ArticleFrontiers in cellular and infection microbiology2021
Characteristics of Fecal Microbiota and Machine Learning Strategy for Fecal Invasive Biomarkers in Pediatric Inflammatory Bowel Disease.
Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Fecal Microbial Community Profiling Allows Discrimination of Phenotype and Treatment Response in Pediatric Crohn's Disease and Ulcerative Colitis-An International Meta-Analysis.Inflammatory bowel diseases · 2025Pooled it
- Comparison of the gut microbiota in older people with and without sarcopenia: a systematic review and meta-analysis.Frontiers in cellular and infection microbiology · 2025Pooled it
- Maternal Preconception Antibiotic Exposure Disrupts Microbial Succession: A Transgenerational Risk for Offspring Gut Mucosal Immaturity and Colitis Susceptibility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Xu Chunfu's Modified Xianglian Pill Regulates the NOX2/ROS/Mitochondria/NLRP3 Axis to Treat Ulcerative Colitis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Tissue and stool microbiome in pediatric inflammatory bowel disease patients: diversity differs in patients with relapsing and non-relapsing Crohn's disease.Gut pathogens · 2025Article
- SHAP-based binarization enhances metataxonomic machine learning with application to gut microbiota of inflammatory bowel disease.Scientific reports · 2025Article
- Pediatric inflammatory bowel disease in mother‒child pairs: clinical risk factors and gut microbiota characteristics.Journal of Zhejiang University. Science. B · 2025Article
- Cooperation of TRADD- and RIPK1-dependent cell death pathways in maintaining intestinal homeostasis.Nature communications · 2025Article
- Multi-Niche Microbial Profiling in Papillary Thyroid Carcinoma and Thyroid Nodules: Linking Oral, Gut, and Tissue Microbiota.Journal of inflammation research · 2025Article
- Gut-microbiota-based ensemble model predicts prognosis of pediatric inflammatory bowel disease.iScience · 2024Article
- Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence.United European gastroenterology journal · 2024Review
- Article
- Proportion-based normalizations outperform compositional data transformations in machine learning applications.Microbiome · 2024Article
- Methodology for biomarker discovery with reproducibility in microbiome data using machine learning.BMC bioinformatics · 2024Article
- Characteristics of the gut microbiota and the effect ofFrontiers in microbiology · 2024Article
- Exploring the Plasticity of Diet on Gut Microbiota and Its Correlation with Gut Health.Nutrients · 2023Article
- Barley Leaf AmelioratesNutrients · 2023Article
- Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease.GigaScience · 2022Article
- Dietary Oyster (Foods (Basel, Switzerland) · 2022Article
- Gut microbial evidence chain in high-salt diet exacerbates intestinal aging process.Frontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early diagnosis and treatment of pediatric Inflammatory bowel disease (PIBD) is challenging due to the complexity of the disease and lack of disease specific biomarkers. The novel machine learning (ML) technique may be a useful tool to provide a new route for the identification of early biomarkers for the diagnosis of PIBD. Methods: In total, 66 treatment naive PIBD patients and 27 healthy controls were enrolled as an exploration cohort. Fecal microbiome profiling using 16S rRNA gene sequencing was performed. The correlation between microbiota and inflammatory and nutritional markers was evaluated using Spearman's correlation. A random forest model was used to set up an ML approach for the diagnosis of PIBD using 1902 markers. A validation cohort including 14 PIBD and 48 irritable bowel syndrome (IBS) was enrolled to further evaluate the sensitivity and accuracy of the model. Result: Compared with healthy subjects, PIBD patients showed a significantly lower diversity of the gut microbiome. The increased Conclusion: The diagnosis penal based on the ML of the gut microbiome may be a favorable tool for the precise diagnosis and treatment of PIBD. A study of the relationship between disease status and the microbiome was an effective way to clarify the pathogenesis of PIBD.
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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.