Electrospun mupirocin loaded polyurethane fiber mats for anti-infection burn wound dressing application

<p>Wound care treatment is a serious issue faced by the medical staffs due to its variety and complexity. Wound dressings are typically used to manage the various types of wounds. In this study, polyurethane (PU) fibers containing mupirocin (Mu), a commonly used antibiotic in wound care, were fabricated via electrospinning technique. The aim of this study was to develop biomedical electrospun fiber scaffolds for preventing wound infections with good compatibility and to demonstrate their applications as anti-infective burn wound dressings. The surface morphology of fibers was obtained by scanning electron microscopy. FT-IR spectra, water vapor transmission rate, and drug release study <i>in vitro</i> were tested to demonstrate the fiber scaffold characteristic. The prepared PU/Mu composite scaffolds had satisfactory antibacterial activity especially against <i>Staphylococcus aureus</i>. The cell studies revealed that the scaffolds were biocompatible and safe for cell attachment. Histological and immunohistochemical examinations were performed in rats, and the results indicated the histological analysis of tissue stained with H&E showed no obvious inflammation reaction. The results indicated that the electrospun scaffolds were capable of loading and delivering drugs, and could be potentially used as novel antibacterial burn wound dressings.</p

Data_Sheet_1_The causal effect of HbA1c on white matter brain aging by two-sample Mendelian randomization analysis.DOCX

BackgroundPoor glycemic control with elevated levels of hemoglobin A1c (HbA1c) is associated with increased risk of cognitive impairment, with potentially varying effects between sexes. However, the causal impact of poor glycemic control on white matter brain aging in men and women is uncertain.MethodsWe used two nonoverlapping data sets from UK Biobank cohort: gene-outcome group (with neuroimaging data, (N = 15,193; males/females: 7,101/8,092)) and gene-exposure group (without neuroimaging data, (N = 279,011; males/females: 122,638/156,373)). HbA1c was considered the exposure and adjusted “brain age gap” (BAG) was calculated on fractional anisotropy (FA) obtained from brain imaging as the outcome, thereby representing the difference between predicted and chronological age. The causal effects of HbA1c on adjusted BAG were studied using the generalized inverse variance weighted (gen-IVW) and other sensitivity analysis methods, including Mendelian randomization (MR)-weighted median, MR-pleiotropy residual sum and outlier, MR-using mixture models, and leave-one-out analysis.ResultsWe found that for every 6.75 mmol/mol increase in HbA1c, there was an increase of 0.49 (95% CI = 0.24, 0.74; p-value = 1.30 × 10−4) years in adjusted BAG. Subgroup analyses by sex and age revealed significant causal effects of HbA1c on adjusted BAG, specifically among men aged 60–73 (p-value = 2.37 × 10−8).ConclusionPoor glycemic control has a significant causal effect on brain aging, and is most pronounced among older men aged 60–73 years, which provides insights between glycemic control and the susceptibility to age-related neurodegenerative diseases.</p

Table_1_The causal effect of HbA1c on white matter brain aging by two-sample Mendelian randomization analysis.XLSX

BackgroundPoor glycemic control with elevated levels of hemoglobin A1c (HbA1c) is associated with increased risk of cognitive impairment, with potentially varying effects between sexes. However, the causal impact of poor glycemic control on white matter brain aging in men and women is uncertain.MethodsWe used two nonoverlapping data sets from UK Biobank cohort: gene-outcome group (with neuroimaging data, (N = 15,193; males/females: 7,101/8,092)) and gene-exposure group (without neuroimaging data, (N = 279,011; males/females: 122,638/156,373)). HbA1c was considered the exposure and adjusted “brain age gap” (BAG) was calculated on fractional anisotropy (FA) obtained from brain imaging as the outcome, thereby representing the difference between predicted and chronological age. The causal effects of HbA1c on adjusted BAG were studied using the generalized inverse variance weighted (gen-IVW) and other sensitivity analysis methods, including Mendelian randomization (MR)-weighted median, MR-pleiotropy residual sum and outlier, MR-using mixture models, and leave-one-out analysis.ResultsWe found that for every 6.75 mmol/mol increase in HbA1c, there was an increase of 0.49 (95% CI = 0.24, 0.74; p-value = 1.30 × 10−4) years in adjusted BAG. Subgroup analyses by sex and age revealed significant causal effects of HbA1c on adjusted BAG, specifically among men aged 60–73 (p-value = 2.37 × 10−8).ConclusionPoor glycemic control has a significant causal effect on brain aging, and is most pronounced among older men aged 60–73 years, which provides insights between glycemic control and the susceptibility to age-related neurodegenerative diseases.</p