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Dive into the research topics where Erwin C. Raangs is active.

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Featured researches published by Erwin C. Raangs.


Journal of Biotechnology | 2017

Application of next generation sequencing in clinical microbiology and infection prevention

Ruud H. Deurenberg; Erik Bathoorn; Monika A. Chlebowicz; Natacha Couto; Mithila Ferdous; Silvia García-Cobos; A.M.D. Kooistra-Smid; Erwin C. Raangs; Sigrid Rosema; Alida Veloo; Kai Zhou; Alexander W. Friedrich; John W. A. Rossen

Current molecular diagnostics of human pathogens provide limited information that is often not sufficient for outbreak and transmission investigation. Next generation sequencing (NGS) determines the DNA sequence of a complete bacterial genome in a single sequence run, and from these data, information on resistance and virulence, as well as information for typing is obtained, useful for outbreak investigation. The obtained genome data can be further used for the development of an outbreak-specific screening test. In this review, a general introduction to NGS is presented, including the library preparation and the major characteristics of the most common NGS platforms, such as the MiSeq (Illumina) and the Ion PGM™ (ThermoFisher). An overview of the software used for NGS data analyses used at the medical microbiology diagnostic laboratory in the University Medical Center Groningen in The Netherlands is given. Furthermore, applications of NGS in the clinical setting are described, such as outbreak management, molecular case finding, characterization and surveillance of pathogens, rapid identification of bacteria using the 16S-23S rRNA region, taxonomy, metagenomics approaches on clinical samples, and the determination of the transmission of zoonotic micro-organisms from animals to humans. Finally, we share our vision on the use of NGS in personalised microbiology in the near future, pointing out specific requirements.


Scientific Reports | 2016

Use of whole-genome sequencing to trace, control and characterize the regional expansion of extended-spectrum β-lactamase producing ST15 Klebsiella pneumoniae

Kai Zhou; Mariëtte Lokate; Ruud H. Deurenberg; Marga Tepper; Jan P. Arends; Erwin C. Raangs; Jerome R. Lo-Ten-Foe; Hajo Grundmann; John W. A. Rossen; Alexander W. Friedrich

The study describes the transmission of a CTX-M-15-producing ST15 Klebsiella pneumoniae between patients treated in a single center and the subsequent inter-institutional spread by patient referral occurring between May 2012 and September 2013. A suspected epidemiological link between clinical K. pneumoniae isolates was supported by patient contact tracing and genomic phylogenetic analysis from May to November 2012. By May 2013, a patient treated in three institutions in two cities was involved in an expanding cluster caused by this high-risk clone (HiRiC) (local expansion, CTX-M-15 producing, and containing hypervirulence factors). A clone-specific multiplex PCR was developed for patient screening by which another patient was identified in September 2013. Genomic phylogenetic analysis including published ST15 genomes revealed a close homology with isolates previously found in the USA. Environmental contamination and lack of consistent patient screening were identified as being responsible for the clone dissemination. The investigation addresses the advantages of whole-genome sequencing in the early detection of HiRiC with a high propensity of nosocomial transmission and prolonged circulation in the regional patient population. Our study suggests the necessity for inter-institutional/regional collaboration for infection/outbreak management of K. pneumoniae HiRiCs.


Journal of Biotechnology | 2017

Reprint of "Application of next generation sequencing in clinical microbiology and infection prevention"

Ruud H. Deurenberg; Erik Bathoorn; Monika A. Chlebowicz; Natacha Couto; Mithila Ferdous; Silvia García-Cobos; A.M.D. Kooistra-Smid; Erwin C. Raangs; Sigrid Rosema; Alida Veloo; Kai Zhou; Alexander W. Friedrich; John W. A. Rossen

Current molecular diagnostics of human pathogens provide limited information that is often not sufficient for outbreak and transmission investigation. Next generation sequencing (NGS) determines the DNA sequence of a complete bacterial genome in a single sequence run, and from these data, information on resistance and virulence, as well as information for typing is obtained, useful for outbreak investigation. The obtained genome data can be further used for the development of an outbreak-specific screening test. In this review, a general introduction to NGS is presented, including the library preparation and the major characteristics of the most common NGS platforms, such as the MiSeq (Illumina) and the Ion PGM™ (ThermoFisher). An overview of the software used for NGS data analyses used at the medical microbiology diagnostic laboratory in the University Medical Center Groningen in The Netherlands is given. Furthermore, applications of NGS in the clinical setting are described, such as outbreak management, molecular case finding, characterization and surveillance of pathogens, rapid identification of bacteria using the 16S-23S rRNA region, taxonomy, metagenomics approaches on clinical samples, and the determination of the transmission of zoonotic micro-organisms from animals to humans. Finally, we share our vision on the use of NGS in personalised microbiology in the near future, pointing out specific requirements.


