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

preprint OA: closed
Full text JSON View at publisher

Abstract

Abstract Background: 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 peri-implant infections. Methods: 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. Results: 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 multi-species biofilm, this model represents all essential components observed in a peri-implant infection. Conclusions: 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 progression 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.
Full text 172,142 characters · extracted from preprint-html · click to expand
Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model Behnaz Malekahmadi, Marjan Kheirmand-Parizi, Carina Mikolai, Andreas Winkel, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6565129/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 14 Jan, 2026 Read the published version in BMC Oral Health → Version 1 posted 9 You are reading this latest preprint version Abstract Background: 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 peri-implant infections. Methods: 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. Results: 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 multi-species biofilm, this model represents all essential components observed in a peri-implant infection. Conclusions: 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 progression 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. Bone model oral mucosa hard tissue soft tissue 3D in vitro model organotypic model peri-implantitis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Background Dental implants are widely used to replace missing teeth, offering a durable solution that restores both function and aesthetics of the natural tooth ( 1 ). The success and longevity of dental implants depend on several factors, including complete osseointegration, the formation of a protective soft tissue seal and the absence of infection ( 2 – 5 ). Infections trigger inflammation, which leads to tissue destruction of soft tissue as observed for peri-implant mucositis and additional bone loss in case of peri-implantitis, which in turn facilitates the further penetration of bacteria into the tissue ( 1 , 6 ). Therefore, ensuring a sufficient soft tissue seal around implants represents an essential part in protecting the underlying tissues and preventing bacterial infections ( 3 ). Considering the complex interactions among soft tissue, hard tissue, implant material and bacteria is crucial not only for studying peri-implant disease development but also when evaluating innovative implant modifications and novel therapeutic strategies ( 7 , 8 ). The evaluation of such strategies for implant dentistry in order to reduce implant-related complications has traditionally relied on either two-dimensional (2D) in vitro models or animal models ( 9 – 11 ). Although 2D models are reproducible, cost-effective, and suitable for assessing individual parameters, they fail to reflect the complexity of clinical situations, often leading to cellular responses that deviate from observations in vivo ( 12 – 14 ). Cells grown in 3D, like in natural tissues or cells cultivated in monolayers, like on cell culture plastic, exhibit differences that are well described. For instance, osteoblasts can undergo changes in their gene expression and cytoskeleton structure as a result of different physical environments ( 14 , 15 ). Additionally, monoculture models often overlook the complex interactions between various cell types, limiting their relevance to complex clinical settings ( 9 , 16 ). Preclinical animal models are well established to address these limitations, but they raise ethical concerns, demand considerable time and resources and present interspecies differences in molecular and physiological conditions that may mislead interpretation of the results ( 17 ). Recent advances and mandatory considerations of 3R principles (replacement, reduction and refinement) have promoted the development of alternative physiologically relevant 3D in vitro models to better understand the complex interactions between different cell types with modified implant surfaces and to translate new findings into in vivo applications more effectively ( 10 , 18 ). These 3D in vitro models can more accurately replicate the native tissue's structural and functional features by improving cell-to-cell and cell-to-matrix interactions, enhanced nutrient and oxygen diffusion, mimicking tissue architecture and supporting a more accurate physiological environment compared to traditional 2D cultures ( 17 , 19 ). Recently, 3D in vitro models have been created to mimic physiological processes involved in dental implant treatment ( 20 – 22 ). These 3D models were developed to investigate either soft tissue-implant interaction or hard tissue-implant interactions ( 21 ). Some studies have also incorporated bacteria to assess the interactions between the implant, soft tissue, and bacterial infection ( 20 , 22 – 24 ). However, so far no study has combined all these factors—soft tissue, hard tissue and implant— nor has any incorporated all of these together with bacteria to closely resemble the clinical situation. Moreover, an accurate evaluation especially of processes connected to peri-implantitis should require the inclusion of bone tissue in implant models. Therefore, the aim of this study was to develop a 3D in vitro peri-implant bone-mucosa model serving as platform for future investigations to assess the interactions of modified implant surfaces/biomaterials within both soft and hard tissue. Furthermore, by co-culturing the model with bacterial biofilms, the development and treatment of peri-implant diseases in a clinically relevant setting can be studied. For this purpose, in a first step a 3D in vitro bone-implant model was established and quantitatively and qualitatively analyzed to assess bone-like tissue formation. This scaffold-based hard tissue was then merged with our previously developed oral mucosa model ( 25 ), creating a comprehensive 3D peri-implant bone-mucosa system. Microscopic and histological evaluations were performed to assess its ability to replicate native tissue structures in terms of phenotypic characteristics, histology and expression of osteoblastic phenotype. By combining both bone and mucosal tissues, this model is the first to successfully integrate both environments surrounding a dental implant. Furthermore, this model was exemplarily used to integrate an oral multispecies biofilm (MSBF), creating a complex 3D co-culture system including soft and hard tissue as well as biofilm and implant, which can be used in future studies of infections in a setting similar to the clinical situation. Methods Cell culture, media and reagents Normal Human Osteoblasts (NHOst, CC-2538, Lonza) were cultured in Alpha Minimum Essential Medium (αMEM, P04-21250, Lonza) supplemented with 12% fetal bovine serum (FBS, P30-3306, PAN-Biotech GmbH) and 1% penicillin/streptomycin (P/S, P0781, Sigma-Aldrich). Human gingival fibroblasts (HGFs, 1210412, Provitro GmbH) were cultured in Dulbecco's modified Eagle's medium (DMEM, P04-04500, PAN-Biotech GmbH) with 10% FBS and 1% P/S. Keratinocyte Serum-Free medium (KerSFM, 10725-018, Gibco Life Technologies) supplemented with 0.2 ng/ml human recombinant epithelial growth factor (EGF, 10450-013, Gibco Life Technologies), 25 µg/ml bovine pituitary extract (BPE, 13028-014, Gibco Life Technologies), 0.3 mM calcium chloride (CaCl2, C-34006, PromoCell) and 1% P/S was used to cultivate immortalized human oral keratinocytes (OKF6/TERT-2) ( 26 ). All three cell types were grown under a humidified environment at 37°C with 5% CO 2 . Once the cells reached 70–80% confluence, NHOst cells were detached using Accutase® solution (A6964, Sigma-Aldrich), while HGF and OKF6 cells were detached with trypsin/EDTA (P10-020100, PAN Biotech). In all experiments, NHOst cells were used at passages 6–8, HGF cells at passage 8–10 and the OKF6 cell line at passages 25–35. Scaffold selection Three different types of scaffolds with the following features (Table 1 ) were purchased commercially and used initially without any modifications. Scaffolds were examined and compared for cell seeding efficiency (CSE), cell viability and cell growth. In 24-well-plates different numbers of NHOst (PS: 2.12 ×10 5 cells, PCL: 3.92 ×10 5 cells, HA/TCP: 1 ×10 6 cells) were statically seeded on the top of the scaffolds by dropping (five separate drops). Cell seeding densities on PCL and PS scaffolds were selected according to the manufacturer's protocol, based on the 3D growth surface area. The CSE was calculated after 24 hours of incubation according to the formula: CSE (%) = 1- ((cells left in the well + non adherent cells) / cells seeded on scaffold) × 100. Live/dead staining of cells on scaffolds was performed one day after seeding. Osteoinductive medium containing αMEM medium supplemented with 12% FCS, 1% P/S, 0.1 mM Ascorbate (Sigma-Aldrich, Merck KGaA), 5 mM β-Glycerophosphat (Sigma-Aldrich), 10 nM Dexamethason (Sigma-Aldrich) was added at day 3 and was refreshed every 2–3 days in the following 14 days of cultivation to evaluate mineralization capacity of NHOst on PS and PCL scaffolds. Detailed explanations of analytical methods are provided in the following sections. Table 1 General characteristics of scaffolds Type of scaffold Material Size Company 3D Biotek 3D Insert™ PS scaffold Polystyrene 24-well compatible, Thickness 0.6mm PS152024-12, 3D-Biotek, LLC.-, New Jersey, USA 3D Biotek PCL scaffold inserts Polycaprolactone 24-well compatible, Thickness 1.6mm, PCL303024-BR, 3D-Biotek, LLC.-, New Jersey, USA ReproBone discs 60% Hydroxyapatite, 40% β-Tricalcium phosphate 10 mm diameter, 5/2 mm height 10RB10D2, Ceramisys, Ltd., Sheffield, UK Scaffold preparation Based on the findings in the initial experiments, ReproBone discs (synthetic resorbable bone graft substitute, HA/TCP) were selected for the further development of a 3D bone-implant model. The size of scaffolds was customly adjusted by the company to 10 mm in diameter and 2 mm in height. In order to increase nutrient supply within scaffolds as well as preparing the implant insertion site, a perpendicular hole in the center of each scaffold was drilled using a 2.5 mm round end taper dental bar (ZR6856.314, Komet Dental. Gebr. Brasseler GmbH) with 200,000 rpm/min speed. To increase the precision of this preparation, a drill guide was produced in-house. Additionally, 5–6 small perforations were created in the remaining scaffold ring with insulin syringes 0.5 ml (0.30 mm × 8 mm, BD Micro-Fine, Becton, Dickinson and company) to further improve medium circulation and cell distribution. Loose fragments were removed by washing scaffolds twice with cell culture medium. Each side of scaffolds was sterilized using UV light (Uv-C disinfection box, Philips, 135W) for 15 minutes. Assembly of a 3D in vitro bone-implant model Scaffolds were soaked in αMEM medium for 24 hours prior to seeding. Afterwards, scaffolds were placed into 12 well plates with the bottom covered by a layer of parafilm. A density of 0.8–1.5 × 10 6 cells/scaffold in 30 µl αMEM medium was seeded on each scaffold (15 µl each top and bottom). The cells were allowed to adhere at 37°C in 5% CO 2 while avoiding plates’ agitation. After two hours, the scaffolds were transferred into a 6 well plate, submerged with 4 ml αMEM medium and cultured overnight under static conditions. After 24 hours, scaffolds were transferred into cell culture inserts (0.45 µm Millicell, 30mm diameter, Merck Milipore Ltd), which were primarily perforated. The inserts were placed in 6-well plates and filled with medium in- and outside to cover the scaffolds. After two days, the medium was changed to osteoinductive medium, changing it every 2–3 days. After 14 days, scaffolds were placed into a 6 well plate and a sterile titanium cylinder (machined surface, grade 4, 3 mm diameter, 2.3 mm height) was gently inserted. These constructs were further incubated for 48 hours under static culture conditions in 4 ml of osteogenic medium. Assembly of a 3D in vitro peri-implant bone-mucosa composite model The assembly of the peri-implant mucosa model followed the previously established protocol ( 25 ). Briefly, HGFs (4 x 10⁵ cells/model) (121 0412, Provitro GmbH) were embedded in a collagen type-I hydrogel mix (2 mg/mL bovine collagen type-I (PureCol®, 5005-100ML, Advance Biomatrix) supplemented with FBS, L-glutamine (G7513, Sigma-Aldrich), 10 x DMEM (P03-01510, Pan-Biotech) and reconstitution buffer (2 mg/mL sodium bicarbonate, 2 mM HEPES and 0.0062 N NaOH)). After 4 days of cultivation, a titanium cylinder (machined surface, grade 4, 3 mm in diameter, 4.3 mm in height) pre-colonized in upper section with HGFs was integrated into the HGF-hydrogel. For this purpose, the HGF-hydrogel and the membrane of the culture insert below were punched using a 2.5 mm diameter biopsy punch. The titanium cylinder was inserted in the HGF-hydrogel and through the membrane of the culture insert, with approximately 2 mm of its height (non-pre-colonized part) extending below the insert. The remaining procedure followed the previously described protocol, with OKF6 cells seeded on top of the gel. The tissues were subsequently placed at an air-liquid interface and cultivated with airlift medium (3:1 DMEM (P04-03591, Pan-Biotech) and Ham's F-12 (P04-14559, Pan-Biotech), supplemented with 5 µg/mL insulin, 0.4 µg/mL hydrocortisone, 2 × 10 − 11 M 5-triiodo-L-thyronine, 8 x 10 − 5 M adenine, 5 µg/mL transferrin, 10 − 10 M cholera toxin, 2 mM L-glutamine, 10% FBS, 1% P/S) for an additional two weeks to stimulate the epithelial differentiation and stratification. In parallel, the 3D bone model was constructed and cultivated for 23 days as described in assembly of bone model section, except without implant insertion. On day 24, after completing the development of both models (3D peri-implant mucosa model, 3D bone model) separately, they were merged to create the 3D peri-implant bone-mucosa composite model. For this purpose, the soft tissues were carefully loosened from the inserts using a pipette tip to preserve their integrity and structure. Next, the culture insert's porous membrane was precisely cut using a scalpel (Scalpel 21, Feather). Simultaneously, as the membrane was removed, the mucosa surrounding the implant was gently positioned onto the matured bone model, ensuring that the titanium lined up with the central hole of the scaffold creating a 3D peri-implant bone-mucosa model. After merging, the models were individually placed in 6-well plates with 1 ml of airlift medium in each well. These models were then maintained under static cultivation for 2, 7 and 14 days, with the medium refreshed every 2 to 3 days. Assembly of a 3D in vitro peri-implant bone-mucosa-biofilm composite model An oral multispecies biofilm (MSBF) consisting of Streptococcus oralis (ATCC® 9811TM, American Type Culture Collection ATCC), Actinomyces naeslundii (DSM 43013, German Collection of Microorganisms and Cell Cultures), Veillonella dispar (DSM 20735) and Porphyromonas gingivalis (DSM 20709) was integrated into the 3D peri-implant bone-mucosa model as previously described ( 27 ). Briefly, the four bacterial species were pre-cultured at 37°C under anaerobic conditions (80% N₂; 10% H₂; 10% CO₂) in brain heart infusion (BHI) medium (CM1135B, Oxoid), supplemented with 10 µg/mL vitamin K. The bacterial pre-cultures were mixed equally in BHI/vitamin K to achieve a final optical density (600 nm) of 0.01 for each species. The MSBFs were cultivated on glass cover slips (18 mm in diameter, 1 mm in thickness, Thermo Scientific Menzel) in 12-well plates for 24 hours under anaerobic conditions (less than 0.1% O 2 , 7–15% CO 2 ) at 37°C. After the assembly of the 3D peri-implant bone-mucosa model and cultivation for 14 days, MSBF was placed with biofilm side on spacers and on the integrated titanium cylinder of the peri-implant bone-mucosa model, as previously described ( 20 ). The co-culture model was then submerged cultivated in co-culture medium (airlift medium without P/S and supplemented with 10% BHI/vitamin K) for 24 hours under a humidified environment at 37°C with 5% CO 2 . Live/dead fluorescence staining and microscopy Cell adhesion and viability on scaffolds were assessed after 1 day of cell seeding using a live/dead fluorescence staining. A similar evaluation was conducted after 17 days of cultivation in bone-implant model and also 2, 7 and 14 days after constructing the 3D peri-implant bone-mucosa model. A mixture of propidium iodide (P4864, Sigma-Aldrich) and Calcein AM (C3099, Thermo Fisher Scientific Inc.), each diluted 1:1000 in sterile PBS, was used to stain the cells in the scaffolds. The medium from each well was collected, replaced with 4 mL of the live/dead staining solution and further incubated for 30 minutes at 37°C in a humidified environment with 5% CO 2 . All the staining procedure was protected from light. Subsequently, the staining solution was replaced with PBS to enable microscopic examination using confocal laser scanning microscopy (CLSM; Leica TCS SP8, Leica Microsystems). Images were taken using lasers with 488 nm and 552 nm wavelength. Reflection mode (405 nm) was used to observe scaffolds’ surface. After examination of cells on the scaffolds’ top surface in the bone-implant model, scaffolds were perpendicularly cut using disposable scalpels (No.11, Feather safety razor Co., Osaka, Japan) and turned 90° to visualize cell viability inside the scaffolds. The same cutting procedure was applied to the peri-implant bone-mucosa model. Three-dimensional image reconstruction was done using the Imaris x64 8.4 software package (Bitplane AG). Collagen 1 immunofluorescent staining and microscopy At the endpoint of the bone-implant model (17 days) and after 2, 7 and 14 days of cultivation in the peri-implant bone-mucosa model, samples were fixed using 4% paraformaldehyde (PFA, 0335.2, Carl Roth GmbH) for 20 minutes at room temperature. Samples were permeabilized with 0.1% Triton X-100 (T9284, Sigma-Aldrich) in phosphate-buffered saline (PBS, D8537, Sigma-Aldrich) for 10 minutes at room temperature. After rinsing, the samples were blocked with 2% bovine serum albumin (BSA, A9418, Sigma-Aldrich) in PBS for 30 minutes at 37°C to prevent nonspecific binding. Scaffolds were further incubated with the Collagen Type I Polyclonal primary antibody (Col-I, 1:2000, 14695-1-AP, Proteintech) for 2 hours at 37°C or overnight at 4°C. After washing four times with PBS, the samples were incubated for 1 hour at room temperature or 30 minutes at 37°C with the secondary antibody conjugated to DyLight® 488 (Goat Anti-Rabbit IgG H&L, 1:200, ab96883, Abcam). After washing four more