Franz Allerberger

Antimicrobial resistance (AMR) is a serious threat to global public health, but obtaining representative data on AMR for healthy human populations is difficult. Here, we use metagenomic analysis of untreated sewage to characterize the bacterial resistome from 79 sites in 60 countries. We find systematic differences in abundance and diversity of AMR genes between Europe/North-America/Oceania and Africa/Asia/South-America. Antimicrobial use data and bacterial taxonomy only explains a minor part of the AMR variation that we observe. We find no evidence for cross-selection between antimicrobial classes, or for effect of air travel between sites. However, AMR gene abundance strongly correlates with socio-economic, health and environmental factors, which we use to predict AMR gene abundances in all countries in the world. Our findings suggest that global AMR gene diversity and abundance vary by region, and that improving sanitation and health could potentially limit the global burden of AMR. We propose metagenomic analysis of sewage as an ethically acceptable and economically feasible approach for continuous global surveillance and prediction of AMR.

Hemolytic-uremic syndrome (HUS) is mainly associated with foodborne infections by Shiga toxin-producing Escherichia coli (STEC). From January 1997 through December 2000, 394 children with HUS were evaluated in a prospective multicenter surveillance study in Germany and Austria (incidences, 0.7/100,000 and 0.4/100,000 children <15 years old, respectively). Blood leukocytosis was associated with increased detection of STEC in stool cultures (P<.01) and a more severe disease course. Risk of death was associated with cerebral involvement (P<.01). Most strikingly, non-O157:H7 STEC were detected in 43% of stool cultures of patients with HUS: O26 was detected in 15%, sorbitol-fermenting O157:H(-) in 10%, O145 in 9%, O103 in 3%, and O111 in 43%. Patients with O157:H7 serotypes required dialysis for a longer time and had bloody diarrhea detected more frequently, compared with patients with non-O157:H7 serotypes (P<.05). This large study in children with HUS underlines the rising importance of non-O157:H7 serotypes, and, despite increased public awareness, the number of patients remained unchanged.

Whole-genome sequencing (WGS) has emerged today as an ultimate typing tool to characterize Listeria monocytogenes outbreaks. However, data analysis and interlaboratory comparability of WGS data are still challenging for most public health laboratories. Therefore, we have developed and evaluated a new L. monocytogenes typing scheme based on genome-wide gene-by-gene comparisons (core genome multilocus the sequence typing [cgMLST]) to allow for a unique typing nomenclature. Initially, we determined the breadth of the L. monocytogenes population based on MLST data with a Bayesian approach. Based on the genome sequence data of representative isolates for the whole population, cgMLST target genes were defined and reappraised with 67 L. monocytogenes isolates from two outbreaks and serotype reference strains. The Bayesian population analysis generated five L. monocytogenes groups. Using all available NCBI RefSeq genomes (n = 36) and six additionally sequenced strains, all genetic groups were covered. Pairwise comparisons of these 42 genome sequences resulted in 1,701 cgMLST targets present in all 42 genomes with 100% overlap and ≥90% sequence similarity. Overall, ≥99.1% of the cgMLST targets were present in 67 outbreak and serotype reference strains, underlining the representativeness of the cgMLST scheme. Moreover, cgMLST enabled clustering of outbreak isolates with ≤10 alleles difference and unambiguous separation from unrelated outgroup isolates. In conclusion, the novel cgMLST scheme not only improves outbreak investigations but also enables, due to the availability of the automatically curated cgMLST nomenclature, interlaboratory exchange of data that are crucial, especially for rapid responses during transsectorial outbreaks.