Biology subjects

Schrenzel, J.

Publications and source records attributed to Schrenzel, J..

6 recordsLinked to original sources

bioRxiv2020

Clinical metagenomics bioinformatics pipeline for the identification of hospital-acquired pneumonia pathogens antibiotic resistance genes from bronchoalveolar lavage samples

BackgroundShortening the time-to-result for pathogen detection and identification and antibiotic susceptibility testing for patients with Hospital-Acquired and Ventilator-Associated pneumonia (HAP-VAP) is of great interest. For this purpose, clinical metagenomics is a promising non-hypothesis driven alternative to traditional culture-based solutions: when mature, it would allow direct sequencing all microbial genomes present in a BronchoAlveolar Lavage (BAL) sample with the purpose of simultaneously identifying pathogens and Antibiotic Resistance Genes (ARG). In this study, we describe a new bioinformatics method to detect pathogens and their ARG with good accuracy, both in mono- and polymicrobial samples. MethodsThe standard approach (hereafter called TBo), that consists in taxonomic binning of metagenomic reads followed by an assembly step, suffers from lack of sensitivity for ARG detection. Thus, we propose a new bioinformatics approach (called TBwDM) with both models and databases optimized for HAP-VAP, that performs reads mapping against ARG reference database in parallel to taxonomic binning, and joint reads assembly. ResultsIn in-silico simulated monomicrobial samples, the recall for ARG detection increased from 51% with TBo to 97.3% with TBwDM; in simulated polymicrobial infections, it increased from 41.8% to 82%. In real sequenced BAL samples (mono and polymicrobial), detected pathogens were also confirmed by traditional culture approaches. Moreover, both recall and precision for ARG detection were higher with TBwDM than with TBo (35 points difference for recall, and 7 points difference for precision). ConclusionsWe present a new bioinformatics pipeline to identify pathogens and ARG in BAL samples from patients with HAP-VAP, with higher sensitivity for ARG recovery than standard approaches and the ability to link ARG to their host pathogens.

bioinformatics↗

bioRxiv2019

RpiRc regulates RsbU to modulate eDNA-dependent biofilm formation and in vivo virulence of Staphylococcus aureus in a mouse model of catheter infection

Staphylococcus aureus is a major human pathogen. Despite high incidence and morbidity, molecular mechanisms occurring during infection remain largely unknown. Under defined conditions, biofilm formation contributes to the severity of S. aureus related infections. Extracellular DNA (eDNA), a component of biofilm matrix released from apoptotic bacteria, is involved in biofilm structure and stability. In many bacterial biofilms, eDNA originates from cell lysis although eDNA can also be actively secreted or exported by bacterial membrane vesicles. By screening the Nebraska transposon library, we identified rpiRc as a biofilm regulator involved in eDNA regulation. RpiRc is a transcription factor from the pentose phosphate pathway (PPP) whose product is a polysaccharide intercellular adhesin (PIA) precursor. However, rpiRc mutant strain showed neither susceptibility to DispersinB(R) (a commercially available enzyme disrupting PIA biofilms) nor alteration of ica transcription (the operon regulating PIA production). Decreased biofilm formation was linked to Sln, an extracellular compound degrading eDNA in an autolysis independent pathway. Biofilm susceptibility to antibiotics in wt and mutant strains was tested using a similar protocol as the Calgary biofilm device. Involvement of RpiRc in S. aureus virulence was assessed ex vivo by internalization experiments into HEK293 cells and in vivo in a mouse model of subcutaneous catheter infection. While minimum inhibitory concentrations (MICs) of planktonic cells were not affected in the mutant strain, we observed increased biofilm susceptibility to almost all tested antibiotics, regardless of their mode of action. More importantly, the rpiRc mutant showed reduced virulence in both ex vivo and in vivo experiments related to decreased fnbpA-B transcription and eDNA production. RpiRc is an important regulator involved in eDNA degradation inside the matrix of mature PIA independent biofilms. These results illustrate that RpiRc contributes to increased antibiotic tolerance in mature bacterial biofilm and also to S. aureus cell adhesion and virulence during subcutaneous infection.\n\nAuthor summaryBiofilm formation contributes to the severity of Staphylococcus aureus related infections. Biofilm matrix is mainly composed by polysaccharide intercellular adhesion (PIA), proteins and extracellular DNA (eDNA). By screening a mutant library of S. aureus, RpiRc was identified as a new regulator of eDNA dependent biofilm formation. How RpiRc regulates biofilm and its role in S. aureus virulence was studied in four different S. aureus strains. Deletion of RpiRc resulted in a pronounced decreased eDNA dependent biofilm formation, but not PIA dependent biofilm formation. Decreased biofilm formation was not related to increased autolysis, but was linked to extracellular compounds found in the supernatant of mutant biofilms. Sln was identified as one of this compound. RpiRc deletion also decreased biofilm recalcitrance (resistance) to selected antibiotics. Involvement of RpiRc in S. aureus pathogenesis was investigated ex vivo by internalization into HEK293 cells and in vivo in a mouse model of catheter infection. RpiRc deletion resulted in decreased virulence related to decreased expression of surface proteins like the fibronectin binding proteins A and B (FnbpA-B). These results illustrate that RpiRc contributes to increased antibiotic tolerance in mature bacterial biofilm and also to S. aureus cell adhesion and virulence during subcutaneous infection.

microbiology↗

bioRxiv2018

From genotype to antibiotic susceptibility phenotype in Enterobacteriaceae: a clinical perspective

Predicting the antibiotic susceptibility phenotype from genomic data is challenging, especially for some specific antibiotics in Enterobacteriaceae. Here we aimed to assess the performance of whole genomic sequencing (WGS) for predicting the antibiotic susceptibility in various Enterobacteriaceae species using the detection of antibiotic resistance genes (ARGs), specific mutations and a knowledge-based decision algorithm. We sequenced (Illumina MiSeq 2x250b) 187 clinical isolates from species possessing (n=98) or not (n=89) an intrinsic AmpC-type cephalosporinase. Antibiotic susceptibility was performed by the disc diffusion method. Reads were assembled by A5-miseq and ARGs were identified from the ResFinder database using Diamond. Mutations on GyrA and ParC topoisomerases were studied. We assessed the prediction rates for amoxicillin, co-amoxiclav, piperacillin, piperacillin-tazobactam, ceftazidime, cefepime, meropenem, amikacin, gentamicin and fluoroquinolones. A total of 1,870 isolate/antibiotic combinations were considered. In 295 cases (15.8%) no attempt of prediction was made. Among the 1,575 attempts, 1,537 (97.6%) were correct (1,011 for predicting susceptibility and 526 for predicting resistance), 15 (0.9%) were major errors (MEs) and 23 (1.5%) were very major errors (VMEs). The concordance rates were similar between non-AmpC and AmpC-producing Enterobacteriaceae (907/935 [97.0%] vs 630/640 [98.4%], Chi2 test p=0.07), but more VMEs were observed in non-AmpC producing strains than in those producing an AmpC (20/935 [2.1%] vs 3/640 [0.5%], Chi2 test p=0.007). The majority of VMEs were putatively due to the overexpression of chromosomal genes. In conclusion, the inference of antibiotic susceptibility from genomic data showed good performances for non-AmpC and AmpC-producing Enterobacteriaceae species.

microbiology↗

bioRxiv2018

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↗

bioRxiv2018

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↗

bioRxiv2016

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↗