times, Phalloidin–TRITC (1:500, P1951, Sigma-Aldrich) was used to visualize filamentous actin (F-actin). This counterstaining step lasted for 30 minutes at room temperature. The samples were again washed four times with PBS and CLSM was performed immediately (lasers with 405 nm, 488 nm and 552 nm wavelengths). Cell observation on the top and middle of the bone-implant model, as well as the middle of the bone part in peri-implant bone-mucosa model, was performed as described in “Live/dead fluorescence staining and microscopy” section. The Imaris software was used for 3D reconstruction of stained specimens. Alizarin Red S Staining (ARS) and quantification After 17 days of cultivation, 3D bone-implant models were fixed using 4% paraformaldehyde for a duration of 20 minutes at room temperature while shaking on an orbital shaker (Titramax 100, Heidolph GmbH). The bone models were immersed with 2% alizarin red staining solution (ARS, A5533, Sigma-Aldrich) for 30 minutes at room temperature in the dark while shaking. To measure the extent of mineralization, the ARS dye was extracted from the samples by submerging them in a mixture of 10% acetic acid (Carl Roth GmbH) and 20% methanol (JT Baker) at room temperature for 30 minutes while shaking. Subsequently, the absorbance was determined at 405 nm wavelength using a plate reader (Tecan, Infinite M200Pro). To ensure the accuracy of the matrix mineralization analysis, a control group of unseeded scaffolds was included, which was incubated in osteogenic medium in parallel with the experimental samples. Histological examination The samples were fixed for at least 24 hours in 4% buffered formalin solution at room temperature. Samples were dehydrated using an ethanol gradient (50%, 70%, 96%) and then infiltrated with Technovit 9100 resin solution (Kulzer GmbH). Polymerization of the samples was performed using fresh Technovit 9100 resin in embedding molds. Sectioning, grinding and Elastica Van Gieson staining were performed at either MORPHISTO GmbH (Offenbach am Main) or LLS ROWIAK LaserLabSolutions GmbH (Hannover). Microscopic evaluation was done using Zeiss Axioskop 40 microscope (Carl Zeiss GmbH). Microscopic visualization of MSBF MSBFs were fluorescently stained with SYTO®9 and propidium iodide using LIVE/DEAD® BacLight™ Bacterial Viability Kit (L7012, Thermo Fisher Scientific GmbH). A 1:1000 dilution of each stain was prepared in PBS and administered to the samples for 30 minutes of incubation in the absence of light. Subsequently, fixation of stained samples was applied using 2.5% glutaraldehyde solution (111-30-8, Carl Roth GmbH; diluted 1:10 with PBS). Biofilms were visualized utilizing a CLSM microscope with lasers at 488 nm and 552 nm wavelengths. The 3D reconstructions of stained MSBF were prepared using Imaris software. Statistical analysis Statistical analyses and graphic processing of the data were performed using the GraphPad Prism Software 8.4. Normal distribution was checked using the Kolmogorov–Smirnov test. According to the results, Mann-Whitney test was used to analyze ARS staining results. A significance level of α = 0.05 was set for all comparisons. Results Scaffold selection and further adjustments Initially, a comparative analysis of three commercially available scaffolds with different chemical and physical characteristics (PS, PCL, HA/TCP, Table 1 ) was performed in order to identify the optimal scaffold that aligned with our objectives. We observed that cells seeded statically in drops on PS and PCL scaffolds attach and remain mainly at application site without spreading even after growth for longer cultivation periods. Accordingly, ARS staining visualizes a drop-related pattern of mineralization on PS and PCL scaffolds (Fig. 1 A). While cell distribution and growth were limited in PS and PCL scaffolds, HA/TCP scaffolds exhibited further distribution of cells on the scaffold surface and in open cavities (Fig. 1 B). Despite these differences, all three scaffolds demonstrated good cell viability in live/dead fluorescence staining (Fig. 1 A, B). However, due to the thin structure of PS and PCL scaffolds, CLSM imaging could effectively capture cell viability across the depth, whereas for HA/TCP scaffolds, additional imaging from the middle and bottom was required to assess cell viability and penetration. Cell penetration within the HA/TCP scaffold in the dimension of 10×5 mm was limited in this initial analysis, resulting in minimal cell presence within the middle and bottom of the scaffold (Fig. 1 B). Nevertheless, HA/TCP scaffolds displayed with 99.4% a much better seeding efficiency when compared to PS and PCL scaffolds with a CSE of 58% and 42.5%, respectively (Fig. 1 C). Based on the more uniform distribution and increased CSE as well as a high compliance with actual bone material regarding chemical composition and mechanical characteristics, we decided to proceed with HA/TCP scaffolds to develop a 3D in vitro bone-implant model with enhanced clinical relevance. Although, a customized reduction of the HA/TCP scaffold size to 10×2 mm improved cell distribution and penetration, this approach did not support long-term cell maintenance, as 17 days of static culture still led to reduced cell viability in both the center and surface of the scaffold (Fig. S1 ). We hypothesized that cell viability was compromised by lack of nutrients, specifically in the inner compartment of the scaffold. Thus, prior to seeding of NHOst cells, 5–6 perforations to open and connect closed cavities within the scaffold material were applied using a syringe. Moreover, an in-house designed and manufactured drill guide for 2.5mm round end taper dental bar was applied to enable a highly precise and reproducible placement of a gap area within the spongy but brittle material for subsequent insertion of the implant (Fig. 2 A). During cultivation, the cell-loaded scaffolds were subjected to orbital shaking to improve nutrient, metabolite and oxygen supply. With these modifications, an optimized protocol for the assembly and analysis of 3D in vitro bone-implant models could be established (Fig. 2 B). Osteoblast viability and growth in the bone-implant model Using the optimized protocol specified above, live/dead staining was used to determine the cell viability and growth. One day after seeding, cells exhibited good viability and elongated morphology on the surface as well as in the middle of the scaffold (Fig. 3 A). Cells exhibited extreme high density and uniform distribution only on the scaffold's surface, while moderate cell densities were observed deeper within the scaffold material. However, a considerable fraction of cells were able to advance throughout the scaffold, particularly in interconnected cavities with direct access to the surface (Fig. 3 A). After 17 days of dynamic cultivation, the cells on top as well as within the material displayed predominantly green fluorescence, indicating high cell viability and robust growth (Fig. 3 B). Although red fluorescence was slightly increased in the middle, suggesting less optimal conditions for cell survival, the overall high cell viability confirmed sufficient supply even over longer culture periods (Fig. 3 B). Importantly even after 23 days of cultivation no loss of viability was observed (Fig. S2). These findings confirm that the scaffold and cultivation method provided a supportive environment for cell survival and proliferation in both regions, with strong viability even in the middle of scaffold. Expression of osteoblastic phenotype in the bone-implant model To assess the capacity of osteoblasts in the 3D model to form extracellular matrix, collagen type 1 immunofluorescence staining was performed. As depicted in Fig. 4 , expression of collagen type 1 was confirmed throughout the 3D bone-implant model. While collagen distribution in the middle of the scaffold was not as uniform as on the surface, this variation is expected due to the accumulation of cells mainly around pathways with direct access to the surface (Fig. 4 A). Cell cytoskeleton stained with phalloidin showed an intact elongated morphology of cells after 17 and 23 days of osteogenic cultivation on both surface and in the middle of the scaffold (Fig. 4 A and Fig. S3). ARS staining highlighted also an increased formation of mineralized ECM over 17 days of cultivation (Fig. 4 B). Therefore, these findings confirmed the sustained expression of phenotypic characteristics of osteoblasts with ECM mineralization and collagen expression in HA/TCP scaffolds under the applied conditions. Assembly and histological characterization of the peri-implant bone-mucosa model The different steps of assembling the peri-implant bone-mucosa model, along with a schematic illustration and a photograph of the final product, are shown in Fig. 5 A. Histological staining and analyses at all time points demonstrated a composite structure including oral mucosa tightly attached to an underlying hard tissue (Fig. 5 B). The top layer exhibited a stratified epithelium covering collagen-embedded human gingival fibroblasts. Within 14 days of airlift cultivation this epithelium remained intact without any obvious indication of degradation or separation. The bone-mucosa interface appeared closely connected without bigger gaps or invading cells. In fact, the soft tissue even followed the topographical outline of the osteoblast-loaded scaffold indicating no rejection of the different materials and cells. In addition, the interfaces of the implant with both, soft- and hard-tissue, demonstrated no signs of invading cells (especially no apical migration of epithelium), which confirmed the sustained interaction especially of the hydrogel-imbedded fibroblasts with the implant. The pores of the scaffolds, contained osteoblasts imbedded in secreted matrices in variable amounts (Fig. 5 B). Overall, these findings demonstrate the successful assembly of the 3D peri-implant bone-mucosa model, closely resembling the oral tissue-implant structure with the predominant cell types. Osteoblast viability and growth in the peri-implant bone-mucosa model Osteoblast cell viability and growth within the peri-implant bone-mucosa model was assessed using live/dead staining after merging artificial mucosa and bone model for 2, 7 and 14 days. Due to the close connection of the bone-mucosa interface they could not be separated without damage. Accordingly, a simple microscopic assessment of cells on the top was no longer possible, but was limited to the state of cells in the middle of the scaffold. Cells demonstrated high density and viability even within the hard tissue indicating no adverse effects of combination with oral mucosa and cultivation in air-lift medium at any time point. (Fig. 6 ). Expression of osteoblastic phenotype in the peri-implant bone-mucosa model After 2, 7 and 14 days of cultivation in the 3D composite model, immunofluorescence staining confirmed the continued expression of collagen type 1 in the hard tissue (Fig. 7 ). The distribution of collagen was comparable to the pattern observed in the 3D bone-implant model alone. Phalloidin staining demonstrated the spread of cells within the scaffold (Fig. 7 ). Compared to the 3D bone-implant model alone, the presence of the oral mucosa or the use of air-lift medium did not interfere with collagen expression in underlying hard tissue. Multispecies biofilm (MSBF) integration in the peri-implant bone-mucosa model As an outlook experiment, a MSBF was incorporated into the 3D composite model to create a co-culture system based on a 3D in vitro peri-implant bone-mucosa-biofilm model, as illustrated in the schematic in Fig. 8 A. Live/dead staining of the biofilms confirmed the successful integration of a vital biofilm into the 3D composite model using conditions established in previous studies for co-cultivation of 3D models and bacterial biofilms ( 20 , 25 )(Fig. 8 B). The histological images demonstrate a continued tissue connection to implant surface, even after 24 hours of co-cultivation with MSBF (Fig. 8 C). The epithelium was damaged and loosened showing early signs of degradation, particularly near the embedded implant. The bone–mucosa interface exhibited intact and continuous contact (Fig. 8 C) Discussion In the oral cavity, dental implants interact with multiple interconnected biological structures including oral mucosa, underlying bone and the surrounding microbiome. These elements influence each other contributing to peri-implant health and playing a critical role in the development of peri-implant diseases ( 7 , 8 , 28 ). Studying these conditions or developing strategies to mitigate implant-related complications by focusing on only one factor—be it soft tissue, bone, or bacteria—without considering their interplay fails to capture the complexity of the clinical environment. In a similar way, relying on conventional 2D in vitro models limits the clinical significance of findings since the behavior and dynamic interaction of cells is different in 3D tissue structures (15, 22). Consequently, there is a growing demand for advanced peri-implant models that closely replicate the clinical tissue-implant interface ( 21 ). Therefore, the aims of the present study were (i) to develop a 3D in vitro bone-implant model and (ii) to combine this model with our previously developed 3D peri-implant mucosa model to create the most complex modular 3D in vitro peri-implant bone-mucosa composite model that accurately represents the relevant factors in vivo . This complex 3D composite model will provide a clinically relevant platform for studying tissue-implant interactions, evaluating modified implant surfaces/biomaterials and investigating peri-implant disease progression. To study peri-implant infections, the combination and co-cultivation of the new 3D model with oral biofilms is necessary. Therefore, we addressed the possible integration of a multispecies biofilm in the model for further applications. In order to study the osseointegration processes and implant material properties in vitro , different strategies have been followed, including a tissue-on-chip model ( 29 ), wrapping of cell-sheets around implant ( 30 ), explant models ( 31 – 33 ) and most commonly, scaffold-based models relying on materials such as hydrogels or bone blocks as scaffolds ( 21 , 34 – 37 ). 3D culture systems using scaffolds offer an animal-independent approach that enables controlled, time-resolved investigation of disease development ( 21 ). Based on the published findings and applications of different scaffold materials, we focused on few promising candidates which are commercially available for our purpose ( 15 , 38 – 40 ). PCL polymer has been widely utilized as a scaffold material in tissue engineering applications due to its excellent biocompatibility, low immunogenicity and optimal degradation properties ( 40 ). Likewise, PS scaffolds, characterized by their high stiffness and non-resorbable properties, have been used as bone substitutes and supporting structures for 3D in vitro cultivation ( 38 , 39 ). HA/TCP, composed of hydroxyapatite and calcium phosphate, closely resembles the chemical composition of natural bone and is already used clinically as a bone graft substitute. Additionally, their macroscopic trabecular architecture resembles the spongy structure of cancellous bone ( 41 – 43 ). Tested scaffolds used in this study—PS, PCL, and HA/TCP— demonstrated good cell adhesion in quantity, quality and viability, with HA/TCP scaffolds exhibiting the highest cell seeding efficiency (CSE).However, after prolonged cultivation in osteogenic medium, cells on PS and PCL scaffolds did not further distribute over the scaffold volume and remained mainly in the locations defined by the drop-seeding. In contrast, HA/TCP scaffolds exhibited superior cell distribution, growth and osteoblastic phenotype likely due to their calcium-based composition, which imparts osteoinductive properties ( 43 ). Considering the high resemblance of natural bone structure in terms of chemical and physical properties by the HA/TCP scaffold, it was preferred for the incorporation in 3D model assembly. To improve cell penetration and viability in the center of HA/TCP scaffolds, modifications were implemented including pre-wetting scaffolds to remove air bubbles, adding a central implant hole with perforations, and reducing scaffold thickness. A similar HA/TCP scaffold was used in a previous study with 3 mm thickness to develop an engineered bone model, although cellular vitality decreased after three months of cultivation ( 44 ). In our study, we used a 2.5 mm thick scaffold and a shorter cultivation period, which helped maintain better cellular vitality. Additionally, static cultivation can be inefficient to support cell growth beside the periphery of scaffolds due to limited diffusion of essential nutrients and oxygen, with maximum cell ingrowth within a range of 200–400 µm from the outer surface of a scaffold ( 45 , 46 ). Simple dynamic cultivation methods can improve cell growth and expression of osteoblastic phenotype ( 47 ). Therefore, dynamic cultivation on an orbital shaker was implemented together with inserts and perforated membranes to enhance the flow of medium through scaffolds. After optimizing scaffold adjustment, cultivation system and seeding technique, our results demonstrated sustained cell viability and growth throughout the scaffold thickness over extended periods, highlighting the positive effects of the adjusted protocol. The presented model is in line with the results of other studies evaluating osteoblast viability on HA scaffolds and attesting its good biocompatibility ( 48 – 50 ). Moreover, by using primary human osteoblasts, which more accurately reflect the physiological properties of natural tissue cells ( 43 ), the clinical relevance of this model could be increased. Previous investigations have demonstrated that primary osteoblasts cultured in osteogenic medium within a 3D cultivation setup exhibit collagen type I (Col 1) expression, a marker of early-stage maturation, by day 7 with mineralization occurring by day 14 ( 51 ). Therefore, we selected a 17-day cultivation period, with 14 days dedicated to osteoblastic maturation, similar to Almela et al. ( 50 ). In contrast, here a titanium cylinder representing a dental implant was inserted into the model and cultivated for the last two days, creating a standalone bone-implant model. This approach aimed to maintain simplicity while providing a more clinically relevant alternative to 2D cultivation methods simulating the immediate post-implant placement conditions in the oral cavity. As a consequence of cell viability, the cultivation period could be extended to 23 days, allowing for further tissue maturation before transitioning to airlift conditions and integrating with the mucosa model. Evaluation