Search Results (6)

Background and Objectives: Bacterial infections amongst COVID-19 patients could be associated with worsened outcomes. This study aimed to investigate the efficacy of colistin antibiotic in multidrug-resistant (MDR) Gram-negative (-ve) secondary bacterial infections among hospitalized COVID-19 patients. Materials and Methods: In this multicentered retrospective study, we analyzed data from the medical records of 116 patients diagnosed with COVID-19 infection and secondary Gram-negative MDR bacterial respiratory infections. Results: We compared those assigned to colistin versus non-colistin-based antimicrobial therapy. The two arms of the study were similar in baseline clinical features, demographics, and Gram-negative pathogens’ distribution. Acinetobacter baumannii (51.7%) was the major pathogen, followed by Klebsiella pneumonia (26.7%). Patients who received colistin-based antimicrobial regimen showed a non-significant difference compared to non-colistin antimicrobial (NCA) therapy (p > 0.05) in the main outcomes. Nephrotoxicity was significantly higher in the IV colistin group, compared to the control (34.1% and 15.3%, p = 0.018). There were substantial differences observed in the levels of serum creatinine and urea among the study arms (p = 0.029 and <0.001, respectively). Conclusions: The combination of colistin with other antimicrobial agents showed comparable results to that of NCA regimens in hospitalized COVID-19 patients with superinfections with multidrug-resistant bacterial isolates; however, there was a notably elevated incidence of nephrotoxicity with colistin antimicrobial therapy. Further randomized controlled trials are needed to assess the therapeutic benefits and tolerability of colistin antimicrobial therapy. Full article

Objective: We investigated the effect of L-carnitine (LC) on cuprizone (Cup) demyelinating rat model and its possible underlying mechanisms. Methods: Thirty male Sprague–Dawley (SD) rats were randomly allocated to three groups: the normal control group; the Cup group, in which Cup was administrated at a dose of 450 mg/kg per day orally via gastric gavage for 5 weeks; and the Cup + LC group, which received the same dose of Cup as the Cup group, except that the rats were treated additionally with LC 100 mg/kg/day orally for 5 weeks. The nerve conduction (NCV) in isolated sciatic nerves was measured; then, the sciatic nerves were isolated for H&E staining and electron microscope examination. The expression of myelin basic protein (MBP), IL-1β, p53, iNOS, and NF-KB by immunohistochemistry was detected in the isolated nerves. A PCR assay was also performed to detect the expression of antioxidant genes Nrf2 and HO-1. In addition, the level of IL-17 was measured by ELISA. Results: There was a significant reduction in NCV in the Cup group compared to normal rats (p < 0.001), which was significantly improved in the LC group (p < 0.001). EM and histopathological examination revealed significant demyelination and deterioration of the sciatic nerve fibers, with significant improvement in the LC group. The level of IL-17 as well as the expression of IL-1β, p53, iNOS, and NF-KB were significantly increased, with significant reduction expression of MBP in the sciatic nerves (p < 0.01), and LC treatment significantly improved the studied parameters (p < 0.01). Conclusion: The current study demonstrates a neuroprotective effect of LC in a Cup-induced demyelinating rat model. This effect might be due to its anti-inflammatory and antioxidant actions. Full article

(1) Background: During 2019, the COVID-19 pandemic was threatening healthcare services and workers, and acquiring immunity was an option to stop or limit the burden of this pandemic. Herd immunity was a top priority worldwide as the virus was spreading rapidly. It was estimated that 67% of the total global population should be immunized against COVID-19 to achieve herd immunity. The aim of the current study is to investigate different perceptions of healthcare workers in the Kingdom of Bahrain and Egypt using an online survey in an attempt to evaluate their awareness and concerns regarding new variants and booster doses. (2) Methods: This study conducted a survey on healthcare workers in the Kingdom of Bahrain and Egypt about their perception and concerns on the COVID-19 vaccines. (3) Results: The study found that out of 389 healthcare workers 46.1% of the physicians were not willing to take the booster doses (p = 0.004). Physicians also did not support taking the COVID-19 vaccine as an annual vaccine (p = 0.04). Furthermore, to assess the association between the type of vaccine taken with the willingness of taking a booster vaccine, healthcare workers beliefs on vaccine effectiveness (p = 0.001), suspension or contact with patients (p = 0.000), and infection after COVID-19 vaccination (p = 0.016) were significant. (4) Conclusion: Knowledge about vaccine accreditation and regulation should be dispersed more widely to ensure that the population has a positive perception on vaccine safety and effectiveness. Full article

