ArticleGut microbes
A specific microbiota signature is associated to various degrees of ulcerative colitis as assessed by a machine learning approach.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
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Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Is the microbiome the answer to inflammatory bowel disease: systematic review.Langenbeck's archives of surgery · 2025Pooled it
- Human microbiota dysbiosis after SARS-CoV-2 infection have the potential to predict disease prognosis.BMC infectious diseases · 2023Pooled it
- Protease-serpin-microbiome interactions in inflammatory bowel disease: toward integrated biomarkers of gut health.Gut microbes · 2026Review
- Omnidirectional Interaction Networks Modulating Phenotypic Plasticity in the Gut Microbiota Towards Ulcerative Colitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Machine learning and experiment reveals gut microbial predictors of functional fatty acids in pork.Food chemistry: X · 2026Article
- Diet and Gut Microbiota in Inflammatory Bowel Disease: A Clinical and Nutritional Perspective.Pharmaceuticals (Basel, Switzerland) · 2026Review
- In mouse and in vitro models, bowel preparation promotes pathogen colonization, translocation, and exacerbation of inflammation.Cell reports. Medicine · 2026Article
- One therapy, many targets: redefining ulcerative colitis treatment through fecal microbiota transplantation.Therapeutic advances in gastroenterology · 2026Review
- Blood Metabolites Mediate the Effects of Gut Microbiota on Diabetic Nephropathy: A Mendelian Randomization Study.International journal of endocrinology · 2026Article
- Dietary L-arginine supplementation exerts preventive effects on colitis through modulation of the gut microbiota.Frontiers in nutrition · 2026Article
- Cross-species engraftment biases and metabolic divergence in gnotobiotic mice humanized with ulcerative colitis microbiota.Gut microbes · 2025Article
- Combined Prebiotic Extract of Mung Bean, Red Bean, and Fennel Improves Intestinal Barrier Integrity in HT-29 Cells and DSS-Induced Colitis via Gut Microbiota Alteration.Current issues in molecular biology · 2025Article
- Protease profiling in fecal samples: a novel non-invasive diagnostic tool for gastrointestinal disorders.Scientific reports · 2025Article
- Machine learning identifies a distinct microbiota signature in immune checkpoint inhibitor colitis compared with inflammatory bowel disease.The oncologist · 2025Article
- AhR Activation Transcriptionally Induces Anti-Microbial Peptide Alpha-Defensin 1 Leading to Reversal of Gut Microbiota Dysbiosis and Colitis.Gut microbes · 2025Article
- A systematic longitudinal study of microbiome: integrating temporal-spatial dimensions with causal and deep learning models.BMC genomics · 2025Article
- New potential biomarkers of ulcerative colitis and disease course - integrated metagenomic and metabolomic analysis among Polish patients.Journal of gastroenterology · 2025Article
- Functional Profiling Demonstrates That a Sulfide-Reducing Diet Achieves Microenvironmental Targets in Ulcerative Colitis.Inflammatory bowel diseases · 2025Article
- Childhood gut microbiome is linked to internalizing symptoms at school age via the functional connectome.Nature communications · 2025Observational
- A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships.BMC medical informatics and decision making · 2025Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ulcerative colitis (UC) is a complex immune-mediated disease in which the gut microbiota plays a central role, and may determine prognosis and disease progression. We aimed to assess whether a specific microbiota profile, as measured by a machine learning approach, can be associated with disease severity in patients with UC. In this prospective pilot study, consecutive patients with active or inactive UC and healthy controls (HCs) were enrolled. Stool samples were collected for fecal microbiota assessment analysis by 16S rRNA gene sequencing approach. A machine learning approach was used to predict the groups' separation. Thirty-six HCs and forty-six patients with UC (20 active and 26 inactive) were enrolled. Alpha diversity was significantly different between the three groups (Shannon index: p-values: active UC vs HCs = 0.0005; active UC vs inactive UC = 0.0273; HCs vs inactive UC = 0.0260). In particular, patients with active UC showed the lowest values, followed by patients with inactive UC, and HCs. At species level, we found high levels of
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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.