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Featured researches published by Bart Ferwerda.


Proceedings of the National Academy of Sciences of the United States of America | 2016

Functional polymorphisms of macrophage migration inhibitory factor as predictors of morbidity and mortality of pneumococcal meningitis

Athina Savva; Matthijs C. Brouwer; Thierry Roger; Mercedes Valls Serón; Didier Le Roy; Bart Ferwerda; Arie van der Ende; Pierre-Yves Bochud; Diederik van de Beek; Thierry Calandra

Significance Pneumococcal meningitis, the most frequent cause of bacterial meningitis in adults, is associated with substantial morbidity and mortality. In a prospective, nationwide cohort of patients with pneumococcal meningitis, macrophage migration inhibitory factor (MIF), a proinflammatory mediator, was identified as a previously unidentified genetic marker of patient’s outcome. High-expression MIF alleles were associated with disease severity and death, a finding consistent with the harmful consequences of robust proinflammatory cytokine responses on brain edema and neuronal damage in the course of bacterial meningitis. These results provide strong evidence that functional MIF polymorphisms are genetic predictors of morbidity and mortality of pneumococcal meningitis and suggest that MIF is a potential target for immune-modulating adjunctive therapies. Pneumococcal meningitis is the most frequent and critical type of bacterial meningitis. Because cytokines play an important role in the pathogenesis of bacterial meningitis, we examined whether functional polymorphisms of the proinflammatory cytokine macrophage migration inhibitory factor (MIF) were associated with morbidity and mortality of pneumococcal meningitis. Two functional MIF promoter polymorphisms, a microsatellite (−794 CATT5–8; rs5844572) and a single-nucleotide polymorphism (−173 G/C; rs755622) were genotyped in a prospective, nationwide cohort of 405 patients with pneumococcal meningitis and in 329 controls matched for age, gender, and ethnicity. Carriages of the CATT7 and −173 C high-expression MIF alleles were associated with unfavorable outcome (P = 0.005 and 0.003) and death (P = 0.03 and 0.01). In a multivariate logistic regression model, shock [odds ratio (OR) 26.0, P = 0.02] and carriage of the CATT7 allele (OR 5.12, P = 0.04) were the main predictors of mortality. MIF levels in the cerebrospinal fluid were associated with systemic complications and death (P = 0.0002). Streptococcus pneumoniae strongly up-regulated MIF production in whole blood and transcription activity of high-expression MIF promoter Luciferase reporter constructs in THP-1 monocytes. Consistent with these findings, treatment with anti-MIF immunoglogulin G (IgG) antibodies reduced bacterial loads and improved survival in a mouse model of pneumococcal pneumonia and sepsis. The present study provides strong evidence that carriage of high-expression MIF alleles is a genetic marker of morbidity and mortality of pneumococcal meningitis and also suggests a potential role for MIF as a target of immune-modulating adjunctive therapy.


Clinical Microbiology and Infection | 2017

Benzalkonium tolerance genes and outcome in Listeria monocytogenes meningitis

P.H.C. Kremer; John A. Lees; Merel M. Koopmans; Bart Ferwerda; A.W.M. Arends; Monique Feller; Kim Schipper; M. Valls Seron; A. van der Ende; M.C. Brouwer; D. van de Beek; Stephen D. Bentley

Objectives Listeria monocytogenes is a food-borne pathogen that can cause meningitis. The listerial genotype ST6 has been linked to increasing rates of unfavourable outcome over time. We investigated listerial genetic variation and the relation with clinical outcome in meningitis. Methods We sequenced 96 isolates from adults with listerial meningitis included in two prospective nationwide cohort studies by whole genome sequencing, and evaluated associations between bacterial genetic variation and clinical outcome. We validated these results by screening listerial genotypes of 445 cerebrospinal fluid and blood isolates from patients over a 30-year period from the Dutch national surveillance cohort. Results We identified a bacteriophage, phiLMST6 co-occurring with a novel plasmid, pLMST6, in ST6 isolates to be associated with unfavourable outcome in patients (p 2.83e-05). The plasmid carries a benzalkonium chloride tolerance gene, emrC, conferring decreased susceptibility to disinfectants used in the food-processing industry. Isolates harbouring emrC were growth inhibited at higher levels of benzalkonium chloride (median 60 mg/L versus 15 mg/L; p <0.001), and had higher MICs for amoxicillin and gentamicin compared with isolates without emrC (both p <0.001). Transformation of pLMST6 into naive strains led to benzalkonium chloride tolerance and higher MICs for gentamicin. Conclusions These results show that a novel plasmid, carrying the efflux transporter emrC, is associated with increased incidence of ST6 listerial meningitis in the Netherlands. Suggesting increased disease severity, our findings warrant consideration of disinfectants used in the food-processing industry that select for resistance mechanisms and may, inadvertently, lead to increased risk of poor disease outcome.