Hepatocellular carcinoma (HCC) is the second prominent cause of cancer-associated death worldwide. Usually, HCC is diagnosed in advanced stages, wherein sorafenib, a multiple target tyrosine kinase inhibitor, is used as the first line of treatment. Unfortunately, resistance to sorafenib is usually encountered within six months of treatment. Therefore, there is a critical need to identify the underlying reasons for drug resistance. In the present study, we investigated the proteomic and metabolomics alterations accompanying sorafenib resistance in hepatocellular carcinoma Hep3B cells by employing ultra-high-performance liquid chromatography quadrupole time of flight mass spectrometry (UHPLC-QTOF-MS). The Bruker Human Metabolome Database (HMDB) library was used to identify the differentially abundant metabolites through MetaboScape 4.0 software (Bruker). For protein annotation and identification, the Uniprot proteome for Homo sapiens (Human) database was utilized through MaxQuant. The results revealed that 27 metabolites and 18 proteins were significantly dysregulated due to sorafenib resistance in Hep3B cells compared to the parental phenotype. D-alanine, L-proline, o-tyrosine, succinic acid and phosphatidylcholine (PC, 16:0/16:0) were among the significantly altered metabolites. Ubiquitin carboxyl-terminal hydrolase isozyme L1, mitochondrial superoxide dismutase, UDP-glucose-6-dehydrogenase, sorbitol dehydrogenase and calpain small subunit 1 were among the significantly altered proteins. The findings revealed that resistant Hep3B cells demonstrated significant alterations in amino acid and nucleotide metabolic pathways, energy production pathways and other pathways related to cancer aggressiveness, such as migration, proliferation and drug-resistance. Joint pathway enrichment analysis unveiled unique pathways, including the antifolate resistance pathway and other important pathways that maintain cancer cells’ survival, growth, and proliferation. Collectively, the results identified potential biomarkers for sorafenib-resistant HCC and gave insights into their role in chemotherapeutic drug resistance, cancer initiation, progression and aggressiveness, which may contribute to better prognosis and chemotherapeutic outcomes. Full article

Wireless networks connect various devices through radio waves in which the network connection may have different structures. Moreover, the network structure is determined based on the placement areas of the network elements, which can be affected by the building and their locations. However, the numerical characteristic which describe the features of the real environment and allow them to be related to the properties of the model are still a challenge that has not been well addressed. To this end, in this paper, we analyze the modeling problems related to the structure of user placement in the access network. Our proposed solution is based on a description of the user environment structure in which cities in the form of buildings and constructions are considered as a typical environment. We propose a new model for addressing the wireless network structure in an efficient manner in which the features of the environment are considered, which are numerically expressed in the form of the Hurst parameter or fractal dimension. In addition, the fractal dimension, geometric fractals, and the characteristics of the user’s distribution territory and urban development are efficiently utilized. Then, we analyze the influence of the fractal properties of the environment on the structure of promising communication networks; in particular, on the structure of the Internet of Things network. Finally, simulation results proved that the proposed model is considered as a beneficial solution for modeling mobile communication and wireless access networks, including fifth-generation networks. Full article

A quanta image sensor (QIS) is a class of single-photon imaging devices that measure light intensity using oversampled binary observations. Because of the stochastic nature of the photon arrivals, data acquired by QIS is a massive stream of random binary bits. The goal of image reconstruction is to recover the underlying image from these bits. In this paper, we present a non-iterative image reconstruction algorithm for QIS. Unlike existing reconstruction methods that formulate the problem from an optimization perspective, the new algorithm directly recovers the images through a pair of nonlinear transformations and an off-the-shelf image denoising algorithm. By skipping the usual optimization procedure, we achieve orders of magnitude improvement in speed and even better image reconstruction quality. We validate the new algorithm on synthetic datasets, as well as real videos collected by one-bit single-photon avalanche diode (SPAD) cameras. Full article