ReviewGut microbes2020
Research in a time of enteroids and organoids: how the human gut model has transformed the study of enteric bacterial pathogens.
Review in Gut microbes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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.
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.
Who cites it
29 citing papers in PubMed.
- Characterization of the role of putativeJournal of bacteriology · 2026Article
- Ethical review key considerations for organoid applications in biomedical research-a systematic review.Frontiers in cell and developmental biology · 2026Review
- EnteroaggregativeEcoSal Plus · 2025Review
- Utility of in Vivo and Ex-vivo Models in Food Allergy Research: Lessons for Shrimp Allergy.Clinical reviews in allergy & immunology · 2025Review
- Human antibody targetingmBio · 2025Article
- Unravelling three-way interactions betweenJournal of medical microbiology · 2025Review
- Human intestinal enteroids: Nonclinical applications for predicting oral drug disposition, toxicity, and efficacy.Pharmacology & therapeutics · 2025Review
- Shigella sonnei: epidemiology, evolution, pathogenesis, resistance and host interactions.Nature reviews. Microbiology · 2025Review
- Review
- Applying 3D cultures and high-throughput technologies to study host-pathogen interactions.Frontiers in immunology · 2025Review
- Review
- Advancements in understanding bacterial enteritis pathogenesis through organoids.Molecular biology reports · 2024Review
- Translocation across a human enteroid monolayer by zoonoticiScience · 2024Article
- Shigella-Controlled Human Infection Models: Current and Future Perspectives.Current topics in microbiology and immunology · 2024Review
- Cholera intoxication of human enteroids reveals interplay between decoy and functional glycoconjugate ligands.Glycobiology · 2023Article
- The role of the minor colonization factor CS14 in adherence to intestinal cell models by geographically diverse ETEC isolates.mSphere · 2023Article
- Apical-Out Enteroids as an Innovative Model for Necrotizing Enterocolitis.The Journal of surgical research · 2023Article
- Review
- The role of CFA/I in adherence and toxin delivery by ETEC expressing multiple colonization factors in the human enteroid model.PLoS neglected tropical diseases · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Enteric bacterial pathogens cause significant morbidity and mortality globally. Studies in tissue culture and animal models shaped our initial understanding of these host-pathogen interactions. However, intrinsic shortcomings in these models limit their application, especially in translational applications like drug screening and vaccine development. Human intestinal enteroid and organoid models overcome some limitations of existing models and advance the study of enteric pathogens. In this review, we detail the use of human enteroids and organoids to investigate the pathogenesis of invasive bacteria
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Identifiers
What OpenQuestion holds
Registered trials
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.