ArticleGut microbes
From animal models to gut-on-chip: the challenging journey to capture inter-individual variability in chronic digestive disorders.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- The Programmable Microbiome: Integrative AI and Multi-Omics Frameworks for Precision T2DM Management.Biology · 2026Review
- Enhancements of symbiotic adhesion and antibiotic efficacy observed by the metabolic crosstalk within cell-bacteria cocultured on a microfluidic gut chip.Journal of pharmaceutical analysis · 2026Article
- Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.Journal of oral microbiology · 2026Review
- Emerging advances in intestinal models for in vitro preclinical research.American journal of physiology. Gastrointestinal and liver physiology · 2025Review
- Mechanisms and implications of the gut microbial modulation of intestinal metabolic processes.npj metabolic health and disease · 2025Review
- From mechanisms to precision medicine: the role of organoids in studying the gut microbiota-tumor microenvironment axis.Frontiers in microbiology · 2025Review
- Gut bioengineered models to study host-microbiota-probiotics interactions.Microbiome research reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic digestive disorders are of increasing incidence worldwide with expensive treatments and no available cure. Available therapeutic schemes mainly rely on symptom relief, with large degrees of variability in patients' response to such treatments, underlining the need for new therapeutic strategies. There are strong indications that the gut microbiota's contribution seems to be a key modulator of disease activity and patients' treatment responses. Hence, efforts have been devoted to understanding host-microbe interactions and the mechanisms underpinning such variability. Animal models, being the gold standard, provide valuable mechanistic insights into host-microbe interactions. However, they are not exempt from limitations prompting the development of alternative methods. Emerging microfluidic technologies and gut-on-chip models were shown to mirror the main features of gut physiology and disease state, reflect microbiota modification, and include functional readouts for studying host responses. In this commentary, we discuss the relevance of animal models in understanding host-microbe interactions and how gut-on-chip technology holds promises for addressing patient variability in responses to chronic digestive disease treatment.
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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.