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Research article

Organotypic model of the gingiva for studying bacterial and viral pathogens implicated in periodontitis

, , , , , & ORCID Icon show all
Article: 2292382 | Received 18 Jul 2023, Accepted 03 Dec 2023, Published online: 12 Dec 2023
 

ABSTRACT

Background

Three-dimensional (3D) tissue models bridge the gap between conventional two-dimensional cell cultures and animal models. The aim of this study was to develop an organotypic 3D gingival (OTG) model to provide a tool to investigate bacterial and viral pathogens in periodontitis.

Methods

The OTG model composed of gingival fibroblasts (GFs) and telomerase-immortalized gingival keratinocytes (TIGKs) was constructed and applied to study infections by Porphyromonas gingivalis and herpes simplex virus 1 (HSV-1). Immunohistochemical staining, confocal microscopy, qPCR, titration techniques, and colony-forming unit counts were applied to interrogate epithelial markers expression, monitor P. gingivalis and HSV-1 presence, and evaluate the immune response along with the efficiency of antimicrobial drugs.

Results

The OTG model resembled the morphology of the human gingiva. During infection, both pathogens penetrated deep into the tissue and persisted for a few days with P. gingivalis also forming a biofilm on the cell surface. The infection triggered the expression of inflammatory mediators in cells and both pathogens were efficiently eliminated by specific antimicrobials.

Conclusions

Presented OTG model constitutes a simple and convenient tool to study the interaction between bacterial and viral pathogens within the gingival tissue, including penetration, persistence and biofilm formation. It is also suitable to examine the efficiency of antimicrobial drugs.

Acknowledgments

This work was supported by National Science Center, Poland Sonata 15 2019/35/D/NZ6/02154 (to A. Golda) and OPUS15 UMO-2018/29/B/NZ6/01622 (to J. Koziel).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the Narodowe Centrum Nauki [2018/29/B/NZ6/01622]; Narodowe Centrum Nauki [2019/35/D/NZ6/02154].