Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates.

Whole genome sequencing (WGS) enables detailed characterization of bacteria at single nucleotide resolution. It provides data about acquired resistance genes and mutations leading to resistance. Although WGS is becoming an essential tool to predict resistance patterns accurately, comparing genotype to phenotype with WGS is still in its infancy. Additional data and validation are needed. In this retrospective study, we analysed 234 E. coli isolates from positive blood cultures using WGS as well as microdilution for 11 clinically relevant antibiotics, to compare the two techniques. We performed whole genome sequencing analyses on 234 blood culture isolates (genotype) to detect acquired antibiotic resistance. Minimal inhibitory concentrations (MIC) for E. coli were performed for amoxicillin, cefepime, cefotaxime, ceftazidime, meropenem, amoxicillin/clavulanic acid, piperacillin/tazobactam, amikacin, gentamicin, tobramycin, and ciprofloxacin, using the ISO 20776-1 standard broth microdilution method as recommended by EUCAST (phenotype). We then compared the two methods for statistical 'agreement'. A perfect (100%) categorical agreement between genotype and phenotype was observed for gentamicin and meropenem. However, no resistance to meropenem was observed. A high categorical agreement (> 95%) was observed for amoxicillin, cefepime, cefotaxime, ceftazidime, amikacin, and tobramycin. A categorical agreement lower than 95% was observed for amoxicillin/clavulanic acid, piperacillin/tazobactam, and ciprofloxacin. Most discrepancies occurred in isolates with MICs within ± 1 doubling dilution of the breakpoint and 22.73% of the major errors were samples that tested phenotypically susceptible at higher antibiotic exposure and were therefore considered as 'not resistant'. This study shows that WGS can be used as a valuable tool to predict phenotypic resistance against most of the clinically relevant antibiotics used for the treatment of E. coli bloodstream infections.

Molecular characterization of extraintestinal and diarrheagenic Escherichia coli blood isolates.

Pathogenic E. coli strains can be classified into two major groups, based on the presence of specific virulence factors: extraintestinal pathogenic E. coli (ExPEC) and diarrheagenic E. coli (DEC). Several case reports describe that DEC can cause bloodstream infections in some rare cases. This mainly concerns a few specific sequence types that express virulence factors from both ExPEC and DEC. In this study, we retrospectively analysed 234 E. coli blood isolates with whole genome sequencing (WGS). WGS was performed on an Illumina NovaSeq6000. Genotyping was performed using BioNumerics software. The presence of genes was determined with a minimum percentage sequence identity (ID) threshold of 95% and a minimum length for sequence coverage of 95%. Three of the 234 (1.28%) isolates were defined as DEC, 182 (77.78%) as ExPEC, and 49 (20.94%) did not carry pathotype-associated virulence genes. We identified 112 different virulence genes, 48 O-antigens, and 28 H-antigens 82 STs, among the 234 analyzed isolates. ST131 and ST88 were related to healthcare-associated infections. This study provides insight into the prevalence of virulence factors in a large set of E. coli blood isolates from the UZ Brussel. It illustrates high diversity in virulence profiles and highlights the potential of DEC to carry virulence factors associated with extraintestinal infections, making it possible for unusual pathotypes to invade and survive in the bloodstream causing bacteraemia. Diarrheagenic strains causing bacteremia are rare and presently underreported, but modern sequencing techniques will better underscore their importance.

Sink drains as reservoirs of VIM-2 metallo-ß-lactamase-producing Pseudomonas aeruginosa in a Belgian intensive care unit: relation to patients investigated by whole-genome sequencing.

BACKGROUND: Hospital-acquired infections caused by VIM-encoded metallo-ß-lactamase-positive Pseudomonas aeruginosa are a major problem in intensive care units (ICUs) worldwide. A previous study conducted in the UZ Brussel hospital revealed that sink drains of the ICU were a possible source of various multidrug-resistant pathogenic bacteria. AIM: To investigate the presence and persistence of VIM P. aeruginosa in the sink drains of the four adult ICUs and their role in nosocomial infections, emphasizing sink-to-patient transmission. METHODS: Thirty-six sinks located in the ICUs of the UZ Brussel were sampled and screened for the presence of VIM P. aeruginosa in August and October 2019. Whole-genome sequencing (WGS) was performed on all positive sink drain isolates together with 61 isolates from patients who were retrospectively selected (ICU patients 2019-2020, N = 46; non-ICU patients 2019, N = 6). FINDINGS: Twenty sinks were found positive for P. aeruginosa at both sampling time-points. WGS revealed that the predominating environmental cluster belonged to sequence type ST111. Ten additional STs were identified. VIM-2 was detected among all ST17 (N = 2) and ST111 (N = 14) sink drain isolates. Based on whole-genome multi-locus sequence typing analysis of all genomes, 15 clusters of highly related isolates were identified, of which seven included both sink drain and clinical isolates. CONCLUSION: Our findings confirm that sink drains are a possible source of VIM-2 P. aeruginosa, probably after being contaminated with clinical waste from patients. Patients could be exposed to VIM-2 P. aeruginosa dispersed in their environment because of colonized sink drains.