ArticleCell2020
Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 231 papers, 10 of them syntheses that pooled 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.
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
231 citing papers in PubMed, 10 syntheses or guidelines pooled it, 430 citations in OpenAlex.
- Mapping research trends in irritable bowel syndrome and the gut microbiome: a cross-database bibliometric analysis.Frontiers in microbiology · 2026Pooled it
- Map the prevalence of irritable bowel syndrome across China: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Bibliometric and visual analysis of gut microbiota research in functional bowel disorders from 2016 to 2025.Frontiers in medicine · 2026Pooled it
- Multi-omics time-series analysis in microbiome research: a systematic review.Briefings in bioinformatics · 2025Pooled it
- Melody: meta-analysis of microbiome association studies for discovering generalizable microbial signatures.Genome biology · 2025Pooled it
- A bibliometric analysis of global research status and trends in irritable bowel syndrome and gut microbiota metabolites.Frontiers in microbiology · 2025Pooled it
- Meta-analysis of gut microbiota alterations in patients with irritable bowel syndrome.Frontiers in microbiology · 2024Pooled it
- Pooled it
- The gut microbiome-metabolome dataset collection: a curated resource for integrative meta-analysis.NPJ biofilms and microbiomes · 2022Pooled it
- A meta-analysis study of the robustness and universality of gut microbiome-metabolome associations.Microbiome · 2021Pooled it
- Effect of combined probiotics and doxycycline therapy on the gut-skin axis in rosacea.mSystems · 2024Trial
- Geraniol Treatment for Irritable Bowel Syndrome: A Double-Blind Randomized Clinical Trial.Nutrients · 2022Trial
- Trial
- Trial
- Article
- The role of gut microbiota in chronic intestinal pseudo-obstruction: exploring fecal microbiota transplantation as a treatment option.Gut microbes · 2026Article
- Sex- and Time-Resolved Physiological and Gut Ecosystem Responses to a Food-Grade Microbiome-Targeted Intervention in Collegiate Endurance Athletes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Gut microbiome in pediatric acute pancreatitis and Crohn's disease versus irritable bowel syndrome and healthy controls.Journal of pediatric gastroenterology and nutrition · 2026Article
- Irritable bowel syndrome.Nature reviews. Disease primers · 2026Review
- Immune dysregulation and gut microbiota: Connection to health and disease development.Neural regeneration research · 2026Article
171 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
29 authors at 11 institutions in 6 countries.
Funding
Abstract
The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease has been difficult due to apparent disconnects between animal and human studies and lack of an integrated multi-omics view of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome, and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases. VIDEO ABSTRACT.
Indexed as
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.