Background: Volumetric features of gingival crevicular fluid (GCF) are under the influence of many factors, including sampling variables. Standardizing such factors may enable a more precise methodology. Thus, analysis of the possible impact of the clinical periodontal status and the distinct location of sampling sites on fluid volume was performed.
Methods: Clinical parameters were recorded, and fluid samples were obtained from 931 maxillary sites. The potential site-specific volumetric differences among healthy, gingivitis, and periodontitis sites; between multirooted or single-rooted teeth and mesio-buccal or disto-buccal sampling sites; and the correlations between volume and clinical measures were statistically analyzed.
Results: Although volume increased in a disease-related pattern (healthy < gingivitis < periodontitis; P <0.05), the distribution range of volume was widespread, with prominent overlaps between the different clinical periodontal conditions. Multirooted teeth presented more fluid volume, and even mesio-buccal or disto-buccal sites exhibited some volumetric differences (P <0.05). Constant correlations between volume and clinical parameters could be observed only at gingivitis sites (P <0.05).
Conclusions: The spectrum of fluid volume is disease related in general. However, the wide range of volumetric distribution, the site-specific nature, and the clear impact of the distinct sampling site on volume are important volumetric features of this biologic fluid. Whenever possible, standardization of the extent of probing depth, degree of gingival inflammation, and distinct sampling area is likely to improve the reliability of GCF methodology.
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http://dx.doi.org/10.1902/jop.2007.060331 | DOI Listing |
J Am Chem Soc
January 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen 361005, China.
Advancements in the development of fast-charging and long-lasting microstructured alloying anodes with high volumetric capacities are essential for enhancing the operational efficiency of sodium-ion batteries (SIBs). These anodes, however, face challenges such as declined cyclability and rate capability, primarily due to mechanical degradation reduced by significant volumetric changes (over 252%) and slow kinetics of sodium-ion storage. Herein, we introduce a novel anode design featuring densely packed bismuth (Bi) embedded within highly conductive carbon microspheres to overcome the aforementioned challenges.
View Article and Find Full Text PDFBMJ Open
December 2024
INSERM UMR1231 Génétique des Anomalies du Développement (GAD), Université de Bourgogne, Dijon, France.
Introduction: The megalencephaly capillary malformation polymicrogyria (MCAP syndrome) results from mosaic gain-of-function variants. The main clinical features are macrocephaly, somatic overgrowth, neurodevelopmental delay and brain anomalies. Alpelisib (Vijoice) is a recently FDA-approved PI3Kα-specific inhibitor for patients with PIK3CA-related overgrowth spectrum (PROS).
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Department of Physics, Institute for Sustainable Energy and Environment, Virginia Commonwealth University, Richmond, VA, 23284, USA.
We propose a new stable three-dimensional (3D) porous and metallic boron nitride anode material, named h-BN, with good ductility for sodium-ion batteries (SIBs). Based on first-principles calculations and a tight-binding model, we demonstrate that the metallicity originates from the synergistic contribution of the p-orbital of the sp-hybridized B and N atoms, while the ductility is due to the unique configurations of B-B and N-N dimers in the structure. More importantly, this boron nitride allotrope exhibits a high reversible capacity of 582.
View Article and Find Full Text PDFSensors (Basel)
January 2025
NUS-ISS, National University of Singapore, Singapore 119615, Singapore.
Recognizing the action of plastic bag taking from CCTV video footage represents a highly specialized and niche challenge within the broader domain of action video classification. To address this challenge, our paper introduces a novel benchmark video dataset specifically curated for the task of identifying the action of grabbing a plastic bag. Additionally, we propose and evaluate three distinct baseline approaches.
View Article and Find Full Text PDFInvestig Clin Urol
January 2025
Department of Urology, Mansoura Urology and Nephrology Center, Mansoura University, Mansoura, Egypt.
Purpose: To create a computer-aided prediction (CAP) system to predict Wilms tumor (WT) responsiveness to preoperative chemotherapy (PC) using pre-therapy contrast-enhanced computed tomography (CECT).
Materials And Methods: A single-center database was reviewed for children <18 years diagnosed with WT and received PC between 2001 and 2021. Patients were excluded if pre- and post-PC CECT were not retrievable.
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