MIL-53(Fe)-Glucose self-assembled complex for enhanced angiogenesis and endothelial tip cell activation.

Critical bone defects continue to pose a critical challenge in clinical settings. Facilitating rapid and thorough vascularization during bone regeneration is advantageous for the repair of substantial bone defects. Presently, the application of carriers to deliver pharmacological agents or growth factors to bone deficiency areas is an effective strategy for promoting vascularization within bone tissue, with the selection of appropriate carriers being of paramount importance.

Activating Molybdenum Peroxide Scissors for Converting Polyamide Plastic into Low Carbon Alcohols.

Direct chemical conversion of plastic waste into low-carbon oxygenates, rather than carbon dioxide, with renewable energy, is important yet challenging. Due to high C─X (X═C, H, N) bond energy, fully optimized catalysts are required to enable precise bond cleavage for boosted efficiency and selectivity. Here, adaptable and recyclable molybdenum peroxide photocatalysts that demonstrate chemical scissors for the selective conversion of polyamide to alcohols are reported.

Harnessing the power of traceable system C-GAP: homologous-targeting to fire up T-cell immune responses with low-dose irradiation.

While radiotherapy-induced immunogenic cell death (ICD) holds potential for enhancing cancer immunotherapy, the conventional high-dose irradiation often leads to an immunosuppressive microenvironment and systemic toxicity. Therefore, a biomimetic nanoplatform cell membrane coated-nitrogen-doped graphene quantum dots combined with Au nanoparticles (C-GAP) was developed in this study. Firstly, homologous and traceable targeting features of C-GAP enables tumor-selective accumulation, providing reference for the selection of the timing of radiotherapy.

CircAars-Engineered ADSCs Facilitate Maxillofacial Bone Defects Repair Via Synergistic Capability of Osteogenic Differentiation, Macrophage Polarization and Angiogenesis.

Adipose-derived stem cells (ADSCs) hold significant promise in bone tissue engineering due to their self-renewal capacity and easy accessibility. However, their limited osteogenic potential remains a critical challenge for clinical application in bone repair. Emerging evidence suggests that circular RNAs (circRNAs) play a key role in regulating stem cell fate and osteogenesis.

[Research Progress on Drug Intervention to Inhibit Dental Plaque Biofilm Formation by Based on the Concept of Ecological Prevention of Dental Caries].

Dental caries is the local destruction of hard tooth tissue caused by acidic byproducts generated by cariogenic bacteria, primarily , which ferment free sugars in the presence of host factors, dietary components, and environmental conditions. A main feature of dental caries is the formation of dental plaque biofilm, which significantly improves the resistance of bacteria to drugs and host immunity. Traditional anti-caries drugs mainly exert anti-biofilm functions indirectly through antibacterial activities.

Erratum to "Development and validation of machine learning based prediction model for postoperative pain risk after extraction of impacted mandibular third molars" [Heliyon 9(12), December 2023, e23052].

[This corrects the article DOI: 10.1016/j.heliyon.

Tetrahedral framework nucleic acid-based small-molecule inhibitor delivery for ecological prevention of biofilm.

Biofilm formation constitutes the primary cause of various chronic infections, such as wound infections, gastrointestinal inflammation and dental caries. While preliminary achievement of biofilm inhibition is possible, the challenge lies in the difficulty of eliminating the bactericidal effects of current drugs that lead to microbiota imbalance. This study, utilizing in vitro and in vivo models of dental caries, aims to efficiently inhibit biofilm formation without inducing bactericidal effects, even against pathogenic bacteria.

Development and validation of machine learning based prediction model for postoperative pain risk after extraction of impacted mandibular third molars.

Background: Predicting postoperative pain risk in patients with impacted mandibular third molar extractions is helpful in guiding clinical decision-making, enhancing perioperative pain management, and improving the patients' medical experience. This study aims to develop a prediction model based on machine learning algorithms to identify patients at high risk of postoperative pain after tooth extraction.

Methods: We conducted a prospective cohort study.

The effect of root orientation on inferior alveolar nerve injury after extraction of impacted mandibular third molars based on propensity score-matched analysis: a retrospective cohort study.

Background: The injury of the inferior alveolar nerve (IAN) is one of the most serious complications of impacted mandibular third molars (IMTMs) extraction. The influence of the root orientation of IMTMs on IAN injury is still controversial. A deeper understanding of the risk factors of IAN injury conduces to better prevention of IAN injury.

Association of enhanced circulating trimethylamine N-oxide with vascular endothelial dysfunction in periodontitis patients.

Background: Accumulating evidences indicate that periodontitis is closely associated with endothelial dysfunction. Trimethylamine-N-oxide (TMAO), a harmful microbiota generated metabolite, has been implicated as a nontraditional risk factor for impaired endothelial function. However, whether increased circulating levels of TMAO in periodontitis patients induces endothelial dysfunction remains unknown.

Mapping the Magnetic Field Intensity of Light with the Nonlinear Optical Emission of a Silicon Nanoparticle.

To detect the magnetic component of arbitrary unknown optical fields, a candidate probe must meet a list of demanding requirements, including a spatially isotropic magnetic response, suppressed electric effect, and wide operating bandwidth. Here, we show that a silicon nanoparticle satisfies all these requirements, and its optical magnetism driven multiphoton luminescence enables direct mapping of the magnetic field intensity distribution of a tightly focused femtosecond laser beam with varied polarization orientation and spatially overlapped electric and magnetic components. Our work establishes a powerful nonlinear optics paradigm for probing unknown optical magnetic fields of arbitrary electromagnetic structures, which is not only essential for realizing subwavelength-scale optical magnetometry but also facilitates nanophotonic research in the magnetic light-matter interaction regime.