What is it about?

Link to the full-text: http://www.thelancet.com/journals/laninf/article/PIIS1473-3099(15)00467-3/fulltext We have reported that the five important strategies needed for minimising antibiotic resistance are (i) antibiotic stewardship to maintain the value of existing and future antibiotics, (ii) the timing of prescription to use the effective antibiotics sooner rather than later, (ii) to develop and approve ten new antibiotics by 2020, (iv) the development of a molecular method for detecting antibiotic resistance genes, and (v) to avoid the delay in distribution of US$2 billion global antibiotic resistance innovation fund.

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Why is it important?

These five strategies have been urgently needed to minimise antibiotic resistance and this report also offered points on how to enable the global coordinated action plans. Especially, the big problem in investigating β-lactam resistance is that most researchers detect β-lactamase (bla) genes in clinical isolates using primer pairs only for several expected bla gene types. We have recently reported a new large-scale bla detection method (large-scaleblaFinder) that can recognize the existence of almost all clinically available bla genes and identify the exact type of detected bla genes. Our method can accurately detect bla gene types, including almost all clinically available bla genes. Thus, this technique can solve this big problem in detecting β-lactam resistance.

Perspectives

Among five strategies, the development of fast and accurate diagnostic methods to detect antibiotic resistance genes (or pathogens) other than bla (or bla-harboring Gram-negative pathogenic bacteria) is urgently needed to minimise antibiotic resistance, as already emphasised in the latest report (http://amr-review.org/sites/default/files/Paper-Rapid-Diagnostics-Stopping-Unnecessary-Prescription.pdf) by O’Neil and colleagues.

Professor Sang Hee Lee
Myongji University

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This page is a summary of: How to minimise antibiotic resistance, The Lancet Infectious Diseases, January 2016, Elsevier,
DOI: 10.1016/s1473-3099(15)00467-3.
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