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Pletz, M.

Publications and source records attributed to Pletz, M..

3 recordsLinked to original sources

Bacteriophage-mediated decolonization of Enterobacteriaceae in a novel Galleria mellonella gut colonization model

PurposeGalleria mellonella larvae have emerged as an invertebrate model for studying bacterial pathogenesis and novel therapeutic options due to ethical concerns associated with the use of mammalian models such as mice. The benefits of using G. mellonella larvae include a less complex microbiome in the gut, making it suitable for gut colonization studies. The intestinal colonization of Klebsiella pneumoniae (Kp) and Escherichia coli (Ec), two of the most antibiotic-resistant bacteria on the World Health Organizations (WHO) priority list, plays a key role in the spread of antibiotic resistance. Bacteriophage therapy is emerging as a promising alternative for antibiotic-resistant bacteria due to its ability to specifically target and infect bacterial hosts, making it suitable for gut decontamination. This study aimed to establish a novel Enterobacteriaceae G. mellonella larvae gut colonization model and compare the efficacy of conventional antibiotic treatment with a one-time phage cocktail in decolonizing the gut. ApproachLarvae were force-fed with different concentrations of bacterial doses of K. pneumoniae and E. coli at 0 h, 24 h, and 48 h, followed by survival monitoring at 24 h intervals. After 48 h and 120 h of the last force feed, the colony forming unit (CFU) count in the gut was evaluated. After successful colonization, larvae were one-time force-fed with either a 107 PFU/larvae bacteriophage cocktail or with ciprofloxacin 4 mg/L or meropenem 2 mg/L. After 24 h post phage feeding, CFU counts were determined. Main findingsThree bacterial doses of 106 CFU/larvae led to a stable gut colonization in the larvae gut regardless of the K. pneumoniae and E. coli strains. Bacteriophage force-feeding reduced bacterial colonization by 4 log10 CFU/larvae whereas antibiotic treatment led to a 2 log10 CFU/larvae reduction compared to the control. The novel alternative G. mellonella model for gut colonization studies can be used for proof-of-concept studies, reducing or even obviating the number of follow-up experiments in vertebrate models.

microbiology↗

Adaptive nanopore sequencing on miniature flow cell detects extensive antimicrobial resistence

Rapid screening of hospital admissions to detect asymptomatic carriers of resistant bacteria can prevent pathogen outbreaks. However, the resulting isolates rarely have their genome sequenced due to cost constraints and long turn-around times to get and process the data, limiting their usefulness to the practitioner. Here we use real-time, on-device target enrichment ("adaptive") sequencing as a highly multiplexed assay covering 1,147 antimicrobial resistance genes. We compare its utility against standard and metagenomic sequencing, focusing on an isolate of Raoultella ornithinolytica harbouring three carbapenemases (NDM, KPC, VIM). Based on this experimental data, we then model the influence of several variables on the enrichment results and predict a large effect of nucleotide identity (higher is better) and read length (shorter is better). Lastly, we show how all relevant resistance genes are detected using adaptive sequencing on a miniature ("Flongle") flow cell, motivating its use in a clinical setting to monitor similar cases and their surroundings.

microbiology↗

Context-aware genomic surveillance reveals hidden transmission of a carbapenemase-producing Klebsiella pneumoniae

Genomic surveillance can inform effective public health responses to pathogen outbreaks. However, integration of non-local data is rarely done. We investigate two large hospital outbreaks of a carbapenemase-carrying Klebsiella pneumoniae strain in Germany and show the value of contextual data. By screening more than ten thousand genomes, 500 thousand metagenomes, and two culture collections using in silico and in vitro methods, we identify a total of 415 closely related genomes reported in 28 studies. We identify the relationship between the two outbreaks through time-dated phylogeny, including their respective origin. One of the outbreaks presents extensive hidden transmission, with descendant isolates only identified in other studies. We then leverage the genome collection from this meta-analysis to identify genes under positive selection. We thereby identify an inner membrane transporter (ynjC) with a putative role in colistin resistance. Contextual data from other sources can thus enhance local genomic surveillance at multiple levels and should be integrated by default when available.

microbiology↗