of resulting bone-like tissue formation revealed key features characteristic for extracellular matrix (ECM) of bone, including the presence of Col 1 and enhanced mineralization. Bone ECM is made up by organic (90% composed of Col 1 and 10% non-collagenous proteins) and inorganic compounds (hydroxyapatite). It modulates cell adhesion, proliferation, differentiation, bone strength and functionality of mature bone ( 52 ). The active production of ECM components within our 3D setting reflects the expression of osteoblastic phenotype, as it was demonstrated also in other studies using a variety of cell types and scaffold materials ( 21 , 37 , 43 , 53 ). Overall, our results confirm the successful development of a clinically relevant, viable 3D bone-implant model with robust ECM formation and mineralization, establishing hard tissue for the subsequent integration within the anticipated 3D composite model. A recent systematic review of available in vitro 3D complex models in implant dentistry highlighted that typically the implant interface behavior with either bone or gingival tissue was addressed in these models, but not both ( 21 ). In the present study, we addressed this limitation by merging our 3D bone model with our previously developed oral mucosa model with an integrated titanium implant ( 25 ). This created the first and most complex model of oral tissue, consisting of hard and soft tissue, surrounding a dental implant. Histological evaluations revealed structures with bone tissue-like, connective tissue-like and epithelium layers on top of each other arranged around the titanium implant, closely resembling the natural architecture of peri-implant tissues within the oral cavity. Similar histological observations have been reported in previous studies that developed comparable bone-oral mucosal models but without simultaneous integration of an implant ( 44 , 50 ). Moreover, unlike previous investigations which employed a fibrin-based adhesive sealant to permanently merge hard and soft tissues ( 44 , 50 ), our model does not rely on the additional use of an adhesive sealant. Although fibrin-based adhesive sealants can effectively hold tissues together and close gaps, they may also act as a mechanical barrier, impairing the direct interactions between tissues ( 54 ). Such interactions are based on physical contact within and between soft and hard tissues as well as the exchange of signaling molecules, secreted growth factors and enzymes, but also inflammatory cytokines in response to bacterial infections ( 55 , 56 ). Our focus for the future application of the composite model presented here will be on the investigation of peri-implant diseases and the evaluation of possible preventive and therapeutic strategies. Therefore, it was essential that the integrity of the sterile tissue structures could be maintained over a longer period of time. This primarily affects the differentiation of the epithelium, which can only be maintained in airlift with appropriate media. While similar studies have successfully cultivated bone-oral mucosal constructs for 5 days in an air/liquid interface ( 44 , 50 ), we were able to extent this period to 14 days, without losing epithelial integrity, despite limited access to medium from below through the scaffold. In addition, a strong implant-mucosa bond plays a crucial role in mimicking a healthy peri-implant situation. In this regard, no mucosal detachment from the titanium or increased migration of epithelial cells was observed during the study period, likely due to the separate mucosa formation with an integrated implant ( 25 ), and then careful transfer onto the pre-populated hard tissue scaffold using an extended implant serving as a stabilizing connection.Moreover, osteoblasts cell viability and osteoblastic phenotype was maintained within the peri-implant bone-mucosa model, consistent with previous studies ( 44 , 50 ). Consequently, we were able to produce a controlled 3D environment encompassing multiple cell types which can not only coexist but have the possibility to interact dynamically, exchanging signals and influencing each other's behavior — closely mimicking the physiological interplay at the implant interface. Peri-implant diseases are complex multifactorial conditions involving both soft tissue and hard tissues arising from a disrupted host-microbe balance ( 7 ). Various organotypic oral tissue models, including epithelium and gingiva/mucosa, have been integrated with bacterial, fungal, or viral species to study host-microbe dynamics ( 22 ). Some studies have also incorporated titanium implants into mucosa model to assess host-microbe interactions at peri-implant sites ( 20 , 23 , 25 , 57 ). In this study, we exemplary integrated an oral multispecies biofilm (MSBF) into our 3D peri-implant bone-mucosa model to demonstrate the potential for simulating host-material-microbe interactions in a controlled environment, providing a robust platform for future research. This biofilm comprises four oral bacterial species, including early, middle and late colonizers, representing an early commensal biofilm on the dental implant surface, closely resembling clinical situations ( 27 ). Notably, the biofilm remained viable after integration with the peri-implant bone-mucosa model, demonstrating its ability to sustain activity within the model and further enhancing its clinical relevance for studying the dynamic interactions between host tissues and microbial communities. Furthermore, the epithelial barrier was compromised and detached from the underlying tissue, a hallmark of peri-implant diseases, indicating disruption of the host-microbe homeostasis ( 20 , 58 ). This may be attributed to the downregulation of adhesion-related genes, as reported in a previous study ( 20 ). However, a notable distinction here is that the epithelium damage was already observed after 24 hours of co-cultivation, whereas Mikolai et al. demonstrated a protective pro-inflammatory response in the peri-implant mucosa model and a compromised host microbe balance not before 48 hours ( 20 ). This difference may be attributed to the presence of osteoblasts, which are known to play a role in immune modulation and inflammatory response to bacterial infection. Previous studies have demonstrated that osteoblasts co-cultured with bacteria actively secrete pro-inflammatory cytokines and chemokines ( 59 – 61 ). Therefore, their presence in our model may have influenced cytokine signaling, potentially accelerating the disruption of epithelial integrity, which should be addressed in subsequent studies. The mutual influence of different tissues and bacterially induced infections in complex models could also contribute to the in-depth investigation of further relationships. Pro-inflammatory cytokines such as interleukin-1β, interleukin-6, and tumor necrosis factor can impair osteogenic differentiation and promote osteoclast activation, leading to bone resorption in peri-implantitis ( 62 , 63 ). The 3D peri-implant bone-mucosa model presented here offers the possibility of evaluating pro-inflammatory responses to biofilm infections in a system that, for the first time, considers both soft and hard tissue. The model represents the peri-implant situation shortly after implantation and provides valuable insights into the function and mutual influence of various tissue cells in both healthy and diseased states. Further studies are planned to use the model for detailed investigations in the field of host-biofilm interactions, as well as the development of innovative approaches in diagnostics, prevention and therapy. Conclusion The present study successfully established a 3D bone-implant model by seeding and differentiating primary osteoblasts on a HA/TCP scaffold, which closely mimics the chemical and physical properties of natural bone. This scaffold-based approach provides a more clinically relevant alternative to traditional 2D models. The integration of this bone model in a 3D peri-implant mucosa model led to the development of the first and most complex 3D in vitro peri-implant model to date. This 3D peri-implant bone-mucosa model successfully replicates key elements of the clinical setting, including soft tissue, hard tissue, and an embedded dental implant. Notably, the insertion of the implant after bone-like tissue formation further validated its resemblance to clinical setups. Besides, the incorporation of MSBF presents a promising step toward studying pro-inflammatory responses to bacterial infections within a physiologically relevant peri-implant environment. Consequently, the new developed 3D peri-implant bone-mucosa model will enable, on the one hand, future investigations of the host-biofilm interactions to provide new knowledge about peri-implant diseases. On the other hand, it will allow the testing of new preventive and therapeutic strategies in a clinically relevant 3D in vitro setting. Abbreviations 2D/3D Two/ three-dimensional MSBF Multispecies biofilm CLSM Confocal laser scanning microscopy PS Polystyrene PCL Polycaprolactone HA/TCP Hydroxyapatite, β-Tricalcium phosphate ARS Alizarin red s staining NHOst Normal human osteoblasts HGF Human gingival fibroblasts OKF6 Immortalized human oral keratinocytes Col 1 Collagen type-I Ti Titanium FBS Fetal bovine serum P/S Penicillin/streptomycin KerSFM Keratinocyte serum-free medium BPE Bovine pituitary extract EGF Epithelial growth factor CSE Cell seeding efficiency BHI Brain heart infusion PFA Paraformaldehyde ECM Extracellular matrix Declarations Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Availability of data and materials All data generated or analyzed during this study are included in this published article [and its supplementary information files]. Competing interests The authors declare that they have no competing interests. Funding This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)–SFB/TRR-298-SIIRI–Project-ID 426335750. Additionally, it was supported by the Matrix Evolution project, which is funded by zukunft.niedersachsen, a funding programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation. Authors' contributions Conceptualization: BM, MK-P, CM, AW, DW, HM, MS; methodology: BM, MK-P, CM, AW, KD-N, AK; validation: BM, MK-P, CM, AW, MIR, KD-N, MS; formal analysis: BM, MK-P; investigation: BM, MK-P; resources: MS; data collection: BM, MK-P; writing – original draft: MK-P; writing – review & editing: BM, MK-P, CM, AW, MIR, KD-N, AK, N-CG, DW, HM, MS; visualization: BM, MK-P; supervision: CM, MS; project administration: CM, MS; funding acquisition: CM, MS. All authors read and approved the final manuscript. Acknowledgements We sincerely thank Diana Strauch for her invaluable histological support and Richard Werth for his assistance with scaffold adjustment and drill guide fabrication. References Pye A, Lockhart D, Dawson M, Murray C, Smith A. A review of dental implants and infection. J Hosp Infect. 2009;72(2):104–10. Oh S-L, Shiau HJ, Reynolds MA. Survival of dental implants at sites after implant failure: a systematic review. J Prosthet Dent. 2020;123(1):54–60. Atsuta I, Ayukawa Y, Kondo R, Oshiro W, Matsuura Y, Furuhashi A, et al. Soft tissue sealing around dental implants based on histological interpretation. J prosthodontic Res. 2016;60(1):3–11. Adell R, Eriksson B, Lekholm U, Brånemark P-I, Jemt T. A long-term follow-up study of osseointegrated implants in the treatment of totally edentulous jaws. Int J Oral Maxillofacial Implants. 1990;5(4). Branemark P-I. Osseointegration and its experimental background. J Prosthet Dent. 1983;50(3):399–410. Liaw K, Delfini RH, Abrahams JJ, editors. Dental implant complications. Seminars in Ultrasound, CT and MRI. Elsevier; 2015. Alves CH, Russi KL, Rocha NC, Bastos F, Darrieux M, Parisotto TM, Girardello R. Host-microbiome interactions regarding peri-implantitis and dental implant loss. J translational Med. 2022;20(1):425. Zhao B, Van Der Mei HC, Subbiahdoss G, de Vries J, Rustema-Abbing M, Kuijer R, et al. Soft tissue integration versus early biofilm formation on different dental implant materials. Dent Mater. 2014;30(7):716–27. Kheirmand-Parizi M, Doll-Nikutta K, Gaikwad A, Denis H, Stiesch M. Effectiveness of strontium/silver-based titanium surface coatings in improving antibacterial and osteogenic implant characteristics: a systematic review of in-vitro studies. Front Bioeng Biotechnol. 2024;12:1346426. Blanc-Sylvestre N, Bouchard P, Chaussain C, Bardet C. Pre-clinical models in implant dentistry: past, present, future. Biomedicines. 2021;9(11):1538. Debener N, Heine N, Legutko B, Denkena B, Prasanthan V, Frings K, et al. Optically accessible, 3D-printed flow chamber with integrated sensors for the monitoring of oral multispecies biofilm growth in vitro. Front Bioeng Biotechnol. 2024;12:1483200. Schmalz G, Galler KM. Biocompatibility of biomaterials–Lessons learned and considerations for the design of novel materials. Dent Mater. 2017;33(4):382–93. Jensen C, Teng Y. Is it time to start transitioning from 2D to 3D cell culture? Front Mol Biosci. 2020;7:33. Duval K, Grover H, Han L-H, Mou Y, Pegoraro AF, Fredberg J, Chen Z. Modeling physiological events in 2D vs. 3D cell culture. Physiology. 2017;32(4):266–77. Yuste I, Luciano FC, González-Burgos E, Lalatsa A, Serrano D. Mimicking bone microenvironment: 2D and 3D in vitro models of human osteoblasts. Pharmacol Res. 2021;169:105626. Battiston KG, Cheung JW, Jain D, Santerre JP. Biomaterials in co-culture systems: towards optimizing tissue integration and cell signaling within scaffolds. Biomaterials. 2014;35(15):4465–76. Rouwkema J, Gibbs S, Lutolf MP, Martin I, Vunjak-Novakovic G, Malda J. In vitro platforms for tissue engineering: implications for basic research and clinical translation. J Tissue Eng Regen Med. 2011;5(8):e164–7. Stadlinger B, Pourmand P, Locher MC, Schulz MC. Systematic review of animal models for the study of implant integration, assessing the influence of material, surface and design. J Clin Periodontol. 2012;39:28–36. Ravi M, Paramesh V, Kaviya S, Anuradha E, Solomon FP. 3D cell culture systems: advantages and applications. J Cell Physiol. 2015;230(1):16–26. Mikolai C, Kommerein N, Ingendoh-Tsakmakidis A, Winkel A, Falk CS, Stiesch M. Early host–microbe interaction in a peri‐implant oral mucosa‐biofilm model. Cell Microbiol. 2020;22(8):e13209. Shayya G, Benedetti C, Chagot L, Stachowicz M-L, Chassande O, Catros S. Revolutionizing Dental Implant Research: A Systematic Review on Three-Dimensional In Vitro Models. Tissue Eng Part C: Methods. 2024;30(9):368–82. Shang L, Deng D, Krom BP, Gibbs S. Oral host-microbe interactions investigated in 3D organotypic models. Crit Rev Microbiol. 2024;50(4):397–416. Ren X, van der Mei HC, Ren Y, Busscher HJ. Keratinocytes protect soft-tissue integration of dental implant materials against bacterial challenges in a 3D-tissue infection model. Acta Biomater. 2019;96:237–46. Kheirmand-Parizi M, Doll-Nikutta K, Mikolai C, Wirth D, Menzel H, Stiesch M. Dual Antibacterial and Soft-Tissue-Integrative Effect of Combined Strontium Acetate and Silver Nitrate on Peri-Implant Environment: Insights from Multispecies Biofilms and a 3D Coculture Model. ACS Applied Materials & Interfaces; 2025. Ingendoh-Tsakmakidis A, Mikolai C, Winkel A, Szafrański SP, Falk CS, Rossi A, et al. Commensal and pathogenic biofilms differently modulate peri‐implant oral mucosa in an organotypic model. Cell Microbiol. 2019;21(10):e13078. Dickson MA, Hahn WC, Ino Y, Ronfard V, Wu JY, Weinberg RA, et al. Human keratinocytes that express hTERT and also bypass a p16INK4a-enforced mechanism that limits life span become immortal yet retain normal growth and differentiation characteristics. Mol Cell Biol. 2000;20(4):1436–47. Kommerein N, Stumpp SN, Müsken M, Ehlert N, Winkel A, Häussler S, et al. An oral multispecies biofilm model for high content screening applications. PLoS ONE. 2017;12(3):e0173973. Chai W, Moharamzadeh K, Brook I, Van Noort R. A review of histomorphometric analysis techniques for assessing implant-soft tissue interface. Biotech Histochem. 2011;86(4):242–54. Jia F, Wang S, Xu S, Wu W, Zhou L, Zeng J. The role of titanium surface micromorphology in MG-63 cell motility during osteogenesis. Sci Rep. 2022;12(1):9971. Zhou W, Han C, Song Y, Yan X, Li D, Chai Z, et al. The performance of bone marrow mesenchymal stem cell–implant complexes prepared by cell sheet engineering techniques. Biomaterials. 2010;31(12):3212–21. Lumbikanonda N, Sammons R. Bone cell attachment to dental implants of different surface characteristics. Int J Oral Maxillofacial Implants. 2001;16(5). Sammons RL, Lumbikanonda N, Gross M, Cantzler P. Comparison of osteoblast spreading on microstructured dental implant surfaces and cell behaviour in an explant model of osseointegration: a scanning electron microscopic study. Clin Oral Implants Res. 2005;16(6):657–66. Hsu S-K, Huang W-T, Liu B-S, Li S-M, Chen H-T, Chang C-J. Effects of near-field ultrasound stimulation on new bone formation and osseointegration of dental titanium implants in vitro and in vivo. Ultrasound Med Biol. 2011;37(3):403–16. Morishita A, Kumabe S, Nakatsuka M, Iwai Y. A histological study of mineralised tissue formation around implants with 3D culture of HMS0014 cells in Cellmatrix Type IA collagen gel scaffold in vitro. Okajimas Folia Anat Jpn. 2014;91(3):57–71. Stuani VT, Kim DM, Nagai M, Chen C-Y, Sant’Ana ACP. The in vitro evaluation of preosteoblast migration from 3-D-printed scaffolds to decontaminated smooth and minimally rough titanium surfaces: A pilot study. Altern Lab Anim. 2021;49(3):83–92. Sivolella S, Brunello G, Ferroni L, Berengo M, Meneghello R, Savio G, et al. A novel in vitro technique for assessing dental implant osseointegration. Tissue Eng Part C: Methods. 2016;22(2):132–41. Sladkova-Faure M, Pujari-Palmer M, Öhman-Mägi C, López A, Wang H Jr, Engqvist H, de Peppo GM. A biomimetic engineered bone platform for advanced testing of prosthetic implants. Sci Rep. 2020;10(1):22154. Terranova L, Mallet R, Perrot R, Chappard D. Polystyrene scaffolds based on microfibers as a bone substitute; development and in vitro study. Acta Biomater. 2016;29:380–8. Baker SC, Atkin N, Gunning PA, Granville N, Wilson K, Wilson D, Southgate J. Characterisation of electrospun polystyrene scaffolds for three-dimensional in vitro biological studies. Biomaterials. 2006;27(16):3136–46. Siddiqui N, Asawa S, Birru B, Baadhe R, Rao S. PCL-based composite scaffold matrices for tissue engineering applications. Mol Biotechnol. 2018;60:506–32. Abbasi N, Hamlet S, Love RM, Nguyen N-T. Porous scaffolds for bone regeneration. J science: Adv Mater devices. 2020;5(1):1–9. Ho-Shui-Ling A, Bolander J, Rustom LE, Johnson AW, Luyten FP, Picart C. Bone regeneration strategies: Engineered scaffolds, bioactive molecules and stem cells current stage and future perspectives. Biomaterials. 