Abstract
Objectives
This study evaluated whether an oxygen-releasing mouthwash formulation (O2MW) produces species-dependent antibacterial, antibiofilm, and gene expression responses in Aggregatibacter actinomycetemcomitans and Prevotella intermedia compared with 0.12% chlorhexidine under planktonic and biofilm conditions in vitro.
Materials and methods
Minimum inhibitory concentrations (MICs) were determined using a resazurin-based broth microdilution, and minimum bactericidal concentration (MBC) by agar subculture. Agar diffusion assessed growth inhibition. Biofilm biomass was quantified using crystal violet staining, while pre-formed biofilm structure and membrane integrity were examined by confocal laser scanning microscopy (CLSM). Quantitative PCR assessed adhesion-, toxin-, oxidative-stress-, and iron-associated genes. Molecular docking used sodium perborate as a representative oxygen-releasing constituent.
Results
O2MW MICs were 3.13% for A. actinomycetemcomitans and 50% for P. intermedia. MBC was detected only for A. actinomycetemcomitans. Agar diffusion showed inhibition zones from 0.78% O2MW for A. actinomycetemcomitans, whereas P. intermedia showed zones only at 50% and 100% O2MW. O2MW reduced biofilm biomass, with minimum biofilm inhibitory concentration (MBIC) values of 1.56% and 25%, respectively. CLSM showed reduced biomass and thickness at higher concentrations. Sub-MIC O2MW increased expression of adhesion- and virulence-associated genes, particularly ltxA in A. actinomycetemcomitans and oxidative-stress and iron-associated genes, including ahpF, ftnA, and feoB in P. intermedia. Docking suggested pathway-level involvement only.
Conclusions
O2MW showed species-dependent antibacterial and antibiofilm activity, with greater effects at lower concentrations against A. actinomycetemcomitans. The findings support further preclinical and host-cell evaluation before clinical translation.
Clinical relevance
O2MW may have potential as an adjunct for periodontal biofilm control, but pathogen-specific responses warrant further evaluation.
Supplementary Information
The online version contains supplementary material available at https://doi.org/10.1007/s00784-026-07203-0.
Keywords: Periodontitis, Biofilms, Mouthwashes, Chlorhexidine, Aggregatibacter actinomycetemcomitans, Prevotella intermedia
Introduction
Periodontitis is a dysbiotic, biofilm-driven inflammatory disease in which subgingival microbial communities interact with the host immune response and contribute to periodontal tissue destruction [1]. Mechanical plaque control and periodontal debridement remain central to treatment, with chemical adjuncts used where access is limited [2, 3]. Chlorhexidine (CHX) is a reference oral antiseptic with broad antimicrobial activity but is limited by tooth staining, taste disturbance, mucosal irritation, and concerns with repeated or prolonged exposure [3, 4]. These limitations support the evaluation of adjunctive formulations with different modes of action.
Oxygen-releasing oral-care formulations have gained attention because periodontal pockets and mature oral biofilms contain low-oxygen microenvironments that can support anaerobic periodontal pathogens [5–7]. O2MW is an oxygen-releasing mouthwash formulation containing sodium perborate (SP), an oral-care ingredient used for biofilm control that can contribute to peroxide-mediated oxidative activity in aqueous environments [8, 9]. However, the response to oxygen-releasing formulations may differ among periodontal pathogens because susceptibility is influenced by oxygen tolerance, surface-associated virulence factors, biofilm phenotype, and oxidative-stress adaptation [10, 11].
Aggregatibacter actinomycetemcomitans and Prevotella intermedia were selected as periodontal pathogens with contrasting biological characteristics. A. actinomycetemcomitans is a facultative Gram-negative pathobiont with virulence mechanisms involving adhesion, immune evasion, and toxin production, including leukotoxin and cytolethal distending toxin [10, 12]. In contrast, P. intermedia is a black-pigmented anaerobe associated with haem acquisition, biofilm formation, and oxidative-stress tolerance [11, 13]. These differences provide a useful model for determining whether an oxygen-releasing formulation produces uniform or species-dependent antimicrobial responses.
Although oxygen-releasing formulations show antimicrobial activity against oral bacteria, it remains unclear whether their effects differ among periodontal pathogens with distinct physiology, oxygen tolerance, virulence mechanisms, and biofilm characteristics. Our previous work showed that O2MW reduced P. gingivalis biofilm formation and suppressed selected adhesion-associated genes [14]. Therefore, this study compared the antibacterial and antibiofilm effects of O2MW against A. actinomycetemcomitans and P. intermedia, using CHX as a reference comparator, and assessed selected virulence-, adhesion-, oxidative-stress-, and iron-associated genes with exploratory molecular docking of sodium perborate.
Materials and methods
Bacterial strains and culture conditions
A. actinomycetemcomitans ATCC 29522 and P. intermedia ATCC 25611 were obtained as KWIK-STIK™ preparations (Microbiologics, St. Cloud, MN, USA) and activated according to the manufacturer’s instructions. A. actinomycetemcomitans was cultured on Brain Heart Infusion (BHI) agar/broth (Oxoid Ltd., Basingstoke, Hampshire, UK) at 37 °C in 5% CO2 for 48 h. P. intermedia was cultured in supplemented tryptic soy broth/agar containing hemin and vitamin K (Watin-Biolife, Riyadh, Saudi Arabia), and incubated anaerobically at 37 °C for 48–72 h using an anaerobic jar system and AnaeroGen™ gas-generating sachets (Thermo Scientific™, Oxoid Ltd., Basingstoke, Hampshire, UK). For anaerobic assays, fresh or pre-reduced medium was used when required.
Bacterial suspensions were prepared from fresh cultures grown to the mid-logarithmic phase and standardized spectrophotometrically at OD600 before each experiment.
Test solutions
Blue®m mouthwash/O2MW (BlueM Europe, Zwolle, The Netherlands) was used as the oxygen-releasing formulation and diluted in organism-specific medium immediately before use.
Chlorhexidine mouthwash (0.20%, Parodontax® Extra, Omega Pharma Manufacturing GmbH, Herrenberg, Germany) was diluted to 0.12% and used as a positive antimicrobial comparator. Untreated bacterial cultures served as growth controls, and uninoculated medium served as the sterility control. Concentration ranges reflected assay purpose and organism-specific susceptibility: broad dilutions for MIC determination, sub-inhibitory to higher concentrations for antibacterial and biofilm assays, and MIC-based concentrations for CLSM and qPCR analyses.
Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) determination
MIC was determined by resazurin-based broth microdilution [15, 16]. Two-fold O2MW serial dilutions (0.048-100%) were prepared in 96-well round-bottom plates (Greiner Bio-One GmbH, Frickenhausen, Germany), using BHI broth for A. actinomycetemcomitans and supplemented tryptic soy broth for P. intermedia.
Standardized bacterial suspensions were added and incubated under organism-specific conditions. After incubation, 0.015% resazurin solution was added, and plates were further incubated. MIC was defined as the lowest O2MW concentration that prevented detectable resazurin color change compared with the untreated growth control [15].
For MBC determination, aliquots from wells at the MIC and higher concentrations were plated onto organism-specific agar plates and incubated under the corresponding conditions. MBC was defined as the lowest concentration showing no visible colony growth [16].
Agar diffusion assay
Standardized bacterial suspensions were spread onto BHI agar for A. actinomycetemcomitans or supplemented TSA containing hemin and vitamin K for P. intermedia. Agar diffusion was used as an in vitro inhibition-zone assay based on general disk-diffusion principles [17, 18]; no clinical breakpoints or susceptibility categories were applied.
Sterile 6-mm Whatman® paper discs (Sigma-Aldrich, Darmstadt, Germany) were loaded with 10 µL test solution. The tested concentrations were 0.78–6.25% for A. actinomycetemcomitans and 12.5–100% for P. intermedia. CHX 0.12% served as the positive comparator, and medium-loaded discs served as growth controls. After incubation, inhibition zones were measured in millimeters; absence of a visible inhibition halo was recorded as 0 mm.
Biofilm biomass assay
For crystal violet microtiter plate assay, bacterial suspensions were adjusted to OD600 = 0.08–0.10 and inoculated into 96-well U-bottom plates [19, 20].
Tested O2MW concentrations were 0.39–12.5% for A. actinomycetemcomitans and 12.5–100% for P. intermedia. Untreated cultures served as biofilm growth controls, and CHX 0.12% was included as the positive comparator.
Plates were incubated for 72 h under organism-specific conditions to allow static biofilm formation [21–23]. After incubation, planktonic cells were removed, wells were gently washed with sterile distilled water, dried for 20 min at room temperature, stained with 0.5% crystal violet (Sigma-Aldrich, St. Louis, MO, USA) for 10 min, washed, and solubilized with absolute ethanol. Absorbance was measured at 490 nm using a Synergy HT microplate reader (BioTek Instruments, Winooski, VT, USA).
The minimum biofilm inhibitory concentration (MBIC) was defined as the lowest O2MW concentration that produced ≥ 50% reduction in biofilm biomass compared with the untreated control [24, 25].
Confocal laser scanning microscopy (CLSM) biofilm analysis
Biofilms were allowed to pre-form on sterile coverslips under organism-specific growth conditions to measure biofilm structure and membrane integrity [21, 22].
After biofilm formation, coverslips were transferred to fresh culture plates and exposed to O2MW or CHX for 1 min, consistent with the recommended mouth-rinsing duration [26]. As CLSM evaluated pre-formed biofilms, MIC-based concentrations were selected to provide standardized exposure levels across species. Tested O2MW concentrations corresponded to ¼ MIC, ½ MIC, MIC, and 2× MIC: 0.78%, 1.56%, 3.13%, and 6.25% for A. actinomycetemcomitans, and 12.5%, 25%, 50%, and 100% for P. intermedia. Untreated biofilms served as controls.
Coverslips were gently washed with phosphate-buffered saline (PBS) and stained using LIVE/DEAD™ BacLight™ stain (Molecular Probes, Eugene, OR, USA) to assess membrane-integrity patterns. SYTO 9 fluorescence was excited at 488 nm and detected in the green channel, while propidium iodide fluorescence was excited at 568 nm and detected in the red channel.
Z-stacks were acquired using a Nikon C2 confocal microscope (Nikon Instruments Inc., Tokyo, Japan), and biofilm biomass and thickness were quantified separately using COMSTAT2 (version 2.1) [27, 28].
Quantitative real-time PCR (qPCR)
For sub-inhibitory qPCR analysis on selected genes, A. actinomycetemcomitans was treated with 0.78% and 1.56% O2MW, corresponding to ¼ MIC and ½ MIC, and the selected targets were cdtA, ltxA, aae, emaA, omp100/apiA, and omp64. P. intermedia was treated with 12.5% and 25% O2MW, corresponding to ¼ MIC and ½ MIC, and the selected targets were oxyR, ahpC, ahpF, ftnA, feoB, and ompA. Untreated cultures served as time-matched controls, and CHX 0.12% served as an antimicrobial-stress comparator.
Bacterial cultures were exposed for 30 min and 2 h to assess early and short-term transcriptional responses; these extended exposures were mechanistic rather than clinically simulated rinsing [11, 29]. After exposure, cells were collected by centrifugation at 10,053 × g for 5 min. Total RNA was extracted using HiGene™ Total RNA Prep kit (BioFACT Co. Ltd., Daejeon, Korea) and RNA concentration and purity were measured using BioSpectrometer® basic (Eppendorf, Hamburg, Germany). cDNA was synthesized using the RT Ace First Strand cDNA synthesis kit (Haven Scientific, Thuwal, Saudi Arabia).
qPCR was performed using EverGreen Universal Real-time PCR Master Mix on an ABI 7500 Real-Time PCR System (Applied Biosystems, Waltham, MA, USA). Primer sequences are provided in Supplementary Table S1. Gene expression was normalized to 16S rRNA as the reference gene, and relative fold changes were calculated using the 2−ΔΔCt method [34]. Experiments were performed using three independent biological replicates, and each qPCR reaction was analyzed in technical triplicate.
Molecular docking
Molecular docking was performed as an exploratory and hypothesis-generating analysis of potential interactions between sodium perborate, a representative oxygen-releasing constituent of O2MW and selected bacterial protein targets [9].
Target proteins included Aae, LtxA, CdtA, Omp64, EmaA, and Omp100/ApiA for A. actinomycetemcomitans, and AhpC, AhpF, FtnA, OmpA, FeoB, and OxyR for P. intermedia.
Protein sequences were retrieved from the NCBI Protein database using genome assemblies ASM2355964v1 and ASM195395v1; and predicted structures were obtained from AlphaFold [35, 36]; accession details are provided in Supplementary Table S2.
