Photodegradation of textile pollutants by nanocomposite membranes of polyvinylidene fluoride integrated with polyaniline–titanium dioxide nanotubes

In this research article, the PVDF (polyvinylidene fluoride)–PANI (polyaniline)–titanium nanotube (TNT) based nanocomposite membranes were synthesised through phase inversion method. The composition and structural properties of nanocomposite membranes were characterised by X-ray photoelectron spectroscopy (XPS), Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), atomic force microscopy (AFM) and scanning electron microscope (SEM). The significant properties of synthesised membranes such as distribution of pore size, thermal properties, mechanical properties, and photocatalytic behaviour of membranes were also studied. The hydrophilic properties of the composite membranes increased with filler content (PANI-TNT) and results in improved pure water flux (484.8 ± 2.9 L/m2 h−1) compared to that (312.0 ± 1.91 L/m2 h−1) of the pure PVDF membrane. The pure PVDF and nanocomposite membrane were further analysed in terms of their filtration properties such as adsorption of dyes (methyl orange, Allura red) and UV self-cleaning properties. The newly developed nanocomposite membranes showed excellent pollutant removal efficiency (~90%). The synthesised nanocomposite membranes also showed photocatalytic activities due to the presence of TNTs, and adsorption of methyl orange (MO) reduces significantly with the UV light irradiations. The UV self-cleaning property of the composite membrane was further confirmed due to their high flux recovery ratio of about 94%. The results show that embedded PANI-TNT within nanocomposite was photo-catalytically active and degrade the dye molecules from the surface of the nano composite membrane

Effects of monensin on serum parameters in Gezel sheep

Five male Gezel lambs received different levels of monensin (0, 10, 30 and 60 mg/kg DMI) with their diet in a cross over design. The experimental diet consisted of 70% concentrate and 30% roughage. Blood samples were taken from the jugular vein 1 hour before and 2 hours after feeding and their sera immediately separated to measure the serumic concentrations of glucose, triacylglycerol, total protein, albumin/globulin ratio, blood urea nitrogen, and also aspartate aminotransfrase (AST) and gamma glutamyltransfrase (GGT) activity. Rumen fluid was also collected by rumenocentesis following feeding and its pH determined. During the experimental period, clinical examination was performed and the results were recorded. Significant differences in mean serumic levels of triacylglycerol, albumin/globulin ratio, blood urea nitrogen and the activity of AST and GGT were not seen before and after feeding although there were significant differences in this respect between different levels of monensin (

Molecular mechanisms highlighting the potential role of COVID-19 in the development of neurodegenerative diseases

Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In addition to the pulmonary manifestations, COVID-19 patients may present a wide range of neurological disorders as extrapulmonary presentations. In this view, several studies have recently documented the worsening of neurological symptoms within COVID-19 morbidity in patients previously diagnosed with neurodegenerative diseases (NDs). Moreover, several cases have also been reported in which the patients presented parkinsonian features after initial COVID-19 symptoms. These data raise a major concern about the possibility of communication between SARS-CoV-2 infection and the initiation and/or worsening of NDs. In this review, we have collected compelling evidence suggesting SARS-CoV-2, as an environmental factor, may be capable of developing NDs. In this respect, the possible links between SARS-CoV-2 infection and molecular pathways related to most NDs and the pathophysiological mechanisms of the NDs such as Alzheimer's disease, vascular dementia, frontotemporal dementia, Parkinson's disease, and amyotrophic lateral sclerosis will be explained

Leptin Receptor mRNA in Bull Ejaculated Spermatozoa

Leptin is a potential satiety factor and plays an important role in both metabolism and reproduction; both leptin and its receptor (Ob-R) have been detected in human spermatozoa, thus suggesting leptin involvement in male gamete physiology. This experiment was designed to investigate leptin receptor [the long isoform (Ob-Rb)] mRNA in bull ejaculated spermatozoa by RT-PCR and southern hybridization. Total RNA was isolated from ejaculated spermatozoa and purified by different methods. Although the concentrations of RNA determined by all methods (except SDS/Proteinase K, lowest amount of RNA recovery) were similar, ethidium bromide staining was only detectable in lanes containing the samples isolated by sodium dodecyl sulphate (SDS) and SDS/citric acid extraction which produced higher RNA concentration. Ob-Rb mRNA was detected in all samples using southern hybridization after RT-PCR; it was shown only in three of them by RT-PCR. We may conclude that Ob-Rb mRNA is present in bull spermatozoa and leptin perhaps exerts physiological effects, as already demonstrated in humans and pigs

Estimating rare disease prevalence and costs in the USA: a cohort study approach using the Healthcare Cost Institute claims data

Objective The study capitalised on national insurance claims data to gather information on patient characteristics and associated costs to better understand the diagnosis and treatment of rare diseases (RDs).Materials and methods Data from the Healthcare Cost Institute (HCCI) data enclave were analysed using R statistical software and filtered by the International Classification of Diseases, 10th edition (ICD-10), current procedural terminology codes and the National Drug Code associated with 14 RDs and disease-modifying therapy options. Data were aggregated by prevalence, costs, patient characteristics and effects of treatment modification.Results The prevalence and costs of RDs in the HCCI commercial claims database varied significantly across the USA and between urban and rural areas. Pharmacy costs increased when a new treatment was initiated, while non-pharmacy costs decreased.Discussion Prevalence and cost estimations are highly variable due to the small number of patients with RDs, and the lack of a national healthcare database limits inferences for such patient populations. Accurate assessments require a diverse population, which can likely be achieved by analysing multiple databases. RDs face challenges in prevalence estimation due to a lack of specific disease coding and a small patient population, compounded by issues like data standardisation and privacy concerns. Addressing these through improved data management in healthcare systems, increased research and education will lead to better diagnosis, care management and quality of life for patients with RD.Conclusion Data on patients with RD in the HCCI database were analysed for prevalence, costs, patient characteristics and treatment modification effects. Significant heterogeneity in each of these factors was found across RDs, geography and locality (eg, urban and rural). Building capabilities to use machine learning to accelerate the diagnosis of RDs would vastly improve with changes to healthcare data, such as standardising data input, linking databases, addressing privacy issues and assigning ICD-10 codes for all RDs, resulting in more robust data for RD analytics