Evidence map›Paper›PMID 20444515›Full record

ReviewInternational journal of food microbiology2010

Functional cell models of the gut and their applications in food microbiology--a review.

Avrelija Cencic, Tomaz Langerholc

Abstract readReview
In one paragraph

Review in International journal of food microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
–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

62 citing papers in PubMed.

  1. Article
  2. Gastrointestinal tract, its pathophysiology andWorld journal of gastroenterology · 2025
    Review
  3. Article
  4. Paraffin Embedding and Histological Staining of Intestinal Organoids.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Application ofLife (Basel, Switzerland) · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. The Progress of Intestinal Epithelial Models from Cell Lines to Gut-On-Chip.International journal of molecular sciences · 2021
    Review
  18. Article
  19. Article
  20. Review

2 more citing papers are in PubMed but not listed here.

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

2 authors.

Avrelija CencicDepartment of Microbiology, Biochemistry, Molecular Biology and Biotechnology, Faculty of Agriculture and Life Science, University of Maribor, Maribor, Slovenia. avrelija.cencic@uni-mb.si
Tomaz Langerholc

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal experimentation has a long tradition for risk assessment of new drugs before they reach the clinic. To reduce expensive animal experimentation, attempts have been made to build inexpensive and convenient intestinal functional cell models to study toxicity and bioavailability of new substances along with providing relevant models to study interactions between the host, pathogens and intestinal microflora. We review the available cell lines and models of the intestine and their potential uses. Tumor derived cell lines such as Caco-2, T84 and HT-29 are widely used despite many drawbacks, which are discussed with respect to complexity of the gut, where various cell types interact with commensal microbiota and gut-associated lymphoid tissue. To address this complexity, 3D models of human and animal gut represent a promising in vitro system to mimic in vivo situation without the use of transformed cell lines.

Indexed as

Food MicrobiologyModels, AnimalAnimalsCell LineHumansImaging, Three-DimensionalIntestinesLymphoid TissueModels, BiologicalResearch Design

Identifiers

PMID20444515
PMCPMC7173225

What OpenQuestion holds

Textmetadata
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.