Sodium perborate ligand structure was generated using ChemAxon Marvin JS (version 22.11.1) and Avogadro software (version 1.2.0). Ligand and receptor PDBQT files were prepared using AutoDock Tools (version 1.5.7) [37], and blind docking was performed using GNINA (version 1.3.2), with whole-receptor search space, 4 Å padding, exhaustiveness of 64, and 20 output poses per target [38].
Protein-ligand complexes were visualized using PyMOL (version 3.0.3) [39] and ChimeraX (version 1.7.1) [40], and interaction maps were generated using LigPlot+ (version 2.3.1) [41]. Docking results were reported as predicted binding energies and interpreted as exploratory only.
Statistical analysis
Data were analyzed using GraphPad Prism (version 6.00 for Windows, La Jolla, CA, USA). Agar diffusion was performed with six replicates per group (n = 6); other assays were performed in three independent experiments, each in triplicate. The triplicate readings from each independent experiment were averaged before statistical analysis. One-way ANOVA followed by Dunnett’s multiple-comparisons test was performed separately for comparisons with the untreated control and 0.12% CHX reference group. Two-way ANOVA followed by Tukey’s multiple-comparisons test was used when two factors were analyzed. Statistical significance was set at p < 0.05.
Results
Antibacterial activity
The resazurin-based broth microdilution assay showed organism-specific inhibitory responses to O2MW (Fig. 1). The MIC was 3.13% for A. actinomycetemcomitans and 50% for P. intermedia. Growth control wells showed resazurin color change, whereas broth controls and 0.12% CHX controls showed no color change. The MBC was 3.13% for A. actinomycetemcomitans. For P. intermedia, no MBC was detected within the tested concentration range.
Fig. 1.

Representative resazurin-based broth microdilution assay showing O2MW serial dilutions against (A) A. actinomycetemcomitans and (B) P. intermedia. Bacterial growth control, broth control, and 0.12% CHX were included as assay controls. The MIC was recorded as the lowest O2MW concentration showing no resazurin color change after incubation. The MIC was determined as 3.13% v/v for A. actinomycetemcomitans and 50% v/v for P. intermedia, as indicated by the boxed wells
The in vitro agar diffusion assay showed measurable inhibition zones for selected O2MW concentrations against both bacterial species (Fig. 2). For A. actinomycetemcomitans, no inhibition halo was detected in the untreated control. O2MW produced measurable halos from 0.78% to 6.25%, increasing from 1.89 ± 0.56 at 0.78% to 4.51 ± 0.87 at 6.25% (Fig. 2A). CHX 0.12% produced the largest mean inhibition-halo width, measuring 10.58 ± 0.79 mm. O2MW concentrations from 0.78 to 6.25% were significantly different from the untreated control and from CHX, while CHX was also significantly different from the untreated control.
Fig. 2.

In vitro agar diffusion inhibition zones of O2MW against A. actinomycetemcomitans and P. intermedia. (A) Representative agar diffusion imagesRepresentative CLSM images of showing inhibition halos after exposure to O2MW concentrations and 0.12% CHX. The upper row represents A. actinomycetemcomitans, and the lower row represents P. intermedia. (B) Quantitative inhibition-halo width for A. actinomycetemcomitans. (C) Quantitative inhibition-halo width for P. intermedia. Data are presented as box-and-whisker plots with individual data points (n = 6). After incubation, inhibition-halo widths were measured from the edge of the disc to the outer edge of the clear zone; absence of a visible halo was recorded as 0 mm. * p < 0.05 compared with the untreated control; # p < 0.05 compared with the 0.12% CHX
For P. intermedia, no inhibition zone was observed in the untreated control or at 12.5% and 25% O2MW. Measurable halos were detected only at 50% and 100% O2MW, at 2.36 ± 0.08 and 2.98 ± 0.08 mm, respectively. CHX produced a comparable halo of 2.78 ± 0.15 mm. Significant differences versus the untreated control were observed at 50% and 100% O2MW, while the untreated control, 12.5%, and 25% O2MW were statistically different from CHX.
Biofilm biomass inhibition
Crystal violet staining showed that O2MW reduced biofilm biomass in both bacterial species (Fig. 3). For A. actinomycetemcomitans, biofilm formation was reduced from 0.39% O2MW, with greater reduction at 0.78% (Fig. 3A). At 1.56% O2MW, biofilm formation was reduced to 22.15 ± 3.30% of the untreated control and remained low at higher concentrations.
Fig. 3.

Crystal violet biofilm biomass assay showing the effect of O2MW on biofilm formation by (A) A. actinomycetemcomitans and (B) P. intermedia. Biofilm formation was expressed as percentage relative to the untreated control. O2MW reduced biofilm biomass in both species, with an MBIC of 1.56% v/v for A. actinomycetemcomitans and 25% v/v for P. intermedia. CHX was included as the reference antiseptic comparator. Data are presented as box-and-whisker plots with individual data points. * indicates significant difference from the untreated control; # indicates significant difference from 0.12% CHX; p < 0.05
For P. intermedia, O2MW reduced biofilm formation in a concentration-related manner. Biofilm was reduced at higher concentrations, reaching 42.01 ± 7.20% at 25% O2MW. CHX 0.12% also reduced biofilm formation in both species. Based on these, the MBIC was 1.56% for A. actinomycetemcomitans and 25% for P. intermedia.
CLSM pre-formed biofilm analysis
CLSM imaging showed treatment-associated changes in biofilm structure and membrane-integrity staining. Untreated A. actinomycetemcomitans biofilms showed dense biofilm architecture with dominant green fluorescence, whereas CHX-treated biofilms showed increased red/orange fluorescence and reduced green signal. O2MW treatment produced a concentration-related reduction in green fluorescence and increased red/orange staining, most evident at higher tested concentrations, particularly at 6.25% (Fig. 4A).
Fig. 4.

(A) Representative CLSM images of A. actinomycetemcomitans biofilms after treatment with O2MW or 0.12% CHX. For each group, three-dimensional biofilm reconstructions are shown above corresponding two-dimensional views. Green fluorescence indicates cells with intact membranes, while red/orange fluorescence indicates membrane-compromised cells. O2MW treatment reduced biofilm structure and increased red/orange fluorescence in a concentration-dependent pattern. Scale bars = 100 μm. Quantitative analysis of (B) biofilm biomass and (C) biofilm thickness showed reductions after O2MW and CHX treatment. Data are presented as box-and-whisker plots with individual data points. * indicates significant difference from the untreated control; φ indicates significant difference from 0.12% CHX; p < 0.05
Quantitative CLSM confirmed reduced A. actinomycetemcomitans biofilm biomass and thickness. Untreated biofilms had the highest biomass (24.47 ± 2.88 μm³/µm²), while O2MW and CHX reduced biomass. Biofilm thickness decreased with increasing O2MW concentration, most at 6.25% (39.08 ± 5.07 μm); CHX also reduced thickness.
