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Seth-Smith, H.

Publications and source records attributed to Seth-Smith, H..

2 recordsLinked to original sources

pH-Dependent Evolution of Delafloxacin and Ciprofloxacin Resistance in Pseudomonas aeruginosa from cystic fibrosis (CF) and non-CF-patients

Delafloxacin (DLX) is a novel fluoroquinolone with enhanced antibacterial activity in acidic environments, a property that may be advantageous for treating Pseudomonas aeruginosa infections in cystic fibrosis (CF), where airway surface liquid pH is typically reduced (pH 5.5-6.7). However, the propensity for resistance development and the underlying mechanisms in P. aeruginosa remain incompletely defined. We conducted serial passage experiments on six clinical P. aeruginosa isolates (three CF-derived and three non-CF-derived) exposed to sub-inhibitory concentrations of DLX or ciprofloxacin (CIP) at pH 6.0 and 7.3 over nine days. Susceptibility was assessed by broth microdilution (BMD), and resistance mechanisms were characterized by whole-genome sequencing (WGS), efflux pump expression analysis (qRT-PCR), and functional validation using CRISPR/Cas9-mediated genome editing and complementation assays. DLX minimal inhibitory concentrations (MICs) rose only 10.1- to 28.5-fold over 9 days, compared with 77.6- to 97.8-fold for CIP, indicating a substantially higher genetic barrier to resistance. This barrier was most pronounced under acidic conditions: only 38.9% of DLX-passaged samples crossed the resistance breakpoint, compared with 94.4% at neutral pH, whereas CIP resistance reached 100% regardless of pH. Cross-resistance was asymmetric: exposure to DLX consistently selected for CIP cross-resistance (97.2% of samples), whereas exposure to CIP induced DLX cross-resistance efficiently at neutral pH but only partially under acidic conditions. A previously undescribed gyrA mutation (p.Ala51Val) conferred a 4-fold increase in DLX MIC when introduced by CRISPR/Cas9, and upregulation of the MexEF-OprN efflux pump, reversible by mexS complementation, emerged as a prominent resistance mechanism. Overall, DLX exhibited a markedly higher genetic barrier to resistance than CIP in P. aeruginosa, particularly under the acidic conditions characteristic of the CF airway. However, its use may co-select for CIP cross-resistance through efflux upregulation, underscoring the need for careful stewardship in CF.

microbiology↗

The challenge of sequencing Chlamydia trachomatis and other bacterial STI genomes directly from clinical swabs: the optimum solution

Rates of bacterial sexually transmitted infections (STIs) are rising and accessing their genomes provides information on strain evolution, circulating strains, and encoded antimicrobial resistance (AMR). Notable pathogens include Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG) and Treponema pallidum (TP), globally the most common bacterial STIs. Mycoplasma genitalium (MG) is also a bacterial STI which is of concern due to AMR development. These bacteria are also fastidious or hard to culture, and standard sampling methods lyse bacteria, completely preventing pathogen culture. Clinical samples contain large amounts of human and other microbiota DNA. These factors hinder the sequencing of bacterial STI genomes. We aimed to overcome these challenges in obtaining whole genome sequences, and evaluated four approaches using clinical samples from Argentina (39), Switzerland (14), and cultured samples from Finland (2) and Argentina (1). First, direct genome sequencing from swab samples was attempted through Illumina deep metagenomic sequencing, showing extremely low levels of target DNA, with under 0.01% of the sequenced reads being from the target pathogens. Second, host DNA depletion followed by Illumina sequencing was not found to produce enrichment in these very low load samples. Third, we tried a selective long-read approach with the new adaptive sequencing from Oxford Nanopore Technologies (ONT), which also did not improve enrichment sufficiently to provide genomic information. Finally, target enrichment using a novel pan-genome set of custom SureSelect probes targeting CT, NG, TP, and MG followed by Illumina sequencing was successful. We produced whole genomes from 64% of CT positive samples; from 36% of NG positive samples, and from 60% of TP positive samples. Additionally, we enriched MG DNA to gain partial genomes from 60% of samples. This is the first publication to date to utilize a pan-genome STI panel in target enrichment. Target enrichment, though costly, proved essential for obtaining genomic data from clinical samples. This data can be utilized to examine circulating strains, genotypic resistance, and guide public health strategies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=126 SRC="FIGDIR/small/624631v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@578aeborg.highwire.dtl.DTLVardef@16185f9org.highwire.dtl.DTLVardef@1a2ae87org.highwire.dtl.DTLVardef@1703fa7_HPS_FORMAT_FIGEXP M_FIG C_FIG Impact statementGenome data on circulating sexually transmitted infections (STIs) is important to better understand transmission networks, antimicrobial resistance and to guide treatment decisions. For many bacterial STIs, this information is difficult to obtain, as the bacteria are fastidious, in some cases intracellular, and often recalcitrant to culture. We have developed and tested a target enrichment STI panel of baits to capture whole genomes of Chlamydia trachomatis, Neisseria gonorrhoeae, Treponema pallidum, and Mycoplasma genitalium with approximately 50% success in genome sequencing for the first three pathogens. We compare this against other sequencing and enrichment methods, which did not provide sufficient data for genome analysis. This panel approach shows potential for clinical samples carrying these pathogens and can potentially also be developed for further pathogen groups. Data summaryAll illumina sequence data, with human read data removed using Hostile (1) and KrakenTools (https://github.com/jenniferlu717/KrakenTools), is deposited with the European Nucleotide Archive (ENA) under project number PRJEB72167.

microbiology↗