Publications by authors named "Bogaerts B"

Genetically modified microorganisms (GMM) are frequently employed for the production of microbial fermentation products such as food enzymes. Although presence of the GMM or its recombinant DNA in the final product is not authorized, contaminations occur frequently. Insight into the contamination source of a GMM is of crucial importance to allow the competent authorities to take appropriate action.

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Background: The Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) networks 'Seq4AMR' and 'B2B2B AMR Dx' were established to promote collaboration between microbial whole genome sequencing (WGS) and antimicrobial resistance (AMR) stakeholders. A key topic discussed was the frequent variability in results obtained between different microbial WGS-related AMR gene prediction workflows. Further, comparative benchmarking studies are difficult to perform due to differences in AMR gene prediction accuracy and a lack of agreement in the naming of AMR genes (semantic conformity) for the results obtained.

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The influx of whole genome sequencing (WGS) data in the public health and clinical diagnostic sectors has created a need for data analysis methods and bioinformatics expertise, which can be a bottleneck for many laboratories. At Sciensano, the Belgian national public health institute, an intuitive and user-friendly bioinformatics tool portal was implemented using Galaxy, an open-source platform for data analysis and workflow creation. The Galaxy @Sciensano instance is available to both internal and external scientists and offers a wide range of tools provided by the community, complemented by over 50 custom tools and pipelines developed in-house.

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Article Synopsis
  • * The research identified 80 genes with presence-absence variation and focused on those related to virulence that might serve as potential antigens, narrowing it down to 28 proteins for further analysis.
  • * The study successfully identified 157 B-cell epitope-based peptides that could potentially help differentiate between the two species in serological tests, although further validation is needed.
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Infections due to antimicrobial-resistant bacteria have become a major threat to global health. Some patients may carry resistant bacteria in their gut microbiota. Specific risk factors may trigger the conversion of these carriages into infections in hospitalized patients.

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Whole-genome sequencing has become the method of choice for bacterial outbreak investigation, with most clinical and public health laboratories currently routinely using short-read Illumina sequencing. Recently, long-read Oxford Nanopore Technologies (ONT) sequencing has gained prominence and may offer advantages over short-read sequencing, particularly with the recent introduction of the R10 chemistry, which promises much lower error rates than the R9 chemistry. However, limited information is available on its performance for bacterial single-nucleotide polymorphism (SNP)-based outbreak investigation.

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Aims: Brugada syndrome (BrS) is a hereditary arrhythmic disease, associated with sudden cardiac death. To date, little is known about the psychosocial correlates and impacts associated with this disease. The aim of this study was to assess a set of patient-reported psychosocial outcomes, to better profile these patients, and to propose a tailored psychosocial care.

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  • Methicillin-resistant Staphylococcus aureus (MRSA) poses a significant public health risk, affecting patient health and increasing healthcare costs, prompting a study in six public hospitals in Benin.
  • The research involved screening patients and healthcare workers for MRSA, confirming cases through advanced microbiological methods, and utilizing whole-genome sequencing to analyze 27 high-quality MRSA isolates found among the samples collected.
  • Findings revealed various strains associated with antimicrobial resistance and identified several virulence genes, emphasizing the necessity for effective strategies to reduce MRSA transmission within hospital settings.
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Introduction: Shiga toxin-producing (STEC) is a gastrointestinal pathogen causing foodborne outbreaks. Whole Genome Sequencing (WGS) in STEC surveillance holds promise in outbreak prevention and confinement, in broadening STEC epidemiology and in contributing to risk assessment and source attribution. However, despite international recommendations, WGS is often restricted to assist outbreak investigation and is not yet fully implemented in food safety surveillance across all European countries, in contrast to for example in the United States.

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is a spore-forming bacterium that occurs as a contaminant in food and feed, occasionally resulting in food poisoning through the production of various toxins. In this study, we retrospectively characterized viable () isolates originating from commercial vitamin B feed and food additives collected between 2016 and 2022 by the Belgian Federal Agency for the Safety of the Food Chain from products sold on the Belgian market. In total, 75 collected product samples were cultured on a general medium and, in case of bacterial growth, two isolates per product sample were collected and characterized using whole-genome sequencing (WGS) and subsequently characterized in terms of sequence type (ST), virulence gene profile, antimicrobial resistance (AMR) gene profile, plasmid content, and phylogenomic relationships.

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Genetically modified microorganisms (GMM) are frequently employed for manufacturing microbial fermentation products such as food enzymes or vitamins. Although the fermentation product is required to be pure, GMM contaminations have repeatedly been reported in numerous commercial microbial fermentation produce types, leading to several rapid alerts at the European level. The aim of this study was to investigate the added value of shotgun metagenomic high-throughput sequencing to confirm and extend the results of classical analysis methods for the genomic characterization of unauthorized GMM.