2018;180:143–62. Bouët G, Marchat D, Cruel M, Malaval L, Vico L. In vitro three-dimensional bone tissue models: from cells to controlled and dynamic environment. Tissue Eng Part B: Reviews. 2015;21(1):133–56. Almela T, Brook IM, Moharamzadeh K. Development of three-dimensional tissue engineered bone-oral mucosal composite models. J Mater Science: Mater Med. 2016;27:1–8. Martin I, Wendt D, Heberer M. The role of bioreactors in tissue engineering. Trends Biotechnol. 2004;22(2):80–6. Rouwkema J, Rivron NC, van Blitterswijk CA. Vascularization in tissue engineering. Trends Biotechnol. 2008;26(8):434–41. Woo KM, Jun J-H, Chen VJ, Seo J, Baek J-H, Ryoo H-M, et al. Nano-fibrous scaffolding promotes osteoblast differentiation and biomineralization. Biomaterials. 2007;28(2):335–43. Li J, Yang L, Guo X, Cui W, Yang S, Wang J, et al. Osteogenesis effects of strontium-substituted hydroxyapatite coatings on true bone ceramic surfaces in vitro and in vivo. Biomed Mater. 2017;13(1):015018. Zhang X, Chang W, Lee P, Wang Y, Yang M, Li J, et al. Polymer-ceramic spiral structured scaffolds for bone tissue engineering: effect of hydroxyapatite composition on human fetal osteoblasts. PLoS ONE. 2014;9(1):e85871. Almela T, Al-Sahaf S, Bolt R, Brook IM, Moharamzadeh K. Characterization of multilayered tissue-engineered human alveolar bone and gingival mucosa. Tissue Eng Part C: Methods. 2018;24(2):99–107. Payr S, Rosado-Balmayor E, Tiefenboeck T, Schuseil T, Unger M, Seeliger C, van Griensven M. Direct comparison of 3D and 2D cultivation reveals higher osteogenic capacity of elderly osteoblasts in 3D. J Orthop Surg Res. 2021;16:1–7. Lin X, Patil S, Gao Y-G, Qian A. The bone extracellular matrix in bone formation and regeneration. Front Pharmacol. 2020;11:757. Jablonská E, Horkavcová D, Rohanová D, Brauer DS. A review of in vitro cell culture testing methods for bioactive glasses and other biomaterials for hard tissue regeneration. J Mater Chem B. 2020;8(48):10941–53. Fattahi T, Mohan M, Caldwell GT. Clinical applications of fibrin sealants. J Oral Maxillofac Surg. 2004;62(2):218–24. Liu G, Lin J, Chen X, Liu R. Gingival Fibroblast Suppress the Osteogenesis Process Mediated by Bone Substitute Materials via WNT/β-catenin Signaling Pathway in vitro and in vivo. Front Bioeng Biotechnol. 2025;13:1521134. Ghuman MS, Al-Masri M, Xavier G, Cobourne MT, McKay IJ, Hughes FJ. Gingival fibroblasts prevent BMP‐mediated osteoblastic differentiation. J Periodontal Res. 2019;54(3):300–9. Souza JGS, Bertolini M, Thompson A, Barão VAR, Dongari-Bagtzoglou A. Biofilm interactions of Candida albicans and mitis group streptococci in a titanium-mucosal interface model. Appl Environ Microbiol. 2020;86(9):e02950–19. Valente NA, Andreana S. Peri-implant disease: what we know and what we need to know. J periodontal implant Sci. 2016;46(3):136–51. Marriott I, Gray DL, Tranguch SL, Fowler VG Jr, Stryjewski M, Levin LS, et al. Osteoblasts express the inflammatory cytokine interleukin-6 in a murine model of Staphylococcus aureus osteomyelitis and infected human bone tissue. Am J Pathol. 2004;164(4):1399–406. Dapunt U, Giese T, Stegmaier S, Moghaddam A, Hänsch GM. The osteoblast as an inflammatory cell: production of cytokines in response to bacteria and components of bacterial biofilms. BMC Musculoskelet Disord. 2016;17:1–9. Terashima A, Takayanagi H, editors. The role of bone cells in immune regulation during the course of infection. Seminars in Immunopathology. Springer; 2019. Ghassib I, Chen Z, Zhu J, Wang HL. Use of IL-1 β, IL‐6, TNF‐α, and MMP‐8 biomarkers to distinguish peri‐implant diseases: a systematic review and meta‐analysis. Clin Implant Dent Relat Res. 2019;21(1):190–207. Wu X, Qiao S, Wang W, Zhang Y, Shi J, Zhang X, et al. Melatonin prevents peri–implantitis via suppression of TLR4/NF-κB. Acta Biomater. 2021;134:325–36. Additional Declarations No competing interests reported. Supplementary Files SuppMarjanParizi.docx Cite Share Download PDF Status: Published Journal Publication published 14 Jan, 2026 Read the published version in BMC Oral Health → Version 1 posted Editorial decision: Revision requested 25 Jun, 2025 Reviews received at journal 24 Jun, 2025 Reviewers agreed at journal 01 Jun, 2025 Reviews received at journal 13 May, 2025 Reviewers agreed at journal 13 May, 2025 Reviewers invited by journal 13 May, 2025 Editor assigned by journal 07 May, 2025 Submission checks completed at journal 07 May, 2025 First submitted to journal 30 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6565129","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":456383943,"identity":"362c08d5-4412-4b32-8052-46de273e612e","order_by":0,"name":"Behnaz Malekahmadi","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Behnaz","middleName":"","lastName":"Malekahmadi","suffix":""},{"id":456383944,"identity":"131d88c3-ccec-4191-9d51-504ad0e514a0","order_by":1,"name":"Marjan Kheirmand-Parizi","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Marjan","middleName":"","lastName":"Kheirmand-Parizi","suffix":""},{"id":456383945,"identity":"bdde1e27-e21b-484f-88a1-cb4eba1f26bb","order_by":2,"name":"Carina Mikolai","email":"data:image/png;base64,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","orcid":"","institution":"Hannover Medical School","correspondingAuthor":true,"prefix":"","firstName":"Carina","middleName":"","lastName":"Mikolai","suffix":""},{"id":456383946,"identity":"89beab86-d279-4c73-b71b-a88b24c5d90b","order_by":3,"name":"Andreas Winkel","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Andreas","middleName":"","lastName":"Winkel","suffix":""},{"id":456383947,"identity":"b36faff1-66e6-47e7-874a-2cb9bd9866c5","order_by":4,"name":"Muhammad Imran Rahim","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Muhammad","middleName":"Imran","lastName":"Rahim","suffix":""},{"id":456383948,"identity":"7969167b-00db-42d3-84a9-7b774f4c4efd","order_by":5,"name":"Katharina Doll-Nikutta","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Katharina","middleName":"","lastName":"Doll-Nikutta","suffix":""},{"id":456383949,"identity":"5d030f58-05aa-4f86-981b-5bed7e1848fd","order_by":6,"name":"Andreas Kampmann","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Andreas","middleName":"","lastName":"Kampmann","suffix":""},{"id":456383950,"identity":"44a74283-3585-4130-9583-98c5fd7cd846","order_by":7,"name":"Nils-Claudius Gellrich","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Nils-Claudius","middleName":"","lastName":"Gellrich","suffix":""},{"id":456383951,"identity":"f3154ba6-7ae6-4989-82e1-931698b62c54","order_by":8,"name":"Dagmar Wirth","email":"","orcid":"","institution":"Helmholtz Centre for Infection Research","correspondingAuthor":false,"prefix":"","firstName":"Dagmar","middleName":"","lastName":"Wirth","suffix":""},{"id":456383952,"identity":"c070e1b5-2d5c-46c3-a523-726b3e447222","order_by":9,"name":"Henning Menzel","email":"","orcid":"","institution":"Braunschweig University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Henning","middleName":"","lastName":"Menzel","suffix":""},{"id":456383953,"identity":"07f8119f-e824-4b2f-bd77-1345db654829","order_by":10,"name":"Meike Stiesch","email":"","orcid":"","institution":"Hannover Medical School","correspondingAuthor":false,"prefix":"","firstName":"Meike","middleName":"","lastName":"Stiesch","suffix":""}],"badges":[],"createdAt":"2025-04-30 13:01:56","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6565129/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6565129/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12903-025-06930-2","type":"published","date":"2026-01-14T16:28:49+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":82808703,"identity":"9f7d8ad0-cb76-454c-b44c-45a3f9f07b96","added_by":"auto","created_at":"2025-05-15 12:56:59","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":204939,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eBiological evaluation and comparison of PS, PCL and HA/TCP scaffolds. \u003c/strong\u003e(A) Cell viability, growth and mineralization on thin PS and PCL scaffolds. Live/dead images of NHOst cells on scaffolds were taken at day 1 after seeding. Light microscopy images (25x) and photographs of ARS staining were taken after 17 days of osteogenic cultivation. Scale bars represent 100 µm. (B) Photograph of unmodified thick HA/TCP scaffold (10×5mm) and live/dead fluorescent images showing cell viability and penetration level one day after cell seeding. Images were taken from top, bottom and the middle by cutting the scaffolds perpendicularly. Scale bars represent 100 µm. (C) Comparison of cell seeding efficiency (CSE) between scaffolds one day after cell seeding. Data shown are representative of n=2 independent experiments.\u003c/p\u003e","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/310bc9c121a1aee426248eaa.png"},{"id":82807618,"identity":"2e288966-94c2-4e7f-9cfc-b1d6ad2b9914","added_by":"auto","created_at":"2025-05-15 12:48:59","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":56678,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eExperimental design and HA/TCP scaffold adjustment to cultivate the 3D in vitro bone-implant model. \u003c/strong\u003e(A) Drill guide used for preparation of implant insertion area using a 2.5mm round end taper dental bar. (B) Schematic illustration of experimental setting including timeline (created with BioRender.com)\u003c/p\u003e","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/a72af494dca2603a207fa1d8.png"},{"id":82807620,"identity":"65fa95f2-9c9a-470d-b53a-f8038078c878","added_by":"auto","created_at":"2025-05-15 12:48:59","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":187215,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eCell growth and viability on scaffolds (during 3D in vitro bone-implant model development). \u003c/strong\u003e(A, B) Live/dead images of NHOst cells on HA/TCP scaffolds at day 1 (A) and day 17 (B) after seeding. Images were taken on the top of the scaffold and in the middle by cutting the scaffolds perpendicularly. Scaffold surface was visualized using reflection in CLSM. Live cells, green; Dead cells, red; scaffold surface, grey. Data shown are representative of n= 6 independent experiments. Scale bars represent 200 µm.\u003c/p\u003e","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/c2f36b865ed08b237f3f5e38.png"},{"id":82807622,"identity":"58fdf781-5813-4984-b291-26b17303b064","added_by":"auto","created_at":"2025-05-15 12:48:59","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":155084,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eEvaluation of osteoblastic phenotype on seeded scaffolds after 17 days of cultivation in 3D in vitro bone-implant model. \u003c/strong\u003e(A) Immunofluorescence images for collagen type 1 formation and F-actin (representation of the cell cytoskeleton). Col 1, green; F-actin, red; scaffold surface, grey. Images were taken on the top of the scaffold and in the middle by cutting the scaffolds perpendicularly. Scaffold surface was visualized using reflection in CLSM. Data shown are representative of n= 4 independent experiments. Scale bars represent 150 µm. (B) Quantification of Alizarin red S staining in scaffolds without cells and seeded scaffolds with normal human osteoblasts after 17 days cultivation. Data shown are representative of n= 3 independent experiments. Values are presented as mean ± SD. Stars indicate a statistically significant increase compared to the control (scaffold without cells) with p ≤ 0.05.\u003c/p\u003e","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/cb373752f0957ad3ba7d712f.png"},{"id":82807625,"identity":"981c8165-6432-4737-94f6-3646e0987af1","added_by":"auto","created_at":"2025-05-15 12:48:59","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":327333,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eExperimental design and histological sections of 3D in vitro peri-implant bone-mucosa composite model. \u003c/strong\u003e(A) Schematic illustration of experimental setting for 3D composite model (created with BioRender.com). (B) Van Gieson stained histological sections of the 3D composite model at 2, 7, and 14 days of static cultivation following the merging of soft and hard tissue. 1.25× = overview of complete model including soft tissue, implant and hard tissue; 10× = soft tissue, implant, hard tissue and their interfaces in higher magnification; 20× = hard tissue region. Arrows indicate the osteoblasts imbedded in secreted matrices. Data shown are representative of n=3 independent experiments.\u003c/p\u003e","description":"","filename":"Onlinefloatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/4f4f956949458efaea08af1f.png"},{"id":82808870,"identity":"61ff6574-50d5-4faf-8f2e-a26ec618fefe","added_by":"auto","created_at":"2025-05-15 13:04:59","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":134482,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eCell growth and viability of NHOst cells on scaffolds at 2, 7 and 14 days of static cultivation in 3D in vitro peri-implant bone-mucosa composite model. \u003c/strong\u003eImages were taken from the middle of the scaffold by cutting the composite model perpendicularly. Scaffold surface was visualized using reflection in CLSM. Live cells, green; Dead cells, red; scaffold surface, grey. Data shown are representative of n= 3 independent experiments. Scale bars represent 100 µm.\u003c/p\u003e","description":"","filename":"Onlinefloatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/e506b34cdf81afe2e0cd99dd.png"},{"id":82807630,"identity":"675393d3-bc5d-4ffe-96ab-e76e183f6460","added_by":"auto","created_at":"2025-05-15 12:48:59","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":193324,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eEvaluation of osteoblastic phenotype on seeded scaffolds at 2, 7 and 14 days of static cultivation in 3D in vitroperi-implant bone-mucosa composite model. \u003c/strong\u003eImmunofluorescence images for collagen type 1 formation and cell cytoskeleton. Col 1, green; F-actin, red; scaffold surface, grey. Images were taken from middle of scaffold by cutting the composite model perpendicularly. Scaffold surface was visualized using reflection in CLSM. Data shown are representative of n= 3 independent experiments. Scale bars represent 100 µm.\u003c/p\u003e","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/03e42696f655b04747d848b9.png"},{"id":82808705,"identity":"e89daff0-ee1f-49dc-a3aa-789db1f2bd80","added_by":"auto","created_at":"2025-05-15 12:56:59","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":216478,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eIntegration and characterization of MSBF in co-culture model of 3D in vitro peri-implant bone-mucosa-biofilm composite model. \u003c/strong\u003e(A) Schematic illustration of co-culture model with integration of MSBF (created with BioRender.com). (B) Representative 3D-reconstructed CLSM images of biofilms after 24 hours co-cultivation with a 14-day-old 3D composite model. Viable bacteria are shown in green and dead bacteria in red. Data shown are representative of n= 1 experiment. Scale bars represent 10 µm. (C) Van Gieson stained histological sections of 3D composite model following co-cultivation with MSBF for 24 hours; Left (2.5x) = overview; middle (10x) = mucosa part and mucosa/implant interface; right (20x) = bone/mucosa interface. Dashed lines show the implant-tissue border.\u003c/p\u003e","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/d2f5b413f6afa8e54210a12c.png"},{"id":100614491,"identity":"55b6297d-0f38-413f-8d8f-7f5a8e53ba24","added_by":"auto","created_at":"2026-01-19 17:20:42","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3343963,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/5c62b6c9-6576-475b-87ea-cefc14e27cdb.pdf"},{"id":82807635,"identity":"1c9140fa-d48c-4688-9c97-8b9ce607ae7b","added_by":"auto","created_at":"2025-05-15 12:49:00","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":3638688,"visible":true,"origin":"","legend":"","description":"","filename":"SuppMarjanParizi.docx","url":"https://assets-eu.researchsquare.com/files/rs-6565129/v1/49f52f65df2706305fddb2c5.