ArticleNutrients2023
The Underlying Changes in Serum Metabolic Profiles and Efficacy Prediction in Patients with Extensive Ulcerative Colitis Undergoing Fecal Microbiota Transplantation.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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
11 citing papers in PubMed, 13 citations in OpenAlex.
- Pediatric health: mechanistic insights into inflammatory diseases and emerging therapeutic pathway-targeted approaches.Translational pediatrics · 2026Review
- Fecal microbiota transplantation in ulcerative colitis: mucosal immune mechanisms and precision microbiota therapy.Frontiers in immunology · 2026Review
- Recent Advancement of Fecal Microbiota Transplantation in the Treatment of Ulcerative Colitis- A Review.Current medicinal chemistry · 2026Review
- Microbiota transplant therapy in inflammatory bowel disease: advances and mechanistic insights.Gut microbes · 2025Review
- Review
- The Role of Gut Microbiota in Modulating Immune Signaling Pathways in Autoimmune Diseases.Neuromolecular medicine · 2025Review
- Artificial intelligence use for precision medicine in inflammatory bowel disease: a systematic review.American journal of translational research · 2025Review
- Fecal microbiota transplantation: application scenarios, efficacy prediction, and factors impacting donor-recipient interplay.Frontiers in microbiology · 2025Review
- Bile Acids in Inflammatory Bowel Disease: From Pathophysiology to Treatment.Biomedicines · 2024Review
- A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis.Computational and structural biotechnology journal · 2024Article
- Fecal microbiota transplantation: current challenges and future landscapes.Clinical microbiology reviews · 2024Review
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
(1) Background: Fecal microbiota transplantation (FMT) is an effective treatment for ulcerative colitis (UC). Metabolomic techniques would assist physicians in clinical decision-making. (2) Methods: Patients with active UC undergoing FMT were enrolled in the study and monitored for 3 months. We explored short-term changes in the serum metabolic signatures of groups and the association between baseline serum metabolomic profiles and patient outcomes. (3) Results: Forty-four eligible patients were included in the analysis. Of them, 50.0% and 29.5% achieved clinical response and clinical remission, respectively, 3 months post-FMT. The top two significantly altered pathways in the response group were vitamin B6 metabolism and aminoacyl-tRNA biosynthesis. Both the remission and response groups exhibited an altered and enriched pathway for the biosynthesis of primary bile acid. We found a clear separation between the remission and non-remission groups at baseline, characterized by the higher levels of glycerophosphocholines, glycerophospholipids, and glycerophosphoethanolamines in the remission group. A random forest (RF) classifier was constructed with 20 metabolic markers selected by the Boruta method to predict clinical remission 3 months post-FMT, with an area under the curve of 0.963. (4) Conclusions: FMT effectively induced a response in patients with active UC, with metabolites partially improving post-FMT in the responsive group. A promising role of serum metabolites in the non-invasive prediction of FMT efficacy for UC demonstrated the value of metabolome-informed FMT in managing UC.
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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.