Message

Pharmaceutical sciences are one of the most important sciences to be considered nowadays. The progress in drug design and various formulation structures has caused a revolution in the pharmaceutical market. The thing which implied the indulgence of other sciences within the core of pharmaceutical sciences to enable researchers to reach behind barriers. Nowadays; we can find fields like pharmacovigilence, pharmacoeconomics, industrial and clinical pharmacy are crossing their way fast towards another horizon of scientific progress, to present a completion of drug delivery system studies before and after being handed to the patient. Simultaneously; interdisciplinary fields as biomedical sciences, molecular and cellular biology as well as bioengineering and biophysics coupled with artificial intelligence and biotechnology have invaded the world of drug research to present a new revolution in research and industry of personalized medicines, giving hopes to billions of patients worldwide to cure the incurable resistant diseases. Thanks to research, the word could have never been spread that virulent and that fast. And in order to guarantee continuous progress, our role as researchers lies in spreading knowledge in the  form of our research findings braised within a context of scientific ethics to help every researcher to cross beyond any barrier that might hinder our role in saving the world through what is presented. So, lets believe in what we present. Lets be honest in the information presented. Let this journal be a minaret for other researchers, to enable them build up on what we present and offer. Lets help scientists expand vertically. Not only horizontally in the field of drug delivery and various domains of pharmaceutical sciences. Lets aims at unveiling all drug mysteries aiming to a better world for all patients worldwide

New Caputo-Fabrizio fractional order SEIASqEqHR model for COVID-19 epidemic transmission with genetic algorithm based control strategy

Fractional derivative has a memory and non-localization features that make it very useful in modelling epidemics’ transition. The kernel of Caputo-Fabrizio fractional derivative has many features such as non-singularity, non-locality and an exponential form. Therefore, it is preferred for modeling disease spreading systems. In this work, we suggest to formulate COVID-19 epidemic transmission via SEIASqEqHR paradigm using the Caputo-Fabrizio fractional derivation method. In the suggested fractional order COVID-19 SEIASqEqHR paradigm, the impact of changing quarantining and contact rates are examined. The stability of the proposed fractional order COVID-19 SEIASqEqHR paradigm is studied and a parametric rule for the fundamental reproduction number formula is given. The existence and uniqueness of stable solution of the proposed fractional order COVID-19 SEIASqEqHR paradigm are proved. Since the genetic algorithm is a common powerful optimization method, we propose an optimum control strategy based on the genetic algorithm. By this strategy, the peak values of the infected population classes are to be minimized. The results show that the proposed fractional model is epidemiologically well-posed and is a proper elect

Pharmacological therapy for COVID-19: Where are we now and where are we going?

Background: Up to the point of writing this review, there is no scientific evidence of any effective medical therapy for coronavirus disease 2019 (COVID-19). In this review, we attempted to discuss the current summary of evidence of some medication, currently in trial for the treatment of COVID-19. Material and Methods: We have done an electronic literature search using the following database: PubMed, Medline, Scopus and Google scholar. These databases were searched using the keywords COVID-19 and pharmacological therapy. Results: At present, there are no well randomized controlled studies which can give evidence for most of the therapy used for COVID-19. Several medications are in trials for COVID-19, among them: 1/ chloroquine and hydroxychloroquine;  2/anti-virals oseltamivir, remdesivir, lopinavir/ritonavir and other protease inhibitors; 3/antibiotics macrolide (Azithromycin); 4/cytokine therapy interferon; 5/ humanized monoclonal antibody tocilizumab; 6/adjunct therapies vitamins C, D, and herbal medicine; 7/ COVID-19 convalescent plasma; 8/systemic steroids; 9/expected COVID-19 vaccine. We have also included some of the herbal medicines that are commonly and widely used in the Middle East, Asia as well in Sudan, (black seeds, honey and Acacia Nilotica). It is worth mentioning that these herbal medicines have shown benefits in treating other diseases, but the evidence of their benefit in COVID-19 still needs to be established. Conclusion: Currently there is no pharmacological therapy for the COVID-19. More research and randomized clinical trials are needed to find effective therapy or vaccine against COVID-19. Keywords: COVID-19, Pharmacotherapy, herbal medicine, Suda

