Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata

Pablo Catalán; Emily Wood; Jessica M. A. Blair; Ivana Gudelj; Jonathan R. Iredell; Robert E. Beardmore

doi:10.1038/s41467-022-30635-7

Nature Communications (May 2022)

Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata

Pablo Catalán,
Emily Wood,
Jessica M. A. Blair,
Ivana Gudelj,
Jonathan R. Iredell,
Robert E. Beardmore

Affiliations

Pablo Catalán: Biosciences, College of Life and Environmental Sciences, University of Exeter
Emily Wood: Biosciences, College of Life and Environmental Sciences, University of Exeter
Jessica M. A. Blair: Institute of Microbiology and Infection, College of Medical and Dental Sciences, University of Birmingham
Ivana Gudelj: Biosciences, College of Life and Environmental Sciences, University of Exeter
Jonathan R. Iredell: Centre for Infectious Diseases and Microbiology, Westmead Institute for Medical Research
Robert E. Beardmore: Biosciences, College of Life and Environmental Sciences, University of Exeter

DOI: https://doi.org/10.1038/s41467-022-30635-7
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 15

Abstract

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Pathogens are typically classified as ‘antibiotic-resistant’ for clinical purposes based on cut-off values of minimum inhibitory concentrations (MICs). In this study, the authors explore quantitative values of MICs using the global ‘ATLAS’ database of pathogen-antibiotic pairs, describe trends in resistance, and compare results to other antibiotic resistance surveillance data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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