The potential use of nanozymes as an antibacterial agents in oral infection, periodontitis, and peri-implantitis

Journal of Nanobiotechnology, Год журнала: 2024, Номер 22(1)

Опубликована: Апрель 25, 2024

Abstract Several studies suggest that oral pathogenic biofilms cause persistent infections. Among these is periodontitis, a prevalent condition brought on by plaque biofilm. It can even result in tooth loss. Furthermore, the accumulation of germs around dental implant may lead to peri-implantitis, which damages surrounding bone and gum tissue. bacterial biofilm contamination causes soft tissue irritation adjacent resorption, severely compromising health. On decontaminated surfaces, however, re-osseointegration cannot be induced standard removal techniques such as mechanical cleaning antiseptic treatment. A family nanoparticles known nanozymes (NZs) comprise highly catalytically active multivalent metal components. The most often employed NZs with antibacterial activity are those have peroxidase (POD) activity, among other types NZs. Since less expensive, more easily produced, stable than natural enzymes, they hold great promise for use various applications, including treating microbial significantly contributed studying success rates periodontal health maintenance periodontics implantology. An extensive analysis research their applications managing conditions, caries, pulp disorders, ulcers, infections mouth. To combat bacteria, this review concentrates imitate enzymes implantology periodontology. With view future, there several ways might used treat disorders antibacterially. Graphical

Язык: Английский

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Recent advances in nanomaterial-based biosensor for periodontitis detection

Journal of Biological Engineering, Год журнала: 2024, Номер 18(1)

Опубликована: Апрель 18, 2024

Periodontitis, a chronic inflammatory condition caused by bacteria, often causes gradual destruction of the components that support teeth, such as alveolar bone, cementum, periodontal ligament, and gingiva. This ultimately results in teeth becoming loose eventually falling out. Timely identification has crucial role preventing controlling its progression. Clinical measures are used to diagnose periodontitis. However, now, there is hunt for alternative diagnostic monitoring methods due progress technology. Various biomarkers have been assessed using multiple bodily fluids sample sources. Furthermore, conventional categorization factors do not provide significant insights into present disease activity, severity amount tissue damage, future development, responsiveness treatment. In recent times, growing utilization nanoparticle (NP)-based detection strategies create quick efficient assays. Every single one these platforms leverages distinct characteristics NPs identify Plasmonic include metal NPs, quantum dots (QDs), carbon base nanozymes, exceptionally potent light absorbers scatterers. These find application labeling, surface-enhanced spectroscopy, color-changing sensors. Fluorescent function photostable sensitive instruments capable labeling various biological targets. article presents comprehensive summary latest developments effective detect

Язык: Английский

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Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis

Frontiers in Oncology, Год журнала: 2025, Номер 14

Опубликована: Янв. 7, 2025

Breast cancer (BC), as a leading cause of mortality in women, demands robust prediction models for early diagnosis and personalized treatment. Artificial Intelligence (AI) Machine Learning (ML) algorithms offer promising solutions automated survival prediction, driving this study's systematic review meta-analysis. Three online databases (Web Science, PubMed, Scopus) were comprehensively searched (January 2016-August 2023) using key terms ("Breast Cancer", "Survival Prediction", "Machine Learning") their synonyms. Original articles applying ML BC clinical data included. The quality studies was assessed via the Qiao Quality Assessment tool. Amongst 140 identified articles, 32 met eligibility criteria. Analyzed methods achieved mean validation accuracy 89.73%. Hybrid models, combining traditional modern techniques, mostly considered to predict rates (40.62%). Supervised learning dominant paradigm (75%). Common methodologies included pre-processing, feature extraction, dimensionality reduction, classification. Deep (DL), particularly Convolutional Neural Networks (CNNs), emerged preferred algorithm within these methodologies. Notably, 81.25% relied on internal validation, primarily K-fold cross-validation train/test split strategies. findings underscore significant potential AI-based enhancing predictions. However, ensure robustness generalizability predictive future research should emphasize importance rigorous external validation. Such endeavors will not only validate efficacy across diverse populations but also pave way integration into practice, ultimately contributing patient care improved outcomes. https://www.crd.york.ac.uk/prospero/, identifier CRD42024513350.

