Antibiotics · 18 authors, 13 centres
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Researchers compiled a cross-sectoral database of over 10,000 ESBL/AmpC-producing E. coli isolates from eight EU countries spanning livestock, human, environmental, pet, wildlife, and food sources. The effort highlighted major challenges including geographical under-representation, sectoral data gaps, and heterogeneity in gene characterization methods.
This study describes the construction of the DiSCoVeR ESC-EC database, compiling ESBL/AmpC-producing E. coli isolate data from eight EU member states across human, animal, food, and environmental sectors. The database contains over 10,000 isolates, with the livestock sector best represented and pets, wildlife, and human sectors comparatively underrepresented. Human isolates were available from only four countries, and environmental data from only two. Key challenges included lack of geographical representativeness (8 of 27 EU states), inconsistent ESBL gene description across institutes (e.g., reporting gene groups versus specific gene types), duplicate isolates, and missing ESBL/AmpC gene data for 26% of isolates. The database serves as a resource for risk assessment and source attribution modeling but requires harmonized guidelines for data collection and reporting to enable robust cross-sectoral One Health analyses.
