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Abstract This study provides an in-depth examination of forecasting the concentration of pharmaceutical compounds utilizing the input features (coordinates) r and z through a range of machine learning models. Purification of pharmaceuticals via vacuum membrane distillation process was carried out and the model was developed for prediction of separation efficiency based on hybrid approach. Dataset was collected from mass transfer analysis of process to obtain concentration distribution in the feed side of membrane distillation and used it for machine learning models. The dataset has undergone preprocessing, which includes outlier detection using the Isolation Forest algorithm. Three regression models were used including polynomial regression (PR), k-nearest neighbors (KNN), and Tweedie regression (TWR). These models were further enhanced using the Bagging ensemble technique to improve prediction accuracy and reduce variance. Hyper-parameter optimization was conducted using the Multi-Verse Optimizer algorithm, which draws inspiration from cosmological concepts. The Bagging-KNN model had the highest predictive accuracy (R2 = 0.99923) on the test set, indicating exceptional precision. The Bagging-PR model displayed satisfactory performance, with a slightly reduced level of accuracy. In contrast, the Bagging-TWR model showcased the least accuracy among the three models. This research illustrates the effectiveness of incorporating bagging and advanced optimization methods for precise and dependable predictive modeling in complex datasets.

Monitoring migrating raptors is among the most cost-effective and simple methods for forecasting shift in the ecosystem and environment. The Western Marsh Harrier Circus aeruginosus(Linnaeus, 1758) (Accipitriformes, Accipitridae) represents a widely wintering, on-passage raptor over Iraq's southern Mesopotamian marshlands. However, recent information related to this species’ population trend, as well as its spatial and temporal migration patterns, is not fully known. From October 2021–June 2022, nine ornithological field surveys were undertaken in the CentralMarshes (UNESCO Site, RAMSAR Site, and Iraq's National Park). Three transect lines were chosen, and the surveying plot covered 40,000 hectares (400 Km2). Our recent surveys recorded a total of 64 harriers passing over the Central Marshes. The species density was determined using a distance sampling method; perpendicular distances were gauged using a digital range finder. During our surveys, the Central Marshes hosted a migratory population of ≈3,508-21,499 harriers. In addition, we assessed the breeding status of this bird species in the surveyed area; however, no confirmed breeding was found. Furthermore, illegal hunting/trapping were identified as the main threat facing the species in Iraq.

Recent decades have seen a shortage of water, which has led scientists to concentrate on solar desalination technologies. The present study examines the solar water desalination system with inclined steps, while considering various phase change materials (PCMs). The findings suggest that the incorporation of PCM generally enhances the productivity of the solar desalination system. Additionally, the combination of nanoparticles has been used to PCM, which is a popular technique utilized nowadays to improve the efficiency of these systems. The current investigation involves the transient modeling of a solar water desalination system, utilizing energy conservation equations. The equations were solved using the Runge–Kutta technique of the ODE23s order. The temperatures of the salt water, the absorbent plate of the glass cover, and the PCM were calculated at each time. Without a phase changer, the rate at which fresh water is produced is around 5.15 kg/m2·h. The corresponding mass flow rates of paraffin, n-PCM I, n-PCM III, n-PCM II, and stearic acid are 22.9, 28.9, 5.9, 11.9, and 73 kg/m2·h. PCMs, with the exception of stearic acid, exhibit similar energy efficiency up to an ambient temperature of around 29°. However, at temperatures over 29°, n-PCM II outperforms other PCM. HIGHLIGHTS The present study examines the solar water desalination system with inclined steps, while considering various phase change materials (PCMs).; The findings suggest that the incorporation of PCM generally enhances the productivity of the solar desalination system.;

Objectives: To evaluate the clinical outcomes of anidulafungin for candidemia treatment in critically ill patients with obesity. Methods: A multicenter, retrospective cohort study was conducted in Saudi Arabia for critically ill adults with candidemia who received anidulafungin. Patients with obesity have a body mass index ≥30 kg/m2. The primary outcome was the clinical cure rate. Results: A total of 146 patients were included, 64 of whom were obese. There were no statistically significant differences in the clinical cure rate (P = 0.63), microbiological cure rate (P = 0.27), or the median time for a clinical cure (P = 0.13) for patients with obesity compared to non-obese patients. The median time for a microbiological cure was longer in non-obese patients than in patients with obesity (P = 0.04). The median hospital length of stay and the median mechanical ventilation durations were numerically longer in patients with obesity. Conclusions: Clinical and microbiological cure rates and time for clinical cure were statistically similar for both groups. Considering the study's limitations (especially with a small sample size), it is uncertain if patients with obesity have similar effectiveness to non-obese patients. Future studies with larger sample sizes are warranted to evaluate if obesity negatively impacts anidulafungin's clinical outcomes for candidemia.

Staphylococcus aureus is a bacterium responsible for resistance to multiple drugs and the efflux system is widely studied among the resistance mechanisms developed by this species. The present study evaluates the inhibition of the MepA efflux pump by thiadiazine-derived compounds. For this purpose, thiadiazine-derived compounds (IJ-14 to IJ-20) were tested against S. aureus K2068 strains. Microdilution tests were initially conducted to assess the Minimum Inhibitory Concentration (MIC) of the compounds and their efflux pump inhibition activity. In addition, fluorimetry tests were performed using BrEt emission and tests were conducted to inhibit the expression of the mepA gene. This involved comparing the bacterial gene expression with the antibiotic alone to the gene expression after combining compounds (IJ-17 and IJ-20) with the antibiotic. Furthermore, membrane permeability assessment tests and in silico molecular docking tests were performed. It was observed that the IJ17 and IJ20 compounds exhibited direct activity against the tested strain. The IJ17 compound produced significant results in the gene inhibition tests, which was also evidenced through the membrane permeability alteration test. These findings suggest that thiadiazine-derived compounds have promising effects against one of the main resistance mechanisms, with the IJ17 compound presenting observable mechanisms of action.

The major aim of the current study is to develop a data-driven methodology based on green processing for estimation of drug solubility in supercritical carbon dioxide as the solvent. Several machine learning algorithms were utilized to simulate Capecitabine solubility in supercritical carbon dioxide for green pharmaceutical manufacturing applications which can enhance the solubility of drugs by this method of processing. In the models, the inputs are pressure (P) and temperature (T), and the target output (Y) is solubility. Tree-based ensemble models of RF (Random Forest), ET (Extra Tree), and GB (Gradient Boosting) were selected for modeling in this research in combination with the optimizer to model the process. The hyper-parameters of models were optimized to reduce the error in the fitting. The coefficient of determination (R2 score) values obtained more than 0.96 and RMSE (root mean square error) for ET, GB, and RF models are 2.91, 2.37, and 4.45, respectively. Based on accurate analyses of results Gradient Boosting selected for primary model in this research. The models were able to estimate the drug solubility which can be used to estimate solubility for a wide range, thereby saving time and costs of measurements.

Continuous use of oral NSAIDs can damage mucosal membrane, which results in decreased bioavailability and non-compliance with the therapy. But the use of sustained release drug delivery systems might offer a solution. Objective was to synthesize mucoadhesive SR microspheres by using different combinations of pectin (PEC) and its thiolated derivative (T-PEC3100) for improved loxoprofen (LS) permeation. Thiolated pectin (T-PEC) was synthesized by the esterification method using thioglycolic acid. Thiolation was confirmed by thiol group quantification and charring point determination. Further characterization was done by Fourier Transform Infrared spectroscopy (FTIR), and Scanning electron microscopy (SEM). Ex-vivo mucoadhesion study was performed to confirm the improved characteristics. Microspheres (MS) were prepared using different ratios of PEC/T-PEC by solvent evaporation method and their particle size and surface morphology were evaluated. Mucus permeation study was carried out using the trans-well plate method. Sustained release behavior of prepared microspheres was investigated through the edema inhibition method in albino rats. T-PEC3100 was considered the optimum formulation for further evaluation and contained maximum thiol group content. FTIR spectra showed a characteristic peak of –SH and charring point was also changed considerably confirming the successful thiolation of PEC. SEM results showed spherical microspheres in the size range of 2–10 μm. Thiol-rich formulation of MS exhibited more than 80 % release after 12 h and maximum absorbable dose (MAD) was calculated as 400 μg % inhibition of edema in MS treated group was slowly attained initially but the reduction in inflammation was detected even after 24 h as compared to control group. Promising results from In-vivo edema inhibition study suggest the possible use of these thiolated MS in formulating sustained release formulation for arthritis.