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Article Synopsis
  • - Shiga toxin-producing E. coli (STEC) of the O26 serogroup is a major cause of Hemolytic Uremic Syndrome (HUS) in children, particularly in Europe, with specific clones like Sequence Type (ST) 29 gaining prevalence since the 1990s.
  • - A study analyzing 144 O26 STEC strains from Italy (1989-2020) found that most belonged to ST21 or ST29 and revealed various virulence and antimicrobial resistance genes distributed among these strains.
  • - Hierarchical Clustering identified seven genetic clusters based on accessory virulence and plasmid features, showing that certain ST29 strains are closely related, demonstrating the genetic stability and diversity of these O
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  • The rise of extended-spectrum beta-lactamase (ESBL) producing bacteria poses a significant global health threat, particularly linked to high rates of surgical site infections in developing regions with limited antibiotic options.
  • This study utilized whole-genome sequencing (WGS) on 19 ESBL-positive bacterial isolates from patients in Benin to analyze their antimicrobial resistance and genetic relationships, revealing 13 different sequence types.
  • The findings highlighted a substantial presence of ESBL resistance genes and other resistance factors, emphasizing the utility of WGS for understanding multidrug-resistant bacteria in under-researched environments.
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  • Unauthorized genetically modified (GM) microorganisms have been found in various commercial microbial fermentation products in Europe, particularly related to a GM strain used for synthesizing a food enzyme.
  • This study utilized advanced whole-genome sequencing (WGS) techniques to analyze GM isolates, revealing they contain a recombinant plasmid that carries antimicrobial resistance genes.
  • The findings suggest that these GM isolates likely share a common origin, emphasizing the importance of hybrid WGS and SNP-based analysis for tracking and characterizing GM microorganisms more accurately.
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Through staphylococcal enterotoxin (SE) production, is a common cause of food poisoning. Detection of staphylococcal food poisoning (SFP) is mostly performed using immunoassays, which, however, only detect five of 27 SEs described to date. Polymerase chain reactions are, therefore, frequently used in complement to identify a bigger arsenal of SE at the gene level () but are labor-intensive.

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Objectives: Since January 2019, the Belgian National Reference Center for Mycobacteria (NRC) has switched from conventional typing to prospective whole-genome sequencing (WGS) of all submitted complex (MTB) isolates. The ISO17025 validated procedure starts with semi-automated extraction and purification of gDNA directly from the submitted MGIT tubes, without preceding subculturing. All samples are then sequenced on an Illumina MiSeq sequencer and analyzed using an in-house developed and validated bioinformatics workflow to determine the species and antimicrobial resistance.

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Whole genome sequencing (WGS) has become the reference standard for bacterial outbreak investigation and pathogen typing, providing a resolution unattainable with conventional molecular methods. Data generated with Illumina sequencers can however only be analysed after the sequencing run has finished, thereby losing valuable time during emergency situations. We evaluated both the effect of decreasing overall run time, and also a protocol to transfer and convert intermediary files generated by Illumina sequencers enabling real-time data analysis for multiple samples part of the same ongoing sequencing run, as soon as the forward reads have been sequenced.

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  • Linezolid is an important antibiotic for treating some serious infections, but it’s not approved for use in food animals.
  • Researchers in Belgium checked samples from animals to see how many had bacteria that were resistant to linezolid, especially in pigs and veal calves.
  • They found that these resistant bacteria are common and can be linked to human infections, so they suggest better monitoring and smart use of antibiotics to keep people safe.
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  • - Seasonal influenza problems lead to serious health impacts, making effective surveillance vital for vaccine development, but the virus evolves quickly, complicating vaccine effectiveness.
  • - Traditional methods rely on analyzing the HA gene, but new technologies, like whole-genome sequencing (WGS), and bioinformatics tools can enhance surveillance and classification of influenza strains.
  • - A study of Belgian influenza samples showed that using a whole-genome approach significantly improved classification accuracy, identified reassortants, and highlighted important patient associations that wouldn’t be apparent with just HA analysis.
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Shigellosis is an acute enteric infection caused mainly by the species and . Since surveillance of these pathogens indicated an increase in ciprofloxacin-resistant samples collected in Belgium between 2013 and 2018, a subset of 148 samples was analyzed with whole genome sequencing (WGS) to investigate their dispersion and underlying genomic features associated with ciprofloxacin resistance. A comparison between observed phenotypes and WGS-based resistance prediction to ciprofloxacin revealed perfect correspondence for all samples.

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The use of whole-genome sequencing (WGS) for routine typing of bacterial isolates has increased substantially in recent years. For (MTB), in particular, WGS has the benefit of drastically reducing the time required to generate results compared to most conventional phenotypic methods. Consequently, a multitude of solutions for analyzing WGS MTB data have been developed, but their successful integration in clinical and national reference laboratories is hindered by the requirement for their validation, for which a consensus framework is still largely absent.

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Article Synopsis
  • Whole genome sequencing (WGS) is a super cool method that helps scientists understand bacteria really well, down to tiny details of their DNA!
  • There are some problems, like different labs not using the same methods, which makes it hard for them to share results easily.
  • A special testing method was created for WGS to check the performance of analyzing dangerous bacteria called STEC, showing that it works great and is available online for others to use!
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Background: Carbapenem-resistant Acinetobacter baumannii is considered a top priority pathogen by the World Health Organization for combatting increasing antibiotic resistance and development of new drugs. Since it was originally reported in Klebsiella pneumoniae in 2009, the quick spread of the bla gene encoding a New-Delhi metallo-beta-lactamase-1 (NDM-1) is increasingly recognized as a serious threat. This gene is usually carried by large plasmids and has already been documented in diverse bacterial species, including A.

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Whole genome sequencing (WGS) has proven to be the ultimate tool for bacterial isolate characterization and relatedness determination. However, standardized and harmonized workflows, e.g.

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Gradually, conventional methods for foodborne pathogen typing are replaced by whole genome sequencing (WGS). Despite studies describing the overall benefits, National Reference Laboratories of smaller countries often show slower uptake of WGS, mainly because of significant investments required to generate and analyze data of a limited amount of samples. To facilitate this process and incite policy makers to support its implementation, a Shiga toxin-producing (STEC) O157:H7 (+, +, +) outbreak (2012) and a STEC O157:H7 (+, +) outbreak (2013) were retrospectively analyzed using WGS and compared with their conventional investigations.

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