Prevalence and antimicrobial susceptibility pattern of bacterial uropathogens among adult patients in Madinah, Saudi Arabia

Abstract Background Urinary tract infection (UTI) is considered one of the most prevalent infections that may lead to many renal complications. They account for almost 10% of all infections in Saudi Arabia, making them the second most common cause of emergency department admissions. Bacterial pathogens, primarily Escherichia coli, Klebsiella spp., Enterococcus spp., Proteus spp., and Staphylococcus spp. are the most causative agents of UTI. This study aims to evaluate the prevalence and antimicrobial susceptibility patterns of uropathogens in adult patients from Madinah, Saudi Arabia. Methods A retrospective cross-sectional study was performed using data collected from patients who visited King Fahad General Hospital in Madinah, Saudi Arabia. Data included 16,803 urine bacterial cultures and their antimicrobial susceptibility profiles collected between January 2019 and October 2021. Results Among the 16,803 tested samples, 3937 (23.4%) showed positive results for urine bacterial cultures. UTI prevalence was slightly higher in women (52.1%) than men (47.9%). Escherichia coli (29.8%) was the most prevalent, followed by Klebsiella spp. (23.2%) and Pseudomonas spp. (8.4%). As for Gram-positive bacteria, Enterococcus spp. (10.8%) were most common, followed by Streptococcus spp. (8%) and Staphylococcus spp. (3.3%). Gram-negative bacteria exhibited high resistance rates toward aztreonam (> 83.3%), ampicillin (78.8%), and cephalexin (68.5%). Enterococcus spp. displayed elevated resistance rates (> 62.3%) against ciprofloxacin, gentamicin, and tetracycline. Conversely, Streptococcus spp. showed substantial resistance rates (> 76.6%) toward colistin and trimethoprim/sulfamethoxazole. Conclusion To optimize therapy and minimize the risk of multidrug-resistant uropathogenic infections, physicians should consider the local epidemiological trends and antimicrobial resistance patterns of prevalent uropathogens prior to initiating any empirical antibacterial therapy

Data_Sheet_1_Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases.pdf

Healthcare is a topic of significant concern within the academic and business sectors. The COVID-19 pandemic has had a considerable effect on the health of people worldwide. The rapid increase in cases adversely affects a nation's economy, public health, and residents' social and personal well-being. Improving the precision of COVID-19 infection forecasts can aid in making informed decisions regarding interventions, given the pandemic's harmful impact on numerous aspects of human life, such as health and the economy. This study aims to predict the number of confirmed COVID-19 cases in Saudi Arabia using Bayesian optimization (BOA) and deep learning (DL) methods. Two methods were assessed for their efficacy in predicting the occurrence of positive cases of COVID-19. The research employed data from confirmed COVID-19 cases in Saudi Arabia (SA), the United Kingdom (UK), and Tunisia (TU) from 2020 to 2021. The findings from the BOA model indicate that accurately predicting the number of COVID-19 positive cases is difficult due to the BOA projections needing to align with the assumptions. Thus, a DL approach was utilized to enhance the precision of COVID-19 positive case prediction in South Africa. The DQN model performed better than the BOA model when assessing RMSE and MAPE values. The model operates on a local server infrastructure, where the trained policy is transmitted solely to DQN. DQN formulated a reward function to amplify the efficiency of the DQN algorithm. By examining the rate of change and duration of sleep in the test data, this function can enhance the DQN model's training. Based on simulation findings, it can decrease the DQN work cycle by roughly 28% and diminish data overhead by more than 50% on average.</p

Phytochemistry, antioxidant, anticancer, and acute toxicity of traditional medicinal food Biarum bovei (Kardeh)

Abstract Background The Biarum species (Kardeh) has been consumed as a traditional functional food and medicine for decades. The current study investigates the phytochemistry, in-vitro and in-vivo bioactivities of methanol extracts of B. bovei. Methods The Gas-chromatography mass spectrophotometer (GS/GS-MS) was used to analyze the phytochemical profile of the methanol extracts of B. bovei leaves and corms. The B. bovei extracts (BBE) were also investigated for in-vitro antioxidant, anticancer, and in-vivo acute toxicity (2000 mg/kg) activities. Results The chemical profiling of BBE revealed mainly fatty acids, phytosterol, alcohols, and hydrocarbon compounds. Namely, Linoleic acid, eliadic acid, palmitic acid, 22,23-dihydro-stigmasterol, and campesterol. The antioxidant activity of BBE ranged between 0.24–3.85 μg TE/mL based on different assays. The extracts also exhibited significant anticancer activity against DU-145 (prostate cancer cells), MCF-7 (human breast adenocarcinoma), and HeLa (human cervical cancer) cell lines with IC50 values ranging between 22.73–44.24 μg/mL. Rats fed on 2000 mg/kg dosage of BBE showed absence of any toxicological sign or serum biochemical changes. Conclusion The detected phytochemicals and bioactivities of BBE scientifically backup the folkloric usage as an important source of nutraceuticals and alternative medicine for oxidative stress-related diseases and carcinogenesis inhibition

Pinostrobin attenuates azoxymethane-induced colorectal cytotoxicity in rats through augmentation of apoptotic Bax/Bcl-2 proteins and antioxidants

Objectives: Pinostrobin (5-hydroxy-7-methoxyflavanone; PN) is a natural active ingredient with numerous biological activities extensively utilized in tumour chemotherapy. The present study investigates the chemo-preventive potentials of PN on azoxymethane-mediated colonic aberrant crypt foci in rats. Methods: Sprague Dawley rats clustered into five groups, normal control (A) and cancer controls were subcutaneously injected with normal saline and 15 mg/kg azoxymethane, respectively, and nourished on 10% tween 20 and fed on 10% tween 20; reference control (C), injected with 15 mg/kg azoxymethane and injected (intraperitoneal) with 35 mg/kg 5-fluorouracil (5-FU); D and E rat groups received a subcutaneous injection of 15 mg/kg azoxymethane and nourished on 30 and 60 mg/kg of PN, respectively. Results: The acute toxicity trial showed a lack of any abnormal signs or mortality in rats ingested with 250 and 500 mg/kg of PN. The gross morphology of colon tissues revealed significantly lower total colonic aberrant crypt foci incidence in PN-treated rats than that of cancer controls. Histological examination of colon tissues showed increased aberrant crypt foci availability with bizarrely elongated nuclei, stratified cells and higher depletion of the submucosal glands in cancer controls. PN treatment caused positive modulation of apoptotic (Bax and Bcl-2) proteins and inflammatory cytokines (TNF-α, IL-6 and IL-10). Moreover, rats fed on PN had significantly higher antioxidants (superoxide dismutase) and lower malondialdehyde concentrations in their colon tissue homogenates. Conclusion: The chemoprotective efficiency of PN against azoxymethane-induced aberrant crypt foci is shown by lower aberrant crypt foci values and higher aberrant crypt foci inhibition percentage, possibly through augmentation of genes responsible for apoptotic cascade and inflammations originating from azoxymethane oxidative stress insults