Enhanced "Electronic Tongue" for Dental Bacterial Discrimination and Elimination Based on a DNA-Encoded Nanozyme Sensor Array.

Bacterial infections are the second leading cause of death around the world, especially those caused by delayed treatment and misdiagnosis. Therefore, rapid discrimination and effective elimination of multiple bacteria are of great importance for improving the survival rate in clinic. Herein, a novel colorimetric sensor array for bacterial discrimination and elimination is constructed using programmable DNA-encoded iron oxide nanoparticles (IONPs) as sensing elements. Utilizing differential interactions of bacteria on DNA-encoded IONPs, 11 kinds of dental bacteria and 6 kinds of proteins have been successfully identified by linear discriminant analysis (LDA). Moreover, the developed sensing system also performs well in the quantitative determination of individual bacteria and identification of bacterial mixtures. More importantly, the practicability of this sensing strategy is further verified by precise differentiation of blind and artificial saliva samples. Furthermore, the sensor array is used for efficiently killing multiple bacteria, demonstrating great potential in clinical prophylaxis and therapy.

Expert consensus on digital guided therapy for endodontic diseases.

Digital guided therapy (DGT) has been advocated as a contemporary computer-aided technique for treating endodontic diseases in recent decades. The concept of DGT for endodontic diseases is categorized into static guided endodontics (SGE), necessitating a meticulously designed template, and dynamic guided endodontics (DGE), which utilizes an optical triangulation tracking system. Based on cone-beam computed tomography (CBCT) images superimposed with or without oral scan (OS) data, a virtual template is crafted through software and subsequently translated into a 3-dimensional (3D) printing for SGE, while the system guides the drilling path with a real-time navigation in DGE. DGT was reported to resolve a series of challenging endodontic cases, including teeth with pulp obliteration, teeth with anatomical abnormalities, teeth requiring retreatment, posterior teeth needing endodontic microsurgery, and tooth autotransplantation. Case reports and basic researches all demonstrate that DGT stand as a precise, time-saving, and minimally invasive approach in contrast to conventional freehand method. This expert consensus mainly introduces the case selection, general workflow, evaluation, and impact factor of DGT, which could provide an alternative working strategy in endodontic treatment.

Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.

Accurate and automatic segmentation of individual tooth and root canal from cone-beam computed tomography (CBCT) images is an essential but challenging step for dental surgical planning. In this paper, we propose a novel framework, which consists of two neural networks, DentalNet and PulpNet, for efficient, precise, and fully automatic tooth instance segmentation and root canal segmentation from CBCT images. We first use the proposed DentalNet to achieve tooth instance segmentation and identification. Then, the region of interest (ROI) of the affected tooth is extracted and fed into the PulpNet to obtain precise segmentation of the pulp chamber and the root canal space. These two networks are trained by multi-task feature learning and evaluated on two clinical datasets respectively and achieve superior performances to several comparing methods. In addition, we incorporate our method into an efficient clinical workflow to improve the surgical planning process. In two clinical case studies, our workflow took only 2 min instead of 6 h to obtain the 3D model of tooth and root canal effectively for the surgical planning, resulting in satisfying outcomes in difficult root canal treatments.

Copper functionalized poly (acrylic acid-co-itaconic acid) nanohydrogel: Its antibacterial properties on oral pathogens and biocompatibility.

Although extensive efforts have been made to explore effective antibiotics, the development of antibiotics lags far behind the emergence of drug-resistant bacteria. Antimicrobial materials as an alternative strategy provide effective functions in aiding in relieving the dose of antibiotics. Herein, we report a novel antibacterial agent with high antibacterial effectivity and low toxicity, which is simply composed of a trace amount of Cu2+ ion and nanoscale biocompatible polymer poly (acrylic acid-co-itaconic acid) (PAI-Cu). The polymer shows greatly enhanced antibacterial activity against various Gram-positive and Gram-negative pathogens compared with equal concentrations of copper ion solution, yet shows nearly no toxicity towards human cells. The antibacterial performance and mechanism of copper ionized polymer hydrogel are evaluated in terms of multiple methods, towards various oral bacteria including Streptococcus mutans, Enterococcus faecalis, Lactobacillus acidophilus, Actinomycetes viscosus, Porphyromonas gingivalis, Fusobacterium nucleatum, Aggregatibacter actinomycetemcomitans, and Prevotella intermedia. Bacterial cell membrane and wall damage caused by PAI-Cu nanohydrogel should be regarded as an important antibacterial mechanism. Moreover, PAI-Cu nanohydrogel, as the role of catalytic active center, can activate the surrounding oxygen, and generate hydroxyl radical (·OH), which can destroy the proliferation ability of microbial cells. We suggest that PAI-Cu nanohydrogel is a promising antibacterial agent against dental pathogens and beyond.

"Three-in-one" nanocomposites as multifunctional nanozymes for ultrasensitive ratiometric fluorescence detection of alkaline phosphatase.

Nanozymes, as a unique class of nanomaterials with enzyme-like properties, have attracted significant interest due to their potential applications in many significant fields. Great endeavours have been made to improve the catalytic activities of nanozymes; however, it is still a challenging issue to develop nanozymes that can functionally mimic multiplex enzymes with broader application prospects. Here, we develop a simple hydrothermal method to construct "three-in-one" nanocomposites as multifunctional nanozymes for the ultrasensitive ratiometric fluorescence detection of alkaline phosphatase (ALP). The prepared flower-like Fe3O4 nanocomposites (Fef NCs) are composed of ternary components, in which hierarchical MnO2 nanosheets (NSs) are assembled on Fe3O4 nanoparticles (NPs), followed by the decoration of CeO2 NPs. Fef NCs present tetra-enzyme-like activities, i.e., oxidase-, peroxidase-, catalase-, and superoxide dismutase-like activity. More importantly, Fef NCs can effectively catalyze the oxidation of phenolic compounds (i.e., 3,5-DTBC and dopamine) to produce the corresponding o-quinones, demonstrating specific catechol oxidase-like activity. Based on the excellent catalytic oxidation and fluorescence quenching abilities of Fef NCs, we established a ratiometric fluorescence strategy using two fluorogenic substrates for label-free, ultrasensitive, and selective detection of ALP. The fluorescence bioassay exhibits a linear relationship between the fluorescence ratio and the ALP concentration ranging from 0.2 to 1.0 mU mL-1, with a detection limit down to be 0.19 mU mL-1. Furthermore, this bioassay can detect ALP in mixture and human serum samples, presenting good selectivity as well as real-world applicability. This work not only provides a novel approach for the preparation of a multiple-enzyme-like nanozyme but also offers an advanced ratiometric fluorescence sensing platform for ultrasensitive bioanalysis.

Metal-Nanoparticle-Supported Nanozyme-Based Colorimetric Sensor Array for Precise Identification of Proteins and Oral Bacteria.

Convenient, precise, and high-throughput discrimination of multiple bioanalytes is of great significance for an early diagnosis of diseases. Array-based pattern recognition has proven to be a powerful tool to detect diverse analytes, but developing sensing elements featuring favorable surface diversity still remains a challenge. In this work, we presented a simple and facile method to prepare programmable metal-nanoparticle (NP)-supported nanozymes (MNNs) as artificial receptors for the accurate identification of multiple proteins and oral bacteria. The in situ reduction of metal NPs on hierarchical MoS2 on polypyrrole (PPy), which generated differential nonspecific interactions with bioanalytes, was envisaged as the encoder to break through the limited supply of the receptor's quantity. As a proof of concept, three metal NPs, i.e., Au, Ag, and Pd NPs, were taken as examples to deposit on PPy@MoS2 as colorimetric probes to construct a cross-reactive sensor array. Based on the principal component analysis (PCA), the proposed MNN sensor array could well discriminate 11 proteins with unique fingerprint-like patterns at a concentration of 250 nM and was sufficiently sensitive to determine individual proteins with a detection limit down to the nanomolar level. Remarkably, two highly similar hemoglobins from different species (hemoglobin and bovine hemoglobin) have been precisely identified. Additionally, five oral bacteria were also well separated from each other without cross-classification at the level of 107 CFU mL-1. Furthermore, the sensor array allowed effective discrimination of complex protein mixtures either at different molar ratios or with minor varying components. Most importantly, the blind samples, proteins in human serums, proteins in simulated body fluid environment, the heat-denatured proteins, and even clinical cancer samples all could be well distinguished by the sensor array, demonstrating the real-world applications in clinical diagnosis.

Root Canal Segmentation in CBCT Images by 3D U-Net with Global and Local Combination Loss.

Accurate root canal segmentation provides an important assistance for root canal therapy. The existing research such as level set method have made effective progress in tooth and root canal segmentation. In the current situation, however, doctors are required to specify an initial area for the target root canal manually. In this paper, we propose a fully automatic and high precision root canal segmentation method based on deep learning and hybrid level set constraints. We set up the global image encoder and local region decoder for global localization and local segmentation, and then combine the contour information generated by level set. Through using CLAHE algorithm and a combination loss based on dice loss, we solve the class imbalance problem and improved recognition ability. More accurate and faster root canal segmentation is implemented under the framework of multi-task learning and evaluated by experiments on 78 Cone Beam CT images. The experimental results show that the proposed 3D U-Net had higher segmentation performance than state of the art algorithms. The average dice similarity coefficient (DSC) is 0.952.

Construction of Bio-Nano Interfaces on Nanozymes for Bioanalysis.

Nanomaterials with enzyme-like activity (nanozymes) have been of great interest in broad applications ranging from biosensing to biomedical applications. Despite that much effort has been devoted to the development of the synthesis and applications of nanozymes, it is essential to understand the interactions between nanozymes and most commonly used biomolecules, i.e., avidin, streptavidin (SA), bovine serum albumin (BSA), immunoglobulin G (IgG), and glutathione (GSH), yet they have been rarely explored. Here, a series of bio-nano interfaces were constructed through direct immobilization of proteins on a variety of iron oxide and carbon-based nanozymes with different dimensions, including Fe3O4 nanoparticles (NPs, 0D), Fe3O4@C NPs (0D), Fe3O4@C nanowires (NWs, 1D), and graphene oxide nanosheets (GO NSs, 2D). Such interfaces enabled the modulation of the catalytic activities of the nanozymes with varying degrees, which allowed a good identification of multiplex proteins with high accuracy. Given the maximum inhibition on Fe3O4@C NP by BSA, we established molecular switches based on aptamer and toehold DNA, as well as Boolean logic gates (AND and NOR) in response to both DNA and proteins. Also importantly, we developed an on-particle reaction strategy for colorimetric detection of GSH with ultrahigh sensitivity and good specificity. The proposed sensor achieved a broad dynamic range spanning 7 orders of magnitude with a detection limit down to 200 pg mL-1, which was better than that of an in-solution reaction-based biosensor by 2 orders of magnitude. Furthermore, we explored the mechanisms of the interactions at bio-nano interfaces by studying the interfacial factors, including surface coverage, salt concentration, and the curvature of the nanozyme. This study offered new opportunities in the elaborate design and better utilization of nanozymes for bioanalysis in clinical diagnosis and in vivo detection.

Insight into the structure-antibacterial activity of amino cation-based and acetate anion-based ionic liquids from computational interactions with the POPC phospholipid bilayer.

Investigations relevant to ionic liquids (ILs) as antibacterial agents have drawn considerable attention. However, the high cost and potential toxicity of ILs have severely limited their extensive applications, which has motivated researchers to design inexpensive and health-benign ILs. In this work, the interactions between the hydrated zwitterionic phospholipid (POPC) bilayer and a series of hypothetical amino cation-based and acetate anion-based ILs with different counterparts were investigated using molecular dynamics (MD) simulations to predict their antibacterial abilities. The cations of the ILs were found to insert into the lipid bilayer spontaneously, especially amino cations. Reorientation of the inserted imidazolium-based cations was observed, while the inserted amino cations showed no obvious reorientation phenomena, probably because of the strong charge interactions between the positive NH3 groups of the amino cation and the negative PO4 groups of the lipid bilayer. Due to their strong affinity with water, acetate-based anions disperse better in water solution, which weakens the insertion of the cations into the lipid bilayer to some extent. The structure and dynamic properties of the lipid bilayer, such as electrostatic potential, local ordering, area per lipid, volume per lipid, bilayer thickness, and lateral diffusion, are significantly influenced by the insertion of the cations, which results in disorder of the lipid bilayer and further disruption of the activity of the cell membrane. The insights into the relationship between the structures of ILs and their antibacterial activity in this work will provide a good reference for the screening and design of less expensive, safer, and greener IL candidates as antibacterial agents.

Multi-triggered and enzyme-mimicking graphene oxide/polyvinyl alcohol/G-quartet supramolecular hydrogels.

Supramolecular hydrogels with stimuli-responsive behaviors under aqueous environments are attractive for their potential applications in controlled drug delivery, clinical diagnostics, and tissue engineering. However, there still remain challenges in developing multicomponent hydrogels as a new generation of "smart" soft materials with multiple intelligent functions toward complex biochemical stimuli. In this work, a three dimensional (3D)-nanostructured supramolecular hydrogel was fabricated using a simple and facile strategy via the self-assembly of graphene oxide (GO) nanosheets, poly(vinyl alcohol) (PVA) chains, and G-quartet/hemin (G4/H) motifs. The as-prepared GO/PVA/G4/H hydrogel exhibited a honeycomb-like 3D GO network architecture as well as excellent mechanical properties. Importantly, the hydrogel demonstrated pH-inducing reversible and cyclic phase transitions between solution and hydrogel states, which could be used as "ink" for injectable 3D printing of different shaped patterns. Also, binary AND and OR logic gates were successfully built by encapsulating enzymes into the hydrogels, which responded to a variety of biochemicals. In addition, the hydrogels showed excellent peroxidase-like activity, achieving the ultrasensitive detection of H2O2 at a concentration as low as 100 nM by their deposition on an electrochemical electrode. The design of multicomponent hydrogels opens up an avenue to fabricate novel "smart" soft matter for biological and medical applications.

Evaluation of 3D-printed oval root canal preparation by small field-of-view cone beam CT and computer-aided technique / 口腔疾病防治

Objective@# To evaluate the effect of 3D-printed oval root canal preparation by using small field-of-view cone beam CT (CBCT) combined with computer-aided technologies.@*Methods@#An extracted tooth with a suitable single oval canal was selected by small field-of-view CBCT scanning. Three-dimensional (3D)-printed resin teeth were obtained based on the CBCT data after data conversion and processing. 50 general dentists were selected to prepare the oval root canal of the resin teeth with X-Gold rotary Ni-Ti instruments. Small field-of-view CBCT was applied to scan the oval root canals before and after preparation. Then, computer-aided technologies were used to calculate and compare these CBCT data, analyzing the effects of oval root canal cleaning as well as the root canal deviation by 3D reconstruction and rendering of the images.@*Results @#Among the 50 cases, the mean unprepared area of the oval root canal wall was（56.20 ± 11.91）% and the mean maximum deviation distance of the root canal was（0.140 ± 0.041）mm. There was no correlation between root canal cleanliness and deviation (r=0.18, P=0.212).@*Conclusion @# Combined with small field-of-view CBCT and computer-aided technology, we can effectively quantitatively evaluate the root canal preparation effect.

DNA Nanorobot Delivers Antisense Oligonucleotides Silencing c-Met Gene Expression for Cancer Therapy.

Antisense oligonucleotides are considered to be a promising strategy for cancer therapy because of their high specificity and minimal side effects. They can bind specifically to mRNA silencing the expression of target genes. However, ssDNA cannot enter cells in large quantities, which limits its applications. Tetrahedral framework nucleic acids (tFNA) are considered to be optimal nanoscopic drug carriers because of their editability and biocompatibility. Most importantly, they can be modified with functional molecules. The over-expression of c-Met is associated with a wide variety of tumor occurrences, developments, drug resistance and prognoses. Activation of HGF/c-Met signaling pathways can promote cell migration and invasion in cancer. Therefore, blocking the expression of c-Met is a valid technique for cancer therapy. In this study, we used tFNA as carriers to deliver antisense oligonucleotides, which can bind to c-Met mRNA with high specificity and affinity, into cells resulting in the inhibition of c-Met expression for cancer therapy.

Engineering DNA-Nanozyme Interfaces for Rapid Detection of Dental Bacteria.

Engineering biological interfaces represents a powerful means to improve the performance of biosensors. Here, we developed a DNA-engineered nanozyme interface for rapid and sensitive detection of dental bacteria. We employed DNA aptamer as both molecular recognition keys and adhesive substrates to functionalize the nanozyme. Utilizing different immobilization strategies and DNA designs, a range of DNA nanoscale biointerfaces were constructed to modulate enzymatic and biological properties of the nanozyme systems. These functional biointerfaces improved the accessibility of bacteria to the nanozyme surface, providing large signal change range at optimal DNA probe density. The DNA-functionalized nanozymes demonstrate a rapid, label-free, and highly sensitive direct colorimetric detection of Streptococcus mutans, with a detection limit of 12 CFU mL-1, as well as excellent discrimination from other dental bacteria. We demonstrate the use of this biological nanointerface for identifying dental bacteria in salivary samples, showing its potential in clinical prevention and diagnosis of dental diseases.

Targeted and effective glioblastoma therapy via aptamer-modified tetrahedral framework nucleic acid-paclitaxel nanoconjugates that can pass the blood brain barrier.

Targeted DNA nanoparticles have been identified as one of the most promising nanocarriers in anti-glioma drug delivery. We established a multifunctional nanosystem for targeted glioma therapy. Tetrahedral framework nucleic acid (tFNA), entering U87MG cells and bEnd.3 cells, was chosen to deliver two aptamers, GMT8 and Gint4.T, and paclitaxel. GMT8 and Gint4.T, which specifically bind with U87MG cells and with PDGFRß, were linked with tFNA, to form Gint4.T-tFNA-GMT8 (GTG). GTG was efficiently internalized by U87MG and bEnd.3 cells and penetrated an in-vitro blood-brain-barrier model. GTG loaded with paclitaxel (GPC) had potentiated anti-glioma efficacy. It inhibited the proliferation, migration, and invasion of U87MG cells, and enhanced apoptosis induction in these cells. The expression of apoptosis-related proteins was significantly changed after treatment with GPC, confirming apoptosis induction. Our study demonstrated that the combination of GTG and paclitaxel has great potential for glioma treatment and tFNA shows great promise for use in drug delivery.

P34HB electrospun fibres promote bone regeneration in vivo.

OBJECTIVE: Bone tissue engineering was introduced in 1995 and provides a new way to reconstruct bone and repair bone defects. However, the design and fabrication of suitable bionic bone scaffolds are still challenging, and the ideal scaffolds in bone tissue engineering should have a three-dimensional porous network, good biocompatibility, excellent biodegradability and so on. The purpose of our research was to investigate whether a bioplasticpoly3-hydroxybutyrate4-hydroxybutyrate (P34HB) electrospun fibre scaffold is conducive to the repair of bone defects, and whether it is a potential scaffold for bone tissue engineering. MATERIALS AND METHODS: The P34HB electrospun fibre scaffolds were prepared by electrospinning technology, and the surface morphology, hydrophilicity, mechanical properties and cytological behaviour of the scaffolds were tested. Furthermore, a calvarial defect model was created in rats, and through layer-by-layer paper-stacking technology, the P34HB electrospun fibre scaffolds were implanted into the calvarial defect area and their effect on bone repair was evaluated. RESULTS: The results showed that the P34HB electrospun fibre scaffolds are interwoven with several fibres and have good porosity, physical properties and chemical properties and can promote cell adhesion and proliferation with no cytotoxicity in vitro. In addition, the P34HB electrospun fibre scaffolds can promote the repair of calvarial defects in vivo. CONCLUSIONS: These results demonstrated that the P34HB electrospun fibre scaffold has a three-dimensional porous network with good biocompatibility, excellent biosafety and ability for bone regeneration and repair; thus, the P34HB electrospun fibre scaffold is a potential scaffold for bone tissue engineering.

Regulation of Atrial Fibrosis by the Bone.

MR (mineralocorticoid receptor) antagonists have been demonstrated to provide beneficial effects on preventing atrial fibrosis. However, the underlying cellular and molecular mechanisms remain unclear. We aim to determine the role of osteoblast MR in atrial fibrosis and to explore the underlying mechanism. Using osteoblast MR knockout mouse in combination with mutant TGF (transforming growth factor)-ß1 transgenic mouse, we demonstrated that MR deficiency in osteoblasts significantly attenuated atrial fibrosis. Mechanistically, MR directly regulated expression of OCN (osteocalcin) in osteoblasts. Both carboxylated and undercarboxylated OCNs (ucOC) were less secreted in osteoblast MR knockout mice. Mutant TGF-ß1 transgenic mice supplemented with recombinant ucOC showed aggravated atrial fibrosis. In cultured atrial fibroblasts, ucOC treatment promoted proliferation and migration of atrial fibroblasts, whereas cotreatment with an antagonist for a GPRC6A (G-protein-coupled receptor, family C, group 6, member A) abolished these effects. Western blotting analysis revealed upregulation of PKA (protein kinase A) and CREB (cAMP-response element-binding protein) phosphorylation after ucOC treatment. Inhibition of PKA with its antagonist reduced ucOC-induced proliferation and migration of atrial fibroblasts. Finally, the impact of osteoblast MR deficiency on atrial fibrosis was abolished by ucOC administration in mutant TGF-ß1 transgenic mice. Taken together, MR deficiency in osteoblasts attenuated atrial fibrosis by downregulation of OCN to promote proliferation and migration of atrial fibroblasts.