This research work aimed to identify the main components that are responsible for the sedative properties of hop cones and allocate their targets. This investigation was performed through molecular docking, molecular dynamic simulations, root mean square fluctuation (RMSF) analysis, and DFT calculation techniques. The tested compounds from Humulus lupulus were compared to diazepam and paroxetine. Molecular docking showed that two-thirds of the compounds had a good affinity to gamma-aminobutyric acid (GABA), outperforming diazepam, while only three surpassed paroxetine on the SERT. Compounds 3,5-dihydroxy-4,6,6-tris(3-methylbut-2-en-1-yl)-2-(3-methylbutanoyl)cyclohexa-2,4-dien-1-one (5) and (S,E)-8-(3,7-dimethylocta-2,6-dien-1-yl)-5,7-dihydroxy-2-(4-hydroxyphenyl)chromen-4-one (15) showed stable binding and favorable energy parameters, indicating their potential for targeting GABA receptors and the SERT. This study provides a basis for future clinical research on these promising compounds.

Ancient Egyptians (including Bedouins and Nubians) have long utilized Ziziphus spina-christi (L.), a traditional Arabian medicinal herb, to alleviate swellings and inflammatory disorders. It is also mentioned in Christian and Muslim traditions. Ziziphus spina-christi L. (Family: Rhamnaceae) is a plentiful source of polyphenols, revealing free radical scavenging, antioxidant, metal chelating, cytotoxic, and anti-inflammatory activities. Herein, different classes of the existing bioactive metabolites in Z. spina-christi L. were detected using liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the first time. The study also aimed to assess the anti-inflammatory and antifibrotic properties of Z. spina-christi L. extract against bleomycin-induced lung fibrosis in an experimental mouse model. 32 male Swiss Albino mice were assigned into 4 groups; the first and second were the normal control group and the bleomycin positive control (single 2.5 U/kg bleomycin intratracheal dose). The third and fourth groups received 100 and 200 mg/kg/day Z. spina-christi L. extract orally for 3 weeks, 2 weeks before bleomycin, and 1 week after. The bioactive metabolites in Z. spina-christi L. extract were identified as phenolic acids, catechins, flavonoids, chalcones, stilbenes, triterpenoid acids, saponins, and sterols. The contents of total phenolic compounds and flavonoids were found to be 196.62 mg GAE/gm and 33.29 mg QE/gm, respectively. In the experimental study, histopathological examination revealed that lung fibrosis was attenuated in both Z. spina-christi L.- treated groups. Z. spina-christi L. extract downregulated the expression of nuclear factor kappa B (NF-κB) p65 and decreased levels of the inflammatory markers tumor necrosis factor-alpha (TNF-α), monocyte chemoattractant protein-1 (MCP-1), and c-Jun N-terminal kinase (JNK) in lung tissue. Z. spina-christi L. also downregulated the expression of the fibrotic parameters collagen-1, alpha-smooth muscle actin (α-SMA), transforming growth factor-beta 1 (TGF-β1), matrix metalloproteinase-9 (MMP-9) and SMAD3, with upregulation of the antifibrotic SMAD7 in lung tissue. Overall, the present study suggests a potential protective effect of Z. spina-christi L. extract against bleomycin-induced lung fibrosis through regulation of the TGF-β1/SMAD pathway.

Background Chronic rhinosinusitis (CRS) is a condition that affects 5–12% of the general population. Endoscopic sinus surgery (ESS) is the preferred treatment because of its few adverse effects and highest success rates. The most common post-operative consequences include synechia, nasal blockage, and disease recurrence. Spray cryotherapy is a novel therapeutic approach with promising outcomes for the treatment of upper airway disorders. This review aimed to investigate the effects of spray cryotherapy (SCT) following ESS in patients with chronic rhinosinusitis. Methods Six electronic databases were searched for randomized clinical trials (RCTs). The selected trials were evaluated for methodological quality, and data were extracted by two independent reviewers. The Cochrane risk-of-bias tool was used to assess the quality of evidence. Results Three RCTs with 85 patients were included in the final analysis. SCT was related to -16 and -77 reductions in Lund-McKay and SNOT-22 scores after 36 weeks of follow-up, in contrast to a placebo, which showed -10.4, -65. Regarding the side effects of SCT, no adverse effects were reported, and visual assessments showed no pain, visual field loss, or any other ocular complications. Conclusions SCT is a new treatment modality after endoscopic sinus surgery that shows an effective post-operative management strategy with better post-operative scales (Lund-McKay, SNOT-22, POSE, and Lund-Kennedy) and less edema, obstruction, crusting, and inflammation with minimal or no side effects. However, further research with longer follow-ups, a larger sample size, and subjective assessment is needed to assess any possible long-term side effects.

Copaiba oil is widely used in medicine due to its antibacterial, anti-inflammatory, healing, antiviral, antiseptic and analgesic properties. Thus, the main objective of the study is to evaluate the antibacterial activity and modifier of the antibiotic action of the commercialized essential oil of four species of Copaifera spp. in combination with Ampicillin and LED lights against the multidrug-resistant strain of S. aureus (SA 10). The essential oil was obtained commercially through the dōTERRA® company. The evaluation of the antibacterial and modulating activity was performed using the microdilution methodology in a 96-well plate, using blue 415 nm, red 620 nm and yellow 590 nm LEDs and Ampicillin at an initial concentration of 1.024 µg/mL. The experiments were carried out in triplicate and submitted to ANOVA statistical analysis, considering a significant value of p

Cancer is one of the deadliest diseases to humanity. There is significant progress in treating this disease, but developing some drugs that can fight this disease remains a challenge in the field of medical research. Thirteen new 1,2,3-triazole linked tetrahydrocurcumin derivatives were synthesized by click reaction, including a 1,3-dipolar cycloaddition reaction of tetrahydrocurcumin baring mono-alkyne with azides in good yields, and their in vitro anticancer activity against four cancer cell lines, including human cervical carcinoma (HeLa), human lung adenocarcinoma (A549), human hepatoma carcinoma (HepG2), and human colon carcinoma (HCT-116) were investigated using MTT(3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyltetraz-olium bromide) assay. The newly synthesized compounds had their structures identified using NMR HRMS and IR techniques. Some of prepared compounds, including compounds 4g and 4k, showed potent cytotoxic activity against four cancer cell lines compared to the positive control of cisplatin and tetrahydrocurcumin. Compound 4g exhibited anticancer activity with a IC50 value of 1.09 ± 0.17 μM against human colon carcinoma HCT-116 and 45.16 ± 0.92 μM against A549 cell lines compared to the positive controls of tetrahydrocurcumin and cisplatin. Moreover, further biological examination in HCT-116 cells showed that compound 4g can arrest the cell cycle at the G1 phase. A docking study revealed that the potential mechanism by which 4g exerts its anti-colon cancer effect may be through inhabiting the binding of APC–Asef. Compound 4g can be used as a promising lead for further exploration of potential anticancer agents.

Inborn errors of immunity (IEI) can often be misdiagnosed early in life due to their heterogenous clinical presentations. Interleukin-1 receptor-associated kinase 4 (IRAK-4) deficiency is one of the rare innate immunodeficiency disorders. We present the case of a patient who presented at the age of 15 days with meningitis and septic shock that responded to antibiotics. She was admitted again at the age of 45 days with pseudomonas aeruginosa bacteremia that was associated with increased inflammatory markers. Her third admission was at the age of 2.5 months due to left sided peri-orbital cellulitis that was again associated with elevated inflammatory markers. At 3.5 months, she experienced left orbital cellulitis, which was complicated by extensive sinus involvement, erosion, and abscess formation in the pterygopalatine fossa. Her condition progressed to septic shock and required multiple antibiotics and surgical interventions for drainage and control of the infection source. Both abscess and blood culture were positive for pseudomonas aeruginosa. An IEI was suspected but basic immunology testing was normal. Whole Exome Sequencing was performed and a novel mutation in IRAK4 was detected. In conclusion, we highlight the importance of raising awareness among pediatricians about the potentially lethal IEI and the need to consult specialists when these diseases are suspected. Among them is IRAK-4 deficiency which can be diagnosed by sophisticated functional assays and/or genetic testing.