Язык: Английский

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Deep study on autonomous learning techniques for complex pattern recognition in interconnected information systems

Computer Science Review, Год журнала: 2024, Номер 54, С. 100666 - 100666

Опубликована: Сен. 20, 2024

Язык: Английский

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Review of carbonaceous nanoparticles for antibacterial uses in various dental infections

Nanotoxicology, Год журнала: 2025, Номер unknown, С. 1 - 36

Опубликована: Янв. 30, 2025

The mouth cavity is the second most complex microbial community in human body. It composed of bacteria, viruses, fungi, and protozoa. An imbalance oral microbiota may lead to various conditions, including caries, soft tissue infections, periodontitis, root canal peri-implantitis (PI), pulpitis, candidiasis, denture stomatitis. Additionally, several locally administered antimicrobials have been suggested for dentistry surgical non-surgical applications. main drawbacks are increased antimicrobial resistance, risk upsetting natural microbiota, hypersensitivity responses. Because their unique physiochemical characteristics, nanoparticles (NPs) can circumvent antibiotic-resistance mechanisms exert action via a variety new bactericidal routes. anti-microbial properties, carbon-based NPs becoming more effective antibacterial agents. Periodontitis, PI, dentin other dental diseases among conditions that be treated using carbon (CNPs) like graphene oxide dots. outline scientific development multifunctional CNPs concerning disorders will given before talking about significant influence on health. Some these illnesses include pulp disorders, PI. We also review remaining research application barriers possible future problems.

Язык: Английский

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Investigating the enhancement of neural differentiation of adipose-derived mesenchymal stem cell with Foeniculum vulgare nanoemulsions: An in vitro research

Tissue and Cell, Год журнала: 2025, Номер 94, С. 102806 - 102806

Опубликована: Фев. 28, 2025

Язык: Английский

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The current advancements in chitosan nanoparticles in the management of non-surgical periodontitis treatment

Nanotoxicology, Год журнала: 2025, Номер unknown, С. 1 - 35

Опубликована: Март 28, 2025

Because of the intricate interactions between bacteria internalization in periodontal cells and chronic inflammatory activation, disorders remain difficult. Furthermore, primary cause adult tooth loss is periodontitis, one most common dental worldwide. The key to preventing periodontitis has been reduce development generation substances that eventually erode tissue surrounding supporting teeth. there are several disadvantages treating with antibiotics administered systemically. A naturally occurring polymer antibacterial anti-inflammatory properties chitosan (CS). CS highly interested disease as a medicine carrier due its actions against anaerobic microorganisms possible properties. Due multifactorial pathophysiology combining antimicrobial medications single drug delivery method preferable administering them separately since it increases therapeutic range when numerous organisms present. As result, CS-based technologies, such gels, micro, nanoparticles (NPs), were created transport drugs pocket over an extended period. This research provides overview existing benefits CSNP on periodontitis. information might be used create substitutes based for infections.

Язык: Английский

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The bone microenvironment: new insights into the role of stem cells and cell communication in bone regeneration

Stem Cell Research & Therapy, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 12, 2025

Mesenchymal stem cells (MSCs) play a crucial role in bone formation and remodeling. Intrinsic genetic factors extrinsic environmental cues regulate their differentiation into osteoblasts. Within the microenvironment, complex network of biochemical biomechanical signals orchestrates homeostasis regeneration. In addition, crosstalk among MSCs, immune cells, neighboring cells-mediated by extracellular vesicles non-coding RNAs (such as circular micro RNAs) -profoundly influences osteogenic Recent studies have explored specific signaling pathways that contribute to effective regeneration, highlighting potential manipulating microenvironment enhance MSC functionality. The integration advanced biomaterials, gene editing techniques, controlled delivery systems is paving way for more targeted efficient regenerative therapies. Furthermore, artificial intelligence could improve tissue engineering, optimize biomaterial design, enable personalized treatment strategies. This review explores latest advancements emphasizing intricate interplay molecules. By providing comprehensive overview these mechanisms clinical implications, we aim shed light on future research directions this rapidly evolving field.

Язык: Английский

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The Role of Dental-derived Stem Cell-based Therapy and Their Derived Extracellular Vesicles in Post-COVID-19 Syndrome-induced Tissue Damage

Stem Cell Reviews and Reports, Год журнала: 2024, Номер 20(8), С. 2062 - 2103

Опубликована: Авг. 16, 2024

Язык: Английский

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Leveraging AI-Enabled Information Systems for Healthcare Management

Journal of Computer Information Systems, Год журнала: 2024, Номер unknown, С. 1 - 28

Опубликована: Окт. 15, 2024

Artificial Intelligence (AI) is transforming healthcare management by improving decision-making, developing patient results, and maximizing productivity. Nevertheless, limitations in incorporating analyzing AI-enabled Information Systems (ISs) impede consistent adoption, mainly because of the lack established methodologies, diverse function evaluations, complication data. To cope with these issues, this research proposes a novel taxonomy IS for management. We analyzed 36 cutting-edge articles, dividing them into six main categories: Electronic Health Records (EHR), Clinical Decision Support (CDSS), Medical Imaging Systems, Telemedicine Platforms, Drug Discovery, Wearable Monitoring Systems. Our considered factors include datasets, simulation environments, key parameters such as accuracy, precision, specificity, sensitivity, F1 score. The results show that EHR systems lead to accuracy (93.85%), precision (92.55%), specificity (92.73%), score (94.33%), while excel sensitivity (94.58%) Discovery dataset size (81,666).

Язык: Английский

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