Impact of Graphene Exposure on Microbial Activity and Community Ecosystem in Saliva.

Graphene-based nanomaterials (GMs) are served as great promising agents for the prevention and therapy of infectious diseases. However, their dental applications remain to be evaluated, especially under the context of the oral microbial community. Here, we examined the exposure-response of salivary bacterial community to two types of GMs, that is, graphene oxide (GO) and GO-silver nanoparticles (AgNPs). Both GO and GO-AgNPs showed lethal effect against salivary bacteria in a concentration-dependent manner, and the antibacterial capacity of GO-AgNPs is superior to GO. Interestingly, the salivary bacterial community enhanced the tolerance to GMs as compared to homogeneous bacteria. High-throughput sequencing revealed that both 80 µg/mL GO and 20 µg/mL GO-AgNPs significantly altered the biodiversity of salivary bacterial community. Especially, they increased the relative abundance of Gram-positive bacteria compared to the untreated sample, notably Streptococcus, suggesting that the bacterial wall structure plays a critical role in resisting the damage of GMs. Although GMs could effectively limit the salivary bacterial activity and cause changes in bacterial community structure, they are not toxic to mammalian cell lines. We envision this study could provide novel insights into the application of GMs as "green antibiotics" in nanomedicine.

Engineering Nanozymes Using DNA for Catalytic Regulation.

DNA treatment of metal nanoparticles provides a potent tool for tuning their native properties and constructing advanced materials. However, there have been limited studies on interactions between DNA and nanomaterial-based artificial enzymes (nanozymes) to influence their intrinsic peroxidase-like properties. Here, we present the utilization of DNA as a capping ligand to engineer various bio-nanointerfaces for high-precise and adjustable regulation of catalytic behaviors of nanozymes toward the oxidation of substrates. The treatment of stiff double-stranded DNA only induced a negligible enhancement of the catalytic activity of nanozymes, and both coil-like single-stranded DNA and hairpin DNA-capped nanoparticles produced a medium signal increase. Interestingly, hybridization chain reaction (HCR) product-treated nanoparticles showed the highest peroxidase-like activities among four DNA structures. Furthermore, significant parameters that influence HCR process and the modulation of catalysis, such as the concentration of the hairpin DNA, the ionic strength, and the amount of nanozyme, were also systematically investigated. On the basis of HCR amplification and iron oxide (Fe3O4) nanoparticles, we develop a simple, fast, label-free, and sensitive colorimetric strategy for sensing of a Yersinia pestis-relevant DNA sequence with a detection limit as low as 100 pM as well as single nucleotide polymorphism discrimination. These results highlight DNA engineering as a facile strategy to regulate the catalytic activities of nanozymes and understand the interactions between metallic nanoparticles and nucleic acids for biosensing applications.

Graphene-based nanomaterials in biosystems.

Graphene-based nanomaterials have emerged as a novel type of materials with exceptional physicochemical properties and numerous applications in various areas. In this review, we summarize recent advances in studying interactions between graphene and biosystems. We first provide a brief introduction on graphene and its derivatives, and then discuss on the toxicology and biocompatibility of graphene, including the extracellular interactions between graphene and biomacromolecules, cellular studies of graphene, and in vivo toxicological effects. Next, we focus on various graphene-based practical applications in antibacterial materials, wound addressing, drug delivery, and water purification. We finally present perspectives on challenges and future developments in these exciting fields.

Anti-biofilm Activities from Resveratrol against Fusobacterium nucleatum.

Fusobacterium nucleatum is a Gram-negative, anaerobic bacterium that plays an important role in dental plaque biofilm formation. In this study, we evaluate the effect of resveratrol, a phytoalexin compound, on F. nucleatum biofilm formation. The effects of different concentrations of resveratrol on biofilms formed on 96-well microtiter plates at different time points were determined by the MTT assay. The structures and thicknesses of the biofilm were observed by confocal laser scanning microscopy (CLSM), and gene expression was investigated by real-time PCR. The results showed that resveratrol at sub-MIC levels can significantly decrease biofilm formation, whereas it does not affect the bacterial growth rate. It was observed by CLSM images that the biofilm was visually decreased with increasing concentrations of resveratrol. Gene expression was down regulated in the biofilm in the presence of resveratrol. Our results revealed that resveratrol can effectively inhibit biofilm formation.