ArticleFood science & nutrition2024
Gut microbiota alterations and associations with nutrients in children with celiac disease.
Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Bacteroides ovatus Has the Potential to Be a Next-Generation Probiotic Strain.Probiotics and antimicrobial proteins · 2026Review
- Associations Between Microbiota Awareness, Healthy Eating Attitude, and Sociodemographic Factors in University Students.Food science & nutrition · 2025Article
- Gut microbiota alterations and associations with nutrients in children with celiac disease.Food science & nutrition · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Celiac disease is a chronic inflammatory condition that is not well understood in relation to the microbiome. Our objective was to demonstrate changes in the microbiota and the relationships between nutrients in children with celiac disease (CD) who followed a gluten-free diet (GFD). A group of 11 children who were recently diagnosed with CD, ranging in age from 3 to 12, were monitored for a period of 6 months. GFD is designed based on the individual's specific energy and nutrient needs, with strict control over dietary adherence. Food consumption, blood, and fecal samples were taken. Fecal samples were put through 16s rRNA sequencing. Microbial modifications were demonstrated using alpha diversity, beta diversity, nonmetric multidimensional scaling analysis (NDMS),
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