ABSTRACT
Antibiotics play an essential role in antimicrobial therapy. Among all the medications in children, the most commonly prescribed therapy is antibiotics and is currently the indispensable means to cure transmissible diseases. Several categories of antibiotics have been introduced into clinical practice to treat microbial infections. Reducing the unnecessary use of antibiotics is a global need and priority. This article aims to provide better knowledge and understanding of the impact of the early use of antibiotics. This article highlights the proper use of antibiotics in chil-dren, detailing how early and inappropriate use of antibiotics affect the gut microbiome during normal body development and consequently affect the metabolism due to diabetes mellitus, obe-sity, and recurrence of infections, such as UTI. Several new antibiotics in their development stage, newly marketed antibiotics, and some recalled and withdrawn from the market are also briefly discussed in this article. This study will help future researchers in exploring the latest information about antibiotics used in paediatrics.Copyright © 2023 Bentham Science Publishers.
ABSTRACT
Background: COVID-19, first reported in China, from the new strain of severe acute respiratory syndrome coronaviruses (SARS-CoV-2), poses a great threat to the world by claiming uncountable lives. SARS-CoV-2 is a highly infectious virus that has been spreading rapidly throughout the world. In the absence of any specific medicine to cure COVID-19, there is an urgent need to develop novel thera-peutics, including drug repositioning along with diagnostics and vaccines to combat the COVID-19. Many antivirals, antimalarials, antiparasitic, antibacterials, immunosuppressive anti-inflammatory, and immunoregulatory agents are being clinically investigated for the treatment of COVID-19. Objectives: The earlier developed one parameter regression model correlating the dock scores with in vitro anti-SARS-CoV-2 main protease activity well predicted the six drugs viz remdesivir, chloroquine, favipiravir, ribavirin, penciclovir, and nitazoxanide as potential anti-COVID agents. To further validate our earlier model, the biological activity of nine more recently published SARS-CoV-2 main protease inhibitors has been predicted using our previously reported model. Methods: In the present study, this regression model has been used to screen the existing antiviral, an-tiparasitic, antitubercular, and anti pneumonia chemotherapeutics utilizing dock score analyses to explore the potential including mechanism of action of these compounds in combating SARS-CoV-2 main prote-ase. Results: The high correlation (R=0.91) explaining 82.3% variance between the experimental versus predicted activities for the nine compounds is observed. It proves the robustness of our developed model. Therefore, this robust model has been further improved, taking a total number of 15 compounds to formu-late another model with an R-value of 0.887 and the explained variance of 78.6%. These models have been used for high throughput screening (HTS) of the 21 diverse compounds belonging to antiviral, an-tiparasitic, antitubercular, and anti pneumonia chemotherapeutics as potential repurpose agents to combat SARS-CoV-2 main protease. The models screened that the drugs bedaquiline and lefamulin have higher binding affinities (dock scores of-8.989 and-9.153 Kcal/mol respectively) than the reference compound {N}-[2-(5-fluoranyl-1~{H}-indol-3-yl)ethyl]ethanamide (dock score of-7.998 Kcal/Mol), as well as higher predicted activities with pEC50 of 0.783 and 0.937 µM and the 0.611 and 0.724 µM respectively. The clinically used repurposed drugs dexamethasone and cefixime have been predicted with pEC50 val-ues of-0.463 and-0.622 µM and-0.311 and-0.428 µM respectively for optimal inhibition. The drugs such as doxycycline, cefpodoxime, ciprofloxacin, sparfloxacin, moxifloxacin, and TBAJ-876 showed moderate binding affinity corresponding to the moderate predicted activity (-1.540 to-1.109 µM). Conclusion: In the present study, validation of our previously developed dock score-based one parametric regression model has been carried out by predicting 9 more SARS-CoV-2 main protease inhibitors. Another model has been formulated to explore the model's robustness. These models have been taken as a barometer for the screening of more potent compounds. The HTS revealed that the drugs such as bedaqui-line and lefamulin are highly predicted active compounds, whereas dexamethasone and cefixime have optimal inhibition towards SARS-CoV-2 main protease. The drugs such as doxycycline, cefpodoxime, ciprofloxacin, sparfloxacin, moxifloxacin, and TBAJ-876 have moderately active compounds towards the target inhibition.
ABSTRACT
Pleuromutilin is a fungal diterpene natural product with antimicrobial properties, semisynthetic derivatives of which are used in veterinary and human medicine. The development of bacterial resistance to pleuromutilins is known to be very slow, which makes the tricyclic diterpene skeleton of pleuromutilin a very attractive starting structure for the development of new antibiotic derivatives that are unlikely to induce resistance. Here, we report the very first synthetic modifications of pleuromutilin and lefamulin at alkene position C19-C20, by two different photoinduced addition reactions, the radical thiol-ene coupling reaction, and the atom transfer radical additions (ATRAs) of perfluoroalkyl iodides. Pleuromutilin were modified with the addition of several alkyl- and aryl-thiols, thiol-containing amino acids and nucleoside and carbohydrate thiols, as well as perfluoroalkylated side chains. The antibacterial properties of the novel semisynthetic pleuromutilin derivatives were investigated on a panel of bacterial strains, including susceptible and multiresistant pathogens and normal flora members. We have identified some novel semisynthetic pleuromutilin and lefamulin derivatives with promising antimicrobial properties.