Biomedical subjects

Hajo Grundmann

Publications and source records attributed to Hajo Grundmann.

4 recordsLinked to original sources

PubMed2026

Emergence of carbapenemase-producing Escherichia coli in acute care hospitals in 32 European countries (the CCRE survey): a prospective, multicentre, cross-sectional, epidemiological, microbiological, and genomic surveillance study.

BACKGROUND: The emergence of carbapenem resistance in Escherichia coli is of major concern due to the high propensity of spread of this species and scarce treatment options. Herein, we examined the occurrence and spread of carbapenem-resistant E coli based on the carbapenem-resistant and/or colistin-resistant Enterobacterales (CCRE) survey performed across European countries in 2019. METHODS: We analysed epidemiological, microbiological, and whole-genome sequencing data of 548 E coli isolates from individual patients from 156 hospitals in 32 European countries over 6 months in 2019. These hospitals collected the first ten successive isolates of carbapenem-resistant or carbapenem-susceptible increased exposure (carbapenem-R/I) Klebsiella pneumoniae species complex or E coli, and carbapenem-susceptible (carbapenem-S) comparator isolates of the same species. Antimicrobial susceptibility testing was performed for 19 antimicrobial agents. Whole-genome sequencing was performed centrally using Illumina technology. Isolates from the CCRE survey were compared with those from the European Survey of Carbapenemase-Producing Enterobacteriaceae (EuSCAPE) study. FINDINGS: Of the 548 E coli isolates, 211 (38·5%) were carbapenem-resistant or susceptible, increased exposure (carbapenem-R/I), and 337 (61·5%) were carbapenem-susceptible (carbapenem-S). Five sequence types (STs) accounted for 96 (45·5%) of 211 carbapenem-R/I isolates: ST131 (27), ST410 (20), ST38 (19), ST167 (16), and ST648 (14). Carbapenemase genes were identified in 182 (86·3%) carbapenem-R/I isolates, a pronounced increase from the 2013-14 EuSCAPE study (36 of 99, 36·4%). The most common genes were blaNDM-5 (62 of 182, 34·1%) and blaOXA-48 (40 of 182, 22·0%). blaNDM-5 carriage increased substantially compared with that in EuSCAPE (two of 99, 2·02%). Phylogenetic analysis showed substantial clonal spread of globally disseminated blaNDM-5-harbouring lineages, with numerous introductions into Europe but minimal onward transmission. INTERPRETATION: High-risk STs of E coli carrying carbapenemase genes are rapidly spreading globally, although our results indicate that, in 2019, most cases in Europe were sporadic. We urge vigilant monitoring, including genomic surveillance, and strengthening of control efforts, to reduce mortality and morbidity associated with the impending rise in carbapenem-R/I E coli cases. FUNDING: European Centre for Disease Prevention and Control and the Centre for Genomic Pathogen Surveillance.

Humans↗

PubMed2024

Rapid inference of antibiotic susceptibility phenotype of uropathogens using metagenomic sequencing with neighbor typing.

