Excel · study · 2026
Synergy between the periodontal pathogens Tannerella forsythia and Porphyromonas gingivalis enhances host inflammatory signaling to polymicrobial biofilms and induces transcriptomic remodeling in T. forsythia II
Listed in NCBI GEO
Periodontitis is a devastating polymicrobial biofilm disease for which no targeted therapies currently exist.
Description
Although P. gingivalis is considered the keystone pathogen of periodontitis, how its synergistic interaction with the red-complex pathogen Tannerella forsythia shapes biofilm community dynamics, host inflammatory responses, and bacterial gene expression remains largely unexplored. Using a five-species commensal biofilm model, we show that co-introduction of P. gingivalis triggers a greater than 10-fold increase of T. forsythia cell numbers, fundamentally restructuring the microbial community composition.
Combined biofilm challenge induced upregulation of 47 genes in human periodontal ligament mesenchymal stromal cells, predominantly within the TNF and NF-κB signaling pathways, far exceeding inflammatory responses elicited by either pathogen alone. Strikingly, T. forsythia underwent sweeping transcriptomic remodeling in dual-species biofilms—upregulating nutrient acquisition systems, virulence factors, and lanthipeptide biosynthetic gene clusters—whereas P. gingivalis exhibited only minor transcriptomic changes.
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This asymmetric transcriptional response identifies T. forsythia as the primary responder to polymicrobial interaction and suggests that inter-species signaling drives a transition towards a more virulent T. forsythia phenotype. Collectively, these findings provide mechanistic support for the polymicrobial dysbiosis model of periodontitis pathogenesis and open new avenues for precision therapeutic intervention targeting inter-species synergy.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE327nnn/GSE327566 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE327566 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1451230 ncbi.nlm.nih.gov/bioproject/PRJNA1451230 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE327566 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |