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Schrenzel, J.

Publications and source records attributed to Schrenzel, J..

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Colistin heteroresistance and the involvement of the PmrAB regulatory system in Acinetobacter baumannii

Multidrug-resistant Acinetobacter baumannii infection has recently emerged as a worldwide clinical problem and colistin is increasingly being used as last resort therapy. Despite its favorable bacterial killing, resistance and heteroresistance to colistin have been described. Mutations in the PmrAB regulatory pathway have been already associated with colistin resistance whereas the mechanisms for heteroresistance remain largely unknown. The purpose of the present study is to investigate the role of PmrAB in laboratory-selected mutants representative of global epidemic strains. During brief colistin exposure, colistin resistant and colistin heteroresistant mutants were selected in a one-step strategy. Population Analysis Profiling (PAP) was performed to confirm the suspected phenotype. Upon withdrawal of selective pressure, compensatory mutations were evaluated in another one-step strategy. A trans-complementation assay was designed to delineate the involvement of the PmrAB regulatory system using qPCR and PAP. Mutations in the PmrAB regulatory pathway were associated with colistin resistance and colistin heteroresistance as well. The transcomplementation assay provides a proof for the role played by changes in the PmrAB regulatory pathway. The level of colistin resistance is correlated to the level of expression of pmrC. The resistance phenotype was partially restored since the complemented strain became heteroresistant. This report shows the role of different mutations in the PmrAB regulatory pathway and warns on the development of colistin heteroresistance that could be present but not easily detected with routine testing.

microbiology

The intestinal microbiota predisposes to traveller’s diarrhoea and to the carriage of multidrug-resistant Enterobacteriaceae after travelling to tropical regions

The risk of acquisition of multidrug-resistant Enterobacteriaceae (MRE) and of occurrence of diarrhoea is high when travelling to tropical regions. The relationships between these phenomena and the composition of human gut microbiota have not yet been assessed. Here, we investigated the dynamics of changes of metabolically active microbiota by sequencing total RNA from faecal samples taken before and after travel to tropical regions. We found that the occurrence of diarrhoea during the travel was associated with a higher relative abundance of Prevotella copri before departure and after return. The composition of microbiota, before travel as well as at return, was not correlated with the acquisition of MRE. However, the clearance of MRE one month after return was linked to a specific pattern of bacterial species that was also found before and after return.

microbiology

Clinical metagenomics of bone and joint infections: a proof of concept study

BackgroundBone and joint infections (BJI) are severe infections that require a tailored and protracted antibiotic treatment. The diagnostic of BJI relies on the culture of surgical specimens, yet some bacteria would not grow because of extreme oxygen sensitivity or fastidious growth. Hence, metagenomic sequencing could potentially address those limitations. In this study, we assessed the performances of metagenomic sequencing of BJI samples for the identification of pathogens and the prediction of antibiotic susceptibility.\n\nMethodsA total of 179 samples were considered. The DNA was extracted with a kit aiming to decrease the amount of human DNA (Molzym), and sequenced on an Illumina HiSeq2500 in 2x250 paired-end reads. The taxonomy was obtained by MetaPhlAn2, the bacterial reads assembled with MetaSPAdes and the antibiotic resistance determinants (ARDs) identified using a database made of Resfinder+ARDs from functional metagenomic studies.\n\nResultsWe could sequence the DNA from 24 out of 179 samples. For monomicrobial samples (n=8), the presence of the pathogen was confirmed by metagenomics in all cases. For polymicrobial samples (n=16), 32/55 bacteria (58.2%) were found at the species level (41/55 [74.5%] at the genus level). Conversely, a total of 273 bacteria not found in culture were identified, 182 being possible pathogens undetected in culture and 91 contaminants. A correct antibiotic susceptibility could be inferred in 94.1% cases for monomicrobial samples and in 76.5% cases in polymicrobial samples.\n\nConclusionsWhen sufficient amounts of DNA can be extracted from samples, we found that clinical metagenomics is a potential tool to support conventional culture.

microbiology