Artemisia nilagirica is an important medicinal plant found to exhibit several medicinal properties but the use of its leaves for combating E. coli infection has not been scientifically validated in poultry. The present study was conducted to evaluate the protective effects of methanol leaf extract of A. nilagirica (ANE) on E. coli challenged broiler chickens. Three hundred and thirty, day-old broiler chickens, were divided into 6 groups of 55 each, with group EX infected intraperitoneally (I/P) with LD50 dose of 1 × 107 cfu/ml of E. coli; group(s) EA1, EA2 and EA3 infected I/P with 1 × 107 cfu/ml of E. coli and supplemented with ANE @ 0.5, 1.0 and 2.0 g/L of drinking water, respectively; group AX were only given ANE @ 2.0 g/L in the drinking water. ANE treatment was started from day 4 and was continuously given in the drinking water up to day 21. E. coli infection was given to the birds on day 7 of their age. The effect of the plant extract was evaluated on the basis of gross, microscopic and ultrastructural alterations in E. coli challenged broiler chickens. The extract of A. nilagirica was found to show antibacterial, cardioprotective and hepatoprotective properties in a dose-dependent manner on the basis of gross and microscopic examination. The methanol extract of A. nilagirica leaves revealed no toxic effect on the hepatocytes on ultrastructural evaluation. This study demonstrates the antimicrobial, hepatoprotective and cardioprotective activities of ANE in broiler chickens infected with E. coli organism.

Industrial application of novel, green and effective liquid absorbents for improving the separation yield of CO2 greenhouse pollutant is an important milestone to reduce its emission to the atmosphere. In this research, the separation performance of three novel and green ionic liquids (ILs) including [bmim][PF6], [bmim][BF4] and [emim][etSO4] are compared with pure water to evaluate the feasibility of their employment to enhance the removal potency of CO2 through the membrane contactor. With the aim of reaching this goal, a finite element-based model and a numerical simulation are developed to solve the momentum/mass transfer equations and predict the results. Based on the modeling/simulation outcomes, the addition of the abovementioned ILs could substantially increase the separation of CO2 molecules compared to pure water. Based on the results, [bmim][BF4] is introduced as the most efficient IL with the separation efficiency of 100 % (100 % [bmim][BF4]> 99 % [bmim][PF6]> 97.5 % [emim][etSO4]> 55 % pure water). Furthermore, the effects of different operational/functional parameters (i.e., gas flow rate, porosity, fibers’ number and packing density) on the CO2 separation efficacy is comprehensively discussed.

The present study utilized molecular docking and density functional theory (DFT) approaches, and ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties to investigate the binding interactions, reactivity, stability, and drug-likeness of curcumin (1), tetrahydrocurcumin (2), and tetrahydrocurcumin derivatives (3–6) as potential anti-cancer agents. MGL (Molecular Graphic Laboratory) and Discovery Studio Visualizer (DSV) software employed for docking studies. Pharmacokinetic and pharmacodynamic (ADME-Tox) analyses were conducted using SwissADME and pKCSM web servers. Total Electron Density (TED) measurements identified molecular adsorption sites, considering various factors, including quantum chemical characteristics, to assess compound effectiveness using DFT method implanted in the Gaussian software. The binding energy (Eb) from docking simulations was used to evaluate inhibitory potential. ADMET analysis suggested favorable oral bioavailability and pharmacokinetics for all studied substances, excluding compound 4. DFT and docking investigations highlighted compounds 1, 2, and 6 as optimal scaffolds for drug design based on in silico screening tests.

Background: Surgical site infections are common and expensive infections that can cause fatalities or poor patient outcomes. To prevent these infections, antibiotic prophylaxis is used. However, excessive antibiotic use is related to higher costs and the emergence of antimicrobial resistance. Objectives: The present meta-analysis aimed to compare the effectiveness of a single dosage versus several doses of antibiotics in preventing the development of surgical site infections. Methods: PubMed was used to find clinical trials evaluating the effectiveness of a single dosage versus several doses of antibiotics in avoiding the development of surgical site infections. The study included trials that were published between 1984 and 2022. Seventy-four clinical trials were included in the analysis. Odds ratios were used to compare groups with 95% confidence intervals. The data were displayed using OR to generate a forest plot. Review Manager (RevMan version 5.4) was used to do the meta-analysis. Results: Regarding clean operations, there were 389 surgical site infections out of 5,634 patients in a single dose group (6.90%) and 349 surgical site infections out of 5,621 patients in multiple doses group (6.21%) (OR = 1.11, lower CI = 0.95, upper CI = 1.30). Regarding clean-contaminated operations, there were 137 surgical site infections out of 2,715 patients in a single dose group (5.05%) and 137 surgical site infections out of 2,355 patients in multiple doses group (5.82%) (OR = 0.87, lower CI = 0.68, upper CI = 1.11). Regarding contaminated operations, there were 302 surgical site infections out of 3,262 patients in a single dose group (9.26%) and 276 surgical site infections out of 3,212 patients in multiple doses group (8.59%) (OR = 1.11, lower CI = 0.84, upper CI = 1.47). In general, there were 828 surgical site infections out of 11,611 patients in a single dose group (7.13%) and 762 surgical site infections out of 11,188 patients in multiple doses group (6.81%) (OR = 1.05, lower CI = 0.93, upper CI = 1.20). The difference between groups was not significant. Conclusion: The present study showed that using a single-dose antimicrobial prophylaxis was equally effective as using multiple doses of antibiotics in decreasing surgical site infections.

Abstract Researchers are constantly searching for drugs to combat the coronavirus pandemic caused by SARS-CoV-2, which has lasted for over two years. Natural compounds such as phenolic acids are being tested against Mpro and AAK1, which are key players in the SARS-CoV-2 life cycle. This research work aims to study the ability of a panel of natural phenolic acids to inhibit the virus's multiplication directly through Mpro and indirectly by affecting the adaptor-associated protein kinase-1 (AAK1). Pharmacophore mapping, molecular docking, and dynamic studies were conducted over 50 ns and 100 ns on a panel of 39 natural phenolic acids. Rosmarinic acid (16) on the Mpro receptor (− 16.33 kcal/mol) and tannic acid (17) on the AAK1 receptor (− 17.15 kcal/mol) exhibited the best docking energy against both receptors. These favourable docking score values were found to be superior to those of the co-crystallized ligands. Preclinical and clinical research is required before using them simultaneously to halt the COVID-19 life cycle in a synergistic manner.

Ethnopharmacological relevance: Therapeutic botanicals (plants and derivatives) are in use since antiquity for various health ailments. The ethnic community is the repository of the information, the multifactorial therapeutic applications of which may often need scientific validation. The spreading hogweed or Boerhaavia diffusa L., also known as Punarnava, is a reassuring medicinal herb with diverse pharmacological benefits. It is used in Ayurveda in Asia and Africa as a rejuvenator or “Rasayan” for its excellent antiaging and antioxidant properties.Aim: The study aimed at compiling the state-of-art knowledge of the medicinal benefits of Boerhaavia diffusa L. and unraveling the unexplored commercially useful bioactive constituents by establishing their possible pharmacological benefits.Methods: The data from published literature, confined to pharmacological manifestations of various phytocomponents of Boerhaavia diffusa L. or its parts like root, leaf and stem were extracted from scientific databases, Google, Science Direct, PubMed, etc. using its antifungal, antibacterial, anticancer, anti-inflammatory, antidiabetic, hepatoprotective, cardioprotective, renoprotective, antifertility benefits and molecular docking study as search strings and keywords. Further, the reported in silico studies for bioactivity and bioavailability are detailed.Results: The botanicals possess numerous bioactive compounds, the most widely reported ones being phenolic (punarnavoside, trans-caftaric acid, boerhavic acid), rotenoid (boeravinones A-J), flavonoid (borhaavone, quercetin, kaempferol), isoflavonoid (2′-O-methyl abronisoflavone), alkaloid (punarnavine), steroid (boerhavisterol, β-Ecdysone), anthracenes and lignans (liriodendrin, syringaresinol mono-β-D-glucoside). Some of the reported reassuring benefits of their purified forms or even the crude extracts are antidiabetic, antimicrobial, anticancer, antioxidant, anti-inflammatory, hepatoprotective, renoprotective, cardioprotective, antifertility, etc.Conclusion: The article provides an extensive study on such pharmacological utility to support the ethnomedicinal use of Boerhaavia diffusa L. and propose possible mechanism of the various bioactive compounds in optimising metabolic dysfunctions, healing and protecting vital body organs, often related to the magnificent antioxidant property of this ayurvedic panacea. Further, establishing specific roles of its yet-to-explore bioactive constituents for diverse pharmacological applications is suggested.