Microbial Genomics | 2017

Large scale genomic analysis shows no evidence for pathogen adaptation between the blood and cerebrospinal fluid niches during bacterial meningitis

John A. Lees; Philip Hc Kremer; Ana Sousa Manso; Nicholas J. Croucher; Bart Ferwerda; Mercedes Valls Serón; Marco R. Oggioni; Julian Parkhill; Matthijs C. Brouwer; Arie van der Ende; Diederik van de Beek; Stephen D. Bentley

Recent studies have provided evidence for rapid pathogen genome diversification, some of which could potentially affect the course of disease. We have previously described such variation seen between isolates infecting the blood and cerebrospinal fluid (CSF) of a single patient during a case of bacterial meningitis. Here, we performed whole-genome sequencing of paired isolates from the blood and CSF of 869 meningitis patients to determine whether such variation frequently occurs between these two niches in cases of bacterial meningitis. Using a combination of reference-free variant calling approaches, we show that no genetic adaptation occurs in either invaded niche during bacterial meningitis for two major pathogen species, Streptococcus pneumoniae and Neisseria meningitidis. This study therefore shows that the bacteria capable of causing meningitis are already able to do this upon entering the blood, and no further sequence change is necessary to cross the blood–brain barrier. Our findings place the focus back on bacterial evolution between nasopharyngeal carriage and invasion, or diversity of the host, as likely mechanisms for determining invasiveness.


EBioMedicine | 2016

Variation of 46 Innate Immune Genes Evaluated for their Contribution in Pneumococcal Meningitis Susceptibility and Outcome

Bart Ferwerda; Mercedes Valls Serón; Aldo Jongejan; Aeilko H. Zwinderman; Madelijn Geldhoff; Arie van der Ende; Frank Baas; Matthijs C. Brouwer; Diederik van de Beek

Pneumococcal meningitis is the most common and severe form of bacterial meningitis. Early recognition of the pathogen and subsequent innate immune response play a vital role in disease susceptibility and outcome. Genetic variations in innate immune genes can alter the immune response and influence susceptibility and outcome of meningitis disease. Here we conducted a sequencing study of coding regions from 46 innate immune genes in 435 pneumococcal meningitis patients and 416 controls, to determine the role of genetic variation on pneumococcal meningitis susceptibility and disease outcome. Strongest signals for susceptibility were rs56078309 CXCL1 (p = 4.8e − 04) and rs2008521 in CARD8 (p = 6.1e − 04). For meningitis outcome the rs2067085 in NOD2 (p = 5.1e − 04) and rs4251552 of IRAK4 were the strongest associations with unfavorable outcome (p = 6.7e − 04). Haplotype analysis showed a haplotype block, determined by IRAK4 rs4251552, significantly associated with unfavorable outcome (p = 0.004). Cytokine measurements from cerebrospinal fluid showed that with the IRAK4 rs4251552 G risk allele had higher levels of IL-6 compared to individuals with A/A genotype (p = 0.04). We show that genetic variation within exons and flanking regions of 46 innate immunity genes does not yield significant association with pneumococcal meningitis. The strongest identified signal IRAK4 does imply a potential role of genetic variation in pneumococcal meningitis.