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model","fulltext":[{"header":"Background","content":"\u003cp\u003eDental implants are widely used to replace missing teeth, offering a durable solution that restores both function and aesthetics of the natural tooth (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). The success and longevity of dental implants depend on several factors, including complete osseointegration, the formation of a protective soft tissue seal and the absence of infection (\u003cspan additionalcitationids=\"CR3 CR4\" citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). Infections trigger inflammation, which leads to tissue destruction of soft tissue as observed for peri-implant mucositis and additional bone loss in case of peri-implantitis, which in turn facilitates the further penetration of bacteria into the tissue (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Therefore, ensuring a sufficient soft tissue seal around implants represents an essential part in protecting the underlying tissues and preventing bacterial infections (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). Considering the complex interactions among soft tissue, hard tissue, implant material and bacteria is crucial not only for studying peri-implant disease development but also when evaluating innovative implant modifications and novel therapeutic strategies (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe evaluation of such strategies for implant dentistry in order to reduce implant-related complications has traditionally relied on either two-dimensional (2D) \u003cem\u003ein vitro\u003c/em\u003e models or animal models (\u003cspan additionalcitationids=\"CR10\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). Although 2D models are reproducible, cost-effective, and suitable for assessing individual parameters, they fail to reflect the complexity of clinical situations, often leading to cellular responses that deviate from observations \u003cem\u003ein vivo\u003c/em\u003e (\u003cspan additionalcitationids=\"CR13\" citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e). Cells grown in 3D, like in natural tissues or cells cultivated in monolayers, like on cell culture plastic, exhibit differences that are well described. For instance, osteoblasts can undergo changes in their gene expression and cytoskeleton structure as a result of different physical environments (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e). Additionally, monoculture models often overlook the complex interactions between various cell types, limiting their relevance to complex clinical settings (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e). Preclinical animal models are well established to address these limitations, but they raise ethical concerns, demand considerable time and resources and present interspecies differences in molecular and physiological conditions that may mislead interpretation of the results (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). Recent advances and mandatory considerations of 3R principles (replacement, reduction and refinement) have promoted the development of alternative physiologically relevant 3D \u003cem\u003ein vitro\u003c/em\u003e models to better understand the complex interactions between different cell types with modified implant surfaces and to translate new findings into \u003cem\u003ein vivo\u003c/em\u003e applications more effectively (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e). These 3D \u003cem\u003ein vitro\u003c/em\u003e models can more accurately replicate the native tissue's structural and functional features by improving cell-to-cell and cell-to-matrix interactions, enhanced nutrient and oxygen diffusion, mimicking tissue architecture and supporting a more accurate physiological environment compared to traditional 2D cultures (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eRecently, 3D \u003cem\u003ein vitro\u003c/em\u003e models have been created to mimic physiological processes involved in dental implant treatment (\u003cspan additionalcitationids=\"CR21\" citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e). These 3D models were developed to investigate either soft tissue-implant interaction or hard tissue-implant interactions (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). Some studies have also incorporated bacteria to assess the interactions between the implant, soft tissue, and bacterial infection (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan additionalcitationids=\"CR23\" citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e). However, so far no study has combined all these factors\u0026mdash;soft tissue, hard tissue and implant\u0026mdash; nor has any incorporated all of these together with bacteria to closely resemble the clinical situation. Moreover, an accurate evaluation especially of processes connected to peri-implantitis should require the inclusion of bone tissue in implant models. Therefore, the aim of this study was to develop a 3D \u003cem\u003ein vitro\u003c/em\u003e peri-implant bone-mucosa model serving as platform for future investigations to assess the interactions of modified implant surfaces/biomaterials within both soft and hard tissue. Furthermore, by co-culturing the model with bacterial biofilms, the development and treatment of peri-implant diseases in a clinically relevant setting can be studied. For this purpose, in a first step a 3D \u003cem\u003ein vitro\u003c/em\u003e bone-implant model was established and quantitatively and qualitatively analyzed to assess bone-like tissue formation. This scaffold-based hard tissue was then merged with our previously developed oral mucosa model (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e), creating a comprehensive 3D peri-implant bone-mucosa system. Microscopic and histological evaluations were performed to assess its ability to replicate native tissue structures in terms of phenotypic characteristics, histology and expression of osteoblastic phenotype. By combining both bone and mucosal tissues, this model is the first to successfully integrate both environments surrounding a dental implant. Furthermore, this model was exemplarily used to integrate an oral multispecies biofilm (MSBF), creating a complex 3D co-culture system including soft and hard tissue as well as biofilm and implant, which can be used in future studies of infections in a setting similar to the clinical situation.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eCell culture, media and reagents\u003c/h2\u003e \u003cp\u003eNormal Human Osteoblasts (NHOst, CC-2538, Lonza) were cultured in Alpha Minimum Essential Medium (αMEM, P04-21250, Lonza) supplemented with 12% fetal bovine serum (FBS, P30-3306, PAN-Biotech GmbH) and 1% penicillin/streptomycin (P/S, P0781, Sigma-Aldrich). Human gingival fibroblasts (HGFs, 1210412, Provitro GmbH) were cultured in Dulbecco's modified Eagle's medium (DMEM, P04-04500, PAN-Biotech GmbH) with 10% FBS and 1% P/S. Keratinocyte Serum-Free medium (KerSFM, 10725-018, Gibco Life Technologies) supplemented with 0.2 ng/ml human recombinant epithelial growth factor (EGF, 10450-013, Gibco Life Technologies), 25 \u0026micro;g/ml bovine pituitary extract (BPE, 13028-014, Gibco Life Technologies), 0.3 mM calcium chloride (CaCl2, C-34006, PromoCell) and 1% P/S was used to cultivate immortalized human oral keratinocytes (OKF6/TERT-2) (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e). All three cell types were grown under a humidified environment at 37\u0026deg;C with 5% CO\u003csub\u003e2\u003c/sub\u003e. Once the cells reached 70\u0026ndash;80% confluence, NHOst cells were detached using Accutase\u0026reg; solution (A6964, Sigma-Aldrich), while HGF and OKF6 cells were detached with trypsin/EDTA (P10-020100, PAN Biotech). In all experiments, NHOst cells were used at passages 6\u0026ndash;8, HGF cells at passage 8\u0026ndash;10 and the OKF6 cell line at passages 25\u0026ndash;35.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eScaffold selection\u003c/h3\u003e\n\u003cp\u003eThree different types of scaffolds with the following features (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) were purchased commercially and used initially without any modifications. Scaffolds were examined and compared for cell seeding efficiency (CSE), cell viability and cell growth. In 24-well-plates different numbers of NHOst (PS: 2.12 \u0026times;10\u003csup\u003e5\u003c/sup\u003e cells, PCL: 3.92 \u0026times;10\u003csup\u003e5\u003c/sup\u003e cells, HA/TCP: 1 \u0026times;10\u003csup\u003e6\u003c/sup\u003e cells) were statically seeded on the top of the scaffolds by dropping (five separate drops). Cell seeding densities on PCL and PS scaffolds were selected according to the manufacturer's protocol, based on the 3D growth surface area. The CSE was calculated after 24 hours of incubation according to the formula: CSE (%)\u0026thinsp;=\u0026thinsp;1- ((cells left in the well\u0026thinsp;+\u0026thinsp;non adherent cells) / cells seeded on scaffold) \u0026times; 100. Live/dead staining of cells on scaffolds was performed one day after seeding. Osteoinductive medium containing αMEM medium supplemented with 12% FCS, 1% P/S, 0.1 mM Ascorbate (Sigma-Aldrich, Merck KGaA), 5 mM β-Glycerophosphat (Sigma-Aldrich), 10 nM Dexamethason (Sigma-Aldrich) was added at day 3 and was refreshed every 2\u0026ndash;3 days in the following 14 days of cultivation to evaluate mineralization capacity of NHOst on PS and PCL scaffolds. Detailed explanations of analytical methods are provided in the following sections.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGeneral characteristics of scaffolds\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eType of scaffold\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMaterial\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSize\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eCompany\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3D Biotek 3D Insert\u0026trade; PS scaffold\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePolystyrene\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24-well compatible, Thickness 0.6mm\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePS152024-12, 3D-Biotek, LLC.-, New Jersey, USA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3D Biotek PCL scaffold inserts\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePolycaprolactone\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24-well compatible, Thickness 1.6mm,\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePCL303024-BR, 3D-Biotek, LLC.-, New Jersey, USA\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eReproBone discs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e60% Hydroxyapatite, 40% β-Tricalcium phosphate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10 mm diameter, 5/2 mm height\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10RB10D2, Ceramisys, Ltd., Sheffield, UK\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eScaffold preparation\u003c/h3\u003e\n\u003cp\u003eBased on the findings in the initial experiments, ReproBone discs (synthetic resorbable bone graft substitute, HA/TCP) were selected for the further development of a 3D bone-implant model. The size of scaffolds was customly adjusted by the company to 10 mm in diameter and 2 mm in height. In order to increase nutrient supply within scaffolds as well as preparing the implant insertion site, a perpendicular hole in the center of each scaffold was drilled using a 2.5 mm round end taper dental bar (ZR6856.314, Komet Dental. Gebr. Brasseler GmbH) with 200,000 rpm/min speed. To increase the precision of this preparation, a drill guide was produced in-house. Additionally, 5\u0026ndash;6 small perforations were created in the remaining scaffold ring with insulin syringes 0.5 ml (0.30 mm \u0026times; 8 mm, BD Micro-Fine, Becton, Dickinson and company) to further improve medium circulation and cell distribution. Loose fragments were removed by washing scaffolds twice with cell culture medium. Each side of scaffolds was sterilized using UV light (Uv-C disinfection box, Philips, 135W) for 15 minutes.\u003c/p\u003e \u003cp\u003e \u003cb\u003eAssembly of a 3D\u003c/b\u003e \u003cb\u003ein vitro\u003c/b\u003e \u003cb\u003ebone-implant model\u003c/b\u003e\u003c/p\u003e \u003cp\u003eScaffolds were soaked in αMEM medium for 24 hours prior to seeding. Afterwards, scaffolds were placed into 12 well plates with the bottom covered by a layer of parafilm. A density of 0.8\u0026ndash;1.5 \u0026times; 10\u003csup\u003e6\u003c/sup\u003e cells/scaffold in 30 \u0026micro;l αMEM medium was seeded on each scaffold (15 \u0026micro;l each top and bottom). The cells were allowed to adhere at 37\u0026deg;C in 5% CO\u003csub\u003e2\u003c/sub\u003e while avoiding plates\u0026rsquo; agitation. After two hours, the scaffolds were transferred into a 6 well plate, submerged with 4 ml αMEM medium and cultured overnight under static conditions. After 24 hours, scaffolds were transferred into cell culture inserts (0.45 \u0026micro;m Millicell, 30mm diameter, Merck Milipore Ltd), which were primarily perforated. The inserts were placed in 6-well plates and filled with medium in- and outside to cover the scaffolds. After two days, the medium was changed to osteoinductive medium, changing it every 2\u0026ndash;3 days. After 14 days, scaffolds were placed into a 6 well plate and a sterile titanium cylinder (machined surface, grade 4, 3 mm diameter, 2.3 mm height) was gently inserted. These constructs were further incubated for 48 hours under static culture conditions in 4 ml of osteogenic medium.\u003c/p\u003e \u003cp\u003e \u003cb\u003eAssembly of a 3D\u003c/b\u003e \u003cb\u003ein vitro\u003c/b\u003e \u003cb\u003eperi-implant bone-mucosa composite model\u003c/b\u003e\u003c/p\u003e \u003cp\u003eThe assembly of the peri-implant mucosa model followed the previously established protocol (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). Briefly, HGFs (4 x 10⁵ cells/model) (121 0412, Provitro GmbH) were embedded in a collagen type-I hydrogel mix (2 mg/mL bovine collagen type-I (PureCol\u0026reg;, 5005-100ML, Advance Biomatrix) supplemented with FBS, L-glutamine (G7513, Sigma-Aldrich), 10 x DMEM (P03-01510, Pan-Biotech) and reconstitution buffer (2 mg/mL sodium bicarbonate, 2 mM HEPES and 0.0062 N NaOH)). After 4 days of cultivation, a titanium cylinder (machined surface, grade 4, 3 mm in diameter, 4.3 mm in height) pre-colonized in upper section with HGFs was integrated into the HGF-hydrogel. For this purpose, the HGF-hydrogel and the membrane of the culture insert below were punched using a 2.5 mm diameter biopsy punch. The titanium cylinder was inserted in the HGF-hydrogel and through the membrane of the culture insert, with approximately 2 mm of its height (non-pre-colonized part) extending below the insert. The remaining procedure followed the previously described protocol, with OKF6 cells seeded on top of the gel. The tissues were subsequently placed at an air-liquid interface and cultivated with airlift medium (3:1 DMEM (P04-03591, Pan-Biotech) and Ham's F-12 (P04-14559, Pan-Biotech), supplemented with 5 \u0026micro;g/mL insulin, 0.4 \u0026micro;g/mL hydrocortisone, 2 \u0026times; 10\u003csup\u003e\u0026minus;\u0026thinsp;11\u003c/sup\u003e M 5-triiodo-L-thyronine, 8 x 10\u003csup\u003e\u0026minus;\u0026thinsp;5\u003c/sup\u003e M adenine, 5 \u0026micro;g/mL transferrin, 10\u003csup\u003e\u0026minus;\u0026thinsp;10\u003c/sup\u003e M cholera toxin, 2 mM L-glutamine, 10% FBS, 1% P/S) for an additional two weeks to stimulate the epithelial differentiation and stratification. In parallel, the 3D bone model was constructed and cultivated for 23 days as described in assembly of bone model section, except without implant insertion.\u003c/p\u003e \u003cp\u003eOn day 24, after completing the development of both models (3D peri-implant mucosa model, 3D bone model) separately, they were merged to create the 3D peri-implant bone-mucosa composite model. For this purpose, the soft tissues were carefully loosened from the inserts using a pipette tip to preserve their integrity and structure. Next, the culture insert's porous membrane was precisely cut using a scalpel (Scalpel 21, Feather). Simultaneously, as the membrane was removed, the mucosa surrounding the implant was gently positioned onto the matured bone model, ensuring that the titanium lined up with the central hole of the scaffold creating a 3D peri-implant bone-mucosa model. After merging, the models were individually placed in 6-well plates with 1 ml of airlift medium in each well. These models were then maintained under static cultivation for 2, 7 and 14 days, with the medium refreshed every 2 to 3 days.\u003c/p\u003e \u003cp\u003e \u003cb\u003eAssembly of a 3D\u003c/b\u003e \u003cb\u003ein vitro\u003c/b\u003e \u003cb\u003eperi-implant bone-mucosa-biofilm composite model\u003c/b\u003e\u003c/p\u003e \u003cp\u003eAn oral multispecies biofilm (MSBF) consisting of \u003cem\u003eStreptococcus oralis\u003c/em\u003e (ATCC\u0026reg; 9811TM, American Type Culture Collection ATCC), \u003cem\u003eActinomyces naeslundii\u003c/em\u003e (DSM 43013, German Collection of Microorganisms and Cell Cultures), \u003cem\u003eVeillonella dispar\u003c/em\u003e (DSM 20735) and \u003cem\u003ePorphyromonas gingivalis\u003c/em\u003e (DSM 20709) was integrated into the 3D peri-implant bone-mucosa model as previously described (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e). Briefly, the four bacterial species were pre-cultured at 37\u0026deg;C under anaerobic conditions (80% N₂; 10% H₂; 10% CO₂) in brain heart infusion (BHI) medium (CM1135B, Oxoid), supplemented with 10 \u0026micro;g/mL vitamin K. The bacterial pre-cultures were mixed equally in BHI/vitamin K to achieve a final optical density (600 nm) of 0.01 for each species. The MSBFs were cultivated on glass cover slips (18 mm in diameter, 1 mm in thickness, Thermo Scientific Menzel) in 12-well plates for 24 hours under anaerobic conditions (less than 0.1% O\u003csub\u003e2\u003c/sub\u003e, 7\u0026ndash;15% CO\u003csub\u003e2\u003c/sub\u003e) at 37\u0026deg;C.\u003c/p\u003e \u003cp\u003eAfter the assembly of the 3D peri-implant bone-mucosa model and cultivation for 14 days, MSBF was placed with biofilm side on spacers and on the integrated titanium cylinder of the peri-implant bone-mucosa model, as previously described (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). The co-culture model was then submerged cultivated in co-culture medium (airlift medium without P/S and supplemented with 10% BHI/vitamin K) for 24 hours under a humidified environment at 37\u0026deg;C with 5% CO\u003csub\u003e2\u003c/sub\u003e.\u003c/p\u003e\n\u003ch3\u003eLive/dead fluorescence staining and microscopy\u003c/h3\u003e\n\u003cp\u003eCell adhesion and viability on scaffolds were assessed after 1 day of cell seeding using a live/dead fluorescence staining. A similar evaluation was conducted after 17 days of cultivation in bone-implant model and also 2, 7 and 14 days after constructing the 3D peri-implant bone-mucosa model. A mixture of propidium iodide (P4864, Sigma-Aldrich) and Calcein AM (C3099, Thermo Fisher Scientific Inc.), each diluted 1:1000 in sterile PBS, was used to stain the cells in the scaffolds. The medium from each well was collected, replaced with 4 mL of the live/dead staining solution and further incubated for 30 minutes at 37\u0026deg;C in a humidified environment with 5% CO\u003csub\u003e2\u003c/sub\u003e. All the staining procedure was protected from light. Subsequently, the staining solution was replaced with PBS to enable microscopic examination using confocal laser scanning microscopy (CLSM; Leica TCS SP8, Leica Microsystems). Images were taken using lasers with 488 nm and 552 nm wavelength. Reflection mode (405 nm) was used to observe scaffolds\u0026rsquo; surface. After examination of cells on the scaffolds\u0026rsquo; top surface in the bone-implant model, scaffolds were perpendicularly cut using disposable scalpels (No.11, Feather safety razor Co., Osaka, Japan) and turned 90\u0026deg; to visualize cell viability inside the scaffolds. The same cutting procedure was applied to the peri-implant bone-mucosa model. Three-dimensional image reconstruction was done using the Imaris x64 8.4 software package (Bitplane AG).\u003c/p\u003e\n\u003ch3\u003eCollagen 1 immunofluorescent staining and microscopy\u003c/h3\u003e\n\u003cp\u003eAt the endpoint of the bone-implant model (17 days) and after 2, 7 and 14 days of cultivation in the peri-implant bone-mucosa model, samples were fixed using 4% paraformaldehyde (PFA, 0335.2, Carl Roth GmbH) for 20 minutes at room temperature. Samples were permeabilized with 0.1% Triton X-100 (T9284, Sigma-Aldrich) in phosphate-buffered saline (PBS, D8537, Sigma-Aldrich) for 10 minutes at room temperature. After rinsing, the samples were blocked with 2% bovine serum albumin (BSA, A9418, Sigma-Aldrich) in PBS for 30 minutes at 37\u0026deg;C to prevent nonspecific binding. Scaffolds were further incubated with the Collagen Type I Polyclonal primary antibody (Col-I, 1:2000, 14695-1-AP, Proteintech) for 2 hours at 37\u0026deg;C or overnight at 4\u0026deg;C. After washing four times with PBS, the samples were incubated for 1 hour at room temperature or 30 minutes at 37\u0026deg;C with the secondary antibody conjugated to DyLight\u0026reg; 488 (Goat Anti-Rabbit IgG H\u0026amp;L, 1:200, ab96883, Abcam). After washing four more times, Phalloidin\u0026ndash;TRITC (1:500, P1951, Sigma-Aldrich) was used to visualize filamentous actin (F-actin). This counterstaining step lasted for 30 minutes at room temperature. The samples were again washed four times with PBS and CLSM was performed immediately (lasers with 405 nm, 488 nm and 552 nm wavelengths). Cell observation on the top and middle of the bone-implant model, as well as the middle of the bone part in peri-implant bone-mucosa model, was performed as described in \u0026ldquo;Live/dead fluorescence staining and microscopy\u0026rdquo; section. The Imaris software was used for 3D reconstruction of stained specimens.