Stable angina (angina pectoris) is a type of chest pain that happens when the heart muscle needs more oxygen than usual but it's not getting it at that moment because of heart disease. The drawback of the marketed formulation is required repeated administration of the drug due to low bioavailability. A recently licenced medication called ivabradine hydrochloride (IVB) is used to treat stable angina and signs of heart failure. Technical problems in the approved IBH tablets include a two-hour half-life, erratic systemic absorption, and a high rate of first-pass metabolism (>50%). We therefore created a distinctive and cutting-edge formulation of IVB using a nano formulation approach like nanostructured lipid carriers (NLCs). The response surface method with a three-level Box–Behnken design was used for the creation and improvement of IVB. The optimized formulation was proceeded for physicochemical characterizations like particle size, zeta potential, morphology (TEM and SEM), entrapment efficiency, in-vitro release, stability studies, compatibility study (DSC, FTIR and XRD), hemocompatibility study, ex-vivo permeability, and in-vivo angina study. As results, optimized formulation was found to be 114.45 ± 5.14 nm particle size with 83.45 ± 3.23% entrapment efficiency and biphasic release. The formulation showed spherical and compatible with excipients, no interaction was observed and hemocompatible. The IBH-NLCss showed more permeability (1.85 folds) as compared to the marketed dosage form. The in-vivo pharmacological activity was established in terms of decrease in severity and duration of ST-segment depression in vasopressin-induced angina model in experimental rats.

Determination of drug solubility in supercritical solvents such as CO2 has been of great importance for preparation of nanomedicines. This study implements and tunes several machine learning models to describe the solubility of medicine and density of solvent at various pressure and temperature. The dataset used in this study consisted of the input variables, temperature, and pressure. The methods of AdaBoost algorithm to boost the performance of base regression models for predicting the mole fractions of rivaroxaban and the density of SC-CO2 were developed. The base models used include Theil-Sen Regression (TSR), Gaussian Process Regression (GPR), Automatic Relevance Determination Regression (ARD), and Linear Regression (LR). We employ the Hunter-Prey Optimization technique to tune the hyper-parameters of these models. The results indicated that the boosted models outperform their base counterparts. For the mole fraction predictions, AdaBoost with ARD achieves an R2 value of 0.95986, while AdaBoost with GPR obtains an R2 score of 0.99817. For the SC-CO2 density predictions, AdaBoost with GPR achieves an impressive R2 of 0.99906. Accordingly, the AdaBoost with GPR is the best model for both outputs. These results demonstrate AdaBoost strength and Hunter-Prey algorithm in enhancing the predictive accuracy of regression models for these chemical properties.

This study presents a comparative analysis of three different models, namely Deep Neural Network (DNN), Quantile Regression (QR), and K-Nearest Neighbors (KNN) for the prediction of SC-CO2 density and solubility of rivaroxaban. The models were tuned using the Fireworks Algorithm (FWA) to optimize their hyperparameters. The dataset used in this analysis consisted of temperature (T), pressure (P), SC-CO2 density, and mole fractions of rivaroxaban. The results indicate that the DNN model exhibited outstanding performance in both prediction tasks. For the prediction of SC-CO2 density, the DNN model achieved an impressive R2 score of 0.99667, with a mean absolute error (MAE) of 7.61812E+00. Similarly, for the prediction of mole fractions of rivaroxaban, the DNN model achieved an excellent R2 score of 0.99831, with a very low MAE of 2.49870E-02. The KNN model also demonstrated good performance, with R2 scores of 0.9799 and 0.98029 for SC-CO2 density and mole fractions, respectively. However, it exhibited slightly higher MAE values compared to the DNN model. On the other hand, the QR model showed relatively lower accuracy in both prediction tasks, with R2 scores of 0.90873 and 0.87362 for SC-CO2 density and mole fractions, respectively. The QR model had higher MAE values, indicating larger average deviations from the true values. Overall, the DNN model outperformed both the KNN and QR models in predicting SC-CO2 density and mole fractions of rivaroxaban. These findings highlight the effectiveness of DNN models in accurately modeling and predicting complex chemical properties.

Preparation of small-molecule API (Active Pharmaceutical Ingredient) at submicron size would be of great benefit for pharmaceutical engineering, as the drug particles at submicron size possess higher solubility in water. Indeed, the drug bioavailability can be enhanced when the nanomedicine is prepared. In this study, the solubility of the drug desoxycorticosterone acetate (DA) is being examined to assess its viability of nanonization using supercritical operation. Two inputs are temperature and pressure which were considered for machine learning modeling in this study. The drug's solubility is the only output to be estimated by the optimized models. This dataset has 45 rows of data that were gathered at 5 different pressure and temperature levels. Support vector machine (SVM) is used as the core of the models built in this research. Epsilon-SVR and nu-SVR are models based on this concept, which together with two different polynomial and RBF kernels form the four models built in this research for estimation of DA drug solubility. The models are also optimized with the help of a new TLCO method. All four final models have an R2 score higher than 0.9, and among them, the Epsilon-SVR model with RBF kernel has the best performance with 0.967.

Background/purpose: Chlorothiazide is a well-known diuretic and an antihypertensive drug with poor solubility and permeability and thus low bioavailability. Producing nanoparticles of this drug via a suitable supercritical method can enhance its therapeutic efficiency. For this purpose, supercritical solubility of Chlorothiazide must be known. At 308- 338 K and 130- 290 bar, Majrashi obtained this parameter between the mole fraction of 0.417×10-5 to 1.012×10-5. The poor supercritical solubility of Chlorothiazide can be enhanced by adding a little polar co-solvent to scCO2. Model/design: In the current study, the solubility of this drug in the ternary systems of Chlorothiazide, scCO2, and different co-solvents of ethanol, DMSO, and acetone was measured. Also, the obtained experimental data were correlated by some empirical models presented by the research teams of González, Mendez-Santiago-Teja, Li, Soltani-Mazloumi, and Jouyban. Finding: The supercritical solubility of Chlorothiazide in the presence of ethanol, DMSO, and acetone was found in the mole fraction range of 1.115×10-5 to 11.895×10-5, 0.778×10-5 to 9.25×10-5, and 0.668 ×10-5 to 9.04×10-5, respectively. It has been shown that addition of these co-solvents can improve the supercritical solubility of Chlorothiazide, and in the meantime, ethanol with the greatest effect can increase it by about 2.02-11.75 times. Furthermore, the Joyban model has the most accuracy for the correlation of the obtained solubility data, and the data calculated by this model are more consistent with the experimental data. Novelty: For the first time at this work, the effect of three different co-solvents of ethanol, DMSO, and acetone on the solubility of Chlorothiazide in scCO2 was studied both experimentally and theoretically.

