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Oral microbiome: possible harbinger for children’s health
Open accessAbstract
The human microbiome functions as an intricate and coordinated microbial network, residing throughout the mucosal surfaces of the skin, oral cavity, gastrointestinal tract, respiratory tract, and reproductive system. The oral microbiome encompasses a highly diverse microbiota, consisting of over 700 microorganisms, including bacteria, fungi, and viruses. As our understanding of the relationship between the oral microbiome and human health has evolved, we have identified a diverse array of oral and systemic diseases associated with this microbial community, including but not limited to caries, periodontal diseases, oral cancer, colorectal cancer, pancreatic cancer, and inflammatory bowel syndrome. The potential predictive relationship between the oral microbiota and these human diseases suggests that the oral cavity is an ideal site for disease diagnosis and development of rapid point-of-care tests. The oral cavity is easily accessible with a non-invasive collection of biological samples. We can envision a future where early life salivary diagnostic tools will be used to predict and prevent future disease via analyzing and shaping the infant’s oral microbiome. In this review, we present evidence for the establishment of the oral microbiome during early childhood, the capability of using childhood oral microbiome to predict future oral and systemic diseases, and the limitations of the current evidence.
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“The mucosal surfaces serve as the chief substrata available for microbial colonization in the infant oral cavity.141”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [141]
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“Additional early colonizers, such as Gemella, Rothia, Granulicatella, and Haemophilus, present at 3‐6 months of age and increase in abundance with time.141, 142”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [141]
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Pinninti, S. G., & Kimberlin, D. W. (2018) · Seminars in Perinatology · doi:10.1053/j.semperi.2018.02.004 · Cited by 165
The oral cavity in Crohn’s disease
Pittock, S. T., Drumm, B., Fleming, P., McDermott, M., Imrie, C., Flint, S. R., & Bourke, B. (2001) · The Journal of Pediatrics · doi:10.1067/mpd.2001.113008 · Cited by 158
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Bacterial Diversity in Two Neonatal Intensive Care Units (NICUs)
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Impact of prematurity and nutrition on the developing gut microbiome and preterm infant growth
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Self-citationThe advent of genome-wide association studies for bacteria
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Alterations in diversity of the oral microbiome in pediatric inflammatory bowel disease
Docktor, M., Paster, B. J., Abramowicz, S., Ingram, J., Wang, Y. E., Correll, M., Jiang, H., Cotton, S. L., Kokaras, A. S., & Bousvaros, A. (2011) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21874 · Cited by 149
Association between Oral Candida and Bacteriome in Children with Severe ECC
Xiao, J., Grier, A., Faustoferri, R. C., Alzoubi, S., Gill, A. L., Feng, C., Liu, Y., Quivey, R. G., Kopycka‐Kędzierawski, D. T., Koo, H., et al. (2018) · Journal of Dental Research · doi:10.1177/0022034518790941 · Cited by 148
Self-citationYost, S., Stashenko, P., Choi, Y., Kukuruzinska, M., Genco, C. A., Salama, A., Weinberg, E. O., Kramer, C. D., & Frias-Lopez, J. (2018) · International Journal of Oral Science · doi:10.1038/s41368-018-0037-7 · Cited by 144
Characterizing oral microbial communities across dentition states and colonization niches
Mason, M. R., Chambers, S., Dabdoub, S. M., Thikkurissy, S., & Kumar, P. S. (2018) · Microbiome · doi:10.1186/s40168-018-0443-2 · Cited by 142 · cited 10×
“Interestingly, these core species only accounted for 45% (23%–61%) of the total oral microbiota of each infant.(29) Out of the 178 identified species, only 33 were shared by ≥75% of infants.”
BackgroundInfluentialGut Microflora Associated Characteristics in Children with Celiac Disease
Tjellström, B., Stenhammar, L., Högberg, L., Fälth‐Magnusson, K., Magnusson, K., Midtvedt, T., Sundqvist, T., & Norin, E. L. (2005) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2005.00313.x · Cited by 137
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Corstjens, P. L. A. M., Abrams, W. R., & Malamud, D. (2015) · Periodontology 2000 · doi:10.1111/prd.12112 · Cited by 133 · cited 2×
“including herpesvirus HPV7 and Anelloviruses, as well as some RNA viruses, are also permanent constituents of human mouth.(72,73) Several viral agents can infect oral mucosal cells; however, only a few cause clinical manifestations.”
BackgroundXiao, J., Moon, Y., Li, L., Rustchenko, E. P., Wakabayashi, H., Zhao, X., Feng, C., Gill, S. R., McLaren, S. W., Malmström, H., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0164242 · Cited by 132
Self-citationEarly childhood caries and mutans streptococci: a systematic review.
