Evidence map›Paper›PMID 39537028›Full record

ArticleThe American journal of clinical nutrition2025

Associations of alcohol intake with gut microbiome: a prospective study in a predominantly low-income Black/African American population.

Lili Liu, Sang M Nguyen, Lei Wang, Jiajun Shi, Jirong Long, Qiuyin Cai, Martha J Shrubsole, Xiao-Ou Shu, Wei Zheng, Danxia Yu

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

10 authors.

Lili LiuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Sang M NguyenDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Lei WangDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Jiajun ShiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Martha J ShrubsoleDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Danxia YuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, School of Medicine, Vanderbilt University, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States. Electronic address: danxia.yu@vumc.org.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Ben Ho Park · 1995 to 2026
$172.8M
Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARY Kay WASHINGTON · 2002 to 2026
$29.9M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
The Gut Microbiota in Metabolic Surgery: A Multi-Ethnic, Multi-Omic, Longitudinal StudyR01DK126721 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YU, DANXIA · 2021 to 2025
$3.1M
NCI NIH HHS P30 CA068485NCI NIH HHS U01 CA202979NIDDK NIH HHS P30 DK058404NIDDK NIH HHS R01 DK126721
6 · The paper itself

Abstract

backgroundAlcohol intake can alter gut microbiome, which may subsequently affect human health. However, limited population-based, prospective studies have investigated associations of habitual and recent alcohol intake with the gut microbiome, particularly among Black/African American individuals.

objectiveWe examined the association of alcohol intake with gut microbiome in a predominantly low-income Black/African American population.

methodsWe investigated the dose- and type-specific associations of habitual and recent alcohol intake with the gut microbiome among 538 Black/African American adults (150 males and 388 females). Habitual and recent alcohol intakes were assessed at cohort baseline (2002-2009) and stool collection (2018-2021), respectively. Gut microbiome was profiled using shotgun metagenomic sequencing. Generalized linear models were employed to evaluate the associations between alcohol intakes and gut microbiome composition, with adjustments for sociodemographic characteristics, other lifestyle factors, and comorbidities. False discovery rate (FDR) <0.1 was considered statistically significant.

resultsThe mean age at enrollment was 53.2 ± 7.7 y, with a mean interval of 13.8 y (range: 9.0-18.1 y) between baseline and stool sample collection. Recent alcohol intake was not significantly associated with microbial taxa abundance. However, habitual alcohol intake, both total amount and types of alcoholic beverages, showed significant associations with several microbial taxa abundance, primarily in males, including species within classes Clostridia, Bacilli, and Mahellia within Firmicutes. Specifically, total alcohol, beer, and red wine intakes were all inversely associated with genus MGYG-HGUT-02719 within class Clostridia (β = -2.26 to -0.09 per 1 drink/d increase). Red wine consumption was also inversely associated with the abundance of genera CAG-110, Oscillibacter, and Gemmiger within class Clostridia (β = -3.88 to -2.69), whereas positively associated with genus Absiella (β = 1.81) within class Bacilli. Most of these associations remained significant after additionally adjusting for BMI and baseline comorbidities.

conclusionsWe identified gut microbial taxa associated with habitual alcohol intake among Black/African American males, although the magnitudes of these associations were generally small. Further research is needed to determine if these bacteria modify alcohol-disease relationships.

Indexed as

Alcohol DrinkingBlack or African AmericanGastrointestinal MicrobiomeAdultFecesFemaleHumansMaleMiddle AgedPovertyProspective Studiesalcohol intakeBlack/African Americansgut microbiotalow-income populationprospective studiesshotgun metagenomics

Identifiers

PMID39537028
PMCPMC11747185

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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.