Evidence map›Paper›PMID 36988898›Full record

ReviewProbiotics and antimicrobial proteins2024

In Vitro Human Gastrointestinal Tract Simulation Systems: A Panoramic Review.

Yogini Dixit, Khushboo Kanojiya, Namrata Bhingardeve, Jayesh J Ahire, Dina Saroj

Abstract readReview
PubMed Publisher
In one paragraph

Review in Probiotics and antimicrobial proteins, 2024. 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
–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

10 citing papers in PubMed.

  1. Development of tea-based (Food science and biotechnology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Biomimic models forFood chemistry: X · 2025
    Review
  6. Simulator of the Human Intestinal Microbial Ecosystem (SHIMEPharmaceuticals (Basel, Switzerland) · 2024
    Review
  7. Article
  8. Article
  9. Article
  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

5 authors.

Yogini DixitAdvanced Enzyme Technologies Ltd., 5th Floor, A-Wing, Sun Magnetica, Louiswadi, Maharashtra, Thane West, India.
Khushboo KanojiyaAdvanced Enzyme Technologies Ltd., 5th Floor, A-Wing, Sun Magnetica, Louiswadi, Maharashtra, Thane West, India.
Namrata BhingardeveAdvanced Enzyme Technologies Ltd., 5th Floor, A-Wing, Sun Magnetica, Louiswadi, Maharashtra, Thane West, India.
Jayesh J AhireAdvanced Enzyme Technologies Ltd., 5th Floor, A-Wing, Sun Magnetica, Louiswadi, Maharashtra, Thane West, India. jayesh.ahire@advancedenzymes.com.ORCID 0000-0002-1142-8630
Dina SarojAdvanced Enzyme Technologies Ltd., 5th Floor, A-Wing, Sun Magnetica, Louiswadi, Maharashtra, Thane West, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulated human gastrointestinal (GI) tract systems are important for their applications in the fields of probiotics, nutrition and health. To date, various in vitro gut systems have been available to study GI tract dynamics and its association with health. In contrast to in vivo investigations, which are constrained by ethical considerations, in vitro models have several benefits despite the challenges involved in mimicking the GI environment. These in vitro models can be used for a range of research, from simple to dynamic, with one compartment to several compartments. In this review, we present a panoramic development of in vitro GI models for the first time through an evolutionary timeline. We tried to provide insight on designing an in vitro gut model, especially for novices. Latest developments and scope for improvement based on the limitations of the existing models were highlighted. In conclusion, designing an in vitro GI model suitable for a particular application is a multifaceted task. The bio-mimicking of the GI tract specific to geometrical, anatomical and mechanical features remains a challenge for the development of effective in vitro GI models. Advances in computer technology, artificial intelligence and nanotechnology are going to be revolutionary for further development. Besides this, in silico high-throughput technologies and miniaturisation are key players in the success of making in vitro modelling cost-effective and reducing the burden of in vivo studies.

Indexed as

Models, BiologicalProbioticsArtificial IntelligenceComputer SimulationGastrointestinal TractHumansArtificial intelligenceBio-mimickingGastrointestinal modelHealthNutritionProbiotics

Identifiers

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.