Back

Effects of Non-Surgical Periodontal Therapy on Dental Plaque Microbiome

Wang, Q.; Wang, B.-Y.; Wilus, D.; Hua, X.

2026-07-02 dentistry and oral medicine
10.64898/2026.06.30.26356898 medRxiv
Show abstract

Periodontitis, a chronic inflammatory disease affecting approximately 40% of U.S. adults aged 30 years and older, is characterized by dysbiosis of the dental plaque microbiome. However, although scaling and root planing (SRP) is the cornerstone of periodontal treatment, its effects on the taxonomic composition and functional potential of the dental plaque microbiome remain incompletely understood. In this study, we used whole-metagenome shotgun sequencing to characterize taxonomic composition and functional potential in dental plaque microbiomes collected from 39 patients with Stage II or III generalized periodontitis before and 3-4 months after SRP. Consistent with clinical improvement, periodontal therapy significantly reduced bleeding on probing and plaque index. Whole-metagenome shotgun sequencing identified 3.18 million non-redundant genes and 12,353 microbial species across 78 samples, revealing increased gene and species richness after treatment, along with a significant restructuring of microbial community. Established periodontal pathogens, including Porphyromonas gingivalis and Tannerella forsythia, as well as the emerging pathogen Escherichia coli, decreased following treatment, whereas health-associated early colonizers, including multiple Actinomyces species and Streptococcus cristatus, increased. Functional annotation using the Carbohydrate-Active Enzymes (CAZy) database identified treatment-associated differences in several carbohydrate-active enzymes, including multiple glycosyltransferases, indicating remodeling of the predicted functional potential of the dental plaque microbiome. These findings demonstrate that successful SRP promotes coordinated taxonomic and predicted functional remodeling of the dental plaque microbiome and highlight the value of shotgun metagenomic sequencing for characterizing both taxonomic and functional recovery following periodontal therapy.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 2%
12.8%
2
Genomics, Proteomics & Bioinformatics
172 papers in training set
Top 0.2%
7.9%
3
PLOS ONE
5266 papers in training set
Top 24%
6.8%
4
npj Biofilms and Microbiomes
58 papers in training set
Top 0.2%
6.3%
5
Journal of Medical Microbiology
25 papers in training set
Top 0.1%
5.5%
6
mSystems
394 papers in training set
Top 2%
5.2%
7
Microbiology Spectrum
469 papers in training set
Top 3%
4.4%
8
Frontiers in Medicine
120 papers in training set
Top 0.7%
4.1%
50% of probability mass above
9
Frontiers in Immunology
638 papers in training set
Top 3%
4.1%
10
eLife
5828 papers in training set
Top 35%
3.2%
11
BioMed Research International
28 papers in training set
Top 0.5%
2.8%
12
mSphere
302 papers in training set
Top 3%
2.4%
13
Frontiers in Microbiology
427 papers in training set
Top 5%
2.1%
14
Journal of Dental Research
13 papers in training set
Top 0.1%
2.1%
15
mBio
833 papers in training set
Top 7%
1.9%
16
BMC Genomics
406 papers in training set
Top 5%
1.7%
17
Nature Communications
5641 papers in training set
Top 47%
1.5%
18
Immunity, Inflammation and Disease
10 papers in training set
Top 0.2%
1.1%
19
Science Translational Medicine
127 papers in training set
Top 2%
1.1%
20
Genome Research
468 papers in training set
Top 5%
1.0%
21
PNAS Nexus
159 papers in training set
Top 3%
1.0%
22
Molecular Ecology
336 papers in training set
Top 3%
1.0%
23
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 38%
1.0%
24
Frontiers in Public Health
148 papers in training set
Top 5%
1.0%
25
Microbiome
154 papers in training set
Top 2%
0.9%
26
Communications Biology
993 papers in training set
Top 29%
0.9%
27
Biomolecules
100 papers in training set
Top 3%
0.8%
28
Children
10 papers in training set
Top 0.7%
0.6%
29
Genome Biology
637 papers in training set
Top 9%
0.6%