human microbiota and reflect the complexity and range of dysbiosis observed in patients. The transplantation of human fecal microbiota into animal models represents a powerful tool for studying the causal and functional role of the dysbiotic human microbiome in a pathological context. While human microbiota-associated models were initially employed to study obesity, an increasing number of studies have applied this approach in the context of IBD and CRC over the past decade. In this review, we discuss different approaches that allow the functional validation of the bacterial contribution to human diseases, with emphasis on obesity and its associated metabolic diseases, IBD, and CRC. We discuss the utility of simple models, such as

Indexed as

colorectal cancerfecal microbiota transplantationhost-microbiota interactionsHuman microbiota-associated mouse modelsinflammatory bowel diseasesmetabolic diseasesobesity

Identifiers

PMID38046357
PMCPMC10688821

What OpenQuestion holds

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LicenceCC BY
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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.