Interactions of two phosphate ester monomers with hydroxyapatite and collagen fibers and their contributions to dentine bond performance

Han, Fei; Jin, Xin; Yuan, Xiaoqi; Bai, Zehua; Wang, Qi; Xie, Haifeng

doi:10.1016/j.jdent.2022.104159

Cited by 14 publications

(23 citation statements)

References 54 publications

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“…50 μL of freshly quenched fluorescein-conjugated gelatin mixture (E-12055; Molecular Probes, Eugene, OR, USA) was applied on the top of each resin-dentin slab and covered with a coverslip. 29 After the microscope slides were incubated in the dark at 37 ◦C for 24 h, they were examined with a confocal microscope (Zeiss LSM880 with NLO & Airyscan, Germany).…”

Section: Methodsmentioning

confidence: 99%

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Polyphenols Can Improve Resin-Dentin Bond Durability by Promoting Amorphous Calcium Phosphate Nanoparticles to Backfill the Dentin Matrix

Wang¹,

Han²,

You³

et al. 2023

IJN

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Objective To investigate the effects of proanthocyanidins (PA), myricetin, resveratrol, and kaempferol on the modification of dentin collagen and the inhibition of matrix metalloproteinase (MMP) activity, and to evaluate their contributions to the biomimetic remineralization and resin-dentin bonding performance. Methods Attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) and in situ zymography were applied to verify the collagen modification and MMP activity inhibition induced by these four polyphenols. Scanning electron microscopy/energy dispersive spectrometer (SEM/EDS) analysis, X-ray diffraction (XRD), ATR-FTIR, Vickers hardness numbers (VHN), and micro-computed tomography (micro-CT) were performed to characterize the remineralized dentin. Microtensile bond strength (μTBS) and nanoleakage were investigated to evaluate the effects of the four polyphenols on resin-dentin bonding durability. Results ATR-FTIR and in situ zymography confirmed that these four polyphenols could modify dentin collagen and inhibit MMP activity, respectively. Chemoanalytic characterization exhibited the efficacies of the four polyphenols in promoting dentin biomimetic remineralization. The surface hardness of PA-pretreated dentin was the greatest. Micro-CT results demonstrated that the PAs group possessed the highest amount of dentin surface minerals and the lowest amount of deep-layer minerals. The surface and deep-layer mineral contents of the Myr group were higher than Res and Kae groups. Treatment with these four polyphenols significantly increased the initial μTBS compared with the control group without primer conditioning. μTBS decreased significantly during aging, and the decrease was more severe in the PAs and Kae groups than in the Myr and Res groups. With or without aging, the polyphenol groups exhibited relatively less fluorescence. However, the Myr and Res groups showed less serious nanoleakage after aging. Conclusion PA, myricetin, resveratrol, and kaempferol can modify dentin collagen, inhibit MMP activity, promote biomimetic remineralization, and improve resin-dentin bond durability. Compared with PA and kaempferol, myricetin and resveratrol are more effective in improving resin-dentin bonding.

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Section: Methodsmentioning

confidence: 99%

“…Three dentin-bonded slabs (with or without aging) were selected from each group and observed for nanoleakage within the HL using SEM. 29 …”

Section: Methodsmentioning

confidence: 99%

Polyphenols Can Improve Resin-Dentin Bond Durability by Promoting Amorphous Calcium Phosphate Nanoparticles to Backfill the Dentin Matrix

Wang¹,

Han²,

You³

et al. 2023

IJN

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“…PENTA (dipentaerythritol pentaacrylate monophosphate) is a proprietary functional monomer used in DENTSPLY adhesives. PENTA adsorbs on hydroxyapatite and interacts with collagen through weak forces (Han et al 2022). The above 5 monomers were selected as input features.…”

