Evidence map›Paper›PMID 38631877›Full record

ArticleAlcohol, clinical & experimental research2024

Adolescent alcohol use is associated with differences in the diversity and composition of the oral microbiome.

Brittney D Browning, Anna E Kirkland, Rejoyce Green, Helen Liu, Janiece S Glover, Taylor D Ticer, Mindy A Engevik, Alexander V Alekseyenko, Pamela L Ferguson, Rachel L Tomko and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Alcohol, clinical & experimental research, 2024. 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
0.7field-weighted citation impact, top 32% of its field
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, 3 citations in OpenAlex.

  1. Dysbiosis in the Gut-Liver Axis Is Associated With Low Bone Mass During Murine Cholestasis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Alcohol exposure alters the diversity and composition of oral microbiome.Frontiers in cellular and infection microbiology · 2025
    Article
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

11 authors at 1 institution in 1 country.

Brittney D BrowningDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0002-9868-0440
Anna E KirklandDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0001-5308-2423
Rejoyce GreenDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0003-1892-0289
Helen LiuDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Janiece S GloverDepartment of Regenerative Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Taylor D TicerDepartment of Regenerative Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Mindy A EngevikDepartment of Regenerative Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Alexander V AlekseyenkoDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Pamela L FergusonDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Rachel L TomkoDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.
Lindsay M SquegliaDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina, USA.ORCID https://orcid.org/0000-0001-5994-6894
Medical University of South Carolina · US

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
The role of SMAD1 and SATB2 in colon patterningP20GM130457 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI STEPHEN A DUNCAN · 2020 to 2026
$18.7M
The Impact of Stress and Craving on Return to Postpartum Cannabis UseU54DA016511 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CONSTANCE GUILLE · 2018 to 2026
$15.9M
Clinical Scientists Training Program in Addictions at MUSCK12DA031794 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Kevin M. Gray, AIMEE L MCRAE-CLARK · 2013 to 2026
$7.2M
Cellular, Biochemical and Molecular Sciences Training Program: Developing the skills and expertise needed for a changing biomedical landscapeT32GM132055 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Amy D Bradshaw, John P O'Bryan · 2019 to 2026
$3.9M
Digestive Disease Training ProgramT32DK124191 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI STEPHEN A DUNCAN, Antonis Kourtidis · 2021 to 2026
$1.0M
Neuroscience-informed Treatment Development for Adolescent Alcohol Use DisordersK23AA025399 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SQUEGLIA, LINDSAY · 2016 to 2020
$1.0M
Mentoring Clinical Investigators in Patient-Oriented Adolescent Alcohol ResearchK24AA031052 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Lindsay Squeglia · 2024 to 2026
$644k
Identifying the role of serotonin receptor 4 and trefoil factor 3 in intestinal wound repairK01DK123195 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ENGEVIK, MELINDA ANNE · 2020 to 2024
$612k
Utilizing multimodal neuroimaging to identify neurometabolic and neurobehavioral correlates of adolescent binge drinkingF32AA029930 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KIRKLAND, ANNA E · 2022 to 2023
$101k
Examining Associations between the Oral Microbiota, Neuroinflammation, and Binge Drinking in AdolescentsF31AA030920 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BROWNING, BRITTNEY · 2023 to 2023
$45k
NCATS NIH HHS UL1 TR001450NIAAA NIH HHS F31 AA030920NIAAA NIH HHS F31AA030920NIAAA NIH HHS F32 AA029930NIAAA NIH HHS F32AA029930NIAAA NIH HHS K01DK123195NIAAA NIH HHS K12DA031794NIAAA NIH HHS K23 AA025399NIAAA NIH HHS K23AA025399NIAAA NIH HHS K24 AA031052NIAAA NIH HHS K24AA031052NIAAA NIH HHS T32DK124191NIAAA NIH HHS T32GM132055NIDA NIH HHS K12 DA031794NIDA NIH HHS U54 DA016511NIDDK NIH HHS K01 DK123195NIDDK NIH HHS T32 DK124191NIGMS NIH HHS P20 GM130457NIGMS NIH HHS T32 GM132055NIH HHS U54DA016511NIH HHS UL1 TR001450
6 · The paper itself

Abstract

backgroundAdolescence is a sensitive stage of oral microbial development that often coincides with the initiation and escalation of alcohol use. Thus, adolescents may be particularly susceptible to alcohol-induced alterations in the oral microbiome, though minimal research has been done in this area. Understanding the connection between the oral microbiome and alcohol use during adolescence is important to understand fully the biological consequences of alcohol use to mitigate potential adverse outcomes.

methodsSaliva samples were collected from adolescents aged 17-19 who used alcohol heavily (n = 21, 52.4% female) and those who did not use alcohol or any other substances (n = 18, 44.4% female). We utilized 16S rRNA sequencing to examine differences in microbial diversity and composition between the groups.

resultsFor alpha diversity, evenness was significantly lower in the drinking group than the control group as indicated by Pielou's evenness, Shannon, and Simpson indices. There were no statistically significant findings for beta diversity. Differential abundance analyses revealed higher abundances of Rothia and Corynebacterium in the alcohol-using group using both centered-log-ratio and relative abundance normalization. These genera are known for their high capacity to convert alcohol into acetaldehyde, a toxic metabolite reported to play a role in the neurobiological effects of alcohol. An unclassified Clostridia UCG-014, Streptobacillus, Comamonas, unclassified Lachnospiraceae, and Parvimonas were also identified as significantly different between groups when using only one of the normalization techniques.

conclusionsThis is the first study designed specifically to compare the oral microbiome of adolescents who use alcohol with that of control participants. Our findings reveal distinct alcohol-related differences in microbial composition and taxon abundance, emphasizing the importance of understanding the impact on the oral microbiome of alcohol use during adolescence. Because the oral microbiome is malleable, this study provides foundational work for future prevention and intervention studies.

Indexed as

adolescentalcoholneurodevelopmentoral microbiomesubstance use

Identifiers

PMID38631877
PMCPMC11178446
OpenAlexW4394920444

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.