UNLABELLED: Timely diagnostic tools are needed to improve antibiotic treatment. Pairing metagenomic sequencing with genomic neighbor typing algorithms may support rapid clinically actionable results. We created resistance-associated sequence elements (RASE) databases for Escherichia coli and Klebsiella spp. and used them to predict antibiotic susceptibility in directly sequenced (Oxford Nanopore) urine specimens from critically ill patients. RASE analysis was performed on pathogen-specific reads from metagenomic sequencing. We evaluated the ability to predict (i) multi-locus sequence type (MLST) and (ii) susceptibility profiles. We used neighbor typing to predict MLST and susceptibility phenotype of E. coli (64/80) and Klebsiella spp. (16/80) from urine samples. When optimized by lineage score, MLST predictions were concordant for 73% of samples. Similarly, a RASE-susceptible prediction for a given isolate was associated with a specificity and a positive likelihood ratio (LR+) for susceptibility of 0.65 (95% CI, 0.54-0.76) and 2.26 (95% CI, 1.75-2.92), respectively, with an increase in the probability of susceptibility of 10%. A RASE-non-susceptible prediction was associated with a sensitivity and a negative likelihood ratio (LR-) for susceptibility of 0.79 (95% CI, 0.74-0.84) and 0.32 (95% CI, 0.24-0.43) respectively, with a decrease in the probability of susceptibility of 20%. Numerous antibiotic classes could reasonably be reconsidered empiric therapy by shifting empiric probabilities of susceptibility across relevant treatment thresholds. Moreover, these predictions can be available within 6 h. Metagenomic sequencing of urine specimens with neighbor typing provides rapid and informative predictions of lineage and antibiotic susceptibility with the potential to impact clinical decision-making. IMPORTANCE: Urinary tract infections (UTIs) are a common diagnosis in hospitals and are often treated empirically with broad-spectrum antibiotics. These broad-spectrum agents can select for resistance in these bacteria and co-colonizing organisms. The use of narrow-spectrum agents is desirable as an antibiotic stewardship measure; however, it is counterbalanced by the need for adequate therapy. Identification of causative organisms and their antibiotic susceptibility can help direct treatment; however, conventional testing requires days to produce actionable results. Methods to quickly and accurately predict susceptibility phenotypes for pathogens causing UTI could thus improve both patient outcomes and antibiotic stewardship. Here, expanding on previous work showing accurate prediction for certain Gram-positive pathogens, we demonstrate how the use of RASE from metagenomic sequencing can provide informative and rapid phenotype prediction results for common Gram-negative pathogens in UTI, highlighting the future potential of this method to be used in clinical settings to guide empiric antibiotic selection.

Humans↗

PubMed2024

Estimation of SARS-CoV-2 fitness gains from genomic surveillance data without prior lineage classification.

The emergence of SARS-CoV-2 variants with increased fitness has had a strong impact on the epidemiology of COVID-19, with the higher effective reproduction number of the viral variants leading to new epidemic waves. Tracking such variants and their genetic signatures, using data collected through genomic surveillance, is therefore crucial for forecasting likely surges in incidence. Current methods of estimating fitness advantages of variants rely on tracking the changing proportion of a particular lineage over time, but describing successful lineages in a rapidly evolving viral population is a difficult task. We propose a method of estimating fitness gains directly from nucleotide information generated by genomic surveillance, without a priori assigning isolates to lineages from phylogenies, based solely on the abundance of single nucleotide polymorphisms (SNPs). The method is based on mapping changes in the genetic population structure over time. Changes in the abundance of SNPs associated with periods of increasing fitness allow for the unbiased discovery of new variants, thereby obviating a deliberate lineage assignment and phylogenetic inference. We conclude that the method provides a fast and reliable way to estimate fitness advantages of variants without the need for a priori assigning isolates to lineages.

COVID-19↗

PubMed2003

How clonal is Staphylococcus aureus?

Staphylococcus aureus is an important human pathogen and represents a growing public health burden owing to the emergence and spread of antibiotic-resistant clones, particularly within the hospital environment. Despite this, basic questions about the evolution and population biology of the species, particularly with regard to the extent and impact of homologous recombination, remain unanswered. We address these issues through an analysis of sequence data obtained from the characterization by multilocus sequence typing (MLST) of 334 isolates of S. aureus, recovered from a well-defined population, over a limited time span. We find no significant differences in the distribution of multilocus genotypes between strains isolated from carriers and those from patients with invasive disease; there is, therefore, no evidence from MLST data, which index variation within the stable "core" genome, for the existence of hypervirulent clones of this pathogen. Examination of the sequence changes at MLST loci during clonal diversification shows that point mutations give rise to new alleles at least 15-fold more frequently than does recombination. This contrasts with the naturally transformable species Neisseria meningitidis and Streptococcus pneumoniae, in which alleles change between 5- and 10-fold more frequently by recombination than by mutation. However, phylogenetic analysis suggests that homologous recombination does contribute toward the evolution of this species over the long term. Finally, we note a striking excess of nonsynonymous substitutions in comparisons between isolates belonging to the same clonal complex compared to isolates belonging to different clonal complexes, suggesting that the removal of deleterious mutations by purifying selection may be relatively slow.

Alleles↗