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Open AccessJournal ArticleDOI

Mechanisms of resistance to aminoglycoside antibiotics: overview and perspectives

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TLDR
By far the most widespread mechanism of resistance to AGs is the inactivation of these antibiotics by AG-modifying enzymes, and an overview of these mechanisms is provided.
Abstract
Aminoglycoside (AG) antibiotics are used to treat many Gram-negative and some Gram-positive infections and, importantly, multidrug-resistant tuberculosis. Among various bacterial species, resistance to AGs arises through a variety of intrinsic and acquired mechanisms. The bacterial cell wall serves as a natural barrier for small molecules such as AGs and may be further fortified via acquired mutations. Efflux pumps work to expel AGs from bacterial cells, and modifications here too may cause further resistance to AGs. Mutations in the ribosomal target of AGs, while rare, also contribute to resistance. Of growing clinical prominence is resistance caused by ribosome methyltransferases. By far the most widespread mechanism of resistance to AGs is the inactivation of these antibiotics by AG-modifying enzymes. We provide here an overview of these mechanisms by which bacteria become resistant to AGs and discuss their prevalence and potential for clinical relevance.

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Citations
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Dynamics and removal mechanisms of antibiotic and antibiotic resistance genes during the fermentation process of spectinomycin mycelial dregs: An integrated meta-omics study

TL;DR: In this paper , the authors used integrated-omics and qPCR approaches to reveal the dynamics and removal mechanisms of antibiotic and antibiotic resistance genes (ARGs) during the fermentation of different spectinomycin mycelial dregs (SMDs).
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Pathogenic Escherichia coli Possess Elevated Growth Rates under Exposure to Sub-Inhibitory Concentrations of Azithromycin

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Book ChapterDOI

Natural Products in Antibiotic Discovery

TL;DR: The chemical diversity of antibiotics can be increased by exploring new sources for antibiotic-producing organisms, by employing synthetic biology approaches using known scaffolds, and by mining genomes for silent or cryptic biosynthetic clusters.
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Antibiotics and Bacterial Resistance—A Short Story of an Endless Arms Race

TL;DR: In this paper , a brief overview of the current nanomedicine-based strategies that aim to improve the efficacy of antibiotics is provided, including drug target site changes, increased cell wall permeability to antibiotics, antibiotic inactivation, and efflux pumps.
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Multi-label classification for multi-drug resistance prediction of Escherichia coli

TL;DR: In this paper , the ensemble of classifier chains (ECC) model was used to model multi-drug resistance in pathogenic bacteria and outperformed other MLC methods, which can contribute to reducing the threat of antimicrobial resistance and related deaths by improving the speed and accuracy of the identification of pathogens and resistance.
References
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Journal ArticleDOI

Molecular mechanisms of antibiotic resistance.

TL;DR: Recent advances in understanding of the mechanisms by which bacteria are either intrinsically resistant or acquire resistance to antibiotics are reviewed, including the prevention of access to drug targets, changes in the structure and protection of antibiotic targets and the direct modification or inactivation of antibiotics.
Journal ArticleDOI

Antibiotics and Bacterial Resistance in the 21st Century

TL;DR: In this review the factors that have been linked to the waxing of bacterial resistance are addressed and profiles of bacterial species that are deemed to be particularly concerning at the present time are illustrated.
Journal ArticleDOI

Aminoglycosides: Activity and Resistance

TL;DR: Aminoglycosides are highly potent, broad-spectrum antibiotics with many desirable properties for the treatment of life-threatening infections and have a history marked by the successive introduction of a series of milestone compounds.
Journal ArticleDOI

ARG-ANNOT, a New Bioinformatic Tool To Discover Antibiotic Resistance Genes in Bacterial Genomes

TL;DR: A concise database for BLAST using a Bio-Edit interface that can detect AR genetic determinants in bacterial genomes and can rapidly and easily discover putative new AR geneticeterminants is created.
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