Effects of silver diamine fluoride preparations (SDFs) on cariogenic biofilm formation on root dentin (RD) were investigated. Streptococcus mutans (S. mutans) biofilms were formed on bovine RD blocks coated with one of three the SDFs (38%-SDF, 3.8%-SDF and 35%-SDF+potassium-iodide; SDF+KI) and a non-coated Control which were quantified (spectrometric-measurement) and thickness measured (optical coherence tomography) after 20 h. Bacterial viability test (BacLight) and biofilm-morphometry (SEM) of 2 h biofilms were also performed. The amounts of biofilms (bacteria and water insoluble glucan) and the thickness of biofilm were minimum on 38%-SDF specimen; 3.8%-SDF and SDF+KI had significantly more than that, but had significantly less than Control (p<0.05). Most S. mutans cells found dead and morphology damaged by 38%-SDF. Some dead bacteria and remarkably damaged biofilms were observed in case of 3.8%-SDF and SDF+KI. Inhibition potential of 3.8%-SDF and SDF+KI on S. mutans biofilm formation is almost similar, although not equivalent to 38%-SDF.
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http://dx.doi.org/10.4012/dmj.2020-341 | DOI Listing |
J Nanobiotechnology
January 2025
Department of Interventional Radiology, Key Laboratory of Interventional Radiology of Henan Province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450001, China.
Excessive vascularization during tracheal in-stent restenosis (TISR) is a significant but frequently overlooked issue. We developed an anti-inflammatory coupled anti-angiogenic airway stent (PAGL) incorporating anlotinib hydrochloride and silver nanoparticles using advanced electrospinning technology. PAGL exhibited hydrophobic surface properties, exceptional mechanical strength, and appropriate drug-release kinetics.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
J Imaging Inform Med
January 2025
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA.
Continuous and consistent access to quality medical imaging data stimulates innovations in artificial intelligence (AI) technologies for patient care. Breakthrough innovations in data-driven AI technologies are founded on seamless communication between data providers, data managers, data users and regulators or other evaluators to determine the standards for quality data. However, the complexity in imaging data quality and heterogeneous nature of AI-enabled medical devices and their intended uses presents several challenges limiting the clinical translation of novel AI technologies.
View Article and Find Full Text PDFIsotopes Environ Health Stud
January 2025
Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA, USA.
Invasive silver carp () threaten Mississippi River basin ecosystems due to their ability to outcompete native species. Stable carbon (δC) and nitrogen (δN) isotope analysis has been used to study how silver carp impact native ecosystems, but lipids in fish tissues commonly bias their δC values. Chemical lipid extraction and mathematical equations that normalise δC values for lipid content can account for this bias, but have not been assessed for silver carp.
View Article and Find Full Text PDFEnviron Pollut
January 2025
School of Environment, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P. O. Box 2871, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
Silver-containing nanoparticles (AgCNPs) have attracted increasing concerns because of their potential adverse effects on aquatic ecosystems. However, minimal information is available regarding their concentration, distribution, and speciation in the actual environment. In this work, different species of AgCNPs, including silver nanoparticles (AgNPs), silver chloride (AgCl NPs) and silver sulfide (AgS NPs) in water and sediment samples from Taihu Lake were analyzed by a multistep selective dissolution method combined with single-particle inductively coupled plasma mass spectrometry.
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