Background: Antibiotic resistance in Escherichia coli is a major concern for public health, as it reduces options to treat infections such at urinary tract infection (UTI). Green tea (Camellia sinensis) and other natural plant products have been of interest for their ability to modify antibiotic susceptibility of bacteria, a capacity largely attributed to bioactive polyphenols. Objective: The purpose of this work was to investigate in vitro the potential effect of green tea leaf ethanol extract on the antibiotic susceptibility of E. coli isolates. Materials and Methods: Green tea leaves was extracted using ethanol and re-dissolved 1% DMSO. Five concentrations of green tea leaves ethanol extract 0.60, 0.50, 0.30, 0.16 and 0.08 g/mL were studied. E. coli isolates were detected by biochemical procedures and further tested using a VITEK 2 compact analyzer according to their biological profile; susceptibility to different antibiotic types was also established. Results: Exposure to green tea leaf ethanol extract at 0.16g/ml and 0.08 g/mL concentrations was associated with notable changes in the antibiotic susceptibility profile of E. coli. The observed alterations included a shift from a generally susceptible profile to an extensively drug-resistant (XDR) phenotype under the experimental conditions. Conclusion: Findings suggest that green tea leaf ethanol extract may modulate E. coli antibiotic resistance profile in vitro, indicating potential relationship between plant compounds and microbial antibacterial resistance mechanisms necessitating additional exploration
Empirical and statistical methodologies have been established to acquire accurate permeability identification and reservoir characterization, based on the rock type and reservoir performance. The identification of rock facies is usually done by either using core analysis to visually interpret lithofacies or indirectly based on well-log data. The use of well-log data for traditional facies prediction is characterized by uncertainties and can be time-consuming, particularly when working with large datasets. Thus, Machine Learning can be used to predict patterns more efficiently when applied to large data. Taking into account the electrofacies distribution, this work was conducted to predict permeability for the four wells, FH1, FH2, F
... Show MoreBackground: Economic Globalization affects work condition by increasing work stress. Chronic work stress ended with burnout syndrome.
Objectives: To estimate the prevalence of burnout syndrome and the association of job title, and violence with it among physicians in Baghdad, and to assess the burnout syndrome at patient and work levels by structured interviews.
Subjects and Methods: A cross section study was conducted on Physicians in Baghdad. Sampling was a multistage, stratified sampling to control the confounders in the design phase. A mixed qualitative and quantitative
... Show MoreThis work investigates the impacts of eccentric-inclined load on ring footing performance resting on treated and untreated weak sandy soil, and due to the reduction in the footing carrying capacity due to the combinations of eccentrically-inclined load, the geogrid was used as reinforcement material. Ring radius ratio and reinforcement depth ratio parameters were investigated. Test outcomes showed that the carrying capacity of the footing decreases with the increment in the eccentric-inclined load and footing radius ratio. Furthermore, footing tilt and horizontal displacement increase with increasing the eccentricity and inclination angle, respectively. At the same time, the increment in the horizontal displacement due t
... Show MoreThe study objective was to conduct Pharmacoeconomics study (cost-effective analysis) between infliximab reference (Remicade) and its biosimilar (Remsima) in patients with rheumatoid arthritis (RA) in Iraqi hospitals.
This is a retrospective multicenter pharmacoeconomic analysis conducted at two large teaching governmental hospitals in Baghdad, Iraq which provided infliximab to patients with RA. Data were collected from patient’s medical records and face-to-face interviews with the patients from December 2021 to April 2022.
The study included 57 patients with rheumatoid arthritis (RA). The patients were categorized into two groups according to the type of infliximab they received over 30 weeks: 27 patients received
... Show MoreThis work involves separating and studying the aminoacylase-1 (ACY1) of amniotic fluid from healthy pregnant, mainly one peak with higher activity has been isolated by DEAE-Cellulose ion exchange from the proteinous supernatant produced by deposition of proteins using ammonium sulfate (65%) after dialysis. The purification folds reaching to 19 folds also gave one protein peak when injected into the gel filtration column, a high ACY1 purity was obtained, with 38 folds of purification. It was found that the molecular weight of the isolated ACY1 was up to 46698 Dalton when using gel chromatography technique.The effect of ACY1 isolate was studied on rats with oxidative stress caused by lead acetate(LA) at 40 mg / kg body weight and compare
... Show MoreThe behavior corrosion inhibition of aluminum alloy (Al6061) in acidic (0.1 M HCl) and saline (3.5% NaCl) solutions was investigated in the absence and the presence of expired diclofenac sodium drug (DSD) as a corrosion inhibitor. The influence of temperature and was studied using electrochemical techniques. In addition, scanning electron microscopy (SEM) was used to study the surface morphology. The results showed that DSD acted as a powerful inhibitor in acidic solutions, while a moderate influence was observed with saline one. Maximum inhibition efficiency was 99.99 and 83.32% in acidic and saline solutions at 150 ppm of DSD, respectively. Corrosion current density that obtained using electrochemical technique was increased with temperat
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