For P. intermedia, untreated biofilms also showed dense green fluorescence, while CHX and O2MW increased red/orange signal and reduced green fluorescence (Fig. 5A). The strongest red/orange pattern among O2MW-treated groups was observed at 100%. Quantitative analysis showed that untreated biofilms had the highest biomass, 33.80 ± 6.04 μm³/µm², while O2MW and CHX reduced biomass to 11.56 ± 2.68 to 23.02 ± 5.41 μm³/µm². Thickness followed a similar pattern, with untreated biofilms reaching 51.33 ± 9.42 μm and O2MW-treated groups ranging from 23.58 ± 3.80 to 38.17 ± 5.36 μm.
Fig. 5.

(A) Representative CLSM images of P. intermedia biofilms after treatment with O2MW or 0.12% CHX. Three-dimensional reconstructions and corresponding two-dimensional views are shown for each group. Green fluorescence indicates cells with intact membranes, while red/orange fluorescence indicates membrane-compromised cells. O2MW reduced biofilm structure and increased red/orange fluorescence, particularly at higher concentrations. Scale bars = 100 μm. Quantitative analysis showed reduced (B) biofilm biomass and (C) thickness after O2MW and CHX treatment. Data are presented as box-and-whisker plots with individual data points. * indicates significant difference from the untreated control; φ indicates significant difference from 0.12% CHX; p < 0.05
qPCR analysis
Relative expression of cdtA, ltxA, aae, emaA, omp100/apiA, and omp64 in A. actinomycetemcomitans was assessed after sub-inhibitory O2MW exposure (Fig. 6A; Supplementary Fig. S1). At 30 min, 0.78% O2MW increased expression of all tested genes, with the strongest induction observed for ltxA. Increased expression was also observed for toxin-, adhesion-, and outer-membrane-associated genes including cdtA, aae, emaA, omp100/apiA, and omp64. At 1.56% O2MW, expression values were generally lower than those observed at 0.78%, with most genes closer to the untreated control range, although ltxA remained elevated. At 2 h, the overall response was lower than the 30-min response, while ltxA remained above control levels in both O2MW-treated groups. CHX differed from O2MW, with reduced expression of several genes, including cdtA, aae, emaA, and omp100/apiA, while ltxA remained above the untreated control but below the 0.78% O2MW group.
Fig. 6.

qPCR heatmap of gene-expression changes after O2MW and CHX exposure. (A) Relative expression of cdtA, ltxA, aae, emaA, omp100/apiA, and omp64 in A. actinomycetemcomitans after 30 min and 2 h exposure to sub-MIC O2MW concentrations or 0.12% CHX. (B) Relative expression of oxyR, ahpC, ahpF, ftnA, feoB, and ompA in P. intermedia after 30 min and 2 h exposure to sub-MIC O2MW concentrations or 0.12% CHX. Values represent relative fold change calculated using the 2−ΔΔCt method, with time-matched untreated controls normalized to 1. Color intensity indicates fold-change magnitude. O2MW, oxygen-releasing mouthwash; CHX, chlorhexidine
Relative expression of oxyR, ahpC, ahpF, ftnA, feoB, and ompA was assessed in P. intermedia following O2MW and CHX treatment (Fig. 6B; Supplementary Fig. S2). At 30 min, 12.5% O2MW increased expression of several oxidative-stress, iron-homeostasis, and outer-membrane-associated genes, including ahpC, ftnA, feoB, and ompA, whereas oxyR remained below the untreated control. The 25% O2MW group showed lower expression than 12.5% for several genes, although ftnA remained elevated. At 2 h, 12.5% O2MW increased all tested genes, while 25% O2MW showed gene-dependent expression, with sustained elevation of ahpF, ftnA, and feoB. CHX differed from O2MW, with particularly high expression of feoB and increased expression of selected oxidative-stress and iron-homeostasis genes.
Docking analysis
Molecular docking was performed as an exploratory analysis of sodium perborate interactions with selected protein targets (Supplementary Table S3; Supplementary Fig. S3). For A. actinomycetemcomitans, mean docking scores ranged from − 3.83 to − 6.74 kcal/mol. Omp64 showed the most negative mean score (− 6.74 ± 0.03 kcal/mol), followed by Aae, LtxA, CdtA, EmaA, and Omp100.
For P. intermedia, mean docking scores ranged from − 4.70 to − 6.71 kcal/mol. OxyR showed the most negative mean docking score (− 6.71 ± 0.02 kcal/mol), followed by FeoB, AhpF, OmpA, FtnA, and AhpC.
Docking visualizations showed predicted sodium perborate interactions with selected protein targets, with the most favorable interaction scores observed for Omp64 in A. actinomycetemcomitans and OxyR in P. intermedia.
Discussion
This study evaluated O2MW against A. actinomycetemcomitans and P. intermedia. O2MW showed differential activity, with A. actinomycetemcomitans showing lower MIC and MBIC values than P. intermedia. In agar diffusion testing, inhibition zones appeared at lower O2MW concentrations for A. actinomycetemcomitans, whereas P. intermedia required higher concentrations. Although CHX produced larger inhibition halos than O2MW, agar diffusion does not measure antimicrobial potency alone. Inhibition halos depend on antimicrobial activity as well as solubility, molecular diffusion through agar, release kinetics from the disc, and stability of active components during radial diffusion [18, 42, 43]. Therefore, the smaller O2MW halos may reflect restricted diffusion or localized active-oxygen release rather than lower intrinsic antibacterial activity. This distinction is important because CHX and O2MW differ mechanistically; CHX is a cationic bisbiguanide that binds to bacterial surfaces and disrupts membrane integrity, whereas O2MW is an oxygen-releasing formulation [4, 44].
Fernandez y Mostajo et al. reported a different selectivity pattern for Ardox-X® technology, an oxygenating sodium-perborate system. At the highest AX concentration, inhibition zones were 9 ± 1 mm for P. intermedia and 2 ± 1 mm for A. actinomycetemcomitans. Similarly, MIC/MBC values were lower for P. intermedia than for A. actinomycetemcomitans (80/80 mg/L SP versus 159/319 mg/L SP, respectively) [45]. In contrast, the present O2MW formulation showed lower MIC and MBIC values for A. actinomycetemcomitans than for P. intermedia. This difference in findings may reflect formulation-specific selectivity, strain background, growth conditions, exposure format, and biofilm model rather than a uniform sodium-perborate class effect. Similarly, a hydro-carbon-oxo-borate compound showed antibiofilm activity in a multispecies subgingival biofilm model, although CHX produced stronger reductions for several periodontal species, including P. intermedia [46].
The species-dependent responses are likely multifactorial, reflecting strain-specific physiology, growth requirements, biofilm characteristics, formulation-dependent exposure, and oxidative-stress handling. The contrasting selectivity reported for another sodium-perborate system [45] suggests that formulation, experimental context, and oxidative-stress responses may also influence activity. Hydrogen peroxide has been shown to inhibit A. actinomycetemcomitans at relatively low concentrations [8, 9, 29], whereas haem-associated pigment in P. intermedia may contribute to protection against peroxide [47, 48]. MBC was detected only for A. actinomycetemcomitans within the tested concentration range.
For A. actinomycetemcomitans, biofilm biomass was reduced across the tested concentrations, with an MBIC of 1.56%. Because this was below the planktonic MIC, the antibiofilm effect of O2MW may involve interference with surface attachment, colonization, or matrix accumulation rather than planktonic growth inhibition alone. This is supported by the role of surface-associated adhesins, including Aae, EmaA, and ApiA/Omp100 in A. actinomycetemcomitans attachment and biofilm formation [23, 49].
For P. intermedia, O2MW reduced biofilm biomass in a concentration-related manner, with an MBIC of 25%. Although below the planktonic MIC, this was substantially higher than the MBIC for A. actinomycetemcomitans and may reflect biofilm-associated tolerance to oxidative stress, including haem-associated surface protection and iron(III) protoporphyrin IX pigment formation, which may reduce peroxide susceptibility [13, 50]. Because crystal violet measures total attached biomass, including bacterial cells and extracellular matrix, these MBIC values should be interpreted as reduced biofilm accumulation rather than direct bacterial killing [24, 25]. Clinically, the stronger low-concentration in vitro effect against A. actinomycetemcomitans may be relevant because this organism contributes to periodontal colonization through adhesion- and biofilm-associated mechanisms, while its pathogenicity is also linked to major virulence factors such as leukotoxin and cytolethal distending toxin [10, 12, 23, 49]. Sub-MIC reduction of A. actinomycetemcomitans biofilm biomass may therefore suggest potential value in limiting surface colonization or early biofilm accumulation. However, these findings were obtained using single-species in vitro models and do not establish clinical efficacy. The higher concentrations required for P. intermedia further suggest that O2MW warrants evaluation as a potential adjunct to mechanical plaque control and biofilm disruption, rather than as a standalone strategy for suppressing mature anaerobic biofilms [2, 51].
CLSM analysis showed treatment-associated changes in pre-formed biofilm structure and membrane-integrity staining. In both organisms, O2MW reduced biofilm biomass and thickness and increased red/orange fluorescence, with stronger effects observed at higher concentrations. These findings suggest that O2MW affected both the quantity and architecture of pre-formed biofilms. The LIVE/DEAD signal was interpreted as a membrane-integrity endpoint and not as evidence of bacterial eradication or culturability. The 1-min CLSM exposure reflects clinical mouth-rinsing duration, whereas the longer qPCR exposures were mechanistic rather than clinically representative.
Our previous O2MW study showed reduced P. gingivalis biofilm formation with suppression of fimA and hagA expression [14]. In contrast, this study showed distinct organism-specific responses in A. actinomycetemcomitans and P. intermedia, including greater low-concentration activity against A. actinomycetemcomitans and stress-associated transcriptional responses in both organisms under sub-inhibitory exposure.
In A. actinomycetemcomitans, 0.78% O2MW increased ltxA, cdtA, aae, emaA, omp100/apiA, and omp64 expression, with the strongest response observed for ltxA. The increased ltxA transcription should not be interpreted as increased leukotoxin production or activity, which was not assessed in this study. Because crystal violet and CLSM showed reduced biofilm biomass and structure, this increase should not be interpreted as enhanced biofilm activity. Rather, it may reflect a sublethal oxidative-stress response among residual cells exposed to low-concentration O2MW. This is based on the roles of the induced genes where aae, emaA, and omp100/apiA contribute to epithelial adhesion, serum resistance, and biofilm formation, whereas ltxA and cdtA encode major toxin-associated factors [10, 12, 49]. Therefore, O2MW may have reduced biofilm accumulation while remaining cells increased colonization- and virulence-associated gene expression. At 1.56% O2MW and at 2 h, expression was lower for most genes, although ltxA remained elevated. This is consistent with reports that sub-inhibitory antimicrobial exposure can alter bacterial gene expression, while stronger exposure may reduce the proportion of metabolically active or responsive cells [52, 53]. CHX differed from O2MW by reducing several colonization-associated genes, while ltxA transcription remained stress-responsive.
The docking results for A. actinomycetemcomitans were consistent with surface-colonization involvement but remain exploratory. The most favorable predicted scores involved Omp64, Aae, and LtxA, which are associated with surface structure, adhesion, or virulence. Together with the qPCR data, these findings suggest that surface-colonization and virulence-associated pathways may be involved in the response of A. actinomycetemcomitans to O2MW. However, docking does not prove direct binding, inhibition, or regulation by sodium perborate.
In P. intermedia, O2MW mainly affected oxidative-stress and iron-homeostasis genes. At 30 min, 12.5% O2MW increased ahpC, ahpF, ftnA, feoB, and ompA, whereas oxyR was not increased. By 2 h, 12.5% O2MW increased all selected genes, including oxyR, consistent with a time-dependent redox-stress response. This is because OxyR regulates oxidative-stress survival in P. intermedia, and OxyR disruption affects survival under oxygen and peroxide stress together with genes such as ahpC, ahpF, and ftnA [11]. Increased ahpC and ahpF suggest peroxide-detoxification activity, while increased ftnA and feoB suggest involvement of iron storage and uptake. This is important because free iron can promote radical-mediated damage, whereas ferritin-like proteins can reduce oxidative stress by limiting available iron [54, 55]. The 25% O2MW group showed a less broad response than 12.5% O2MW, although ahpF, ftnA, and feoB remained elevated, suggesting that peroxide-detoxification and iron-homeostasis pathways remained active under stronger sub-inhibitory exposure. Accordingly, the higher MIC and MBIC required for P. intermedia may reflect lower direct susceptibility to O2MW and activation of redox and iron-protective pathways in surviving cells.
