Correia, VG, Pinheiro BA, Carvalho AL, Palma AS.
2019.
Resistance to Aminoglycosides. Antibiotic Drug Resistance. :1-38.: John Wiley & Sons, Ltd
AbstractSummary The emergence of bacterial resistance to different antibiotics in clinical use, together with the knowledge on the mechanisms by which bacteria resist the action of aminoglycosides, have contributed to the renewed interest in these molecules as potential antimicrobials. Here, we give an overview on natural and semisynthetic aminoglycosides and their structural features and modes of action, focusing on the structural insight underlying resistance mechanisms. Developments on carbohydrate chemistry and microarray technology are highlighted as powerful approaches toward generation of new aminoglycosides and for screening their interactions with RNAs and proteins. The link between antibiotic uptake and the human gut microbiome is also addressed, focusing on gut microbiome function and composition, antibiotic-induced alterations in host health, and antibiotic resistance. In addition, strategies to modulate human microbiome responses to antibiotics are discussed as novel approaches for aminoglycoside usage and for the effectiveness of antibiotic therapy.
Coelho, C, Muthukumaran J, Santos-Silva T, Romão MJ.
2019.
Systematic exploration of predicted destabilizing nonsynonymous single nucleotide polymorphisms (nsSNPs) of human aldehyde oxidase: A Bio-informatics study. Pharmacology Research & Perspectives. 7:e00538., Number 6
AbstractAbstract Aldehyde Oxidase (hAOX1) is a cytosolic enzyme involved in the metabolism of drugs and xenobiotic compounds. The enzyme belongs to the xanthine oxidase (XO) family of Mo containing enzyme and is a homo-dimer of two 150 kDa monomers. Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) of hAOX1 have been reported as affecting the ability of the enzyme to metabolize different substrates. Some of these nsSNPs have been biochemically and structurally characterized but the lack of a systematic and comprehensive study regarding all described and validated nsSNPs is urgent, due to the increasing importance of the enzyme in drug development, personalized medicine and therapy, as well as in pharmacogenetic studies. The objective of the present work was to collect all described nsSNPs of hAOX1 and utilize a series of bioinformatics tools to predict their effect on protein structure stability with putative implications on phenotypic functional consequences. Of 526 nsSNPs reported in NCBI-dbSNP, 119 are identified as deleterious whereas 92 are identified as nondeleterious variants. The stability analysis was performed for 119 deleterious variants and the results suggest that 104 nsSNPs may be responsible for destabilizing the protein structure, whereas five variants may increase the protein stability. Four nsSNPs do not have any impact on protein structure (neutral nsSNPs) of hAOX1. The prediction results of the remaining six nsSNPs are nonconclusive. The in silico results were compared with available experimental data. This methodology can also be used to identify and prioritize the stabilizing and destabilizing variants in other enzymes involved in drug metabolism.