Recent Advances in Anti-Infective Drug Discovery Formerly Recent Patents on Anti-Infective Drug Discovery - Volume 18, Issue 1, 2023

Background: Blastocystis species (sp.) are enteric parasites that live in both humans' and animals' gastrointestinal tracts. Blastocystis hominis (B. hominis) is the recognizable human isolates in clinical and diagnostic specimens. Human infection occurs via the oro-fecal route, particularly in developing areas due to the lack of sanitation and hygienic facilities. B. hominis can exist in the large intestine for weeks to years until treated appropriately. Metronidazole is the drug of choice for the treatment of Blastocystis infection. However, it induces intolerable side effects and has been shown to have teratogenic and carcinogenic potential. Several medicinal plant extracts have been experimentally tested against Blastocystis infection in comparison to currently available treatments. Objective: Based on in vitro and in vivo studies, this article reviewed anti-Blastocystis activity of some medicinal plants. Methods: To conduct the research for this review, Google Scholar and PubMed were the primary search engines used to find relevant literature. A total of 19 published in vitro and in vivo studies were evaluated to identify the anti-Blastocystis effects of various medicinal plants. Results: Multiplication of Blastocystis parasites as well as nucleic acids and protein synthesis, all be inhibited by extracts from different medicinal plants. These natural agents have been shown to be both safe and effective when compared to the existing treatment options. Conclusion: Different medicinal plants can combat Blastocystis infection and could be a good substitute for metronidazole and other synthetic treatments.

Pulegone ((R)-5-Methyl-2-(1-methylethylidine) cyclohexanone) is a pharmacologically active, natural monoterpene ketone obtained from leaves and flowering tops of the mint family (Lamiaceae). The aim is to comprise the physicochemical and biological aspects of pulegone. All significant databases were collected via electronic search using Pubmed, Scopus, Web of Science, and Science Direct and were compiled. This review presents the occurrence, chemistry, and modifications of pulegone structure and its effect on the biological system. Pulegone represents various pharmacological properties, i.e., antioxidant, antimicrobial, anti-feeding, antifungal, antiviral, and pesticide activities, and has a significant role as an abortifacient and emmenagogue. Thus, this present review concludes the knowledgeable erudition on pulegone that paves the way for further work.

Background: Acinetobacter baumannii is an opportunistic multidrugresistant, aerobic, glucose non-fermentative, and oxidative-negative coccobacilli bacteria. This life-threatening nosocomial infection is associated with immunocompromised patients. Objective: This review aims to investigate the multiple drug resistance mechanisms and new emerging diagnostics & treatments for Acinetobacter baumannii. Methods: All the articles that were most relevant to A. baumannii virulence and drug resistance mechanisms were founded by a literature search on PubMed. Google Patents were used to find discoveries related to diagnostics and treatment. Results: Efflux pumps, β-lactamases, aminoglycosides, outer membrane proteins, and alteration of the target sites were identified in the Acinetobacter baumannii pathogen as the most prevalent drug resistance mechanisms. Gene detection, peptide detection, and antigen-antibody-associated detection were the latest diagnostics. Novel antimicrobial peptides, sterilization techniques using blue light, and combination therapies are being developed to effectively treat A. baumannii infections. Conclusion: This review concludes that new drugs and formulations with high efficiency, low cytotoxicity, and no nephrotoxicity are in absolute need. In the near future, we can expect omics technology to play a significant role in discovering new drugs and potential targets.

Introduction: Steroids have shown its usefulness in critically ill COVID-19 patients. However, the time of starting steroid and dose tailored to severity remain a matter of inquiry due to still emerging evidences and wide-ranging concerns of benefits and harms. We did a retrospective record analysis in an apex teaching hospital ICU setting to explore optimal doses and duration of steroid therapy which can decrease mortality. Methods: 114 adults with COVID-19-ARDS admitted to ICU between 20th March-15th August 2020 were included in chart review. We did preliminary exploratory analysis (rooted in steroid therapy matrix categorized by dose and duration) to understand the effect of several covariates on survival. This was followed by univariate and multivariate Cox proportion hazard regression analysis and model diagnostics. Results: Exploratory analysis and visualization indicated age, optimal steroid, severity (measured in P/F) of disease and infection status as potential covariates for survival. Univariate cox regression analysis showed significant positive association of age > 60 years {2.6 (1.5-4.7)} and protective effect of optimum steroid {0.38(0.2-0.72)} on death (hazard) in critically ill patients. Multivariate cox regression analysis after adjusting effect of age showed protective effect of optimum steroid on hazard defined as death {0.46(0.23-0.87), LR = 17.04, (p = 2e-04)}. The concordance was 0.70 and model diagnostics fulfilled the assumption criteria for proportional hazard model. Conclusion: Optimal dose steroid as per defined ‘optimum’ (<24 hours and doses tailored to P/F at presentation) criteria can offer protective effect from mortality which persists after adjusting for age. This protective effect was not found to be negatively influenced by the risk of infection.

Background: COVID- 19 vaccines have been released, giving a major hope of getting rid of the dark pandemic crisis. The availability of vaccines does not necessarily mean that the mass vaccination program is a success. We aimed to investigate COVID-19 vaccination knowledge level, acceptance rate, and perception state among Egyptians. Methods: An analytical cross-sectional online survey was carried out utilizing a selfadministered adult questionnaire that assesses vaccination acceptance with related sociodemographic factors and perceptions based on health belief model perspectives. Predictors of vaccination acceptance were based on logistic regression analysis. Results: We analyzed data for 957 participants, aged 18–78 years, 55.7% were females, and 66.9% were healthcare workers (HCWs). About one-fourth had a history of confirmed COVID-19 infection and 56.5% would accept to have one of the COVID-19 vaccines, where “Pfizer” was the preferable one (37.8%), while “AstraZeneca” was the most rejected vaccine (26.8%). The 1st vaccine dose was received by 273 (28.5%) of which 260 were intended to receive the 2nd dose. Vaccine efficacy, side effects, protection time, and administration route were essentially among the factors that may influence their decision to accept COVID-19 vaccines. About 83.1% had good knowledge about vaccination which was significantly higher with increased age, among graduates/professionals, governmental workers, HCWs in addition to those able to save/invest money, had a history of confirmed COVID-19 infection and intending to have COVID-19 vaccine. Perceptions that vaccination decreases the chance of getting COVID-19 or its complications (OR = 9.28; CI: 5.03-17.12), vaccination makes less worry about catching COVID-19 (OR = 6.76; CI: 3.88-11.76), and being afraid of getting COVID-19 (OR = 2.04; CI: 1.26–3.31) were strong significant predictors for vaccine acceptance. Conclusion: Vaccine campaigns should emphasize vaccine benefits and highlight the severity of infection while addressing barriers to vaccination in order to improve vaccine coverage among populations.

Background: Credentials of molecular diagnostic approaches are an important goal. Since protein-protein interaction (PPI) network analysis is an apposite method for molecular valuation, a PPI grid related to Intrinsically Disordered Proteins (IDPs) of RA was targeted in the present research. Aim: The aim of the study is to analyse the role of highly disordered proteins and their functional parameters in causing Rheumatoid Arthritis (RA). Methods: Cytoscape software helped in identifying molecular interaction networks. Intrinsically disordered proteins lack higher order structure and have functional advantages, but their dysregulation can cause several diseases. All the significant proteins responsible for RA were identified. On the basis of the data obtained, highly disordered proteins were selected. Further, MSA was done to find the similarity among the highly disordered proteins and their functional partners. To determine the most relevant functional partner( s)/interacting protein(s) out of large network, three filters were introduced in the methodology. Results: The two filtered proteins, IBSP and FGF2, have common functions and also play a vital role in the pathways of RA. Thus, gives an in-depth knowledge of molecular mechanisms involved in Rheumatoid Arthritis and targeted therapeutics. Conclusion: The network analysis of these proteins has been explored using Cytoscape, and the proteins with favourable values of graph centrality parameters such as IBSP and FGF2 are identified. Interesting functional cross talk such as bio mineralization, boneremodelling, angiogenesis, cell differentiation, etc., of SPP1 with IBSP and FGF2 is found, which throws light into the fact that these two proteins play a vital role in the pathways of RA.