{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T07:15:02Z","timestamp":1792826102162,"version":"4.5.0"},"reference-count":38,"publisher":"American Medical Association (AMA)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi250301-4\"><jats:title>Importance<\/jats:title><jats:p>The oral microbiome likely plays key roles in human health. Yet, population-representative characterizations are lacking.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250301-5\"><jats:title>Objective<\/jats:title><jats:p>To characterize the composition, diversity, and correlates of the oral microbiome in US adults.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250301-6\"><jats:title>Design, Setting, and Participants<\/jats:title><jats:p>This cross-sectional study analyzed data from the population-representative National Health and Nutrition Examination Survey (NHANES) from 2009 to 2012. Microbiome data were made publicly available in 2024. NHANES participants were aged 18 to 69 years and provided oral rinse samples in 1 of 2 consecutive NHANES cycles (2009-2010 and 2011-2012).<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250301-7\"><jats:title>Exposures<\/jats:title><jats:p>Demographic, socioeconomic, behavioral, anthropometric, metabolic, and clinical characteristics.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250301-8\"><jats:title>Main Outcomes and Measures<\/jats:title><jats:p>Oral microbiome measures, characterized through 16S ribosomal RNA gene sequencing, included \u03b1 diversity (observed amplicon sequence variants [ASVs], Faith phylogenetic diversity, Shannon-Weiner Index, and Simpson Index); \u03b2 diversity (unweighted UniFrac, weighted UniFrac, and Bray-Curtis dissimilarity); and prevalence and relative abundance at phylum level through genus level. Analyses accounted for the NHANES complex sample design.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250301-9\"><jats:title>Results<\/jats:title><jats:p>This study included 8237 US adults aged 18 to 69 years, representing 202\u202f314\u202f000 individuals (102 813 000 men [50.8%]; mean [SD] age, 42.3 [14.4] years; 9.3% self-reported as Mexican American, 12.1% as non-Hispanic Black, 64.7% as non-Hispanic White, 5.9% as other Hispanic, and 8.1% as other non-Hispanic individuals). The oral microbiome encompassed 37 bacterial phyla, 99 classes, 212 orders, 446 families, and 1219 genera. Five phyla (<jats:italic>Firmicutes, Actinobacteria, Bacteroidetes, Proteobacteria,<\/jats:italic> and <jats:italic>Fusobacteria<\/jats:italic>) and 6 genera (<jats:italic>Veillonella, Streptococcus, Prevotella 7, Rothia, Actinomyces,<\/jats:italic> and <jats:italic>Gemella<\/jats:italic>) were present in nearly all US adults (weighted prevalence, &amp;amp;gt;99%). These genera were the most abundant, accounting for 65.7% of total abundance. Observed ASVs showed a quadratic pattern with age (peak at 30 years), were similar by sex, significantly lower among non-Hispanic White individuals, and increased with greater body mass index (BMI), alcohol use, and periodontal disease severity. All covariates together accounted for a modest proportion of oral microbiome variability as measured by \u03b2 diversity: <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20098.7% (95% CI, 8.4%-9.1%) for unweighted UniFrac, <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20097.2% (95% CI, 6.6%-7.7%) for weighted UniFrac, and <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20096.3% (95% CI, 3.1%-6.7%) for Bray-Curtis matrices. By contrast, relative abundance of a few genera explained a high percentage of variability in \u03b2 diversity for weighted UniFrac: <jats:italic>Aggregatibacter<\/jats:italic> (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u200922.4%; 95% CI, 22.1%-22.8%), <jats:italic>Lactococcus<\/jats:italic> (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u200921.6%; 95% CI, 20.9%-22.3%), and <jats:italic>Haemophilus<\/jats:italic> (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u200918.4%; 95% CI, 18.1%-18.8%). Prevalence and relative abundance of numerous genera were associated with age, race and ethnicity, smoking, BMI categories, alcohol use, and periodontal disease severity.<\/jats:p><\/jats:sec><jats:sec id=\"ab-zoi250301-10\"><jats:title>Conclusions and Relevance<\/jats:title><jats:p>This cross-sectional study of the oral microbiome in US adults showed that a few genera were universally present and a different set of genera explained a high percentage of oral microbiome diversity across the population. This comprehensive characterization provides a contemporary reference standard for future studies.<\/jats:p><\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2025.8283","type":"journal-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T15:00:38Z","timestamp":1746457238000},"page":"e258283","source":"Crossref","is-referenced-by-count":47,"title":["Oral Microbiome Profile of the US Population"],"prefix":"10.1001","volume":"8","author":[{"given":"Anil K.","family":"Chaturvedi","sequence":"first","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily","family":"Vogtmann","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianxin","family":"Shi","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukiko","family":"Yano","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martin J.","family":"Blaser","sequence":"additional","affiliation":[{"name":"Center for Advanced Biotechnology and Medicine, Rutgers University, Piscataway, New Jersey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas A.","family":"Bokulich","sequence":"additional","affiliation":[{"name":"Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J. 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