L-Citrulline in Neonates: From Bench to Bed Side

L-citrulline (L-CIT), a precursor to L-arginine (L-ARG), is a key contributor to the nitric oxide (NO) signaling pathway. Endothelial dysfunction, characterized by deficient nitric oxide synthesis, is implicated in the pathogenesis of various neonatal conditions such as necrotizing enterocolitis (NEC) and bronchopulmonary dysplasia (BPD) associated pulmonary hypertension (PH). This review summarizes the current evidence around the possible role of L-CIT supplementation in the treatment of these conditions. Detoxification of endogenously produced superoxide radicals is inadequate in preterm infants due to immature antioxidants that leads to the production of peroxynitrite, a reactive oxygen-free radical that is cytotoxic and causes damage to organelles and cellular membranes, further disrupting the coupling of endothelial NO synthase enzyme and the generation of high levels of reactive nitrogen and oxygen species. Animal studies in lipopolysaccharide-induced models of chorioamnionitis and hyperoxia- and inflammation-induced BPD-PH in rodent lung models revealed that L-CIT supplementation significantly mitigated structural changes in the pulmonary vasculature, preserved alveolar growth, and increased vascular endothelial growth factor gene expression, highlighting the anti-inflammatory and antioxidant effects of L-CIT supplementation. Similar benefits were noted in newborn piglet models of chronic hypoxia-induced PH and NEC. Pharmacokinetic studies in neonates have shown doses of 100–300 mg/kg/day to be safe and well tolerated. A few studies have shown the beneficial effects of L-CIT supplementation in pulmonary hypertension secondary to congenital heart disease, but evidence of efficacy in the neonatal population is lacking. While L-CIT shows promise in the treatment of various neonatal conditions, adequately powered studies to evaluate the safety and efficacy of L-CIT supplementation post-surgical NEC and BPD ± PH in the extremely preterm population are needed to translate this novel therapy to clinical practice

WEB-BASED DUPLICATE RECORDS DETECTION WITH ARABIC LANGUAGE ENHANCEMENT

Sharing data between organizations has growing importance in many data mining projects. Data from various heterogeneous sources often has to be linked and aggregated in order to improve data quality. The importance of data accuracy and quality has increased with the explosion of data size. The first step to ensure the data accuracy is to make sure that each real world object is represented once and only once in a certain dataset which called Duplicate Record Detection (DRD). These data inaccuracy problems exist due to due to several factors including spelling, typographical and pronunciation variation, dialects and special vowel and consonant distinction and other linguistic characteristics especially with non-Latin languages like Arabic. In this paper, an English/Arabic enabled web-based framework is designed and implemented which considers the user interaction to add new rules, enrich the dictionary and evaluate results is an important step to improve system’s behavior. The proposed framework allows the processing on both single language dataset and bi-lingual dataset. The proposed framework is implemented and verified empirically in several case studies. The comparison results showed that the proposed system has substantial improvements compared to known tools

Exploring the gaps between education and pharmacy practice on antimicrobial stewardship: a qualitative study among pharmacists in Qatar.

Antimicrobial resistance is a public health issue and is the focus of antimicrobial stewardship (AMS) teams within health care institutions. However, AMS is not comprehensively and fully taught in medical or pharmacy curricula and little is known about the relevance of pharmacist training to meet AMS needs in the Middle East region. We aimed to explore the discord that may exist between infectious diseases education and actual clinical practice with regard to AMS knowledge and training skills in Qatar. Then, we sought to further explore pharmacist perceptions of their AMS roles in hospital environments. A qualitative study was undertaken at Qatar University using three focus groups consisting of 15 pharmacy alumni who are currently practicing as clinical pharmacists in Qatar. Focus groups were facilitated using a topic guide developed by study investigators. Discussions were audio-recorded and transcribed verbatim. Results were analyzed using framework analysis. Two major themes related to the first objective emerged throughout the discussions and associated recommendations made to improve (i) infectious diseases (ID) module content and delivery and (ii) ID knowledge and skills application. Two themes related to the second objective included (i) impact of pharmacist's interventions on decision-making and (ii) continuing professional development programming. Our findings guide ongoing efforts to enhance ID content in the curriculum and will close gaps related to AMS training. Pharmacists are core AMS team members where there is an ongoing need to align continuing education for health professionals with realities of practice

Diversification of Pseudomonas aeruginosa Biofilm Populations under Repeated Phage Exposures Decreases the Efficacy of the Treatment

Phage therapy has been proposed as a therapeutic alternative to antibiotics for the treatment of chronic, biofilm-related P. aeruginosa infections. To gain a deeper insight into the complex biofilm–phage interactions, we investigated in the present study the effect of three successive exposures to lytic phages of biofilms formed by the reference strains PAO1 and PA14 as well as of two sequential clinical P. aeruginosa isolates from the sputum of a patient with cystic fibrosis (CF). The Calgary device was employed as a biofilm model and the efficacy of phage treatment was evaluated by measurements of the biomass stained with crystal violet (CV) and of the cell density of the biofilm bacterial population (CFU/mL) after each of the three phage exposures. The genetic alterations of P. aeruginosa isolates from biofilms exposed to phages were investigated by whole-genome sequencing. We show here that the anti-biofilm efficacy of the phage treatment decreased rapidly with repeated applications of lytic phages on P. aeruginosa strains with different genetic backgrounds. Although we observed the maintenance of a small subpopulation of sensitive cells after repeated phage treatments, a fast recruitment of mechanisms involved in the persistence of biofilms to the phage attack occurred, mainly by mutations causing alterations of the phage receptors. However, mutations causing phage-tolerant phenotypes such as alginate-hyperproducing mutants were also observed. In conclusion, a decreased anti-biofilm effect occurred after repeated exposure to lytic phages of P. aeruginosa biofilms due to the recruitment of different resistance and tolerance mechanisms