Section: Methodsmentioning

confidence: 99%

Machine Learning Analysis of Microtensile Bond Strength of Dental Adhesives

Hass

Wang

2023

J Dent Res

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Dental adhesives provide retention to composite fillings in dental restorations. Microtensile bond strength (µTBS) test is the most used laboratory test to evaluate bonding performance of dental adhesives. The traditional approach for developing dental adhesives involves repetitive laboratory measurements, which consumes enormous time and resources. Machine learning (ML) is a promising tool for accelerating this process. This study aimed to develop ML models to predict the µTBS of dental adhesives using their chemical features and to identify important contributing factors for µTBS. Specifically, the chemical composition and µTBS information of 81 dental adhesives were collected from the manufacturers and the literature. The average µTBS value of each adhesive was labeled as either 0 (if <36 MPa) or 1 (if ≥36 MPa) to denote the low and high µTBS classes. The initial 9-feature data set comprised pH, HEMA, BisGMA, UDMA, MDP, PENTA, filler, fluoride, and organic solvent (OS) as input features. Nine ML algorithms, including logistic regression, k-nearest neighbor, support vector machine, decision trees and tree-based ensembles, and multilayer perceptron, were implemented for model development. Feature importance analysis identified MDP, pH, OS, and HEMA as the top 4 contributing features, which were used to construct a 4-feature data set. Grid search with stratified 10-fold cross-validation (CV) was employed for hyperparameter tunning and model performance evaluation using 2 metrics, the area under the receiver operating characteristic curve (AUC) and accuracy. The 4-feature data set generated slightly better performance than the 9-feature data set, with the highest AUC score of 0.90 and accuracy of 0.81 based on stratified CV. In conclusion, ML is an effective tool for predicting dental adhesives with low and high µTBS values and for identifying important chemical features contributing to the µTBS. The ML-based data-driven approach has great potential to accelerate the discovery of new dental adhesives and other dental materials.

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“…Although several functional acidic monomers are currently used in dental cements, such as 4‐methacryloxyethyl trimellitic acid (4‐MET), 4‐methacryloxyethyl trimellitic anhydride (4‐META), and dipentaerythritol penta‐acrylate phosphate (PENTA), the gold standard functional monomer at present is surely 10‐methacryloyloxydecyl dihydrogen thiophosphate (10‐MDP). This phosphoric acid‐spacer‐methacrylate group molecule forms very strong and stable bonds with hydroxyapatite, 44 forming 10‐MDP‐Ca salts, as well as hydrogen bonds with collagen molecules 45 . On the other end, this molecule bonds with the carbon chain of the resin monomers 45 .…”

Section: Universal Cementsmentioning

confidence: 99%

“…This phosphoric acid‐spacer‐methacrylate group molecule forms very strong and stable bonds with hydroxyapatite, 44 forming 10‐MDP‐Ca salts, as well as hydrogen bonds with collagen molecules 45 . On the other end, this molecule bonds with the carbon chain of the resin monomers 45 . Additionally, 10‐MDP and 10‐MDP‐Ca salts inhibit endogenous dentinal matrix‐metalloproteinases shown to degrade the hybrid layer and diminish the longevity of resin‐dentin bonds 46,47 …”

Section: Universal Cementsmentioning

confidence: 99%

Resin composite cements: Current status and a novel classification proposal

Maravić

Mazzitelli

Mancuso

et al. 2023

J Esthet Restor Dent

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ObjectivesCurrently, a classification of resin cements that includes relatively recently formulated (“universal”) cements is lacking. Furthermore, the terminology used to define different resin cements in the scientific reports is inconsistent. Accordingly, this work aims to: (i) propose a novel classification of resin composite cements; (ii) disambiguate the term “universal cements” and (iii) present an overview of the properties of these cements.MethodsAn analysis of peer‐reviewed literature (PubMed search), as well as market research on definitive resin composite cements were performed.ResultsA tendency toward simplified and versatile luting materials was observed both in the scientific literature and on the dental market with the advent of self‐adhesive/one‐step resin cements. However, additional priming procedures were necessary to improve their bonding performance in certain clinical situations. Hence, several cements that can be applied both in adhesive and self‐adhesive mode were introduced. These cements are associated with a universal adhesive resin, that can be used as a tooth and/or restorative material primer, without the need for other priming systems, regardless of the substrate. These systems should be considered truly universal. Therefore, we hereby suggested a new classification of resin‐based cements: (1) adhesive/multi‐step; (2) self‐adhesive/one‐step; (3) universal cements (one‐ or multi‐step). Despite promising in vitro results, clinical trials and long‐track laboratory studies are necessary to confirm the reliability of the universal cements.ConclusionsThis review presented the current advances in the field of resin‐based cements, which are reflected in the proposed classification. The term “universal cement” was disambiguated, which will help standardize the terminology used in published research.Clinical SignificanceThe classification of resin‐based cements and a better understanding of the proper terminology will help standardize the terminology in published research, as well as improve the understanding of the clinical practitioners of the different indications and possible modalities of use of the available cements.

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Interactions of two phosphate ester monomers with hydroxyapatite and collagen fibers and their contributions to dentine bond performance

Cited by 14 publications

References 54 publications

Polyphenols Can Improve Resin-Dentin Bond Durability by Promoting Amorphous Calcium Phosphate Nanoparticles to Backfill the Dentin Matrix

Polyphenols Can Improve Resin-Dentin Bond Durability by Promoting Amorphous Calcium Phosphate Nanoparticles to Backfill the Dentin Matrix

Machine Learning Analysis of Microtensile Bond Strength of Dental Adhesives

Resin composite cements: Current status and a novel classification proposal

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