Evidence map›Paper›PMID 39677463›Full record

ArticlemedRxiv : the preprint server for health sciences2024

The mouth of America: the oral microbiome profile of the US population.

Anil K Chaturvedi, Emily Vogtmann, Jianxin Shi, Yukiko Yano, Martin J Blaser, Nicholas A Bokulich, J Gregory Caporaso, Maura L Gillison, Barry I Graubard, Xing Hua and 9 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Anil K ChaturvediDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Emily VogtmannDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.ORCID 0000-0003-1355-5593
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Yukiko YanoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Martin J BlaserCenter for Advanced Biotechnology and Medicine, Rutgers, Piscataway, NJ, USA.
Nicholas A BokulichDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-1784-8935
J Gregory CaporasoCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.ORCID 0000-0002-8865-1670
Maura L GillisonDepartment of Thoracic and Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX, USA.
Barry I GraubardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Xing HuaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Autumn G HullingsDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Lisa KahleInformation Management Services, Calverton, MD, USA.
Rob KnightCenter for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
Shilan LiBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Jody McLeanNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD. USA.
Vaishnavi PurandareDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Yunhu WanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.
Neal D FreedmanDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD., USA.
Christian C AbnetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD., USA.

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional)U24CA248454 · NCI · NORTHERN ARIZONA UNIVERSITY · PI CAPORASO, JAMES GREGORY · 2020 to 2024
$3.7M
NCI NIH HHS U24 CA248454NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

Importance: The oral microbiome is increasingly recognized to play key roles in human health and disease; yet, population-representative characterizations are lacking. Objective: Characterize the composition, diversity, and correlates of the oral microbiome among US adults. Design: Cross-sectional population-representative survey. Setting: The National Health and Nutrition Examination Survey (NHANES, 2009-2012), a stratified multistage probability sample of the US population. Participants: NHANES participants aged 18-69 years (n=8,237, representing 202,314,000 individuals). Exposures: Demographic, socioeconomic, behavioral, anthropometric, metabolic, and clinical characteristics. Main outcomes: Oral microbiome, characterized through 16S rRNA sequencing. Microbiome metrics were alpha diversity (number of observed Amplicon Sequence Variants [ASV], Faith's Phylogenetic diversity, Shannon-Weiner Index, and Simpson Index); beta diversity (unweighted UniFrac, weighted UniFrac, and Bray-Curtis dissimilarity); and prevalence and relative abundance at taxonomic levels (phylum through genus). Analyses accounted for the NHANES complex sample design. Results: Among US adults aged 18-69 years, the oral microbiome encompassed 37 bacterial phyla, 99 classes, 212 orders, 446 families, and 1,219 genera. Five phyla- Conclusions: We provide a contemporary reference standard for the oral microbiome of the US adult population. Our results indicate that a few genera were universally present in US adults and a different set of genera explained a high percentage of oral microbiome diversity across the population.

Identifiers

PMID39677463
PMCPMC11643230

What OpenQuestion holds

Textmetadata
LicenceCC0
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 OpenQuestion graph.