Journal of Neuroinflammation | 2017

Mannose-binding lectin-associated serine protease 2 (MASP-2) contributes to poor disease outcome in humans and mice with pneumococcal meningitis

E. Soemirien Kasanmoentalib; Mercedes Valls Serón; Bart Ferwerda; Michael W. T. Tanck; Aeilko H. Zwinderman; Frank Baas; Arie van der Ende; Matthijs C. Brouwer; Diederik van de Beek

BackgroundPneumococcal meningitis is the most common and severe form of bacterial meningitis. Fatality rates are substantial, and long-term sequelae develop in about half of survivors. Disease outcome has been related to the severity of the pro-inflammatory response in the subarachnoid space. The complement system, which mediates key inflammatory processes, has been implicated as a modulator of pneumococcal meningitis disease severity in animal studies.MethodsWe investigated mannose-binding lectin-associated serine protease (MASP-2) levels in cerebrospinal fluid (CSF) samples derived from the diagnostic lumbar puncture, which was available for 307 of 792 pneumococcal meningitis episodes included in our prospective nationwide cohort study (39%), and the association between these levels and clinical outcome. Subsequently, we studied the role of MASP-2 in our experimental pneumococcal meningitis mouse model using Masp2−/− mice and evaluated the potential of adjuvant treatment with MASP-2-specific monoclonal antibodies in wild-type (WT) mice.ResultsMASP-2 levels in cerebrospinal fluid of patients with bacterial meningitis were correlated with poor functional outcome. Consistent with these human data, Masp2-deficient mice with pneumococcal meningitis had lower cytokine levels and increased survival compared to WT mice. Adjuvant treatment with MASP-2-specific monoclonal antibodies led to reduced complement activation and decreased disease severity.ConclusionsMASP-2 contributes to poor disease outcome in human and mice with pneumococcal meningitis. MASP-2-specific monoclonal antibodies can be used to attenuate the inflammatory response in pneumococcal meningitis.


Scientific Reports | 2016

Exome Array Analysis of Susceptibility to Pneumococcal Meningitis

Anne T. Kloek; Jessica van Setten; Arie van der Ende; Michiel L. Bots; Folkert W. Asselbergs; Mercedes Valls Serón; Matthijs C. Brouwer; Diederik van de Beek; Bart Ferwerda

Host genetic variability may contribute to susceptibility of bacterial meningitis, but which genes contribute to the susceptibility to this complex disease remains undefined. We performed a genetic association study in 469 community-acquired pneumococcal meningitis cases and 2072 population-based controls from the Utrecht Health Project in order to find genetic variants associated with pneumococcal meningitis susceptibility. A HumanExome BeadChip was used to genotype 102,097 SNPs in the collected DNA samples. Associations were tested with the Fisher exact test. None of the genetic variants tested reached Bonferroni corrected significance (p-value <5 × 10−7). Our strongest signals associated with susceptibility to pneumococcal meningitis were rs139064549 on chromosome 1 in the COL11A1 gene (p = 1.51 × 10−6; G allele OR 3.21 [95% CI 2.05–5.02]) and rs9309464 in the EXOC6B gene on chromosome 2 (p = 6.01 × 10−5; G allele OR 0.66 [95% CI 0.54–0.81]). The sequence kernel association test (SKAT) tests for associations between multiple variants in a gene region and pneumococcal meningitis susceptibility yielded one significant associated gene namely COL11A1 (p = 1.03 × 10−7). Replication studies are needed to validate these results. If replicated, the functionality of these genetic variations should be further studied to identify by which means they influence the pathophysiology of pneumococcal meningitis.


Open Biology | 2017

Sequencing of the variable region of rpsB to discriminate between Streptococcus pneumoniae and other streptococcal species

Anne L. Wyllie; Yvonne Pannekoek; Sandra Bovenkerk; Jody van Engelsdorp Gastelaars; Bart Ferwerda; Diederik van de Beek; Elisabeth A. M. Sanders; Krzysztof Trzciński; Arie van der Ende