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eAlizarin Red S Staining (ARS) and quantification\u003c/h2\u003e \u003cp\u003eAfter 17 days of cultivation, 3D bone-implant models were fixed using 4% paraformaldehyde for a duration of 20 minutes at room temperature while shaking on an orbital shaker (Titramax 100, Heidolph GmbH). The bone models were immersed with 2% alizarin red staining solution (ARS, A5533, Sigma-Aldrich) for 30 minutes at room temperature in the dark while shaking. To measure the extent of mineralization, the ARS dye was extracted from the samples by submerging them in a mixture of 10% acetic acid (Carl Roth GmbH) and 20% methanol (JT Baker) at room temperature for 30 minutes while shaking. Subsequently, the absorbance was determined at 405 nm wavelength using a plate reader (Tecan, Infinite M200Pro). To ensure the accuracy of the matrix mineralization analysis, a control group of unseeded scaffolds was included, which was incubated in osteogenic medium in parallel with the experimental samples.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eHistological examination\u003c/h3\u003e\n\u003cp\u003eThe samples were fixed for at least 24 hours in 4% buffered formalin solution at room temperature. Samples were dehydrated using an ethanol gradient (50%, 70%, 96%) and then infiltrated with Technovit 9100 resin solution (Kulzer GmbH). Polymerization of the samples was performed using fresh Technovit 9100 resin in embedding molds. Sectioning, grinding and Elastica Van Gieson staining were performed at either MORPHISTO GmbH (Offenbach am Main) or LLS ROWIAK LaserLabSolutions GmbH (Hannover). Microscopic evaluation was done using Zeiss Axioskop 40 microscope (Carl Zeiss GmbH).\u003c/p\u003e\n\u003ch3\u003eMicroscopic visualization of MSBF\u003c/h3\u003e\n\u003cp\u003eMSBFs were fluorescently stained with SYTO\u0026reg;9 and propidium iodide using LIVE/DEAD\u0026reg; BacLight\u0026trade; Bacterial Viability Kit (L7012, Thermo Fisher Scientific GmbH). A 1:1000 dilution of each stain was prepared in PBS and administered to the samples for 30 minutes of incubation in the absence of light. Subsequently, fixation of stained samples was applied using 2.5% glutaraldehyde solution (111-30-8, Carl Roth GmbH; diluted 1:10 with PBS). Biofilms were visualized utilizing a CLSM microscope with lasers at 488 nm and 552 nm wavelengths. The 3D reconstructions of stained MSBF were prepared using Imaris software.\u003c/p\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eStatistical analyses and graphic processing of the data were performed using the GraphPad Prism Software 8.4. Normal distribution was checked using the Kolmogorov\u0026ndash;Smirnov test. According to the results, Mann-Whitney test was used to analyze ARS staining results. A significance level of α\u0026thinsp;=\u0026thinsp;0.05 was set for all comparisons.\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e \u003ch2\u003eScaffold selection and further adjustments\u003c/h2\u003e \u003cp\u003eInitially, a comparative analysis of three commercially available scaffolds with different chemical and physical characteristics (PS, PCL, HA/TCP, Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) was performed in order to identify the optimal scaffold that aligned with our objectives. We observed that cells seeded statically in drops on PS and PCL scaffolds attach and remain mainly at application site without spreading even after growth for longer cultivation periods. Accordingly, ARS staining visualizes a drop-related pattern of mineralization on PS and PCL scaffolds (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA). While cell distribution and growth were limited in PS and PCL scaffolds, HA/TCP scaffolds exhibited further distribution of cells on the scaffold surface and in open cavities (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB). Despite these differences, all three scaffolds demonstrated good cell viability in live/dead fluorescence staining (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA, B). However, due to the thin structure of PS and PCL scaffolds, CLSM imaging could effectively capture cell viability across the depth, whereas for HA/TCP scaffolds, additional imaging from the middle and bottom was required to assess cell viability and penetration. Cell penetration within the HA/TCP scaffold in the dimension of 10\u0026times;5 mm was limited in this initial analysis, resulting in minimal cell presence within the middle and bottom of the scaffold (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB). Nevertheless, HA/TCP scaffolds displayed with 99.4% a much better seeding efficiency when compared to PS and PCL scaffolds with a CSE of 58% and 42.5%, respectively (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC). Based on the more uniform distribution and increased CSE as well as a high compliance with actual bone material regarding chemical composition and mechanical characteristics, we decided to proceed with HA/TCP scaffolds to develop a 3D \u003cem\u003ein vitro\u003c/em\u003e bone-implant model with enhanced clinical relevance. Although, a customized reduction of the HA/TCP scaffold size to 10\u0026times;2 mm improved cell distribution and penetration, this approach did not support long-term cell maintenance, as 17 days of static culture still led to reduced cell viability in both the center and surface of the scaffold (Fig. \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e). We hypothesized that cell viability was compromised by lack of nutrients, specifically in the inner compartment of the scaffold.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThus, prior to seeding of NHOst cells, 5\u0026ndash;6 perforations to open and connect closed cavities within the scaffold material were applied using a syringe. Moreover, an in-house designed and manufactured drill guide for 2.5mm round end taper dental bar was applied to enable a highly precise and reproducible placement of a gap area within the spongy but brittle material for subsequent insertion of the implant (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). During cultivation, the cell-loaded scaffolds were subjected to orbital shaking to improve nutrient, metabolite and oxygen supply. With these modifications, an optimized protocol for the assembly and analysis of 3D \u003cem\u003ein vitro\u003c/em\u003e bone-implant models could be established (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e2\u003c/span\u003eB).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003eOsteoblast viability and growth in the bone-implant model\u003c/h2\u003e \u003cp\u003eUsing the optimized protocol specified above, live/dead staining was used to determine the cell viability and growth. One day after seeding, cells exhibited good viability and elongated morphology on the surface as well as in the middle of the scaffold (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). Cells exhibited extreme high density and uniform distribution only on the scaffold's surface, while moderate cell densities were observed deeper within the scaffold material. However, a considerable fraction of cells were able to advance throughout the scaffold, particularly in interconnected cavities with direct access to the surface (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). After 17 days of dynamic cultivation, the cells on top as well as within the material displayed predominantly green fluorescence, indicating high cell viability and robust growth (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e3\u003c/span\u003eB). Although red fluorescence was slightly increased in the middle, suggesting less optimal conditions for cell survival, the overall high cell viability confirmed sufficient supply even over longer culture periods (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e3\u003c/span\u003eB). Importantly even after 23 days of cultivation no loss of viability was observed (Fig. S2). These findings confirm that the scaffold and cultivation method provided a supportive environment for cell survival and proliferation in both regions, with strong viability even in the middle of scaffold.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eExpression of osteoblastic phenotype in the bone-implant model\u003c/h2\u003e \u003cp\u003eTo assess the capacity of osteoblasts in the 3D model to form extracellular matrix, collagen type 1 immunofluorescence staining was performed. As depicted in Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003e, expression of collagen type 1 was confirmed throughout the 3D bone-implant model. While collagen distribution in the middle of the scaffold was not as uniform as on the surface, this variation is expected due to the accumulation of cells mainly around pathways with direct access to the surface (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003eA). Cell cytoskeleton stained with phalloidin showed an intact elongated morphology of cells after 17 and 23 days of osteogenic cultivation on both surface and in the middle of the scaffold (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003eA and Fig. S3). ARS staining highlighted also an increased formation of mineralized ECM over 17 days of cultivation (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003eB). Therefore, these findings confirmed the sustained expression of phenotypic characteristics of osteoblasts with ECM mineralization and collagen expression in HA/TCP scaffolds under the applied conditions.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eAssembly and histological characterization of the peri-implant bone-mucosa model\u003c/h2\u003e \u003cp\u003eThe different steps of assembling the peri-implant bone-mucosa model, along with a schematic illustration and a photograph of the final product, are shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eA. Histological staining and analyses at all time points demonstrated a composite structure including oral mucosa tightly attached to an underlying hard tissue (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). The top layer exhibited a stratified epithelium covering collagen-embedded human gingival fibroblasts. Within 14 days of airlift cultivation this epithelium remained intact without any obvious indication of degradation or separation. The bone-mucosa interface appeared closely connected without bigger gaps or invading cells. In fact, the soft tissue even followed the topographical outline of the osteoblast-loaded scaffold indicating no rejection of the different materials and cells. In addition, the interfaces of the implant with both, soft- and hard-tissue, demonstrated no signs of invading cells (especially no apical migration of epithelium), which confirmed the sustained interaction especially of the hydrogel-imbedded fibroblasts with the implant. The pores of the scaffolds, contained osteoblasts imbedded in secreted matrices in variable amounts (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Overall, these findings demonstrate the successful assembly of the 3D peri-implant bone-mucosa model, closely resembling the oral tissue-implant structure with the predominant cell types.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eOsteoblast viability and growth in the peri-implant bone-mucosa model\u003c/h2\u003e \u003cp\u003eOsteoblast cell viability and growth within the peri-implant bone-mucosa model was assessed using live/dead staining after merging artificial mucosa and bone model for 2, 7 and 14 days. Due to the close connection of the bone-mucosa interface they could not be separated without damage. Accordingly, a simple microscopic assessment of cells on the top was no longer possible, but was limited to the state of cells in the middle of the scaffold. Cells demonstrated high density and viability even within the hard tissue indicating no adverse effects of combination with oral mucosa and cultivation in air-lift medium at any time point. (Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eExpression of osteoblastic phenotype in the peri-implant bone-mucosa model\u003c/h2\u003e \u003cp\u003eAfter 2, 7 and 14 days of cultivation in the 3D composite model, immunofluorescence staining confirmed the continued expression of collagen type 1 in the hard tissue (Fig.\u0026nbsp;\u003cspan refid=\"Fig10\" class=\"InternalRef\"\u003e7\u003c/span\u003e). The distribution of collagen was comparable to the pattern observed in the 3D bone-implant model alone. Phalloidin staining demonstrated the spread of cells within the scaffold (Fig.\u0026nbsp;\u003cspan refid=\"Fig10\" class=\"InternalRef\"\u003e7\u003c/span\u003e). Compared to the 3D bone-implant model alone, the presence of the oral mucosa or the use of air-lift medium did not interfere with collagen expression in underlying hard tissue.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eMultispecies biofilm (MSBF) integration in the peri-implant bone-mucosa model\u003c/h2\u003e \u003cp\u003eAs an outlook experiment, a MSBF was incorporated into the 3D composite model to create a co-culture system based on a 3D \u003cem\u003ein vitro\u003c/em\u003e peri-implant bone-mucosa-biofilm model, as illustrated in the schematic in Fig.\u0026nbsp;\u003cspan refid=\"Fig11\" class=\"InternalRef\"\u003e8\u003c/span\u003eA. Live/dead staining of the biofilms confirmed the successful integration of a vital biofilm into the 3D composite model using conditions established in previous studies for co-cultivation of 3D models and bacterial biofilms (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e)(Fig.\u0026nbsp;\u003cspan refid=\"Fig11\" class=\"InternalRef\"\u003e8\u003c/span\u003eB). The histological images demonstrate a continued tissue connection to implant surface, even after 24 hours of co-cultivation with MSBF (Fig.\u0026nbsp;\u003cspan refid=\"Fig11\" class=\"InternalRef\"\u003e8\u003c/span\u003eC). The epithelium was damaged and loosened showing early signs of degradation, particularly near the embedded implant. The bone\u0026ndash;mucosa interface exhibited intact and continuous contact (Fig.\u0026nbsp;\u003cspan refid=\"Fig11\" class=\"InternalRef\"\u003e8\u003c/span\u003eC)\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn the oral cavity, dental implants interact with multiple interconnected biological structures including oral mucosa, underlying bone and the surrounding microbiome. These elements influence each other contributing to peri-implant health and playing a critical role in the development of peri-implant diseases (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e). Studying these conditions or developing strategies to mitigate implant-related complications by focusing on only one factor\u0026mdash;be it soft tissue, bone, or bacteria\u0026mdash;without considering their interplay fails to capture the complexity of the clinical environment. In a similar way, relying on conventional 2D \u003cem\u003ein vitro\u003c/em\u003e models limits the clinical significance of findings since the behavior and dynamic interaction of cells is different in 3D tissue structures (15, 22). Consequently, there is a growing demand for advanced peri-implant models that closely replicate the clinical tissue-implant interface (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). Therefore, the aims of the present study were (i) to develop a 3D \u003cem\u003ein vitro\u003c/em\u003e bone-implant model and (ii) to combine this model with our previously developed 3D peri-implant mucosa model to create the most complex modular 3D \u003cem\u003ein vitro\u003c/em\u003e peri-implant bone-mucosa composite model that accurately represents the relevant factors \u003cem\u003ein vivo\u003c/em\u003e. This complex 3D composite model will provide a clinically relevant platform for studying tissue-implant interactions, evaluating modified implant surfaces/biomaterials and investigating peri-implant disease progression. To study peri-implant infections, the combination and co-cultivation of the new 3D model with oral biofilms is necessary. Therefore, we addressed the possible integration of a multispecies biofilm in the model for further applications.\u003c/p\u003e \u003cp\u003eIn order to study the osseointegration processes and implant material properties \u003cem\u003ein vitro\u003c/em\u003e, different strategies have been followed, including a tissue-on-chip model (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e), wrapping of cell-sheets around implant (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e), explant models (\u003cspan additionalcitationids=\"CR32\" citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e) and most commonly, scaffold-based models relying on materials such as hydrogels or bone blocks as scaffolds (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan additionalcitationids=\"CR35 CR36\" citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e). 