Background: Antimicrobial resistance is of paramount concern globally. Community pharmacists (CPs) play a vital role in supporting judicious antimicrobial use in the community as they are the key healthcare providers at a public level. This study aimed to assess the knowledge, attitude, and perception of CPs towards antimicrobial stewardship at the community level in Saudi Arabia. Methods: A self-administered questionnaire was distributed to all community pharmacies in four major cities of Saudi Arabia. A simple random sampling approach was used to select pharmacies in each chain. Results: A total of 520 CPs responded to the survey with a response rate of 98.6 %. Most of the pharmacists (n = 479, 92.1 %) accepted that antimicrobial stewardship programs are essential tools to limit injudicious usage of antimicrobials at the community level. Interestingly, very few (n = 105, 21 %) agreed to recommend antibiotics for common illnesses, including upper respiratory tract infections, cold, and flu without a valid prescription. Further, we found a significant role of Saudi health authorities, e.g., Saudi food & drug authorities and the Ministry of Health, in restricting antimicrobials sale in community pharmacies without a valid prescription. Conclusion: Our study findings revealed that CPs had good knowledge about antimicrobial stewardship in Saudi Arabia. The CPs play an active role in the optimization of antimicrobial therapy and infections caused by different microbes. Strict policies by the Saudi health care authority regarding the restricted dispensing of antimicrobials are welcomed by the CPs and thus may contribute toward lowering of antimicrobial resistance burden on the patients and Saudi health care authorities.

Modeling and simulations based on machine learning techniques were conducted in this research for determination of pharmaceutical solubility in supercritical solvent for the sake of green processing development in the area of pharmaceutics. By this method, drug nanoparticles can be formed and controlled for better solubility and consequently bioavailability. We modeled the solubility of the drug namely desoxycorticosterone acetate (DA). The temperature and pressure are two inputs for the developed models, whereas the target output is the solubility of DA in the solvent. Indeed, models with two inputs and one output are developed in this study. This dataset contains 45 rows of data collected at five distinct temperatures and nine pressure levels. Three novel models are employed here including: HHO-MLP, HHO-RR, and HHO–KNN for theoretical determination of the drug solubility in the solvent. They are in fact MLP, Ridge Regression, and KNN models coupled with Harris Hawks optimizer (HHO) for hyper-parameter optimization. The HHO-MLP model has the best performance among models with R2 of 0.995, RMSE error rate of 0.194 and maximum error equal to 0.327. The model's findings can be used for estimation of the solubility data in wide range of T and P.

The present work described the synthetic procedure adopted for the synthesis of bis-indole-based triazine derivatives via a series of reactions. All the compounds were synthesized through a stepwise reaction. After being confirmation through thin-layer chromatography (TLC) these compounds were characterized through various spectroscopic techniques including 1HNMR, 13CNMR and HREI-MS and evaluated against beta-glucuronidase in the presence of standard drug D-saccharic acid 1,4 lactone (IC50 = 31.2 ± 1.0 µM). Most of the synthesized derivatives were found with better to good inhibitory potentials (IC50 = 5.30 ± 2.0 µM to 33.10 ± 1.0 µM). SAR explains better results of analogs due to the presence of varied substituents on the aromatic rings. In this regard, the excellent potential was shown by analogs 1, 3, 6, 8 and 9 with IC50 = 5.30 ± 2.0, 7.10 ± 4.0, 6.10 ± 3.0, 8.40 ± 1.0 and 7.20 ± 3.0 µM respectively). In addition, all the synthesized analogs were evaluated for anti-cancer and anti-bacterial (E. coli) activities in which the targeted compounds were found with significant potentials in the presence of standard drugs Tetrandrineb (IC50 = 1.37 ± 0.10 µM) and streptomycin respectively. These derivatives were further subjected to molecular docking studies in order to investigate better binding sites with distance. Additionally, ADME properties for the synthesized compounds were also explored the drug like properties of the synthesized compounds.

This study aim to synthesize new 1,3,4-oxadiazole derivatives incorporating mefenamic acid as promising α-glucosidase and urease inhibitors, potentially leading to the treatment of postprandial hyperglycemia as well as H. pylori related disorders. In this regards, we have designed a series of Mefenamic acid derivatives. The synthetic compounds were structurally elucidated through 1H NMR, 13C NMR and HR-EIMS analysis. The biological evaluation of these derivatives against α-glucosidase and urease enzyme depicted some novel derivatives with potent inhibition against the said enzymes. All the derivatives exhibited potent inhibition against α-glucosidase enzymes with IC50 ranging from 25.81 ± 1.63–113.61 ± 1.31 µM against standard drug acarbose (IC50 = 375.82 ± 1.76 µM) while with respect to urease these derivatives possessed inhibitory potential varied between IC50 = 8.04 ± 1.01–58.18 ± 1.03 µM against the standard thiourea (IC50 = 21.0 ± 1.76 µM). The cell viability results revealed that all of the derivatives were found least cytotoxic. Furthermore, molecular docking studies of the most potent derivatives identify number of key features involved in binding interactions between potential inhibitors and the enzyme's active site.

Production of solid-dosage drug nanoparticles was assessed by theoretical models to investigate the possibility of drug treatment via supercritical green processing. Nanonization can enhance drug solubility and consequently its bioavailability which is of great importance for pharmaceutical industry. This research presents a comparative study of three different regression models including Gaussian process regression, k-nearest neighbors, and multi-layer perceptron for predicting solvent density and solubility of Hyoscine drug. The models optimized using political optimizer (PO) algorithm. The results showed that all three optimized methods were able to predict density and solubility with high accuracy. PO-GPR achieved the highest R2 score for solubility (0.9984) and same for density (0.9999). The PO-MLP model achieved the high R2 score for density (0.9997) and the second-highest score for solubility (0.9945). PO-KNN also showed good performance for density (R2 = 0.9557) and solubility (R2 = 0.9783) but was outperformed by the other two models. In terms of RMSE and AARD%, PO-GPR and PO-MLP achieved lower error rates compared to PO-KNN. Overall, the results suggest that PO-GPR and PO-MLP are promising methods for predicting density and solubility of values. The models were useful for the application of drug nanonization and can be used to optimize the process.

The main purpose of this work is to investigate the phytochemical composition of Marrubium alysson L. non-polar fraction. GC/MS analysis was used to evaluate the plant extract’s saponifiable and unsaponifiable matter. Although M. alysson L. lipoidal matter saponification produced 30.3% of fatty acid methyl esters and 69.7% of unsaponifiable matter. Phytol was the most dominant substance in the unsaponifiable materials. Notably, marrubiin which is one of the most prominent metabolites of Marrubium alysson L. was not detected through our adopted GC/MS technique. Thus, further characterization was proceeded through simple and rapid HPTLC analysis which successfully managed to identify marrubiin. Based on the regression equation, the concentration of marrubiin in M. alysson L. extract was 14.09 mg/g of dry extract. Concerning acetylcholinesterase inhibitory activity, both the crude M. alysson L. total methanolic extract and the non-polar fraction displayed reasonable inhibitory activity against acetylcholinesterase (AChE), whereas the pure compound marrubiin was considered to be the most effective and potent AChE inhibitor, with an IC50 value of 52.66 (µM). According to the molecular docking studies, potential sites of interaction between the pure chemical marrubiin and AChE were examined. The results show that Tyr124 on AChE residue was critical to the activity of the aforementioned drug. Based on the depicted marrubin AChE inhibition activity and reported safety profile, this chemical metabolite is considered as a promising lead compound for further pre-clinical investigation as well as drug development and optimization.

The method of green technology which is based on supercritical solvent has been studied in this work for analysis of nanomedicine preparation of solid dosage oral medications. Given that the poor drug solubility in aqueous media is a big challenge in pharmaceutical industry, nanomedicines would help improve the drug solubility in aqueous media. The solubility of fludrocortisone acetate in supercritical carbon dioxide is modelled in this research using various machine learning methods because it is a crucial aspect of the expansion of the pharmaceutical business. For this purpose, the accessible data have two input features: a pressure range of 120–300 (bar) and a temperature range of 308–338 (K). MLP, v-SVR and MLR are the basic models used in this research, but not their raw versions. They are improved for modeling drug solubility and coupled with the grey wolf optimization (GWO) in order to optimize the models. The models optimized by GWO showed acceptable results, but among these models, MLP regression has shown better results when coupled with this optimization algorithm. This model has the RMSE error rate of 2.98 × 10−2 and its R2 score is 0.9797 in correlating the solubility data of the medicine.

