Publications by authors named "Wisselink G"

Many members of the genus are clinically relevant opportunistic pathogens that warrant accurate and rapid identification for targeted therapy. The aim of this study was to develop a careful assignment scheme for staphylococcal species based on next-generation sequencing (NGS) of the 16S-23S rRNA region. All reference staphylococcal strains were identified at the species level using Sanger sequencing of the 16S rRNA, and genes and NGS of the 16S-23S rRNA region.

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Background: Surgical site infection (SSI) remains a hazardous complication after vascular surgery. In this pilot study we investigated the inguinal microbiome in skin biopsies using histology and 16S-23S rDNA Next Generation Sequencing (NGS). Our hypothesis was that causative microorganisms of SSI are present in the inguinal microbiome.

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Rapid and reliable identification of bacterial pathogens directly from patient samples is required for optimizing antimicrobial therapy. Although Sanger sequencing of the 16S ribosomal RNA (rRNA) gene is used as a molecular method, species identification and discrimination is not always achievable for bacteria as their 16S rRNA genes have sometimes high sequence homology. Recently, next generation sequencing (NGS) of the 16S-23S rRNA encoding region has been proposed for reliable identification of pathogens directly from patient samples.

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The aim of this study was to develop an easy-to-use culture-free diagnostic method based on next generation sequencing (NGS) of PCR amplification products encompassing whole 16S-23S rRNA region to improve the resolution of bacterial species identification. To determine the resolution of the new method 67 isolates were subjected to four identification methods: Sanger sequencing of the 16S rRNA gene; NGS of the 16S-23S rRNA region using MiSeq (Illumina) sequencer; Microflex MS (Bruker) and VITEK MS (bioMérieux). To evaluate the performance of this new method when applied directly on clinical samples, we conducted a proof of principle study with 60 urine samples from patients suspected of urinary tract infections (UTIs), 23 BacT/ALERT (bioMérieux) positive blood culture bottles and 21 clinical orthopedic samples.

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Background: Encephalitis caused by a free-living amoeba is relatively rare and usually fatal. This is because the diagnosis is often made late and treatment is difficult.

Case Description: A 41-year-old patient with a previous history including kidney transplant was admitted with clinical symptoms of encephalitis.

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Shiga toxin-producing Escherichia coli (STEC) is an enteropathogen of public health concern because of its ability to cause serious illness and outbreaks. In this prospective study, a diagnostic screening algorithm to categorize STEC infections into risk groups was evaluated. The algorithm consists of prescreening stool specimens with real-time PCR (qPCR) for the presence of stx genes.

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Traditionally, laboratory detection and identification of dermatophytes consists of culture and microscopy which yields results within approximately 2-6 weeks. In 2007 our medical microbiological diagnostic laboratory implemented a molecular method for the detection of dermatophytes. A real-time PCR assay was developed which simultaneously detects and identifies the most prevalent dermatophytes directly in nail, skin and hair samples and has a turnaround time of less than two days.

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In this study we compared the QIAsymphony Sample Preparation and Assay Setup modules (Qiagen), which provide automated nucleic acid extraction and PCR setup, to the NucliSens easyMAG (bioMérieux) and CAS-1200 liquid handling station (Corbett) for a molecular screening approach of enteric pathogens in fecal samples using multiplex real-time PCR. The relative DNA recovery of both platforms, within- and between-run reproducibility and a prospective study, including 510 clinical fecal samples, were performed. The results demonstrated that the QIAsymphony Sample Preparation and Assay Setup modules were highly reproducible and achieve equal performance, quantitative and qualitative, when compared with the NucliSens easyMAG and CAS-1200 systems for the molecular screening analysis of enteric pathogens in fecal samples.

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A shortened DNA extraction protocol for the QIAsymphony SP was evaluated by quantitative and qualitative comparison of real-time PCR results of 150 co-extracted stool samples. The average ∆Cycle threshold value for positive pathogenic targets was 0.28 Ct.

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