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Smaller pore size, greater porosity, higher water uptake, and swelling ratio were achieved by incorporating CSNPs and DEX-loaded CSNPs. The cytotoxicity study was performed for the L929 fibroblast cell line. The drug release kinetics study was performed on a prepared drug delivery system. Finally, the release test results showed a suitable extended-release of DEX from the carrier over 16 days. Overall, the developed drug-releasing system can be a promising candidate for drug delivery applications.Combination chemotherapy regimens have been put forward to achieve a synergistic effect and reduce drug doses for the clinical applications of cancer treatment. One of the principal approaches for killing cancer cells involves triggering apoptotic cell death with anti-cancer drugs. Nevertheless, the efficacy of apoptosis induction in tumors is often restricted on account of intrinsic or acquired resistance of cancer cells to apoptosis. Ferroptosis, which involves reactive oxygen species (ROS), is another way to regulate cell death. Doxorubicin (DOX), a commonly used chemotherapeutic agent, can enter the nucleus and destroy tumor cells while also affecting mitochondria by producing semiquinone radicals. Therefore, a drug system combining ferroptosis and apoptosis, bridged by DOX-induced ROS, was proposed to be designed. Herein, we employed a facile and effective self-assembly method to prepare DOX-loaded nanocomplexes by DOX, Pluronic F-68, tannic acid (TA), and iron ions. TA and iron ions could not only improve the stability of nanocarrier but also facilitate achieving a ferroptotic effect. As a result, DOX@F-68/TA/Fe3+ nanocomplexes showed a strong pro-apoptotic effect as well as an increase in intracellular oxidative stress. The improved oxidative stress further resulted in the ferroptosis of tumor cells. In vivo experiments demonstrated that DOX@F-68/TA/Fe3+ efficiently targeted the tumor following intravenous injection and successfully inhibited tumor development.The methanolic and water extracts of Carapa procera leaves and stem barks were screened for their phytochemical content using a multi-technique approach. The extracts were also assessed for their in vitro antioxidant capacity along with their anti-diabetic (α-amylase, α-glucosidase), anti-tyrosinase, anti-elastase and anti-cholinesterase (AChE, BChE) activities. Furthermore, antibacterial and antifungal effects were determined against several bacterial and fungal strains. Data Integration Analysis for Biomarker discovery using Latent components (DIABLO) integrative analysis was conducted on collected data to determine the influence of extraction solvents and plant parts on phytochemical content, antioxidant properties and enzyme inhibitory properties of C. procera samples. Additionally, the major identified compounds were screened as modulators of multiple pathways involved in human diseases via Gene Ontology (GO) enrichment analysis. Results showed that methanolic stem bark extract exhibited the most potent ABTS scavenging, Cu2+ and Fe3+ reducing power, total antioxidant capacity and Fe2+ chelating power and displayed the highest total flavanol content. Methanolic extracts of leaves and stem barks were abounded with phenolics and had the greatest anti-AChE, anti-BChE, anti-tyrosinase and anti-elastase activities. IPI-145 in vivo A significant antifungal activity was observed, with the lowest minimum inhibitory concentration and minimum fungicidal values of 0.07 and 0.15 mg/mL, respectively. DIABLO integrative analysis suggested that the phytochemical content and biological activities varied significantly within the plant parts and were influenced by types of solvent used. GO enrichment analysis on the main bioactive compounds showed modulation of multiple pathways associated with cancer. Obtained results demonstrated that stem bark and leaves of C. procera can be considered as promising sources of bioactive molecules with high pharmacological values.

To empirically corroborate vendor-provided gradient nonlinearity (GNL) characteristics and demonstrate efficient GNL bias correction for human brain apparent diffusion coefficient (ADC) across 3T MR systems and spatial locations.

Spatial distortion vector fields (DVF) were mapped in 3D using a surface fiducial array phantom for individual gradient channels on three 3T MR platforms from different vendors. Measured DVF were converted into empirical 3D GNL tensors and compared with their theoretical counterparts derived from vendor-provided spherical harmonic (SPH) coefficients. To illustrate spatial impact of GNL on ADC, diffusion weighted imaging using three orthogonal gradient directions was performed on a volunteer brain positioned at isocenter (as a reference) and offset superiorly by 10-17cm (>10% predicted GNL bias). The SPH tensor-based GNL correction was applied to individual DWI gradient directions, and derived ADC was compared with low-bias reference for human brain white matter (WM) ROIs.

Empiric and predicted GNL errors were comparable for all three studied 3T MR systems, with <1.0% differences in the median and width of spatial histograms for individual GNL tensor elements. Median (±width) of ADC (10

mm

/s) histograms measured at isocenter in WM reference ROIs from three MR systems were 0.73±0.11, 0.71±0.14, 0.74±0.17, and at off-isocenters (before versus after GNL correction) were respectively 0.63±0.14 versus 0.72±0.11, 0.53±0.16 versus 0.74±0.18, and 0.65±0.16 versus 0.76±0.18.

The phantom-based spatial distortion measurements validated vendor-provided gradient fields, and accurate WM ADC was recovered regardless of spatial locations and clinical MR platforms using system-specific tensor-based GNL correction for routine DWI.

The phantom-based spatial distortion measurements validated vendor-provided gradient fields, and accurate WM ADC was recovered regardless of spatial locations and clinical MR platforms using system-specific tensor-based GNL correction for routine DWI.This study aimed to define the taxonomic position and structure of a novel, taxonomically unique group of 26 Acinetobacter strains, provisionally designated Taxon 24 (T24). The strains were recovered from soil and freshwater ecosystems (n = 21) or animals (n = 5) in Czechia, Scotland, Germany, the Netherlands and Turkey between 1993 and 2015. They were non-glucose-acidifying, nonhemolytic, nonproteolytic, growing at 32 °C and on acetate and ethanol as single carbon sources, but not on 4-hydroxybenzoate and mostly not at 37 °C. Their whole-genome sequences were 3.0-3.7 Mb in size, with GC contents of 39.8-41.3%. Based on core genome phylogenetic analysis, the 26 strains formed a distinct clade within the genus Acinetobacter, with strongly supported subclades termed T24A (n = 11), T24B (n = 8), T24C (n = 2), T24D (n = 3) and T24E (n = 2). The internal genomic ANIb values for these subclades were >94.8%, while the ANIb values between them were less then 92.5%. The results of MALDI-TOF MS-based analyses agreed with this classification.