Macrophage-mediated control of implant-associated biofilms in a three-dimensional human oral mucosa model

Macrophages are pivotal in regulating inflammation and facilitating pathogen clearance, particularly in peri-implant environments prone to biofilm infections. For a better understanding of the role of these immune cells in host-biofilm-implant interactions, we developed a complex three-dimensional (3D) implant-tissue-oral-bacterial-biofilm model (INTER b ACT) with integrated macrophages to mimic the intricate triangular interactions between implant materials, biofilms, and the host, in conditions simulating the in vivo environment. The INTER b ACT model includes a peri-implant mucosa with collagen-embedded fibroblasts and macrophages, overlaid with a multi-layered oral epithelium, as well as a multi-species biofilm. Histological analysis demonstrated a preserved peri-implant architecture with high cell viability. Co-cultivation with multi-species biofilms provided valuable insights into macrophage roles in pathogen defence and inflammation regulation. In tissues lacking macrophages, biofilm exposure led to compromised epithelial integrity, whereas macrophage-containing tissues maintained their epithelial structure. Macrophages significantly reduced the biofilm biomass while promoting bacterial death. Inflammatory cytokine levels elevated under sterile conditions decreased upon biofilm exposure, suggesting a biofilm-mediated immune suppression. Cytokine expression levels differentially reacted to biofilm exposure and macrophage concentration, with IL-1β and IL-17 levels notably elevated in biofilm-exposed tissues, aligning with clinical observations of peri-implant inflammation. Our findings demonstrate that the INTER b ACT model, after incorporation of macrophages, serves as a physiologically relevant platform for studying host-pathogen dynamics and allows to identify key inflammatory markers associated with biofilm-related complications. Furthermore, this model holds significant potential for evaluating novel therapeutic strategies, such as sensor-actuator systems to detect and combat pathogenic biofilms, improving clinical outcomes in peri-implantitis management.

Authors

Institutions

Publication Details

Journal
Materialia
Published
2025-05-26
DOI
https://doi.org/10.1016/j.mtla.2025.102452
Citations
1
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
1.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Macrophage-mediated control of implant-associated biofilms in a three-dimensional human oral mucosa model

Meike Stiesch, Nico Lachmann, Katharina Doll‐Nikutta, Henning Menzel et al.
1 citations
Materialia
Oral microbiology and periodontitis research
1.47
article

Macrophage-mediated control of implant-associated biofilms in a three-dimensional human oral mucosa model

Meike Stiesch, Nico Lachmann, Katharina Doll‐Nikutta, Henning Menzel, Daniela Paasch, Carina Mikolai, Muhammad Imran Rahim, Dagmar Wirth, Andreas Winkel, H. Häuser, Shuli Chen
article en
1 citations

Abstract

Macrophages are pivotal in regulating inflammation and facilitating pathogen clearance, particularly in peri-implant environments prone to biofilm infections. For a better understanding of the role of these immune cells in host-biofilm-implant interactions, we developed a complex three-dimensional (3D) implant-tissue-oral-bacterial-biofilm model (INTER b ACT) with integrated macrophages to mimic the intricate triangular interactions between implant materials, biofilms, and the host, in conditions simulating the in vivo environment. The INTER b ACT model includes a peri-implant mucosa with collagen-embedded fibroblasts and macrophages, overlaid with a multi-layered oral epithelium, as well as a multi-species biofilm. Histological analysis demonstrated a preserved peri-implant architecture with high cell viability. Co-cultivation with multi-species biofilms provided valuable insights into macrophage roles in pathogen defence and inflammation regulation. In tissues lacking macrophages, biofilm exposure led to compromised epithelial integrity, whereas macrophage-containing tissues maintained their epithelial structure. Macrophages significantly reduced the biofilm biomass while promoting bacterial death. Inflammatory cytokine levels elevated under sterile conditions decreased upon biofilm exposure, suggesting a biofilm-mediated immune suppression. Cytokine expression levels differentially reacted to biofilm exposure and macrophage concentration, with IL-1β and IL-17 levels notably elevated in biofilm-exposed tissues, aligning with clinical observations of peri-implant inflammation. Our findings demonstrate that the INTER b ACT model, after incorporation of macrophages, serves as a physiologically relevant platform for studying host-pathogen dynamics and allows to identify key inflammatory markers associated with biofilm-related complications. Furthermore, this model holds significant potential for evaluating novel therapeutic strategies, such as sensor-actuator systems to detect and combat pathogenic biofilms, improving clinical outcomes in peri-implantitis management.

MaterialiaVol. 41
Medizinische Hochschule Hannover (DE), Fraunhofer Institute for Toxicology and Experimental Medicine (DE), Helmholtz Centre for Infection Research (DE), German Center for Lung Research (DE), Instituto de Biologia Experimental e Tecnológica (PT), Technische Universität Braunschweig (DE)
Deutsche Forschungsgemeinschaft, Horizon 2020 Framework Programme, European Research Council
Zero hunger
Openalex Percentile: Top 19%
Oral microbiology and periodontitis research
1.47
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.