CHX produced a stronger iron-stress-associated response in P. intermedia, particularly through marked induction of feoB and ftnA, with increased ahpF also observed. This suggests that CHX and O2MW both triggered stress-associated transcriptional changes in P. intermedia, but the response to CHX was more dominated by iron-homeostasis and oxidative-stress-associated genes.
The docking findings for P. intermedia supported this interpretation but remain exploratory. Favorable predicted scores involved OxyR, FeoB, AhpF, and OmpA, corresponding to oxidative-stress, iron-homeostasis, and membrane-associated pathways. However, oxyR induction is more likely to reflect redox sensing than direct ligand binding. Therefore, the qPCR and docking data should be interpreted as supportive evidence of pathway involvement, not proof of direct molecular targets.
The effects of O2MW should also be considered in the context of the broader oral microbiome. Oxygenating formulations have shown selective effects on oral streptococci and altered the composition and metabolism of multispecies biofilms [45, 56]. Such effects on early colonizers may influence subsequent biofilm development and ecological succession. Future studies should therefore examine O2MW in multispecies community models.
This study has limitations. Single-species in vitro models do not fully reproduce multispecies periodontal biofilms, saliva, host factors, or subgingival microenvironments. Bacterial inocula were standardized by OD600; therefore, equivalent OD values may not represent identical viable cell densities between the two species. The qPCR data represent transcriptional responses only and require protein-level or functional validation. Oxygen release, peroxide generation, reactive oxygen species, redox changes, and protein activity were also not directly measured after O2MW exposure. Future studies should also determine whether the antibacterial and antibiofilm concentrations identified here remain compatible with host-cell viability and periodontal tissue repair. Despite these limitations, O2MW showed organism-specific antibacterial and antibiofilm effects, with lower MIC and MBIC values for A. actinomycetemcomitans and higher concentration requirements for P. intermedia. These findings provide a preclinical basis for further evaluation of O2MW for periodontal biofilm control, while clinical efficacy remains to be established.
Conclusion
In conclusion, O2MW demonstrated species-dependent activity against A. actinomycetemcomitans and P. intermedia, with greater activity at lower concentrations against A. actinomycetemcomitans. O2MW reduced biofilm biomass and structure and induced distinct transcriptional responses in genes associated with adhesion, virulence, oxidative stress, and iron homeostasis. Overall, these findings support further preclinical evaluation of O2MW as a potential adjunct for periodontal biofilm control.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
The authors acknowledge the Ongoing Research Funding Program (ORF-2026-2076), King Saud University, Riyadh, Saudi Arabia, for supporting this research.
Author contributions
Fatemah M. AlAhmari (FMA): Conceptualization, Methodology, Validation, Formal analysis, Resources, Writing – Original draft, Writing – Review & editing, Supervision, Funding acquisition. Rhodanne Nicole A. Lambarte (RNAL): Formal analysis, Investigation, Data Curation, Writing – Original draft, Writing – Review & editing, Visualization, Project administration. Terrence S. Sumague (TSS): Software, Formal analysis, Investigation, Data Curation, Writing – Review & editing, Visualization. Mary Grace B. Vigilla (MGBV): Investigation, Data Curation, Writing – Review & editing. Marwa Y. Shaheen (MYS): Conceptualization, Methodology, Validation, Formal analysis, Resources, Writing – Review & editing. Sumaiah Ajlan (SA): Conceptualization, Methodology, Validation, Resources, Writing – Review & editing. Lamees Alssum (LA): Conceptualization, Methodology, Validation, Resources, Writing – Review & editing. Amani M. Basudan (AMB): Conceptualization, Methodology, Validation, Resources, Writing – Review & editing. Abdurahman A. Niazy (AAN): Methodology, Formal analysis, Investigation, Resources, Writing – Review & editing, Supervision. All authors have read and agreed to the final version of the manuscript.
Funding
This research was funded by the Ongoing Research Funding Program (ORF-2026-2076), King Saud University, Riyadh, Saudi Arabia.
Data availability
All data supporting the findings of this study are available within the paper and its Supplementary Information.
Declarations
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Hajishengallis G (2015) Periodontitis: from microbial immune subversion to systemic inflammation. Nat Rev Immunol 15:30–44. 10.1038/nri3785 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sanz M, Herrera D, Kebschull M, Chapple I, Jepsen S, Berglundh T et al (2020) Treatment of stage I–III periodontitis—The EFP S3 level clinical practice guideline. J Clin Periodontol 47:4–60. 10.1111/jcpe.13290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.James P, Worthington HV, Parnell C, Harding M, Lamont T, Cheung A et al (2017) Chlorhexidine mouthrinse as an adjunctive treatment for gingival health. Cochrane Database Syst Rev 3:CD008676. 10.1002/14651858.CD008676.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Brookes ZLS, Bescos R, Belfield LA, Ali K, Roberts A (2020) Current uses of chlorhexidine for management of oral disease: a narrative review. J Dent 103:103497. 10.1016/j.jdent.2020.103497 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Mettraux GR, Gusberti FA, Graf H (1984) Oxygen tension (pO₂) in untreated human periodontal pockets. J Periodontol 55:516–521. 10.1902/jop.1984.55.9.516 [DOI] [PubMed] [Google Scholar]
- 6.Tanaka M, Hanioka T, Takaya K, Shizukuishi S (1998) Association of oxygen tension in human periodontal pockets with gingival inflammation. J Periodontol 69:1127–1130. 10.1902/jop.1998.69.10.1127 [DOI] [PubMed] [Google Scholar]
