SynthesisInternational journal of environmental research and public health2025
Meta-Analysis of the Gut Microbiome: An African American Representation.
Synthesis in International journal of environmental research and public health, 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
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
1 citing paper in PubMed.
- The gut microbiota-bile acid-FXR axis in NAFLD: from progression to therapeutic applications.Frontiers in physiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The human gut hosts approximately 100 trillion microbes, forming a complex ecosystem critical to the body's metabolism, nutrition, and immune function. Despite growing research, African Americans remain underrepresented in clinical studies. This study addresses the gap through a comprehensive meta-analysis of gut microbiome datasets. Fecal sample data from amplicon sequencing were analyzed using a bioinformatics pipeline that incorporated DADA2 for sequence processing and Phyloseq for diversity analysis within RStudio (v2024.09.0+375). Statistical approaches, including Wilcoxon tests, Kruskal-Wallis tests, PERMANOVA, and ANCOM-BC, identified significant microbial differences. Results revealed that African Americans exhibited lower microbial diversity. Beta diversity metrics demonstrated a stronger effect of ethnicity compared to diet, age, sex, and BMI, highlighting its significance in microbiome variation. Similarly, ANCOM-BC identified
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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.