3D culture systems using scaffolds offer an animal-independent approach that enables controlled, time-resolved investigation of disease development (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). Based on the published findings and applications of different scaffold materials, we focused on few promising candidates which are commercially available for our purpose (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan additionalcitationids=\"CR39\" citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e). PCL polymer has been widely utilized as a scaffold material in tissue engineering applications due to its excellent biocompatibility, low immunogenicity and optimal degradation properties (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e). Likewise, PS scaffolds, characterized by their high stiffness and non-resorbable properties, have been used as bone substitutes and supporting structures for 3D \u003cem\u003ein vitro\u003c/em\u003e cultivation (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e). HA/TCP, composed of hydroxyapatite and calcium phosphate, closely resembles the chemical composition of natural bone and is already used clinically as a bone graft substitute. Additionally, their macroscopic trabecular architecture resembles the spongy structure of cancellous bone (\u003cspan additionalcitationids=\"CR42\" citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e). Tested scaffolds used in this study\u0026mdash;PS, PCL, and HA/TCP\u0026mdash; demonstrated good cell adhesion in quantity, quality and viability, with HA/TCP scaffolds exhibiting the highest cell seeding efficiency (CSE).However, after prolonged cultivation in osteogenic medium, cells on PS and PCL scaffolds did not further distribute over the scaffold volume and remained mainly in the locations defined by the drop-seeding. In contrast, HA/TCP scaffolds exhibited superior cell distribution, growth and osteoblastic phenotype likely due to their calcium-based composition, which imparts osteoinductive properties (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e). Considering the high resemblance of natural bone structure in terms of chemical and physical properties by the HA/TCP scaffold, it was preferred for the incorporation in 3D model assembly. To improve cell penetration and viability in the center of HA/TCP scaffolds, modifications were implemented including pre-wetting scaffolds to remove air bubbles, adding a central implant hole with perforations, and reducing scaffold thickness. A similar HA/TCP scaffold was used in a previous study with 3 mm thickness to develop an engineered bone model, although cellular vitality decreased after three months of cultivation (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e). In our study, we used a 2.5 mm thick scaffold and a shorter cultivation period, which helped maintain better cellular vitality. Additionally, static cultivation can be inefficient to support cell growth beside the periphery of scaffolds due to limited diffusion of essential nutrients and oxygen, with maximum cell ingrowth within a range of 200\u0026ndash;400 \u0026micro;m from the outer surface of a scaffold (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e). Simple dynamic cultivation methods can improve cell growth and expression of osteoblastic phenotype (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e). Therefore, dynamic cultivation on an orbital shaker was implemented together with inserts and perforated membranes to enhance the flow of medium through scaffolds. After optimizing scaffold adjustment, cultivation system and seeding technique, our results demonstrated sustained cell viability and growth throughout the scaffold thickness over extended periods, highlighting the positive effects of the adjusted protocol. The presented model is in line with the results of other studies evaluating osteoblast viability on HA scaffolds and attesting its good biocompatibility (\u003cspan additionalcitationids=\"CR49\" citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e). Moreover, by using primary human osteoblasts, which more accurately reflect the physiological properties of natural tissue cells (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e), the clinical relevance of this model could be increased.\u003c/p\u003e \u003cp\u003ePrevious investigations have demonstrated that primary osteoblasts cultured in osteogenic medium within a 3D cultivation setup exhibit collagen type I (Col 1) expression, a marker of early-stage maturation, by day 7 with mineralization occurring by day 14 (\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e). Therefore, we selected a 17-day cultivation period, with 14 days dedicated to osteoblastic maturation, similar to Almela et al. (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e). In contrast, here a titanium cylinder representing a dental implant was inserted into the model and cultivated for the last two days, creating a standalone bone-implant model. This approach aimed to maintain simplicity while providing a more clinically relevant alternative to 2D cultivation methods simulating the immediate post-implant placement conditions in the oral cavity. As a consequence of cell viability, the cultivation period could be extended to 23 days, allowing for further tissue maturation before transitioning to airlift conditions and integrating with the mucosa model. Evaluation of resulting bone-like tissue formation revealed key features characteristic for extracellular matrix (ECM) of bone, including the presence of Col 1 and enhanced mineralization. Bone ECM is made up by organic (90% composed of Col 1 and 10% non-collagenous proteins) and inorganic compounds (hydroxyapatite). It modulates cell adhesion, proliferation, differentiation, bone strength and functionality of mature bone (\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e). The active production of ECM components within our 3D setting reflects the expression of osteoblastic phenotype, as it was demonstrated also in other studies using a variety of cell types and scaffold materials (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e). Overall, our results confirm the successful development of a clinically relevant, viable 3D bone-implant model with robust ECM formation and mineralization, establishing hard tissue for the subsequent integration within the anticipated 3D composite model.\u003c/p\u003e \u003cp\u003eA recent systematic review of available \u003cem\u003ein vitro\u003c/em\u003e 3D complex models in implant dentistry highlighted that typically the implant interface behavior with either bone or gingival tissue was addressed in these models, but not both (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e). In the present study, we addressed this limitation by merging our 3D bone model with our previously developed oral mucosa model with an integrated titanium implant (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). This created the first and most complex model of oral tissue, consisting of hard and soft tissue, surrounding a dental implant. Histological evaluations revealed structures with bone tissue-like, connective tissue-like and epithelium layers on top of each other arranged around the titanium implant, closely resembling the natural architecture of peri-implant tissues within the oral cavity. Similar histological observations have been reported in previous studies that developed comparable bone-oral mucosal models but without simultaneous integration of an implant (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e). Moreover, unlike previous investigations which employed a fibrin-based adhesive sealant to permanently merge hard and soft tissues (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e), our model does not rely on the additional use of an adhesive sealant. Although fibrin-based adhesive sealants can effectively hold tissues together and close gaps, they may also act as a mechanical barrier, impairing the direct interactions between tissues (\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e). Such interactions are based on physical contact within and between soft and hard tissues as well as the exchange of signaling molecules, secreted growth factors and enzymes, but also inflammatory cytokines in response to bacterial infections (\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e). Our focus for the future application of the composite model presented here will be on the investigation of peri-implant diseases and the evaluation of possible preventive and therapeutic strategies. Therefore, it was essential that the integrity of the sterile tissue structures could be maintained over a longer period of time. This primarily affects the differentiation of the epithelium, which can only be maintained in airlift with appropriate media. While similar studies have successfully cultivated bone-oral mucosal constructs for 5 days in an air/liquid interface (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e), we were able to extent this period to 14 days, without losing epithelial integrity, despite limited access to medium from below through the scaffold. In addition, a strong implant-mucosa bond plays a crucial role in mimicking a healthy peri-implant situation. In this regard, no mucosal detachment from the titanium or increased migration of epithelial cells was observed during the study period, likely due to the separate mucosa formation with an integrated implant (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e), and then careful transfer onto the pre-populated hard tissue scaffold using an extended implant serving as a stabilizing connection.Moreover, osteoblasts cell viability and osteoblastic phenotype was maintained within the peri-implant bone-mucosa model, consistent with previous studies (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e). Consequently, we were able to produce a controlled 3D environment encompassing multiple cell types which can not only coexist but have the possibility to interact dynamically, exchanging signals and influencing each other's behavior \u0026mdash; closely mimicking the physiological interplay at the implant interface.\u003c/p\u003e \u003cp\u003ePeri-implant diseases are complex multifactorial conditions involving both soft tissue and hard tissues arising from a disrupted host-microbe balance (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). Various organotypic oral tissue models, including epithelium and gingiva/mucosa, have been integrated with bacterial, fungal, or viral species to study host-microbe dynamics (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e). Some studies have also incorporated titanium implants into mucosa model to assess host-microbe interactions at peri-implant sites (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e). In this study, we exemplary integrated an oral multispecies biofilm (MSBF) into our 3D peri-implant bone-mucosa model to demonstrate the potential for simulating host-material-microbe interactions in a controlled environment, providing a robust platform for future research. This biofilm comprises four oral bacterial species, including early, middle and late colonizers, representing an early commensal biofilm on the dental implant surface, closely resembling clinical situations (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e). Notably, the biofilm remained viable after integration with the peri-implant bone-mucosa model, demonstrating its ability to sustain activity within the model and further enhancing its clinical relevance for studying the dynamic interactions between host tissues and microbial communities. Furthermore, the epithelial barrier was compromised and detached from the underlying tissue, a hallmark of peri-implant diseases, indicating disruption of the host-microbe homeostasis (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e). This may be attributed to the downregulation of adhesion-related genes, as reported in a previous study (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). However, a notable distinction here is that the epithelium damage was already observed after 24 hours of co-cultivation, whereas Mikolai et al. demonstrated a protective pro-inflammatory response in the peri-implant mucosa model and a compromised host microbe balance not before 48 hours (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). This difference may be attributed to the presence of osteoblasts, which are known to play a role in immune modulation and inflammatory response to bacterial infection. Previous studies have demonstrated that osteoblasts co-cultured with bacteria actively secrete pro-inflammatory cytokines and chemokines (\u003cspan additionalcitationids=\"CR60\" citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e). Therefore, their presence in our model may have influenced cytokine signaling, potentially accelerating the disruption of epithelial integrity, which should be addressed in subsequent studies. The mutual influence of different tissues and bacterially induced infections in complex models could also contribute to the in-depth investigation of further relationships. Pro-inflammatory cytokines such as interleukin-1β, interleukin-6, and tumor necrosis factor can impair osteogenic differentiation and promote osteoclast activation, leading to bone resorption in peri-implantitis (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e, \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e). The 3D peri-implant bone-mucosa model presented here offers the possibility of evaluating pro-inflammatory responses to biofilm infections in a system that, for the first time, considers both soft and hard tissue. The model represents the peri-implant situation shortly after implantation and provides valuable insights into the function and mutual influence of various tissue cells in both healthy and diseased states. Further studies are planned to use the model for detailed investigations in the field of host-biofilm interactions, as well as the development of innovative approaches in diagnostics, prevention and therapy.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe present study successfully established a 3D bone-implant model by seeding and differentiating primary osteoblasts on a HA/TCP scaffold, which closely mimics the chemical and physical properties of natural bone. This scaffold-based approach provides a more clinically relevant alternative to traditional 2D models. The integration of this bone model in a 3D peri-implant mucosa model led to the development of the first and most complex 3D \u003cem\u003ein vitro\u003c/em\u003e peri-implant model to date. This 3D peri-implant bone-mucosa model successfully replicates key elements of the clinical setting, including soft tissue, hard tissue, and an embedded dental implant. Notably, the insertion of the implant after bone-like tissue formation further validated its resemblance to clinical setups. Besides, the incorporation of MSBF presents a promising step toward studying pro-inflammatory responses to bacterial infections within a physiologically relevant peri-implant environment. Consequently, the new developed 3D peri-implant bone-mucosa model will enable, on the one hand, future investigations of the host-biofilm interactions to provide new knowledge about peri-implant diseases. On the other hand, it will allow the testing of new preventive and therapeutic strategies in a clinically relevant 3D \u003cem\u003ein vitro\u003c/em\u003e setting.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e2D/3D\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eTwo/ three-dimensional\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eMSBF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eMultispecies biofilm\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eCLSM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eConfocal laser scanning microscopy\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003ePS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003ePolystyrene\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003ePCL\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003ePolycaprolactone\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eHA/TCP\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eHydroxyapatite, \u0026beta;-Tricalcium phosphate\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eARS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eAlizarin red s staining\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eNHOst\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eNormal human osteoblasts\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eHGF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eHuman gingival fibroblasts\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eOKF6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eImmortalized human oral keratinocytes\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eCol 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eCollagen type-I\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eTi\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eTitanium\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eFBS\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eFetal bovine serum\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eP/S\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003ePenicillin/streptomycin\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eKerSFM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eKeratinocyte serum-free medium\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eBPE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eBovine pituitary extract\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eEGF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eEpithelial growth factor\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eCSE\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eCell seeding efficiency\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eBHI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eBrain heart infusion\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003ePFA\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eParaformaldehyde\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eECM\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 270px;\"\u003e\n \u003cp\u003eExtracellular matrix\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data generated or analyzed during this study are included in this published article [and its supplementary information files].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)\u0026ndash;SFB/TRR-298-SIIRI\u0026ndash;Project-ID 426335750. Additionally, it was supported by the Matrix Evolution project, which is funded by zukunft.niedersachsen, a funding programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026apos; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization: BM, MK-P, CM, AW, DW, HM, MS; methodology: BM, MK-P, CM, AW, KD-N, AK; validation: BM, MK-P, CM, AW, MIR, KD-N, MS; formal analysis: BM, MK-P; investigation: BM, MK-P; resources: MS; data collection: BM, MK-P; writing \u0026ndash; original draft: MK-P; writing \u0026ndash; review \u0026amp; editing: BM, MK-P, CM, AW, MIR, KD-N, AK, N-CG, DW, HM, MS; visualization: BM, MK-P; supervision: CM, MS; project administration: CM, MS; funding acquisition: CM, MS. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe sincerely thank Diana Strauch for her invaluable histological support and Richard Werth for his assistance with scaffold adjustment and drill guide fabrication.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003ePye A, Lockhart D, Dawson M, Murray C, Smith A. A review of dental implants and infection. J Hosp Infect. 2009;72(2):104\u0026ndash;10.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOh S-L, Shiau HJ, Reynolds MA. Survival of dental implants at sites after implant failure: a systematic review. J Prosthet Dent. 2020;123(1):54\u0026ndash;60.