- 7.Bowen WH, Burne RA, Wu H, Koo H (2018) Oral biofilms: pathogens, matrix, and polymicrobial interactions in microenvironments. Trends Microbiol 26:229–242. 10.1016/j.tim.2017.09.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.McKillop A, Sanderson WR (1995) Sodium perborate and sodium percarbonate: Cheap, safe and versatile oxidising agents for organic synthesis. Tetrahedron 51:6145–6166. 10.1016/0040-4020(95)00304-Q [DOI] [Google Scholar]
- 9.Leano SM, De Souza W, De Vecchi R, Lopes A, Deliberador T, Granjeiro JM (2024) A multimodal in vitro approach to assess the safety of oral care products using 2D and 3D cellular models. Front Toxicol 6:1474583. 10.3389/ftox.2024.1474583 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Nørskov-Lauritsen N, Claesson R, Åberg CH, Haubek D (2019) Aggregatibacter actinomycetemcomitans: clinical significance of a pathobiont subjected to ample changes in classification and nomenclature. Pathogens 8:243. 10.3390/pathogens8040243 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Naito M, Belvin BR, Shoji M, Gui Q, Lewis JP (2021) Insertional inactivation of Prevotella intermedia OxyR results in reduced survival with oxidative stress and in the presence of host cells. Microorganisms 9:551. 10.3390/microorganisms9030551 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fine DH, Patil AG, Velusamy SK (2019) Aggregatibacter actinomycetemcomitans under the radar: myths and misunderstandings of Aa and its role in aggressive periodontitis. Front Immunol 10:728. 10.3389/fimmu.2019.00728 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Yamanaka T, Furukawa T, Matsumoto-Mashimo C, Yamane K, Sugimori C, Nambu T et al (2009) Gene expression profile and pathogenicity of biofilm-forming Prevotella intermedia strain 17. BMC Microbiol 9:11. 10.1186/1471-2180-9-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.AlAhmari FM, Lambarte RNA, Sumague TS, Vigilla MGB, Shaheen MY, Ajlan S et al (2026) An oxygen-releasing mouthwash reduces Porphyromonas gingivalis biofilm and suppresses fimA and hagA expression. Int Dent J 76:109432. 10.1016/j.identj.2026.109432 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sarker SD, Nahar L, Kumarasamy Y (2007) Microtitre plate-based antibacterial assay incorporating resazurin as an indicator of cell growth, and its application in the in vitro antibacterial screening of phytochemicals. Methods 42:321–324. 10.1016/j.ymeth.2007.01.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Clinical and Laboratory Standards Institute (1999) Methods for determining bactericidal activity of antimicrobial agents; approved guideline. CLSI document M26-A. Clinical and Laboratory Standards Institute, Wayne [Google Scholar]
- 17.European Committee on Antimicrobial Susceptibility Testing (2025) EUCAST disk diffusion method manual. Version 13.0. EUCAST, Växjö [Google Scholar]
- 18.Matuschek E, Brown DFJ, Kahlmeter G (2014) Development of the EUCAST disk diffusion antimicrobial susceptibility testing method and its implementation in routine microbiology laboratories. Clin Microbiol Infect 20:O255–O66. 10.1111/1469-0691.12373 [DOI] [PubMed] [Google Scholar]
- 19.Fujita A, Oogai Y, Kawada-Matsuo M, Nakata M, Noguchi K, Komatsuzawa H (2021) Expression of virulence factors under different environmental conditions in Aggregatibacter actinomycetemcomitans. Microbiol Immunol 65:101–114. 10.1111/1348-0421.12864 [DOI] [PubMed] [Google Scholar]
- 20.Rodriguez Herrero E, Boon N, Pauwels M, Bernaerts K, Slomka V, Quirynen M et al (2017) Necrotrophic growth of periodontopathogens is a novel virulence factor in oral biofilms. Sci Rep 7:1107. 10.1038/s41598-017-01239-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bao K, Bostanci N, Thurnheer T, Grossmann J, Wolski WE, Thay B et al (2018) Aggregatibacter actinomycetemcomitans H-NS promotes biofilm formation and alters protein dynamics of other species within a polymicrobial oral biofilm. NPJ Biofilms Microbiomes 4:12. 10.1038/s41522-018-0055-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Albaghdadi SZ, Altaher JB, Drobiova H, Bhardwaj RG, Karched M (2021) In vitro characterization of biofilm formation in Prevotella species. Front Oral Health 2:724194. 10.3389/froh.2021.724194 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Tristano J, Tang-Siegel G, Mintz KP (2023) Regulation of adhesin synthesis in Aggregatibacter actinomycetemcomitans. Mol Oral Microbiol 38:276–287. 10.1111/omi.12410 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Skogman ME, Vuorela PM, Fallarero A (2012) Combining biofilm matrix measurements with biomass and viability assays in susceptibility assessments of antimicrobials against Staphylococcus aureus biofilms. J Antibiot 65:453–459. 10.1038/ja.2012.49 [DOI] [PubMed] [Google Scholar]
- 25.Latka A, Drulis-Kawa Z (2020) Advantages and limitations of microtiter biofilm assays in the model of antibiofilm activity of Klebsiella phage KP34 and its depolymerase. Sci Rep 10:20338. 10.1038/s41598-020-77198-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Shen Y, Zhao J, de la Fuente-Núñez C, Wang Z, Hancock REW, Roberts CR et al (2016) Experimental and theoretical investigation of multispecies oral biofilm resistance to chlorhexidine treatment. Sci Rep 6:27537. 10.1038/srep27537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Heydorn A, Nielsen AT, Hentzer M, Sternberg C, Givskov M, Ersbøll BK et al (2000) Quantification of biofilm structures by the novel computer program COMSTAT. Microbiology 146:2395–2407. 10.1099/00221287-146-10-2395 [DOI] [PubMed] [Google Scholar]
- 28.Vorregaard M (2008) COMSTAT2: a modern 3D image analysis environment for biofilms. Technical University of Denmark, Kongens Lyngby. Master’s thesis [Google Scholar]
- 29.Nakamura Y, Oogai Y, Umemura E, Kato F, Sugai M (2023) Persister cell formation and elevated lsrA and lsrC gene expression upon hydrogen peroxide exposure in a periodontal pathogen Aggregatibacter actinomycetemcomitans. Microorganisms 11:1402. 10.3390/microorganisms11061402 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Ishikawa KH, Bueno MR, Kawamoto D, Simionato MR, Mayer MP (2021) Lactobacilli postbiotics reduce biofilm formation and alter transcription of virulence genes of Aggregatibacter actinomycetemcomitans. Mol Oral Microbiol 36:92–102. 10.1111/omi.12330 [DOI] [PubMed] [Google Scholar]
