ArticleJournal of inflammation research2025
Multi-Omics Profiling of the 42-Day Infant Gut as a Pilot Predictor of Atopic Dermatitis at One Year: A Birth Cohort Study in China.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Seeding the Future: How Feeding Mode Shapes the Infant Gut Microbiota.Microorganisms · 2026Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early-life gut microbiota and metabolism are increasingly linked to immune development and atopic diseases. However, predictive microbial and metabolic markers present during the neonatal period for later atopic dermatitis (AD) remain poorly defined. This study aimed to identify early-life gut microbiome and metabolite signatures associated with the development of AD by one year of age. Methods: We conducted a prospective birth cohort study in Beijing, China, enrolling 18 infants with fecal samples collected at 42 days of age. Infants were followed for one year and classified into AD (n = 6) or non-AD (n = 12) groups. Fecal samples underwent 16S rRNA gene sequencing and untargeted metabolomic profiling. Key microbial taxa, differential metabolites, and functional pathways were identified and integrated via multi-omics correlation analysis. Results: While overall microbial diversity was similar between groups, Conclusion: Multi-omics profiling of the infant gut at 42 days identified microbial and metabolic features associated with later AD development. These findings support the gut-skin axis and suggest potential early-life biomarkers for predicting AD risk and informing targeted prevention strategies.
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