Parisotto, T. M., Steiner‐Oliveira, C., Silva, C. M., Rodrigues, L. K. A., & Nobre‐dos‐Santos, M. (2010) · PubMed · Cited by 131
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The Microbiota of the Extremely Preterm Infant
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Microbial Risk Markers for Childhood Caries in Pediatricians’ Offices
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Potential NICU Environmental Influences on the Neonate's Microbiome
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Salivary Microbiota and Metabolome Associated with Celiac Disease
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Buccal administration of human colostrum: impact on the oral microbiota of premature infants
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Looking in the mouth for Crohnʼs disease
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Genetic influences on the human oral microbiome
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Infant fungal communities: current knowledge and research opportunities
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Antibiotic treatment at delivery shapes the initial oral microbiome in neonates
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“In this study where the infant oral swabs were sampled in the first three days after delivery, the study results showed that Proteobacteria were abundant in infants with maternal intrapartum antibiotics exposure while Streptococcaceae, Gemellaceae, and Lactobacillales were dominant in unexposed neonates.(97)”
BackgroundResultInfluentialEarly-life skin microbiota in hospitalized preterm and full-term infants
Younge, N. E., Araújo-Pérez, F., Brandon, D., & Seed, P. C. (2018) · Microbiome · doi:10.1186/s40168-018-0486-4 · Cited by 96
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Neonatal gut and respiratory microbiota: coordinated development through time and space
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Self-citationA screening method for gastric cancer by oral microbiome detection
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Identification of Caries Risk Factors in Toddlers
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Oral microbiome activity in children with autism spectrum disorder
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Dental Caries and Microbial Acid Production in Twins
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Surface Microbes in the Neonatal Intensive Care Unit: Changes with Routine Cleaning and over Time
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Host responses to the human microbiome
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Oral candidal flora in healthy infants
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Bacteria Interfere with A. actinomycetemcomitans Colonization
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Barrett's esophagus is associated with a distinct oral microbiome
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Human defects in STAT3 promote oral mucosal fungal and bacterial dysbiosis
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“albicans and minimal representation of health-associated fungi.(85) The STAT3 defect in participants with AD-HIES was also associated with distinctive bacterial communities, particularly with a reduced microbial diversity and an enrichment of Streptococcus oralis and S.”
BackgroundInfluentialOral Bacterial and Fungal Microbiome Impacts Colorectal Carcinogenesis
Klimesova, K., Jiraskova Zakostelska, Z., & Tlaskalova-Hogenova, H. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.00774 · Cited by 67
Child Weight Gain Trajectories Linked To Oral Microbiota Composition
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“The study results suggest for the first time that the association between the oral microbiota and the temporal pattern of weight gain in early childhood might be stronger and more consequential than previously thought, and thus requires further characterization.(40) However, the mechanism underlying these associations…”
BackgroundMethodResultInfluentialOral Microbiota Development in Early Childhood
Kennedy, B., Peura, S., Hammar, U., Vicenzi, S., Hedman, A. M., Almqvist, C., Andolf, E. G., Pershagen, G., Dicksved, J., Bertilsson, S., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-54702-0 · Cited by 66
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Dynamics of Microbial Colonization of the Oral Cavity in Newborns
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Immunopathogenesis of celiac disease
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The microbiome of the oral mucosa in irritable bowel syndrome
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Oral Health and the Oral Microbiome in Pancreatic Cancer
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The effect of maternal flora on C andida colonisation in the neonate
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Autism Spectrum Disorder - A Complex Genetic Disorder
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“The more prolonged hospital stay was associated with a lower abundance of Butyrivibrio sp, but a higher abundance of Haemophilus sp.(151) Haemophilus sp was also negatively correlated to the amount of IgE and IgM.”
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Oral viral infections of children
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A Longitudinal Study of Early Childhood Caries and Associated Factors in Brazilian Children
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“Piva et al.141 evaluated a cohort of 163 Brazilian children (3–4 years old) in a 2-year prospective period, and found higher S. mutans counts were associated with caries progression.”
BackgroundThe incidence of neonatal herpes infection
Mahnert, N. D., Roberts, S. W., Laibl, V. R., Sheffield, J. S., & Wendel, G. D. (2007) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2006.10.911 · Cited by 31
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Factors related to maternal transmission of mutans streptococci in high-risk children-pilot study.
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“For instance, in the first several months of an infant’s life, before tooth eruption, Escherichia coli, Pseudomonas, Staphylococcus, along with the lactic acid-producing bacteria such as Lactobacillus gasseri, Lactobacillus crispatus, and Streptococcus spp are highly prevalent.(61,63,64) Along with the tooth eruption…”
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Slayton, R. L. (2011) · Journal of Evidence Based Dental Practice · doi:10.1016/j.jebdp.2010.11.014 · Cited by 14
Genome Sequence of Two Novel Species of Torque Teno Minivirus from the Human Oral Cavity
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“including herpesvirus HPV7 and Anelloviruses, as well as some RNA viruses, are also permanent constituents of human mouth.(72,73) Several viral agents can infect oral mucosal cells; however, only a few cause clinical manifestations.”
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Corticosteroid therapy in Henoch-Schönlein gastritis
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“As the most common form of vasculitis in children, HenochSchönlein Purpura (HSP) causes inflammation and bleeding in the small blood vessels of the skin, joints, intestines, and kidney.(150) Over 75% of children diagnosed with HSP were younger than 10 years old, with a peak incidence at 4–6 years of age.”
Background
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Self-citation
Metadata
- Authors
- Xiao, J., Fiscella, K. A., & Gill, S. R.
- Affiliations
- University of Rochester Medicine (US)
- Corresponding author
- Xiao, Jin
- Gill, Steven R.
- Venue
- International Journal of Oral Science
- Published
- 2020-04-30
- Volume
- 12
- Issue
- 1
- Pages
- 12-12
- ISSN
- 1674-2818 (ISSN-L)
- 2049-3169
- PMC
- PMC7190716
- OpenAlex
- W3022810381
- Cited by
- 223
- References
- 172
- Citations by year
- 2026: 27 · 2025: 40 · 2024: 39 · 2023: 41 · 2022: 44 · 2021: 26 · 2020: 6
- FWCI
- 4.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal of Oral Science (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Dental and Craniofacial Research (K23 DE027412)
- Topics
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › General Dentistry › Dental Health and Care Utilization
- Keywords
- oral microbiota, early childhood, salivary diagnostics, disease prediction, oral diseases, systemic disease, dental caries, periodontal disease, oral cancer, colorectal cancer, pancreatic cancer, inflammatory bowel disease, point-of-care testing, infant oral microbiota
- MeSH terms
- Child Health, Child, Humans, Infant, Mouth, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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