Abstract Background Exposure to cadmium is implicated in the etiology of some neurodegenerative diseases. Compounds isolated from Ipomoea cairica extract are neuroprotective. However, there is no reported neuroprotective activity of the crude extract of I. cairica (ICE). We investigated the neuroprotective activity of I. cairica extract against cadmium-induced biochemical changes in the brain of male Wistar rats. Thirty-six animals were divided into four groups of 9 animals per group: group I (Control); group II (3.5 mg/kg CdCl2); group III (100 mg/kg ICE + CdCl2); and group IV (250 mg/kg ICE + CdCl2). Animals were pretreated with 100 and 250 mg/kg ICE before co-administration with cadmium chloride. Results CdCl2 treatment caused a significant increase in acetylcholineesterase activity, lipid peroxidation, beta-amyloid aggregation, caspase 3 and 9, p53, and glutamate concentration. In addition, CdCl2 caused a significant decrease in catalase activity, superoxide dismutase, glutathione-S-transferase, Na+/K+ ATPase, and glutamate dehydrogenase. ICE was able to reduce the neuronal damaging effect of CdCl2 by acting as an antioxidant, antiapoptotic, anticholinesterase, and antiexcitotoxicity. Conclusions Our findings show that Ipomoea cairica leaf can be developed and included in the natural product in the prevention of neurodegenerative diseases.

Background: This review aimed to conduct an indirect comparison using a Bayesian network meta-analysis of randomized controlled trials (RCTs) to compare the efficacy and safety of delafloxacin versus other single antibiotic regimens for the empiric treatment of Acute Bacterial Skin and Skin Structure Infections. Method: A systematic search with no start date restrictions was conducted. The Cochrane Risk of Bias tool was used to assess the quality of included RCTs. Results: Of the 577 studies initially identified, nine RCTs were included in the review. The network meta-analysis showed that ceftaroline, ceftobiprole, delafloxacin and tigecycline had similar efficacy in the indirect comparisons [Ceftaroline Odds Ratio (OR) = 1.2, 95% Crl = 0.46–3.6), ceftobiprole (OR = 1.3, 95% Crl = 0.34–3.0) and tigecycline (OR = 0.96, 95% Crl = 0.30–2.9)]. However, the ranking plot for the intention to treat (ITT) population showed that delafloxacin had a probability of 80.8% to be ranked first followed by ceftobiprole (13.1%). The analysis of the overall adverse events showed that ceftaroline (OR = 0.88, 95% Crl = 0.65–1.2), ceftobiprole (OR = 1.1, 95% Crl = 0.69–2.0), delafloxacin (OR = 0.88, 95% Crl = 0.57–1.3) and tigecycline (OR = 1.4, 95% Crl = 0.88–2.2) had similar safety profiles. Conclusion: Delafloxacin did not show any statistically significant differences when compared to ceftaroline, ceftobiprole, and tigecycline in terms of efficacy and safety. However, the surface under the cumulative ranking curve (SUCRA) probability ranked delafloxacin as the first option for the ITT population.

The antimicrobial resistance of pathogenic microorganisms against commercial drugs has become a major problem worldwide. This study is the first of its kind to be carried out in Egypt to produce antimicrobial pharmaceuticals from isolated native taxa of the fungal Chaetomium, followed by a chemical investigation of the existing bioactive metabolites. Here, of the 155 clinical specimens in total, 100 pathogenic microbial isolates were found to be multi-drug resistant (MDR) bacteria. The Chaetomium isolates were recovered from different soil samples, and wild host plants collected from Egypt showed strong inhibitory activity against MDR isolates. Chaetomium isolates displayed broad-spectrum antimicrobial activity against C. albicans, Gram-positive, and Gram-negative bacteria, with inhibition zones of 11.3 to 25.6 mm, 10.4 to 26.0 mm, and 10.5 to 26.5 mm, respectively. As a consecutive result, the minimum inhibitory concentration (MIC) values of Chaetomium isolates ranged from 3.9 to 62.5 µg/mL. Liquid chromatography combined with tandem mass spectrometry (LC-MS/MS) analysis was performed for selected Chaetomium isolates with the most promising antimicrobial potential against MDR bacteria. The LC-MS/MS analysis of Chaetomium species isolated from cultivated soil at Assuit Governate, Upper Egypt (3), and the host plant Zygophyllum album grown in Wadi El-Arbaein, Saint Katherine, South Sinai (5), revealed the presence of alkaloids as the predominant bioactive metabolites. Most detected bioactive metabolites previously displayed antimicrobial activity, confirming the antibacterial potential of selected isolates. Therefore, the Chaetomium isolates recovered from harsh habitats in Egypt are rich sources of antimicrobial metabolites, which will be a possible solution to the multi-drug resistant bacteria tragedy.

The inappropriate prescribing of antimicrobials increases antimicrobial resistance (AMR), which poses an appreciable threat to public health, increasing morbidity and mortality. Inappropriate antimicrobial prescribing includes their prescribing in patients hospitalized with COVID-19, despite limited evidence of bacterial infections or coinfections. Knowledge of current antimicrobial utilization in Saudi Arabia is currently limited. Consequently, the objective of this study was to document current antimicrobial prescribing patterns among Saudi hospitals during the COVID-19 pandemic. This study included patients with or without COVID-19 who were admitted to five hospitals in Makkah, Saudi Arabia. Data were gathered using the Global PPS methodology and analyzed using descriptive statistics. Out of 897 hospitalized patients, 518 were treated with antibiotics (57.7%), with an average of 1.9 antibiotics per patient. There were 174 culture reports collected, representing 36.5% of all cases. The most common indication for antibiotics use was community-acquired infections, accounting for 61.4% of all cases. ‘Watch’ antibiotics were the most commonly prescribed antibiotics, with the cephalosporins and carbapenems representing 38.7% of all antibiotics prescribed, followed by the penicillins (23.2%). Notably, Piperacillin/Tazobactam and Azithromycin were prescribed at relatively higher rates for COVID-19 patients. These findings highlight the need for continuous efforts to optimize the rational use of antibiotics through instigating appropriate antimicrobial stewardship programs in hospitals and, as a result, reduce AMR in the country.

In continuation of our research programs for the discovery, production, and development of the pharmacological activities of molecules for various disease treatments, Schiff bases and pyrazole scaffold have a broad spectrum of activities in biological applications. In this context, this manuscript aims to evaluate and study Schiff base–pyrazole molecules as a new class of antioxidant (total antioxidant capacity, iron-reducing power, scavenging activity against DPPH, and ABTS radicals), anti-diabetic (α-amylase% inhibition), anti-Alzheimer’s (acetylcholinesterase% inhibition), and anti-arthritic (protein denaturation% and proteinase enzyme% inhibitions) therapeutics. Therefore, the Schiff bases bearing pyrazole scaffold (22a, b and 23a, b) were designed and synthesized for evaluation of their antioxidant, anti-diabetic, anti-Alzheimer’s, and anti-arthritic properties. The results for compound 22b demonstrated significant antioxidant, anti-diabetic (α-amylase% inhibition), and anti-Alzheimer’s (ACE%) activities, while compound 23a demonstrated significant anti-arthritic activity. Prediction of in silico bioinformatics analysis (physicochemical properties, bioavailability radar, drug-likeness, and medicinal chemistry) of the target derivatives (22a, b and 23a, b) was performed. The molecular lipophilicity potential (MLP) of the derivatives 22a, b and 23a, b was measured to determine which parts of the surface are hydrophobic and which are hydrophilic. In addition, the molecular polar surface area (PSA) was measured to determine the polar surface area and the non-polar surface area of the derivatives 22a, b and 23a, b. This study could be useful to help pharmaceutical researchers discover a new series of potent agents that may act as an antioxidant, anti-diabetic, anti-Alzheimer, and anti-arthritic.