- 31.Jang EY, Kim M, Noh MH, Moon JH, Lee JY (2016) In vitro effects of polyphosphate against Prevotella intermedia in planktonic phase and biofilm. Antimicrob Agents Chemother 60:818–826. 10.1128/AAC.01861-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zou P, Cao P, Liu J, Li P, Luan Q (2022) Comparisons of the killing effect of direct current partially mediated by reactive oxygen species on Porphyromonas gingivalis and Prevotella intermedia in planktonic state and biofilm state-an in vitro study. J Dent Sci 17:459–467. 10.1016/j.jds.2021.07.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Naito M, Shoji M, Sato K, Nakayama K (2022) Insertional inactivation and gene complementation of Prevotella intermedia type IX secretion system reveals its indispensable roles in black pigmentation, hemagglutination, protease activity of interpain A, and biofilm formation. J Bacteriol 204:e00203–22. 10.1128/jb.00203-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2−ΔΔCt method. Methods 25:402–408. 10.1006/meth.2001.1262 [DOI] [PubMed] [Google Scholar]
- 35.Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O et al (2021) Highly accurate protein structure prediction with AlphaFold. Nature 596:583–589. 10.1038/s41586-021-03819-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Varadi M, Anyango S, Deshpande M, Nair S, Natassia C, Yordanova G et al (2022) AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res 50:D439–D444. 10.1093/nar/gkab1061 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Morris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, Goodsell DS et al (2009) AutoDock4 and AutoDockTools4: automated docking with selective receptor flexibility. J Comput Chem 30:2785–2791. 10.1002/jcc.21256 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.McNutt AT, Francoeur P, Aggarwal R, Masuda T, Meli R, Ragoza M et al (2021) GNINA 1.0: molecular docking with deep learning. J Cheminform 13:43. 10.1186/s13321-021-00522-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Schrödinger, LLC (2024) The PyMOL Molecular Graphics System, Version 3.0.3. Schrödinger, LLC
- 40.Pettersen EF, Goddard TD, Huang CC, Meng EC, Couch GS, Croll TI et al (2021) UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci 30:70–82. 10.1002/pro.3943 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Laskowski RA, Swindells MB (2011) LigPlot+: multiple ligand–protein interaction diagrams for drug discovery. J Chem Inf Model 51:2778–2786. 10.1021/ci200227u [DOI] [PubMed] [Google Scholar]
- 42.Bonev B, Hooper J, Parisot J (2008) Principles of assessing bacterial susceptibility to antibiotics using the agar diffusion method. J Antimicrob Chemother 61:1295–1301. 10.1093/jac/dkn090 [DOI] [PubMed] [Google Scholar]
- 43.Balouiri M, Sadiki M, Ibnsouda SK (2016) Methods for in vitro evaluating antimicrobial activity: A review. J Pharm Anal 6:71–79. 10.1016/j.jpha.2015.11.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Jones CG (1997) Chlorhexidine: is it still the gold standard? Periodontol 2000 15:55–62. 10.1111/j.1600-0757.1997.tb00105.x [DOI] [PubMed] [Google Scholar]
- 45.Fernandez y Mostajo M, van der Reijden WA, Buijs MJ, Beertsen W, van der Weijden F, Crielaard W et al (2014) Effect of an oxygenating agent on oral bacteria in vitro and on dental plaque composition in healthy young adults. Front Cell Infect Microbiol 4:95 10.3389/fcimb.2014.00095 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Shibli JA, Rocha TF, Coelho F, de Oliveira Capote TS, Saska S, Melo MA et al (2021) Metabolic activity of hydro-carbon-oxo-borate on a multispecies subgingival periodontal biofilm: a short communication. Clin Oral Investig 25:5945–5953. 10.1007/s00784-021-03900-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Byrne DP, Potempa J, Olczak T, Smalley JW (2013) Evidence of mutualism between two periodontal pathogens: cooperative haem acquisition by the HmuY haemophore of Porphyromonas gingivalis and the cysteine protease interpain A of Prevotella intermedia. Mol Oral Microbiol 28:219–229. 10.1111/omi.12018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Byrne DP, Manandhar SP, Potempa J, Smalley JW (2015) Breakdown of albumin and haemalbumin by the cysteine protease interpain A, an albuminase of Prevotella intermedia. BMC Microbiol 15:185. 10.1186/s12866-015-0516-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Danforth DR, Melloni M, Tristano J, Mintz KP (2021) Contribution of adhesion proteins to Aggregatibacter actinomycetemcomitans biofilm formation. Mol Oral Microbiol 36:243–253. 10.1111/omi.12346 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Smalley JW, Silver J, Birss AJ, Withnall R, Titler PJ (2003) The haem pigment of the oral anaerobes Prevotella nigrescens and Prevotella intermedia is composed of iron (III) protoporphyrin IX in the monomeric form. Microbiology 149:1711–1718. 10.1099/mic.0.26258-0 [DOI] [PubMed] [Google Scholar]
- 51.Socransky SS, Haffajee AD, Cugini MA, Smith C, Kent RL Jr (1998) Microbial complexes in subgingival plaque. J Clin Periodontol 25:134–144. 10.1111/j.1600-051x.1998.tb02419.x [DOI] [PubMed] [Google Scholar]
- 52.Davies J, Spiegelman GB, Yim G (2006) The world of subinhibitory antibiotic concentrations. Curr Opin Microbiol 9:445–453. 10.1016/j.mib.2006.08.006 [DOI] [PubMed] [Google Scholar]
- 53.Laureti L, Matic I, Gutierrez A (2013) Bacterial responses and genome instability induced by subinhibitory concentrations of antibiotics. Antibiotics 2:100–114. 10.3390/antibiotics2010100 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Andrews SC, Robinson AK, Rodríguez-Quiñones F (2003) Bacterial iron homeostasis. FEMS Microbiol Rev 27:215–37. 10.1016/S0168-6445(03)00055-X [DOI] [PubMed] [Google Scholar]
- 55.Rocha ER, Smith CJ (2004) Transcriptional regulation of the Bacteroides fragilis ferritin gene (ftnA) by redox stress. Microbiology 150:2125–2134. 10.1099/mic.0.26948-0 [DOI] [PubMed] [Google Scholar]
- 56.Fernandez y Mostajo M, Exterkate RAM, Buijs MJ, Crielaard W, Zaura E (2017) Effect of mouthwashes on the composition and metabolic activity of oral biofilms grown in vitro. Clin Oral Investig 21:1221–1230. 10.1007/s00784-016-1876-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
All data supporting the findings of this study are available within the paper and its Supplementary Information.