The vast majority of streptococci colonizing the human upper respiratory tract are commensals, only sporadically implicated in disease. Of these, the most pathogenic is Mitis group member, Streptococcus pneumoniae. Phenotypic and genetic similarities between streptococci can cause difficulties in species identification. Using ribosomal S2-gene sequences extracted from whole-genome sequences published from 501 streptococci, we developed a method to identify streptococcal species. We validated this method on non-pneumococcal isolates cultured from cases of severe streptococcal disease (n = 101) and from carriage (n = 103), and on non-typeable pneumococci from asymptomatic individuals (n = 17) and on whole-genome sequences of 1157 pneumococcal isolates from meningitis in the Netherlands. Following this, we tested 221 streptococcal isolates in molecular assays originally assumed specific for S. pneumoniae, targeting cpsA, lytA, piaB, ply, Spn9802, zmpC and capsule-type-specific genes. Cluster analysis of S2-sequences showed grouping according to species in line with published phylogenies of streptococcal core genomes. S2-typing convincingly distinguished pneumococci from non-pneumococcal species (99.2% sensitivity, 100% specificity). Molecular assays targeting regions of lytA and piaB were 100% specific for S. pneumoniae, whereas assays targeting cpsA, ply, Spn9802, zmpC and selected serotype-specific assays (but not capsular sequence typing) showed a lack of specificity. False positive results were over-represented in species associated with carriage, although no particular confounding signal was unique for carriage isolates.


bioRxiv | 2016

Large scale genomic analysis shows no evidence for repeated pathogen adaptation during the invasive phase of bacterial meningitis in humans

John A. Lees; Philip Hc Kremer; Ana Sousa Manso; Nicholas J. Croucher; Bart Ferwerda; Mercedes Valls Serón; Marco R. Oggioni; Julian Parkhill; Matthjis C Brouwer; Arie van der Ende; Diederik van de Beek; Stephen D. Bentley

Recent studies have provided evidence for rapid pathogen genome variation, some of which could potentially affect the course of disease. We have previously detected such variation by comparing isolates infecting the blood and cerebrospinal fluid (CSF) of a single patient during a case of bacterial meningitis. To determine whether the observed variation repeatedly occurs in cases of disease, we performed whole genome sequencing of paired isolates from blood and CSF of 938 meningitis patients. We also applied the same techniques to 54 paired isolates from the nasopharynx and CSF. Using a combination of reference-free variant calling approaches we show that no genetic adaptation occurs in the invasive phase of bacterial meningitis for four major pathogen species: Streptococcus pneumoniae, Neisseria meningitidis, Listeria monocytogenes and Haemophilus influenzae. From nasopharynx to CSF, no adaptation was seen in S. pneumoniae, but in N. meningitidis mutations potentially mediating adaptation to the invasive niche were occasionally observed in the dca gene. This study therefore shows that the bacteria capable of causing meningitis are already able to do this upon entering the blood, and no further sequence change is necessary to cross the blood-brain barrier. The variation discovered from nasopharyngeal isolates suggest that larger studies comparing carriage and invasion may help determine the likely mechanisms of invasiveness. Author Summary We have analysed the entire DNA sequence from bacterial pathogen isolates from cases of meningitis in 938 Dutch adults, focusing on comparing pairs of isolates from the patient’s blood and their cerebrospinal fluid. Previous research has been on only a single patient, but showed possible signs of adaptation to treatment within the host over the course of a single case of disease. By sequencing many more such paired samples, and including four different bacterial species, we were able to determine that adaptation of the pathogen does not occur after bloodstream invasion during bacterial meningitis. We also analysed 54 pairs of isolates from pre- and post-invasive niches from the same patient. In N. meningitidis we found variation in the sequence of one gene which appears to provide bacteria with an advantage after invasion of the bloodstream. Overall, our findings indicate that evolution after invasion in bacterial meningitis is not a major contribution to disease pathogenesis. Future studies should involve more extensive sampling between the carriage and disease niches, or on variation of the host.


Acta neuropathologica communications | 2016

V-akt murine thymoma viral oncogene homolog 3 (AKT3) contributes to poor disease outcome in humans and mice with pneumococcal meningitis.

Mercedes Valls Serón; Bart Ferwerda; JooYeon Engelen-Lee; Madelijn Geldhoff; Valery Jaspers; Aeilko H. Zwinderman; Michael W. T. