In 2035, will all bacteria be multidrug resistant? We are not sure

Laupland, Kevin B.; Ruppé, Étienne; Harbarth, Stéphan Juergen

doi:10.1007/s00134-016-4343-2

Cited by 5 publications

(3 citation statements)

References 14 publications

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“…The rise in drug-resistant bacterial infections is a threat to global health security. , Each year in the United States, drug-resistant pathogens cause more than 2.8 million illnesses and more than 35 000 deaths, according to the Centers for Disease Control and Prevention (CDC) . Elucidation of evolutionary trajectories and genes associated with a gain of antimicrobial resistance are critical to understanding the molecular mechanisms of resistance; the development of potentially effective clinical therapies that would limit the spread of resistance and for identification of emerging resistance threats require new drug discovery …”

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confidence: 99%

Identification of Evolutionary Trajectories Associated with Antimicrobial Resistance Using Microfluidics

et al. 2021

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In vitro experimental evolution of pathogens to antibiotics is commonly used for the identification of clinical biomarkers associated with antibiotic resistance. Microdroplet emulsions allow exquisite control of spatial structure, species complexity, and selection microenvironments for such studies. We investigated the use of monodisperse microdroplets in experimental evolution. Using Escherichia coli adaptation to doxycycline, we examined how changes in environmental conditions such as droplet size, starting lambda value, selection strength, and incubation method affected evolutionary outcomes. We also examined the extent to which emulsions could reveal potentially new evolutionary trajectories and dynamics associated with antimicrobial resistance. Interestingly, we identified both expected and unexpected evolutionary trajectories including large-scale chromosomal rearrangements and amplification that were not observed in suspension culture methods. As microdroplet emulsions are well-suited for automation and provide exceptional control of conditions, they can provide a high-throughput approach for biomarker identification as well as preclinical evaluation of lead compounds.

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confidence: 99%

Identification of Evolutionary Trajectories Associated with Antimicrobial Resistance Using Microfluidics

et al. 2021

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“…There is a debate around how antimicrobial resistance will evolve in the coming decades [28-30] and what countries should do to prevent a post-antibiotic world. More and better data are essential to produce high-quality estimates that can inform robust policies to address growing drug resistance [31].…”

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confidence: 99%

Resistance proportions for eight priority antibiotic-bacterium combinations in OECD, EU/EEA and G20 countries 2000 to 2030: a modelling study

et al. 2019

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Background Antimicrobial resistance is widely considered an urgent global health issue due to associated mortality and disability, societal and healthcare costs. Aim To estimate the past, current and projected future proportion of infections resistant to treatment for eight priority antibiotic-bacterium combinations from 2000 to 2030 for 52 countries. Methods We collated data from a variety of sources including ResistanceMap and World Bank. Feature selection algorithms and multiple imputation were used to produce a complete historical dataset. Forecasts were derived from an ensemble of three models: exponential smoothing, linear regression and random forest. The latter two were informed by projections of antibiotic consumption, out-of-pocket medical spending, populations aged 64 years and older and under 15 years and real gross domestic product. We incorporated three types of uncertainty, producing 150 estimates for each country-antibiotic-bacterium-year. Results Average resistance proportions across antibiotic-bacterium combinations could grow moderately from 17% to 18% within the Organisation for Economic Co-operation and Development (OECD; growth in 64% of uncertainty sets), from 18% to 19% in the European Union/European Economic Area (EU/EEA; growth in 87% of uncertainty sets) and from 29% to 31% in Group of Twenty (G20) countries (growth in 62% of uncertainty sets) between 2015 and 2030. There is broad heterogeneity in levels and rates of change across countries and antibiotic-bacterium combinations from 2000 to 2030. Conclusion If current trends continue, resistance proportions are projected to marginally increase in the coming years. The estimates indicate there is significant heterogeneity in resistance proportions across countries and antibiotic-bacterium combinations.

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“…The rise in drug-resistant bacterial infections threatens to undermine decades of biomedical progress ( Kraker et al., 2016 ; Laupland et al., 2016 ). As the number of multi-drug and pan-resistant strains has increased it has become increasingly clear that understanding the evolutionary trajectories and biochemical mechanisms responsible for antimicrobial resistance play an important role in developing approaches in diagnostics, therapeutics, and drug discovery ( Beabout et al., 2017 ).…”

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confidence: 99%

Microfluidic platform for spatially segregated experimental evolution studies with E. coli

et al. 2022

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In 2035, will all bacteria be multidrug resistant? We are not sure

Cited by 5 publications

References 14 publications

Identification of Evolutionary Trajectories Associated with Antimicrobial Resistance Using Microfluidics

Identification of Evolutionary Trajectories Associated with Antimicrobial Resistance Using Microfluidics

Resistance proportions for eight priority antibiotic-bacterium combinations in OECD, EU/EEA and G20 countries 2000 to 2030: a modelling study

Microfluidic platform for spatially segregated experimental evolution studies with E. coli

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