ArticleThe American journal of clinical nutrition2024
Gut metabolome and microbiota signatures predict response to treatment with exclusive enteral nutrition in a prospective study in children with active Crohn's disease.
Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 12 citations in OpenAlex.
- Current perspectives and future horizons in predicting response to nutrition therapy in children with Crohn's disease - a narrative review.Pediatric research · 2026Review
- Enteral Nutrition Is Associated with a Distinct Gut Microbiome Composition and Fermentation Capacity Profile After Acute Colonic Injury in Rats.International journal of molecular sciences · 2026Article
- Precision nutrition for the prevention and management of inflammatory bowel disease.Nature reviews. Gastroenterology & hepatology · 2026Review
- Review
- Dietary Therapies in Inflammatory Bowel Disease and Their Effects on Disease Activity and the Gut Microbiome.Nutrients · 2026Review
- Diet, Gut Microbiome, and Microbial Metabolites in Inflammatory Bowel Disease: From Functional Dysbiosis to Precision Nutrition.International journal of molecular sciences · 2026Review
- Diet and Gut Microbiota in Inflammatory Bowel Disease: A Clinical and Nutritional Perspective.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.Journal of pediatric gastroenterology and nutrition · 2026Article
- Metagenomic Sequencing Reveals Distinct Gut Microbiome Profiles in Therapy-Naïve de Novo Pediatric Inflammatory Bowel Disease.Inflammatory bowel diseases · 2026Article
- Baseline gut microbiome features associated with fecal calprotectin response to exclusive enteral nutrition in pediatric Crohn's disease.Frontiers in pediatrics · 2026Article
- Exploring diet-microbiota interactions and therapeutic nutrition management in inflammatory bowel disease.Biophysics reports · 2025Article
- Review
- Assessing the Links Between Artificial Intelligence and Precision Nutrition.Current nutrition reports · 2025Review
- Tryptophan metabolites profile predict remission with dietary therapy in pediatric Crohn's disease.Therapeutic advances in gastroenterology · 2025Article
- Patient experiences with and adherence to Crohn's disease exclusion diet in Dutch Crohn's disease patients: a cohort study.Therapeutic advances in gastroenterology · 2025Article
- Diet and Microbiota Modulation for Chronic Pouchitis: Evidence, Challenges, and Opportunities.Nutrients · 2024Review
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Authors and funding
13 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting response to exclusive enteral nutrition (EEN) in active Crohn's disease (CD) could lead to therapy personalization and pretreatment optimization.
objectivesThis study aimed to explore the ability of pretreatment parameters to predict fecal calprotectin (FCal) levels at EEN completion in a prospective study in children with CD.
methodsIn children with active CD, clinical parameters, dietary intake, cytokines, inflammation-related blood proteomics, and diet-related metabolites, metabolomics and microbiota in feces, were measured before initiation of 8 wk of EEN. Prediction of FCal levels at EEN completion was performed using machine learning. Data are presented with medians (IQR).
resultsOf 37 patients recruited, 15 responded (FCal < 250 μg/g) to EEN (responders) and 22 did not (nonresponders). Clinical and immunological parameters were not associated with response to EEN. Responders had lesser (μmol/g) butyrate [responders: 13.2 (8.63-18.4) compared with nonresponders: 22.3 (12.0-32.0); P = 0.03], acetate [responders: 49.9 (46.4-68.4) compared with nonresponders: 70.4 (57.0-95.5); P = 0.027], phenylacetate [responders: 0.175 (0.013-0.611) compared with nonresponders: 0.943 (0.438-1.35); P = 0.021], and a higher microbiota richness [315 (269-347) compared with nonresponders: 243 (205-297); P = 0.015] in feces than nonresponders. Responders consumed (portions/1000 kcal/d) more confectionery products [responders: 0.55 (0.38-0.72) compared with nonresponders: 0.19 (0.01-0.38); P = 0.045]. A multicomponent model using fecal parameters, dietary data, and clinical and immunological parameters predicted response to EEN with 78% accuracy (sensitivity: 80%; specificity: 77%; positive predictive value: 71%; negative predictive value: 85%). Higher taxon abundance from Ruminococcaceae, Lachnospiraceae, and Bacteroides and phenylacetate, butyrate, and acetate were the most influential variables in predicting lack of response to EEN.
conclusionsWe identify microbial signals and diet-related metabolites in feces, which could comprise targets for pretreatment optimization and personalized nutritional therapy in pediatric CD.
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