Trial reportPloS one2012
Proof of concept of microbiome-metabolome analysis and delayed gluten exposure on celiac disease autoimmunity in genetically at-risk infants.
Trial report in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.
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
129 citing papers in PubMed, 255 citations in OpenAlex.
- Associations between residential greenness, land cover and risk of celiac disease in genetically at-risk children: Celiac Prediction in Skåne study.Journal of pediatric gastroenterology and nutrition · 2026Article
- Gut microbiota in regulatory T cell generation and function: mechanisms and health implications.Gut microbes · 2025Review
- High-resolution analysis of the treated coeliac disease microbiome reveals strain-level variation.Gut microbes · 2025Article
- Children who develop celiac disease are predicted to exhibit distinct metabolic pathways among their gut microbiota years before diagnosis.Microbiology spectrum · 2025Article
- Variations in gut microbiota in celiac disease patients: a systematic review.Gastroenterology and hepatology from bed to bench · 2025Review
- Coeliac disease and microbiota: is it time for personalised biotics intervention? A scoping review.BMJ nutrition, prevention & health · 2025Article
- Prevalence of delivery mode in an Italian nationwide cohort with celiac disease: a SIGENP multicenter retrospective study (the CD-deliver-IT).Italian journal of pediatrics · 2024Article
- How the Microbiota May Affect Celiac Disease and What We Can Do.Nutrients · 2024Review
- Vitamin D: An Essential Nutrient in the Dual Relationship between Autoimmune Thyroid Diseases and Celiac Disease-A Comprehensive Review.Nutrients · 2024Review
- Celiac Disease: The Importance of Studying the Duodenal Mucosa-Associated Microbiota.Nutrients · 2024Review
- Undiagnosed Celiac Disease and Periodontal Bone Loss: A Cross-Sectional Radiological Assessment from the HUNT Study.International journal of dentistry · 2024Article
- Coeliac disease: what can we learn from prospective studies about disease risk?The Lancet. Child & adolescent health · 2024Review
- Review
- Probiotics to Prevent Celiac Disease and Inflammatory Bowel Diseases.Advances in experimental medicine and biology · 2024Review
- From an understanding of etiopathogenesis to novel therapies-what is new in the treatment of celiac disease?Frontiers in pharmacology · 2024Review
- Celiac disease: mechanisms and emerging therapeutics.Trends in pharmacological sciences · 2023Review
- The Role of Intestinal Microbiota in Celiac Disease and Further Therapeutic Perspectives.Life (Basel, Switzerland) · 2023Review
- Review
- Advances in Understanding the Human Gut Microbiota and Its Implication in Pediatric Celiac Disease-A Narrative Review.Nutrients · 2023Review
- Article
69 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
16 authors at 2 institutions in 2 countries.
Funding
Abstract
Celiac disease (CD) is a unique autoimmune disorder in which the genetic factors (DQ2/DQ8) and the environmental trigger (gluten) are known and necessary but not sufficient for its development. Other environmental components contributing to CD are poorly understood. Studies suggest that aspects of gluten intake might influence the risk of CD occurrence and timing of its onset, i.e., the amount and quality of ingested gluten, together with the pattern of infant feeding and the age at which gluten is introduced in the diet. In this study, we hypothesize that the intestinal microbiota as a whole rather than specific infections dictates the switch from tolerance to immune response in genetically susceptible individuals. Using a sample of infants genetically at risk of CD, we characterized the longitudinal changes in the microbial communities that colonize infants from birth to 24 months and the impact of two patterns of gluten introduction (early vs. late) on the gut microbiota and metabolome, and the switch from gluten tolerance to immune response, including onset of CD autoimmunity. We show that infants genetically susceptible to CD who are exposed to gluten early mount an immune response against gluten and develop CD autoimmunity more frequently than at-risk infants in which gluten exposure is delayed until 12 months of age. The data, while derived from a relatively small number of subjects, suggest differences between the developing microbiota of infants with genetic predisposition for CD and the microbiota from infants with a non-selected genetic background, with an overall lack of bacteria of the phylum Bacteriodetes along with a high abundance of Firmicutes and microbiota that do not resemble that of adults even at 2 years of age. Furthermore, metabolomics analysis reveals potential biomarkers for the prediction of CD. This study constitutes a definite proof-of-principle that these combined genomic and metabolomic approaches will be key to deciphering the role of the gut microbiota on CD onset.
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.