Scientific Reports | 2018

Critical steps in clinical shotgun metagenomics for the concomitant detection and typing of microbial pathogens

Natacha Couto; Leonard Schuele; Erwin C. Raangs; Miguel P. Machado; Catarina I. Mendes; Tiago F. Jesus; Monika A. Chlebowicz; Sigrid Rosema; Mário Ramirez; João A. Carriço; Ingo B. Autenrieth; Alexander W. Friedrich; Silke Peter; John W. A. Rossen

High throughput sequencing has been proposed as a one-stop solution for diagnostics and molecular typing directly from patient samples, allowing timely and appropriate implementation of measures for treatment, infection prevention and control. However, it is unclear how the variety of available methods impacts the end results. We applied shotgun metagenomics on diverse types of patient samples using three different methods to deplete human DNA prior to DNA extraction. Libraries were prepared and sequenced with Illumina chemistry. Data was analyzed using methods likely to be available in clinical microbiology laboratories using genomics. The results of microbial identification were compared to standard culture-based microbiological methods. On average, 75% of the reads corresponded to human DNA, being a major determinant in the analysis outcome. None of the kits was clearly superior suggesting that the initial ratio between host and microbial DNA or other sample characteristics were the major determinants of the proportion of microbial reads. Most pathogens identified by culture were also identified through metagenomics, but substantial differences were noted between the taxonomic classification tools. In two cases the high number of human reads resulted in insufficient sequencing depth of bacterial DNA for identification. In three samples, we could infer the probable multilocus sequence type of the most abundant species. The tools and databases used for taxonomic classification and antimicrobial resistance identification had a key impact on the results, recommending that efforts need to be aimed at standardization of the analysis methods if metagenomics is to be used routinely in clinical microbiology.


Microorganisms | 2018

Evaluation of an accelerated workflow for surveillance of ESBL (CTX-M)-producing Escherichia coli using amplicon-based Next-Generation Sequencing and automated analysis

Nilay Peker; John W. A. Rossen; Ruud H. Deurenberg; Paula C Langereis; Erwin C. Raangs; Jan Kluytmans; Alexander W. Friedrich; Jacobien Veenemans; Bhanu Sinha

Outbreak management of extended spectrum β-lactamase (ESBL)-producing pathogens requires rapid and accurate diagnosis. However, conventional screening is slow and labor-intensive. The vast majority of the screened samples are negative and detection of non-outbreak-related resistant micro-organisms often complicates outbreak management. In a CTX-M-15-producing Escherichia coli outbreak, 149 fecal samples and rectal eSwabs were collected by a cross-sectional survey in a Dutch nursing home. Samples were processed by routine diagnostic methods. Retrospectively, ESBL-producing bacteria and resistance genes were detected directly from eSwab medium by an accelerated workflow without prior enrichment cultures by an amplicon-based next-generation sequencing (NGS) method, and culture. A total of 27 (18.1%) samples were positive in either test. Sensitivity for CTX-M detection was 96.3% for the phenotypic method and 85.2% for the NGS method, and the specificity was 100% for both methods, as confirmed by micro-array. This resulted in a positive predictive value (PPV) of 100% for both methods, and a negative predictive value (NPV) of 99.2% and 96.8% for the phenotypic method and the NGS method, respectively. Time to result was four days and 14 h for the phenotypic method and the NGS method, respectively. In conclusion, the sensitivity without enrichment shows promising results for further use of amplicon-based NGS for screening during outbreaks.


Genome Announcements | 2018

Complete Genome Sequences of Two Methicillin-Resistant Staphylococcus haemolyticus Isolates of Multilocus Sequence Type 25, First Detected by Shotgun Metagenomics

Natacha Couto; Monika A. Chlebowicz; Erwin C. Raangs; Alexander W. Friedrich; John W. A. Rossen

ABSTRACT The emergence of nosocomial infections by multidrug-resistant Staphylococcus haemolyticus isolates has been reported in several European countries. Here, we report the first two complete genome sequences of S. haemolyticus sequence type 25 (ST25) isolates 83131A and 83131B. Both isolates were isolated from the same clinical sample and were first identified through shotgun metagenomics.


Scientific Reports | 2015

Low anti-staphylococcal IgG responses in granulomatosis with polyangiitis patients despite long-term Staphylococcus aureus exposure

Corinna Glasner; Mirjan M. van Timmeren; Tim Stobernack; Till F. Omansen; Erwin C. Raangs; John W. A. Rossen; Marcus C. de Goffau; Jan P. Arends; Greetje A. Kampinga; Denny G. A. M. Koedijk; Jolanda Neef; Girbe Buist; Mehri Tavakol; Willem J. B. van Wamel; Abraham Rutgers; Coen A. Stegeman; Cees G. M. Kallenberg; Peter Heeringa; Jan Maarten van Dijl


Journal of Periodontal Research | 2013

Evaluation of three selective media for isolation of Aggregatibacter actinomycetemcomitans

P. Rurenga; Erwin C. Raangs; Z. Singadji; G. Wekema-Mulder; Alida Veloo; van Arie Winkelhoff


Tropical Medicine & International Health | 2017

Shotgun metagenomics as a tool for the rapid diagnosis and genotyping of Dengue

Erley F. Lizarazo; Natacha Couto; Erwin C. Raangs; Maria F. Vincenti-Gonzalez; Robert Tovar; Sarah Bethencourt; Martin P. Grobusch; Thomas Jaenisch; Alexander W. Friedrich; Adriana Tami; John W. A. Rossen


Presse Medicale | 2013

High genetic diversity in nasal Staphylococcus aureus isolates from Granulomatosis with Polyangiitis (GPA) patients

Mm van Timmeren; Corinna Glasner; Tim Stobernack; Till F. Omansen; Erwin C. Raangs; John W. A. Rossen; J. P. Arends; G. A. Kampinga; W.J.B. van Wamel; Abraham Rutgers; Coen A. Stegeman; Cornelis Kallenberg; Peter Heeringa; J.M. van Dijl

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John W. A. Rossen

University Medical Center Groningen

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Alexander W. Friedrich

University Medical Center Groningen

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Monika A. Chlebowicz

University Medical Center Groningen

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Alida Veloo

University Medical Center Groningen

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Sigrid Rosema

University Medical Center Groningen

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A.M.D. Kooistra-Smid

University Medical Center Groningen

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Abraham Rutgers

University Medical Center Groningen

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