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAtsuta I, Ayukawa Y, Kondo R, Oshiro W, Matsuura Y, Furuhashi A, et al. Soft tissue sealing around dental implants based on histological interpretation. J prosthodontic Res. 2016;60(1):3\u0026ndash;11.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAdell R, Eriksson B, Lekholm U, Br\u0026aring;nemark P-I, Jemt T. A long-term follow-up study of osseointegrated implants in the treatment of totally edentulous jaws. Int J Oral Maxillofacial Implants. 1990;5(4).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBranemark P-I. Osseointegration and its experimental background. J Prosthet Dent. 1983;50(3):399\u0026ndash;410.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLiaw K, Delfini RH, Abrahams JJ, editors. Dental implant complications. Seminars in Ultrasound, CT and MRI. Elsevier; 2015.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlves CH, Russi KL, Rocha NC, Bastos F, Darrieux M, Parisotto TM, Girardello R. Host-microbiome interactions regarding peri-implantitis and dental implant loss. J translational Med. 2022;20(1):425.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhao B, Van Der Mei HC, Subbiahdoss G, de Vries J, Rustema-Abbing M, Kuijer R, et al. Soft tissue integration versus early biofilm formation on different dental implant materials. Dent Mater. 2014;30(7):716\u0026ndash;27.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKheirmand-Parizi M, Doll-Nikutta K, Gaikwad A, Denis H, Stiesch M. Effectiveness of strontium/silver-based titanium surface coatings in improving antibacterial and osteogenic implant characteristics: a systematic review of in-vitro studies. Front Bioeng Biotechnol. 2024;12:1346426.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBlanc-Sylvestre N, Bouchard P, Chaussain C, Bardet C. Pre-clinical models in implant dentistry: past, present, future. Biomedicines. 2021;9(11):1538.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDebener N, Heine N, Legutko B, Denkena B, Prasanthan V, Frings K, et al. Optically accessible, 3D-printed flow chamber with integrated sensors for the monitoring of oral multispecies biofilm growth in vitro. Front Bioeng Biotechnol. 2024;12:1483200.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSchmalz G, Galler KM. Biocompatibility of biomaterials\u0026ndash;Lessons learned and considerations for the design of novel materials. Dent Mater. 2017;33(4):382\u0026ndash;93.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJensen C, Teng Y. Is it time to start transitioning from 2D to 3D cell culture? Front Mol Biosci. 2020;7:33.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDuval K, Grover H, Han L-H, Mou Y, Pegoraro AF, Fredberg J, Chen Z. Modeling physiological events in 2D vs. 3D cell culture. Physiology. 2017;32(4):266\u0026ndash;77.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYuste I, Luciano FC, Gonz\u0026aacute;lez-Burgos E, Lalatsa A, Serrano D. Mimicking bone microenvironment: 2D and 3D in vitro models of human osteoblasts. Pharmacol Res. 2021;169:105626.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBattiston KG, Cheung JW, Jain D, Santerre JP. Biomaterials in co-culture systems: towards optimizing tissue integration and cell signaling within scaffolds. Biomaterials. 2014;35(15):4465\u0026ndash;76.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRouwkema J, Gibbs S, Lutolf MP, Martin I, Vunjak-Novakovic G, Malda J. In vitro platforms for tissue engineering: implications for basic research and clinical translation. J Tissue Eng Regen Med. 2011;5(8):e164\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStadlinger B, Pourmand P, Locher MC, Schulz MC. Systematic review of animal models for the study of implant integration, assessing the influence of material, surface and design. J Clin Periodontol. 2012;39:28\u0026ndash;36.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRavi M, Paramesh V, Kaviya S, Anuradha E, Solomon FP. 3D cell culture systems: advantages and applications. J Cell Physiol. 2015;230(1):16\u0026ndash;26.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMikolai C, Kommerein N, Ingendoh-Tsakmakidis A, Winkel A, Falk CS, Stiesch M. Early host\u0026ndash;microbe interaction in a peri‐implant oral mucosa‐biofilm model. Cell Microbiol. 2020;22(8):e13209.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShayya G, Benedetti C, Chagot L, Stachowicz M-L, Chassande O, Catros S. Revolutionizing Dental Implant Research: A Systematic Review on Three-Dimensional In Vitro Models. Tissue Eng Part C: Methods. 2024;30(9):368\u0026ndash;82.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShang L, Deng D, Krom BP, Gibbs S. Oral host-microbe interactions investigated in 3D organotypic models. Crit Rev Microbiol. 2024;50(4):397\u0026ndash;416.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRen X, van der Mei HC, Ren Y, Busscher HJ. Keratinocytes protect soft-tissue integration of dental implant materials against bacterial challenges in a 3D-tissue infection model. Acta Biomater. 2019;96:237\u0026ndash;46.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKheirmand-Parizi M, Doll-Nikutta K, Mikolai C, Wirth D, Menzel H, Stiesch M. Dual Antibacterial and Soft-Tissue-Integrative Effect of Combined Strontium Acetate and Silver Nitrate on Peri-Implant Environment: Insights from Multispecies Biofilms and a 3D Coculture Model. ACS Applied Materials \u0026amp; Interfaces; 2025.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIngendoh-Tsakmakidis A, Mikolai C, Winkel A, Szafrański SP, Falk CS, Rossi A, et al. Commensal and pathogenic biofilms differently modulate peri‐implant oral mucosa in an organotypic model. Cell Microbiol. 2019;21(10):e13078.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDickson MA, Hahn WC, Ino Y, Ronfard V, Wu JY, Weinberg RA, et al. Human keratinocytes that express hTERT and also bypass a p16INK4a-enforced mechanism that limits life span become immortal yet retain normal growth and differentiation characteristics. Mol Cell Biol. 2000;20(4):1436\u0026ndash;47.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKommerein N, Stumpp SN, M\u0026uuml;sken M, Ehlert N, Winkel A, H\u0026auml;ussler S, et al. An oral multispecies biofilm model for high content screening applications. PLoS ONE. 2017;12(3):e0173973.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChai W, Moharamzadeh K, Brook I, Van Noort R. A review of histomorphometric analysis techniques for assessing implant-soft tissue interface. Biotech Histochem. 2011;86(4):242\u0026ndash;54.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJia F, Wang S, Xu S, Wu W, Zhou L, Zeng J. The role of titanium surface micromorphology in MG-63 cell motility during osteogenesis. Sci Rep. 2022;12(1):9971.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhou W, Han C, Song Y, Yan X, Li D, Chai Z, et al. The performance of bone marrow mesenchymal stem cell\u0026ndash;implant complexes prepared by cell sheet engineering techniques. Biomaterials. 2010;31(12):3212\u0026ndash;21.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLumbikanonda N, Sammons R. Bone cell attachment to dental implants of different surface characteristics. Int J Oral Maxillofacial Implants. 2001;16(5).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSammons RL, Lumbikanonda N, Gross M, Cantzler P. Comparison of osteoblast spreading on microstructured dental implant surfaces and cell behaviour in an explant model of osseointegration: a scanning electron microscopic study. Clin Oral Implants Res. 2005;16(6):657\u0026ndash;66.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHsu S-K, Huang W-T, Liu B-S, Li S-M, Chen H-T, Chang C-J. Effects of near-field ultrasound stimulation on new bone formation and osseointegration of dental titanium implants in vitro and in vivo. Ultrasound Med Biol. 2011;37(3):403\u0026ndash;16.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMorishita A, Kumabe S, Nakatsuka M, Iwai Y. A histological study of mineralised tissue formation around implants with 3D culture of HMS0014 cells in Cellmatrix Type IA collagen gel scaffold in vitro. Okajimas Folia Anat Jpn. 2014;91(3):57\u0026ndash;71.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eStuani VT, Kim DM, Nagai M, Chen C-Y, Sant\u0026rsquo;Ana ACP. The in vitro evaluation of preosteoblast migration from 3-D-printed scaffolds to decontaminated smooth and minimally rough titanium surfaces: A pilot study. Altern Lab Anim. 2021;49(3):83\u0026ndash;92.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSivolella S, Brunello G, Ferroni L, Berengo M, Meneghello R, Savio G, et al. A novel in vitro technique for assessing dental implant osseointegration. Tissue Eng Part C: Methods. 2016;22(2):132\u0026ndash;41.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSladkova-Faure M, Pujari-Palmer M, \u0026Ouml;hman-M\u0026auml;gi C, L\u0026oacute;pez A, Wang H Jr, Engqvist H, de Peppo GM. A biomimetic engineered bone platform for advanced testing of prosthetic implants. Sci Rep. 2020;10(1):22154.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTerranova L, Mallet R, Perrot R, Chappard D. Polystyrene scaffolds based on microfibers as a bone substitute; development and in vitro study. Acta Biomater. 2016;29:380\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBaker SC, Atkin N, Gunning PA, Granville N, Wilson K, Wilson D, Southgate J. Characterisation of electrospun polystyrene scaffolds for three-dimensional in vitro biological studies. Biomaterials. 2006;27(16):3136\u0026ndash;46.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSiddiqui N, Asawa S, Birru B, Baadhe R, Rao S. PCL-based composite scaffold matrices for tissue engineering applications. Mol Biotechnol. 2018;60:506\u0026ndash;32.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAbbasi N, Hamlet S, Love RM, Nguyen N-T. Porous scaffolds for bone regeneration. J science: Adv Mater devices. 2020;5(1):1\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHo-Shui-Ling A, Bolander J, Rustom LE, Johnson AW, Luyten FP, Picart C. Bone regeneration strategies: Engineered scaffolds, bioactive molecules and stem cells current stage and future perspectives. Biomaterials. 2018;180:143\u0026ndash;62.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBou\u0026euml;t G, Marchat D, Cruel M, Malaval L, Vico L. In vitro three-dimensional bone tissue models: from cells to controlled and dynamic environment. Tissue Eng Part B: Reviews. 2015;21(1):133\u0026ndash;56.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlmela T, Brook IM, Moharamzadeh K. Development of three-dimensional tissue engineered bone-oral mucosal composite models. J Mater Science: Mater Med. 2016;27:1\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMartin I, Wendt D, Heberer M. The role of bioreactors in tissue engineering. Trends Biotechnol. 2004;22(2):80\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRouwkema J, Rivron NC, van Blitterswijk CA. Vascularization in tissue engineering. Trends Biotechnol. 2008;26(8):434\u0026ndash;41.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWoo KM, Jun J-H, Chen VJ, Seo J, Baek J-H, Ryoo H-M, et al. Nano-fibrous scaffolding promotes osteoblast differentiation and biomineralization. Biomaterials. 2007;28(2):335\u0026ndash;43.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLi J, Yang L, Guo X, Cui W, Yang S, Wang J, et al. Osteogenesis effects of strontium-substituted hydroxyapatite coatings on true bone ceramic surfaces in vitro and in vivo. Biomed Mater. 2017;13(1):015018.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhang X, Chang W, Lee P, Wang Y, Yang M, Li J, et al. Polymer-ceramic spiral structured scaffolds for bone tissue engineering: effect of hydroxyapatite composition on human fetal osteoblasts. PLoS ONE. 2014;9(1):e85871.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAlmela T, Al-Sahaf S, Bolt R, Brook IM, Moharamzadeh K. Characterization of multilayered tissue-engineered human alveolar bone and gingival mucosa. Tissue Eng Part C: Methods. 2018;24(2):99\u0026ndash;107.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePayr S, Rosado-Balmayor E, Tiefenboeck T, Schuseil T, Unger M, Seeliger C, van Griensven M. Direct comparison of 3D and 2D cultivation reveals higher osteogenic capacity of elderly osteoblasts in 3D. J Orthop Surg Res. 2021;16:1\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLin X, Patil S, Gao Y-G, Qian A. The bone extracellular matrix in bone formation and regeneration. Front Pharmacol. 2020;11:757.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJablonsk\u0026aacute; E, Horkavcov\u0026aacute; D, Rohanov\u0026aacute; D, Brauer DS. A review of in vitro cell culture testing methods for bioactive glasses and other biomaterials for hard tissue regeneration. J Mater Chem B. 2020;8(48):10941\u0026ndash;53.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFattahi T, Mohan M, Caldwell GT. Clinical applications of fibrin sealants. J Oral Maxillofac Surg. 2004;62(2):218\u0026ndash;24.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLiu G, Lin J, Chen X, Liu R. Gingival Fibroblast Suppress the Osteogenesis Process Mediated by Bone Substitute Materials via WNT/β-catenin Signaling Pathway in vitro and in vivo. Front Bioeng Biotechnol. 2025;13:1521134.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGhuman MS, Al-Masri M, Xavier G, Cobourne MT, McKay IJ, Hughes FJ. Gingival fibroblasts prevent BMP‐mediated osteoblastic differentiation. J Periodontal Res. 2019;54(3):300\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSouza JGS, Bertolini M, Thompson A, Bar\u0026atilde;o VAR, Dongari-Bagtzoglou A. Biofilm interactions of Candida albicans and mitis group streptococci in a titanium-mucosal interface model. Appl Environ Microbiol. 2020;86(9):e02950\u0026ndash;19.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eValente NA, Andreana S. Peri-implant disease: what we know and what we need to know. J periodontal implant Sci. 2016;46(3):136\u0026ndash;51.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMarriott I, Gray DL, Tranguch SL, Fowler VG Jr, Stryjewski M, Levin LS, et al. Osteoblasts express the inflammatory cytokine interleukin-6 in a murine model of Staphylococcus aureus osteomyelitis and infected human bone tissue. Am J Pathol. 2004;164(4):1399\u0026ndash;406.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDapunt U, Giese T, Stegmaier S, Moghaddam A, H\u0026auml;nsch GM. The osteoblast as an inflammatory cell: production of cytokines in response to bacteria and components of bacterial biofilms. BMC Musculoskelet Disord. 2016;17:1\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTerashima A, Takayanagi H, editors. The role of bone cells in immune regulation during the course of infection. Seminars in Immunopathology. Springer; 2019.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGhassib I, Chen Z, Zhu J, Wang HL. Use of IL-1 β, IL‐6, TNF‐α, and MMP‐8 biomarkers to distinguish peri‐implant diseases: a systematic review and meta‐analysis. Clin Implant Dent Relat Res. 2019;21(1):190\u0026ndash;207.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWu X, Qiao S, Wang W, Zhang Y, Shi J, Zhang X, et al. Melatonin prevents peri\u0026ndash;implantitis via suppression of TLR4/NF-κB. Acta Biomater. 2021;134:325\u0026ndash;36.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-oral-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ohea","sideBox":"Learn more about [BMC Oral Health](http://bmcoralhealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/ohea/default.aspx","title":"BMC Oral Health","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Bone model, oral mucosa, hard tissue, soft tissue, 3D in vitro model, organotypic model, peri-implantitis","lastPublishedDoi":"10.21203/rs.3.rs-6565129/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6565129/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003ePeri-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 \u003cem\u003ein vitro\u003c/em\u003e 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 peri-implant infections.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAs a hard tissue component, osteoblast-covered HA/TCP scaffold structures were developed and merged with peri-implant mucosa, resulting in a 3D \u003cem\u003ein vitro\u003c/em\u003e 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.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCell 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 multi-species biofilm, this model represents all essential components observed in a peri-implant infection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBy 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 progression 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.\u003c/p\u003e","manuscriptTitle":"Establishment of a three-dimensional in vitro peri-implant bone-mucosa composite model","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-15 12:48:55","doi":"10.21203/rs.3.rs-6565129/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-06-25T04:42:26+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-06-24T14:45:06+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"202769395718045610016406434293445805283","date":"2025-06-01T09:53:39+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-13T18:49:19+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"24781900433929186992511446497666536698","date":"2025-05-13T17:19:46+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-05-13T15:29:17+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-05-08T03:40:28+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-05-08T03:39:38+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Oral Health","date":"2025-04-30T12:44:15+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-oral-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"ohea","sideBox":"Learn more about [BMC Oral Health](http://bmcoralhealth.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/ohea/default.aspx","title":"BMC Oral Health","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b20a2dae-b2a3-453a-8531-7aba439193ab","owner":[],"postedDate":"May 15th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2026-01-19T16:44:34+00:00","versionOfRecord":{"articleIdentity":"rs-6565129","link":"https://doi.org/10.1186/s12903-025-06930-2","journal":{"identity":"bmc-oral-health","isVorOnly":false,"title":"BMC Oral Health"},"publishedOn":"2026-01-14 16:28:49","publishedOnDateReadable":"January 14th, 2026"},"versionCreatedAt":"2025-05-15 12:48:55","video":"","vorDoi":"10.1186/s12903-025-06930-2","vorDoiUrl":"https://doi.org/10.1186/s12903-025-06930-2","workflowStages":[]},"version":"v1","identity":"rs-6565129","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6565129","identity":"rs-6565129","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00