Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model

Peri-implant health depends on the complex interactions between the dental implant, surrounding soft/hard tissues and the oral microbial environment. However, existing 2D and monoculture models fail to replicate this complexity, limiting their clinical relevance. Therefore, this study aimed to develop a clinically relevant 3D in vitro model that integrates oral soft tissue, hard tissue and a titanium implant in a 3D setup to accurately replicate the peri-implant environment. In addition, the model was designed to integrate bacterial biofilms, in order to mimic incipient peri-implant infections. As a hard tissue component, osteoblast-covered HA/TCP scaffold structures were developed and merged with peri-implant mucosa, resulting in a 3D in vitro peri-implant bone-mucosa composite model. The composite model was then cultivated for 2, 7 and 14 days. At each time point, histological analysis, live/dead staining and collagen immunofluorescence staining were performed to assess its structural integrity, osteoblast viability and bone ECM characteristics. To demonstrate proof-of-concept for suitability in simulating implant infection, an oral multispecies biofilm was integrated on top of the implant in the peri-implant bone-mucosa model. Cell viability and osteoblastic phenotype were maintained throughout the study period. Microscopic and histological analyses confirmed a homogenous structure, with a stratified epithelium overlying collagen-embedded human gingival fibroblasts closely connected to the underlying scaffold structure interspersed with bone cells. Combined with a living multispecies biofilm, this model represents several essential components observed in peri-implant interaction. By combining oral soft tissue, hard tissue and a titanium implant in a 3D setup, this model represents the first and most complex model for evaluating innovative implant materials and novel treatment strategies as well as studying the development of peri-implant diseases. Incorporating different biofilms could enhance the model’s clinical relevance, enabling the study of pro-inflammatory responses to bacterial infections in a setting that includes both soft and hard tissue.

Authors

Institutions

Publication Details

Journal
BMC Oral Health
Published
2026-01-14
DOI
https://doi.org/10.1186/s12903-025-06930-2
Citations
1
Primary Topic
Dental Implant Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
82.98
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model

Behnaz Malekahmadi, Henning Menzel, A Kampmann, Carina Mikolai et al.
1 citations
BMC Oral Health
Dental Implant Techniques and Outcomes
82.98
article

Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model

Behnaz Malekahmadi, Henning Menzel, A Kampmann, Carina Mikolai, Muhammad Imran Rahim, Dagmar Wirth, M. Stiesch, Andreas Winkel, Katharina Doll-Nikutta, Nils-Claudius Gellrich, Marjan Kheirmand-Parizi
article en
1 citations

Abstract

Peri-implant health depends on the complex interactions between the dental implant, surrounding soft/hard tissues and the oral microbial environment. However, existing 2D and monoculture models fail to replicate this complexity, limiting their clinical relevance. Therefore, this study aimed to develop a clinically relevant 3D in vitro model that integrates oral soft tissue, hard tissue and a titanium implant in a 3D setup to accurately replicate the peri-implant environment. In addition, the model was designed to integrate bacterial biofilms, in order to mimic incipient peri-implant infections. As a hard tissue component, osteoblast-covered HA/TCP scaffold structures were developed and merged with peri-implant mucosa, resulting in a 3D in vitro peri-implant bone-mucosa composite model. The composite model was then cultivated for 2, 7 and 14 days. At each time point, histological analysis, live/dead staining and collagen immunofluorescence staining were performed to assess its structural integrity, osteoblast viability and bone ECM characteristics. To demonstrate proof-of-concept for suitability in simulating implant infection, an oral multispecies biofilm was integrated on top of the implant in the peri-implant bone-mucosa model. Cell viability and osteoblastic phenotype were maintained throughout the study period. Microscopic and histological analyses confirmed a homogenous structure, with a stratified epithelium overlying collagen-embedded human gingival fibroblasts closely connected to the underlying scaffold structure interspersed with bone cells. Combined with a living multispecies biofilm, this model represents several essential components observed in peri-implant interaction. By combining oral soft tissue, hard tissue and a titanium implant in a 3D setup, this model represents the first and most complex model for evaluating innovative implant materials and novel treatment strategies as well as studying the development of peri-implant diseases. Incorporating different biofilms could enhance the model’s clinical relevance, enabling the study of pro-inflammatory responses to bacterial infections in a setting that includes both soft and hard tissue.

BMC Oral HealthVol. 26(1)
Medizinische Hochschule Hannover (DE), Fraunhofer Institute for Toxicology and Experimental Medicine (DE), Helmholtz Centre for Infection Research (DE), Hannover Re (Germany) (DE), Technische Universität Braunschweig (DE)
Openalex Percentile: Top 1%
Dental Implant Techniques and Outcomes
82.98
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.