Evidence map›Paper›PMID 39677439›Full record

ArticlemedRxiv : the preprint server for health sciences2024

The oral microbiome and all-cause mortality in the US population.

Emily Vogtmann, Yukiko Yano, Jianxin Shi, Yunhu Wan, Vaishnavi Purandare, Jody McLean, Shilan Li, Rob Knight, Lisa Kahle, Autumn G Hullings 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Emily VogtmannDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-1355-5593
Yukiko YanoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Yunhu WanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Vaishnavi PurandareDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Jody McLeanNational Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Shilan LiJohns Hopkins University, Baltimore, MD, USA.
Rob KnightCenter for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
Lisa KahleInformation Management Services, Inc, Calverton, MD, USA.
Autumn G HullingsDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Xing HuaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Barry I GraubardDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Maura L GillisonDepartment of Thoracic and Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX, USA.
J Gregory CaporasoCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Nicholas A BokulichLaboratory of Food Systems Biotechnology, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Martin J BlaserCenter for Advanced Biotechnology and Medicine, Rutgers, Piscataway, NJ, USA.
Neal D FreedmanDivision of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Anil K ChaturvediDivision of Cancer Epidemiology and Genetics, 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 BRIAN T BUCKLEY · 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
PREVALENCE AND DETERMINANTS OF ORAL HPV INFECTION IN THE US POPULATIONR01DE023175 · NIDCR · OHIO STATE UNIVERSITY · PI SYMER, DAVID ERIC · 2012 to 2015
$3.4M
NCI NIH HHS U24 CA248454NIDCR NIH HHS R01 DE023175NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

Importance: Poor oral health, including periodontal disease, is associated with oral microbiome changes and increased mortality risk. However, no large studies have evaluated whether the oral microbiome is directly associated with mortality. Objective: To evaluate whether measures of the oral microbiome is prospectively associated with all-cause mortality. Design: A cross-sectional survey with samples collected from 2009-2012 and mortality linkage to the restricted-use National Death Index (NDI) through 2019. Setting: The National Health and Nutrition Examination Survey (NHANES) 2009-2012, a multistage probability sample of the US population. Participants: NHANES participants 20- to 69-years-old who were eligible for linkage to the NDI and provided oral rinse specimens (N=7,721, representing approximately 194 million individuals). Exposure: Oral microbiome ascertained by sequencing the V4 region of the 16S rRNA gene of extracted DNA from oral rinse specimens. Alpha diversity, beta diversity, and genus-level data were generated using DADA2 and QIIME. Main outcome and measure: All-cause mortality. Results: After an average of 8.8 years, a total of 426 participants died. Using Cox proportional hazards regression and after controlling for multiple comparisons where appropriate, continuous alpha diversity was inversely associated with all-cause mortality, but only the association for the Shannon-Weiner index was significant with full adjustment for major risk factors (hazard ratio [HR] per standard deviation [SD]=0.85; 95% confidence interval [CI]=0.74-0.98). The principal coordinate analysis (PCoA) vector 2 from the Bray-Curtis dissimilarity matrix (HR per SD=0.83; 95% CI=0.73-0.93) and PCoA1 from weighted UniFrac (HR per SD=0.86; 95% CI=0.75-0.98) were significantly associated with all-cause mortality after full adjustment. Few associations were observed at the genus-level after Bonferroni correction, but an increase in 1 SD of the relative abundance of Conclusions and relevance: Some measures of the oral microbiome were associated with all-cause mortality in this representative population cohort. These results suggest that oral bacterial communities may be important contributors to health and disease.

Identifiers

PMID39677439
PMCPMC11643182

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