Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata
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 re...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-05-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-30635-7 |
| _version_ | 1828228448926040064 |
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| author | Pablo Catalán Emily Wood Jessica M. A. Blair Ivana Gudelj Jonathan R. Iredell Robert E. Beardmore |
| author_facet | Pablo Catalán Emily Wood Jessica M. A. Blair Ivana Gudelj Jonathan R. Iredell Robert E. Beardmore |
| author_sort | Pablo Catalán |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T18:20:33Z |
| format | Article |
| id | doaj.art-554efb0606b5483784bf9d3ba61d6eca |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-12T18:20:33Z |
| publishDate | 2022-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-554efb0606b5483784bf9d3ba61d6eca2022-12-22T03:21:26ZengNature PortfolioNature Communications2041-17232022-05-0113111510.1038/s41467-022-30635-7Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadataPablo Catalán0Emily Wood1Jessica M. A. Blair2Ivana Gudelj3Jonathan R. Iredell4Robert E. Beardmore5Biosciences, College of Life and Environmental Sciences, University of ExeterBiosciences, College of Life and Environmental Sciences, University of ExeterInstitute of Microbiology and Infection, College of Medical and Dental Sciences, University of BirminghamBiosciences, College of Life and Environmental Sciences, University of ExeterCentre for Infectious Diseases and Microbiology, Westmead Institute for Medical ResearchBiosciences, College of Life and Environmental Sciences, University of ExeterPathogens 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.https://doi.org/10.1038/s41467-022-30635-7 |
| spellingShingle | Pablo Catalán Emily Wood Jessica M. A. Blair Ivana Gudelj Jonathan R. Iredell Robert E. Beardmore Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata Nature Communications |
| title | Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata |
| title_full | Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata |
| title_fullStr | Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata |
| title_full_unstemmed | Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata |
| title_short | Seeking patterns of antibiotic resistance in ATLAS, an open, raw MIC database with patient metadata |
| title_sort | seeking patterns of antibiotic resistance in atlas an open raw mic database with patient metadata |
| url | https://doi.org/10.1038/s41467-022-30635-7 |
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