Evidence map›Paper›PMID 40779136›Full record

ArticleAMB Express2025

Demographic drivers of gut microbiome diversity.

Hannaneh Kabir, Matilda Holtz, Justine Choueiri, Mohammad Reza Kaazempur Mofrad

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AMB Express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hannaneh KabirMolecular Cell Biomechanics Lab, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA.
Matilda HoltzMolecular Cell Biomechanics Lab, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA.
Justine ChoueiriMolecular Cell Biomechanics Lab, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA.
Mohammad Reza Kaazempur MofradMolecular Cell Biomechanics Lab, Departments of Bioengineering and Mechanical Engineering, University of California Berkeley, Berkeley, CA, USA. mofrad@berkeley.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiome plays a central role in orchestrating metabolic, immune, and neurological functions essential for human health. While extensive research has explored the effects of diseases and pathological conditions on gut microbiome composition, the influence of demographic factors remains underexplored, limiting our understanding of microbiome variations in disease states. This study addresses this gap by investigating the impact of demographic variables, including age, sex, and geography, on gut microbiome diversity in healthy individuals. Using the American Gut Project's extensive dataset and the QIIME2 bioinformatics pipeline, we conducted a comprehensive analysis of microbial profiles across diverse demographic groups. Our results revealed significant age-related shifts in microbial richness and composition, and geographic location strongly influenced phylogenetic diversity. In contrast, sex exhibited limited impact on microbial diversity within healthy BMI ranges. These findings highlight the critical role of demographic factors in shaping gut microbiome diversity, providing a foundational framework to better contextualize disease-related microbiome variations and advance personalized healthcare approaches.

Indexed as

Alpha diversityBeta diversityDemographic factorsGut microbiome diversityMicrobial community compositionQIIME2 analysis

Identifiers

PMID40779136
PMCPMC12334389

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.