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We used these optimized LC-(S)TEM imaging conditions to systematically characterize the wet etching of silica and metal(oxide)-silica core-shell nanoparticles with cores of gold and iron oxide, which are representative of many other core-silica-shell systems. The LC-(S)TEM method reliably reproduced the etching patterns of Stöber, water-in-oil reverse microemulsion (WORM), and amino acid-catalyzed silica particles that were reported before in the literature. Furthermore, we directly visualized the formation of yolk-shell structures from the wet etching of Au@Stöber silica and Fe3O4@WORM silica core-shell nanospheres.Non-viral delivery systems are generally of low efficiency, which limits their use in gene therapy and editing applications. We previously developed a technology termed glycosaminoglycan (GAG)-binding enhanced transduction (GET) to efficiently deliver a variety of cargos intracellularly; our system employs GAG-binding peptides, which promote cell targeting, and cell penetrating peptides (CPPs), which enhance endocytotic cell internalization. Herein, we describe a further modification by combining gene delivery and magnetic targeting with the GET technology. We associated GET peptides, plasmid (p)DNA, and iron oxide superparamagnetic nanoparticles (MNPs), allowing rapid and targeted GET-mediated uptake by application of static magnetic fields in NIH3T3 cells. This produced effective transfection levels (significantly higher than the control) with seconds to minutes of exposure and localized gene delivery two orders of magnitude higher in targeted over non-targeted cell monolayers using magnetic fields (in 15 min exposure delivering GFP reporter pDNA). More importantly, high cell membrane targeting by GET-DNA and MNP co-complexes and magnetic fields allowed further enhancement to endocytotic uptake, meaning that the nucleic acid cargo was rapidly internalized beyond that of GET complexes alone (GET-DNA). Magnetofection by MNPs combined with GET-mediated delivery allows magnetic field-guided local transfection in vitro and could facilitate focused gene delivery for future regenerative and disease-targeted therapies in vivo.
Cytomegalovirus (CMV) reactivation after placing left ventricular assist device (LVAD) is not a well-known entity with few cases reported in the literature. Here, we are presenting three cases of CMV reactivation after placing LVAD. see more of all reported cases in the literature was done.
Three cases of advanced heart failure with reduced ejection fraction (Stage D9) had placed (LVAD) at the American University of Beirut Medical Center, a tertiary care centre in Lebanon. Within the first 2 weeks after LVAD implantation, the three patients spiked a high-grade fever for which sepsis workup was done, and antibiotics were initiated. Despite the escalating antibiotic regimens, the three patients had a persistent high-grade fever. The negative cultures and the continuous fever prompted an investigation for other causes of fever. Therefore, CMV polymerase chain reaction in blood was performed and revealed high titres. Patients received a full course of treatment with ganciclovir. The fever and the CMV titres declined after completing the antiviral therapy with better clinical outcomes. This raises the concern of CMV reactivation in LVAD patients.
This case series and literature review highlight the epidemiology, incidence, and management of CMV reactivation among LVAD patients. Awareness about this clinical entity should be raised, especially with the increase of LVAD surgeries.
This case series and literature review highlight the epidemiology, incidence, and management of CMV reactivation among LVAD patients. Awareness about this clinical entity should be raised, especially with the increase of LVAD surgeries.Glycosylinositolphosphorylceramides (GIPCs) are the predominant lipid in the outer leaflet of the plasma membrane. Characterized GIPC glycosylation mutants have severe or lethal plant phenotypes. #link# However, the function of the glycosylation is unclear. Previously, we characterized Arabidopsis thaliana GONST1 and showed that it was a nucleotide sugar transporter which provides GDP-mannose for GIPC glycosylation. gonst1 has a severe growth phenotype, as well as a constitutive defense response. Here, we characterize a mutant in GONST1's closest homolog, GONST2. The gonst2-1 allele has a minor change to GIPC headgroup glycosylation. Like other reported GIPC glycosylation mutants, gonst1-1gonst2-1 has reduced cellulose, a cell wall polymer that is synthesized at the plasma membrane. The gonst2-1 allele has increased resistance to a biotrophic pathogen Golovinomyces orontii but not the necrotrophic pathogen Botrytis cinerea. Expression of GONST2 under the GONST1 promoter can rescue the gonst1 phenotype, indicating that GONST2 has a similar function to GONST1 in providing GDP-D-Man for GIPC mannosylation.
Automated dietary assessment tools such as ASA24
are useful for collecting 24-hour recall data in large-scale studies. Modifications made during manual data cleaning may affect nutrient intakes.
We evaluated the effects of modifications made during manual data cleaning on nutrient intakes of interest energy, carbohydrate, total fat, protein, and fiber.
Differences in mean intake before and after data cleaning modifications for all recalls and average intakes per subject were analyzed by paired
-tests. The Chi-squared test was used to determine whether unsupervised recalls had more open-ended text responses that required modification than supervised recalls. We characterized food types of text response modifications. Correlations between predictive energy requirements, measured total energy expenditure (TEE), and mean energy intake from raw and modified data were examined.
After excluding 11 recalls with invalidating technical errors, 1499 valid recalls completed by 393 subjects were included in thr research question and nutrients of interest when deciding to make cleaning modifications.
Manual modifications can change mean nutrient intakes for an entire cohort and individuals. However, modifications did not significantly affect the correlation of energy intake with predictive requirements and measured expenditure. Investigators can consider their research question and nutrients of interest when deciding to make cleaning modifications.
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