Evidence map›Paper›PMID 42135323›Full record

ArticleScientific reports2026

A cross-sectional study of supragingival microbiome depending on age in Korean population.

Jung Hwa Park, Si Yeong Kim, Hoi-Soon Lim, Hyun-Joo Kim, Ju Youn Lee, Jin Chung, Hee Sam Na

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Jung Hwa ParkDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, 50612, Korea.
Si Yeong KimDepartment of Oral Microbiology, School of Dentistry, Chonnam National University, Gwangju, 61186, Korea.
Hoi-Soon LimDepartment of Dental Education, School of Dentistry, Chonnam National University, Gwangju, Korea.
Hyun-Joo KimDepartment of Periodontology, Dental and Life Science Institute, School of Dentistry, Pusan National University, Yangsan, Korea.
Ju Youn LeeDepartment of Periodontology, Dental and Life Science Institute, School of Dentistry, Pusan National University, Yangsan, Korea.
Jin ChungDepartment of Oral Microbiology, School of Dentistry, Chonnam National University, Gwangju, 61186, Korea. jchung@jnu.ac.kr.
Hee Sam NaDepartment of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, 50612, Korea. heesamy@pusan.ac.kr.

Funding

National Research Foundation of Korea NRF-RS-2024-00349457
6 · The paper itself

Abstract

Age is a key factor influencing the composition of the oral microbiome, but its age-related dynamics remain unclear as most studies focus on specific age groups or disease-related changes. The objective of this study was to characterize age-related differences in the supragingival microbiome. Supragingival plaque samples were collected from 533 participants across four age groups including Child (3 ~ 5 year), Young adult (18 ~ 34 year), Mid-age (35 ~ 65 year) and Elder (over 65 year) groups. Microbial DNA was extracted and analyzed using 16S rRNA gene sequencing. Alpha and beta diversity were assessed. Taxonomic classification was performed using a Naïve Bayes classifier trained on the eHOMD database. Differential abundance analysis was conducted using LEfSe, and microbial network interactions were examined using SparCC. Alpha diversity differed among age groups, and beta diversity also showed significant differences among groups, except between the Mid-age and Elder groups. The relative abundance of Firmicutes and Proteobacteria was lower in the Mid-age and Elder groups, whereas Bacteroidetes and Fusobacteria were more abundant. Early colonizers such as Streptococcus, Veillonella, and Haemophilus were less abundant in these groups, while periodontopathogens including Porphyromonas, Fusobacterium, and Treponema were more abundant. Core microbiome analysis revealed Streptococcus dominance in the Child group, the presence of Rothia and Actinomyces in the Young adult group, and more pathogen-enriched microbiome in the Mid-age and Elder groups. Microbial network complexity also differed across age groups, with denser and more pathogen-centered networks observed in the older groups. Distinct age-related differences in the oral microbiome were observed in this cross-sectional study, with microbial diversity, taxonomic composition, and microbial interaction patterns. These findings suggest that understanding age-related microbial variation may be important for long-term oral health.

Indexed as

BacteriaGingivaMicrobiotaAdolescentAdultAgedAge FactorsAgingChildChild, PreschoolCross-Sectional StudiesDental PlaqueFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SAgingMicrobial diversityOral microbiomePeriodontopathogensSupragingival plaque

Identifiers

PMID42135323
PMCPMC13369666

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