Hajj and Umrah are Muslims’ religious pilgrimages to Makkah, Saudi Arabia. Hajj is considered the largest annual gathering in the world. In Islam, every adult is obligated to conduct Hajj and Umrah at least once if he/she is in good health and can afford to do so. Hajj takes place between the 8 $^{\mathrm{ th}}$ and the 13 $^{\mathrm{ th}}$ day of Dhul Hijjah, which is the last month of the Islamic year while Umrah, the minor pilgrimage, could be done any time of the year. In Hajj, pilgrims, also known as Hajjis, travel around 15 km and pilgrims have the choice to do it by foot, bus or by train. The Hajj journey starts from Mina, which is considered the largest tent city in the world because it hosts more than 10,000 fire resistant tents, and includes various religious rituals. Around 3 million Muslims from more than 183 countries make Hajj every year and the Kingdom of Saudi Arabia is working on increasing this number. Since 1989, researchers in various ICT domains have tried leveraging their expertise in solving challenges and issues related to Hajj and Umrah. Although several papers have surveyed efforts using technology in Hajj and Umrah research, none of them was comprehensive. In this paper, I classified research efforts that used information and communication technologies for solving Hajj and Umrah challenges over the past 33 years based on their applications in 10 categories. I also identified more than 30 technologies used by researchers all over the world to address Hajj and Umrah issues and group research efforts based on these technologies for ease of access. Furthermore, open challenges were discussed and new technologies that could be used to address these challenges were proposed.

Abstract Pseudomonas aeruginosa is an opportunistic bacterium causing several health problems and having many virulence factors like biofilm formation on different surfaces. There is a significant need to develop new antimicrobials due to the spreading resistance to the commonly used antibiotics, partly attributed to biofilm formation. Consequently, this study aimed to investigate the anti-biofilm and anti-quorum sensing activities of Dioon spinulosum, Dyer Ex Eichler extract (DSE), against Pseudomonas aeruginosa clinical isolates. DSE exhibited a reduction in the biofilm formation by P. aeruginosa isolates both in vitro and in vivo rat models. It also resulted in a decrease in cell surface hydrophobicity and exopolysaccharide quantity of P. aeruginosa isolates. Both bright field and scanning electron microscopes provided evidence for the inhibiting ability of DSE on biofilm formation. Moreover, it reduced violacein production by Chromobacterium violaceum (ATCC 12,472). It decreased the relative expression of 4 quorum sensing genes (lasI, lasR, rhlI, rhlR) and the biofilm gene (ndvB) using qRT-PCR. Furthermore, DSE presented a cytotoxic activity with IC50 of 4.36 ± 0.52 µg/ml against human skin fibroblast cell lines. For the first time, this study reports that DSE is a promising resource of anti-biofilm and anti-quorum sensing agents.

Objective: Residency positions are highly competitive. Pharmacy students who are familiar with the ideal qualities of residency candidates and the expectations of residency programs may be more likely to obtain one of these coveted positions. This study identifies the characteristics that residency program directors (RPDs) and preceptors use to define an ideal residency candidate. Methods: This is a cross-sectional, descriptive study that surveyed pharmacy RPDs and preceptors across the Kingdom of Saudi Arabia. The questionnaires are comprised of two sections: demographic information and characteristics of the residency candidates. Over a five-month period (May 1, 2020 – September 30, 2020), the survey was sent electronically to the participants. Results: Of the 78 surveys returned, 68 surveys were included (RPDs: 36, Preceptors: 32) and 12 surveys (15.17%) were excluded due to incompleteness. Number of RPDs responded to the survey represents (65%) of the total RPDs in Saudi Arabia. The mean response scores from the results of the Likert scale [strongly agree (1) - strongly disagree (5)] — suggest that a candidate’s performance during the interview (mean score = 1.5), their professional appearance (1.5), an alignment between a candidate’s interests and the program focus (1.6), and previous hospital experience (1.8) mattered most. While being from the same region (3.4), having an advanced degree (2.8) and the cumulative Grade Point Average (2.7) mattered the least. We find that previous hospital experience (29%), familiarity with the program (16%), research experience (15%), Saudi Commission for Health Specialists aggregate score (10%), and letters of recommendation (4%) are considered the top five factors. Conclusion: Residency candidates should focus on training in clinical settings. Offering mock interviews and Saudi Pharmacist Licensure Examination practice tests and involving pharmacy students in clinical research may increase their chance in securing a residency position.

Pseudomonas luteola, formerly known as Chryseomonas luteola, is an infrequently encountered aerobic gram-negative bacterium. While it has been identified as a potential human bacterial pathogen, its connection to specific clinical conditions remains limited. Here, we present an exceptional case of a 27-year-old immunocompetent man with acute tonsillitis, who developed P. luteola bacteremia. This unique correlation, not extensively documented in previous studies, sheds light on the potential pathogenicity of P. luteola in patients with acute tonsillitis.

Background: β-lactams remain the cornerstone of the empirical therapy to treat various bacterial infections. This systematic review aimed to analyze the data describing the dosing regimen of β-lactams.Methods: Systematic scientific and grey literature was performed in accordance with Preferred Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The studies were retrieved and screened on the basis of pre-defined exclusion and inclusion criteria. The cohort studies, randomized controlled trials (RCT) and case reports that reported the dosing schedule of β-lactams are included in this study.Results: A total of 52 studies met the inclusion criteria, of which 40 were cohort studies, 2 were case reports and 10 were RCTs. The majority of the studies (34/52) studied the pharmacokinetic (PK) parameters of a drug. A total of 20 studies proposed dosing schedule in pediatrics while 32 studies proposed dosing regimen among adults. Piperacillin (12/52) and Meropenem (11/52) were the most commonly used β-lactams used in hospitalized patients. As per available evidence, continuous infusion is considered as the most appropriate mode of administration to optimize the safety and efficacy of the treatment and improve the clinical outcomes.Conclusion: Appropriate antibiotic therapy is challenging due to pathophysiological changes among different age groups. The optimization of pharmacokinetic/pharmacodynamic parameters is useful to support alternative dosing regimens such as an increase in dosing interval, continuous infusion, and increased bolus doses.

Depression is the major mental illness which causes along with loss of interest in daily life, a feeling of hopelessness, appetite or weight changes, anger and irritability. Due to the hepatic first-pass metabolism, the absolute bioavailability of fluvoxamine (FVM) after oral administration is about 50%. By avoiding the pre-systemic metabolism, nasal delivery would boost bioavailability of FVM. Additionally, the absorption is anticipated to occur more quickly than it would via the oral route because of the existence of microvilli and high vasculature. A nonionic surfactant, cholesterol and an arachidonic acid-carboxymethyl chitosan (AA-CMCS) conjugate were used to develop FVM-loaded novasomes. To investigate the effects of surfactant concentration, AA-CMCS conjugate concentration and stirring speed on the novasomes’ characteristics, a Box–Behnken design was used. The dependent variables chosen were zeta potential, polydispersity index and particle size. The AA-CMCS conjugate was confirmed by 1H-NMR and FTIR. Using Design Expert software (version 7; Stat-Ease Inc., Minneapolis, MN, USA), novasomes were further optimized. The chosen optimal formulation (NAC8) was made up of AA-CMCS conjugate, Span 60 and cholesterol. Particle size, zeta potential and PDI values for NAC8 formulation were 101 nm, −35 mV and 0.263, respectively. The NAC8 formulation’s DSC and TGA analysis demonstrated that the medication had been uniformly and amorphously distributed throughout the novasomes. The NAC8 formulation showed 99% and 90% FVM release and permeation, respectively, and the novasome adherence time was 24 h. An improved antidepressant effect along with five-fold increase in bioavailability of FVM was observed after trans-nasal administration of NAC8 formulation compared to the reference commercially available Flumin® tablets. FVM-loaded novasomes administered via the nasal route may therefore constitute an advancement in the management of depression.

To discover anti-acetylcholinesterase agents for the treatment of Alzheimer’s disease (AD), a series of novel Schiff base-coumarin hybrids was rationally designed, synthesized successfully, and structurally characterized using Fourier transform infrared (FTIR), Nuclear magnetic resonance (NMR), and High-Resolution Mass Spectrometry (HRMS) analyses. These hybrids were evaluated for their potential inhibitory effect on acetylcholinesterase (AChE). All of them exhibited excellent inhibitory activity against AChE. The IC50 values ranged from 87.84 to 515.59 μg/mL; hybrids 13c and 13d with IC50 values of 0.232 ± 0.011 and 0.190 ± 0.004 µM, respectively, showed the most potent activity as acetylcholinesterase inhibitors (AChEIs). The reference drug, Galantamine, yielded an IC50 of 1.142 ± 0.027 µM. Reactivity descriptors, including chemical potential (μ), chemical hardness (η), electrophilicity (ω), condensed Fukui function, and dual descriptors are calculated at wB97XD/6-311++ G (d,p) to identify reactivity changes of the designed compounds. An in-depth investigation of the natural charge pattern of the studied compounds led to a deep understanding of the important interaction centers between these compounds and the biological receptors of AChE. The molecular electrostatic surface potential (MESP) of the most active site in these derivatives was determined using high-quality information and visualization. Molecular docking analysis was performed to predict binding sites and binding energies. The structure-activity-property relationship studies indicated that the proposed compounds exhibit good oral bioavailability properties. To explore the stability and dynamic behavior of the ligand-receptor complexes, molecular dynamics simulations (MDS) were performed for 100 ns on the two best docked derivatives, 13c and 13d, with the AChE (4EY7) receptor. A popular method for determining the free binding energies (MM/GBSA) is performed using snapshots taken from the systems’ trajectories at 100 ns. These results revealed that the complex system of compound 13d acquired a relatively more stable conformation and exhibited better descriptors than the complex system of compound 13c and the Galantamine drug, suggesting its potential as an effective inhibiting drug. The binding free energy analysis revealed that the 13d-4EY7 complex exhibited greater stability with AChE receptors compared to other complexes.

Glaucoma is a progressive optic neuropathy characterized by a rise in the intraocular pressure (IOP) leading to optic nerve damage. Bimatoprost is a prostaglandin analogue used to reduce the elevated IOP in patients with glaucoma. The currently available dosage forms for Bimatoprost suffer from relatively low ocular bioavailability. The objective of this study was to fabricate and optimize solid lipid nanoparticles (SLNs) containing Bimatoprost for ocular administration for the management of glaucoma. Bimatoprost-loaded SLNs were fabricated by solvent evaporation/ultrasonication technique. Glyceryl Monostearate (GMS) was adopted as solid lipid and poloxamer 407 as surfactant. Optimization of SLNs was conducted by central composite design. The optimized formulation was assessed for average particle size, entrapment efficiency (%), zeta potential, surface morphology, drug release study, sterility test, isotonicity test, Hen’s egg test-chorioallantoic membrane (HET-CAM) test and histopathology studies. The optimized Bimatoprost-loaded SLNs formulation had an average size of 183.3 ± 13.3 nm, zeta potential of −9.96 ± 1.2 mV, and encapsulation efficiency percentage of 71.8 ± 1.1%. Transmission electron microscopy (TEM) study revealed the nearly smooth surface of formulated particles with a nano-scale size range. In addition, SLNs significantly sustained Bimatoprost release for up to 12 h, compared to free drug (p < 005). Most importantly, HET-CAM test nullified the irritancy of the formulation was verified its tolerability upon ocular use, as manifested by a significant reduction in mean irritation score, compared to positive control (1% sodium dodecyl sulfate; p < 0.001). Histopathology study inferred the absence of any signs of cornea tissue damage upon treatment with Bimatoprost optimized formulation. Collectively, it was concluded that SLNs might represent a viable vehicle for enhancing the corneal permeation and ocular bioavailability of Bimatoprost for the management of glaucoma.

Periodontitis is an inflammatory disorder associated with dysbiosis and characterized by microbiologically related, host-mediated inflammation that leads to the damage of periodontal tissues including gingiva, connective tissues, and alveolar bone. The aim of this study was to develop an in situ gel consisting of piperine. Eight in situ gel formulations were designed by varying the concentration of deacylated gellan gum cross-linked with sodium tripolyphosphate, and poloxamer-407. The prepared gels were evaluated for gelation temperature, gelation time, viscosity, piperine-loading efficiency, and piperine release. Finally, the optimized formula was evaluated for anti-inflammatory effectiveness among human patients during a 14-day follow-up. The optimized in situ gel formulation exhibited a gelation temperature of 35 ± 1 °C, gelling of 36 ± 1 s, excellent syringeability, and piperine loading of 95.3 ± 2.3%. This formulation efficiently sustained in vitro drug release for up to 72 h. In vivo studies revealed an efficient sol-to-gel transformation of optimized in situ gel formulation at physiological conditions, permitting an efficient residence time of the formulation within a periodontitis pocket. Most importantly, a clinical study revealed that treatment with the optimized formulation elicited a significant reduction in the mean plaque score (p = 0.001), gingival index (p = 0.003), and pocket depth (p = 0.002), and exerted a potent anti-inflammatory potential, compared to the control group. Collectively, piperine-loaded in situ gel might represent a viable therapeutic approach for the management of gingival and periodontal diseases.

The particle size at the nanometric level allows the manifestation of remarkable properties, chiefly due to changes in surface-to-volume ratio. This study is attributed to the novel green synthesis of nano silver by using essential oils as a capping and reducing agent. Clove oil, cinnamon oil, and cardamom oil were selected for the eco-friendly and low-cost fabrication of silver nanoparticles. The prepared nanoparticles were characterized by photoluminescence spectroscopy, FT-IR spectroscopy, X-Ray diffraction, energy dispersive X-ray spectroscopy, dynamic laser light scattering, thermogravimetric analysis, and transmission electron microscopy. It was found that samples prepared by using cinnamon oil (20 nm) and cardamom oil (12 nm) had smaller particle sizes as compared to those synthesized by using clove oil (45 nm). All the prepared samples exhibited very strong antimicrobial activities with a clear zone of inhibition (6–24 mm) against Staphylococcus aureus, Klebsiella pneumoniae, and Candida albicans. Very resilient photocatalytic activities of the samples were observed against Allura red and fast green dyes. It was concluded that the cinnamon oil-based system is the best size reducer and size homogenizer (less chances of agglomeration) as compared to clove oil and cardamom oil (more chances of agglomeration) for the synthesis of silver nanoparticles.

This study demonstrates high drug-loading of novel pyridine derivatives (S1–S4) in lipid- and polymer-based core–shell nanocapsules (LPNCs) for boosting the anticancer efficiency and alleviating toxicity of these novel pyridine derivatives. The nanocapsules were fabricated using a nanoprecipitation technique and characterized for particle size, surface morphology, and entrapment efficiency. The prepared nanocapsules exhibited a particle size ranging from 185.0 ± 17.4 to 223.0 ± 15.3 nm and a drug entrapment of >90%. The microscopic evaluation demonstrated spherical-shaped nanocapsules with distinct core–shell structures. The in vitro release study depicted a biphasic and sustained release pattern of test compounds from the nanocapsules. In addition, it was obvious from the cytotoxicity studies that the nanocapsules showed superior cytotoxicity against both MCF-7 and A549 cancer cell lines, as manifested by a significant decrease in the IC50 value compared to free test compounds. The in vivo antitumor efficacy of the optimized nanocapsule formulation (S4-loaded LPNCs) was investigated in an Ehrlich ascites carcinoma (EAC) solid tumor-bearing mice model. Interestingly, the entrapment of the test compound (S4) within LPNCs remarkably triggered superior tumor growth inhibition when compared with either free S4 or the standard anticancer drug 5-fluorouracil. Such enhanced in vivo antitumor activity was accompanied by a remarkable increase in animal life span. Furthermore, the S4-loaded LPNC formulation was tolerated well by treated animals, as evidenced by the absence of any signs of acute toxicity or alterations in biochemical markers of liver and kidney functions. Collectively, our findings clearly underscore the therapeutic potential of S4-loaded LPNCs over free S4 in conquering EAC solid tumors, presumably via granting efficient delivery of adequate concentrations of the entrapped drug to the target site.