The assessment of biomaterial susceptibility to infection relies mainly on the analysis of macroscopic bacterial responses to material interactions, usually under static conditions. However, new technologies permit a more profound understanding of the molecular basis of bacteria-biomaterial interactions. In this study, we combine both conventional phenotypic analysis - using confocal microscopy - and genotypic analysis - using the relative reverse transcription polymerase chain reaction (RT-PCR) - to examine the interaction of bacteria with OH- and CH3-terminated glass surfaces, under dynamic flow conditions. Bacterial adhesion, as well as slime production and biofilm formation, was much higher on the CH3-terminated than on the OH-terminated glass - for four Staphylococcus epidermidis strains. This was in agreement with the icaA and icaD gene expression results that showed increased expression for the bacteria adhering to the CH3-terminated substrate, especially under the higher shear rate. Therefore, the combined effect of the surface chemistry and shear significantly influence the adhesion and phenotype of interacting bacterial cells, while there are putative links between phenotypic responses to bacteria-material interactions and gene-expression profile alterations. This indicates that analysis of gene expression not only can greatly refine our knowledge of bacteria-material interactions, but also yield novel biomarkers for potential use in biocompatibility assessment.
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http://dx.doi.org/10.22203/ecm.v024a28 | DOI Listing |
Neuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
Methods: A total of 123 participants, including BD (n = 31), MDD (n = 48), and healthy controls (HC, n = 44), underwent high-resolution 3D T1-weighted imaging.
Inorg Chem
January 2025
State Key Laboratory of Clean and Efficient Coal Utilization, Taiyuan University of Technology, Taiyuan 030024, China.
The low sulfur selectivity of Fe-based HS-selective catalytic oxidation catalysts is still a problem, especially at a high O content. This is alleviated here through anchoring FeO nanoclusters on UiO-66 via the formation of Fe-O-Zr bonds. The introduced FeO species exist in the form of Fe and Fe.
View Article and Find Full Text PDFLangmuir
January 2025
School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.
Aerogels hold great potential in thermal insulation, catalytic supports, adsorption, and separation, due to their low density, high porosity, and low thermal conductivity. However, their inherent mechanical fragility and limited control functionality pose substantial challenges that hinder their practical use. In this study, a strategy is developed for the fabrication of cross-linked aramid nanofiber aerogels (cANFAs) by combining internanofiber surface cross-linking with ice-templating techniques.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States.
Hydrogen spillover is an important process in catalytic hydrogenation reactions, facilitating H activation and modulating surface chemistry of reducible oxide catalysts. This study focuses on the unveiling of platinum-induced hydrogen spillover on monoclinic tungsten trioxide (γ-WO), employing ambient pressure X-ray photoelectron spectroscopy, density functional theory calculations and microkinetic modeling to investigate the dynamic evolution of surface states at varied temperatures. At room temperature, hydrogen spillover results in the formation of W and hydrogen intermediates (hydroxyl species and adsorbed water), facilitated by Pt metal clusters.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Vita Stråket 12, Floor 4, 41346, Gothenburg, Sweden.
Background: Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. This study aims to determine the feasibility and preliminary effectiveness of a novel intervention combining MPR, virtual reality (VR), and serious gaming to improve upper limb function in people with chronic stroke.
Methods: In this single case experimental A-B-A design study, six individuals with chronic stroke and moderate to severe upper limb impairment completed 18, 2 h sessions, 3 times a week.
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