Evidence map›Paper›PMID 39736603›Full record

ReviewBMC biology2024

Harnessing 3D models to uncover the mechanisms driving infectious and inflammatory disease in the intestine.

Diana Micati, Sara Hlavca, Wing Hei Chan, Helen E Abud

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
    Review
  2. 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

4 authors.

Diana MicatiDepartment of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia.
Sara HlavcaDepartment of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia.
Wing Hei ChanDepartment of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia.
Helen E AbudDepartment of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia. helen.abud@monash.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Representative models of intestinal diseases are transforming our knowledge of the molecular mechanisms of disease, facilitating effective drug screening and avenues for personalised medicine. Despite the emergence of 3D in vitro intestinal organoid culture systems that replicate the genetic and functional characteristics of the epithelial tissue of origin, there are still challenges in reproducing the human physiological tissue environment in a format that enables functional readouts. Here, we describe the latest platforms engineered to investigate environmental tissue impacts, host-microbe interactions and enable drug discovery. This highlights the potential to revolutionise knowledge on the impact of intestinal infection and inflammation and enable personalised disease modelling and clinical translation.

Indexed as

InflammationOrganoidsAnimalsHumansIntestinal DiseasesIntestinesModels, BiologicalEpithelial-microbe interactionEpithelium-mesenchyme interactionHigh-throughput screeningInflammatory bowel diseaseIntestinal diseasesModellingOrganoid co-culturePersonalised medicine

Identifiers

PMID39736603
PMCPMC11686917

What Socratic 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 Socratic graph.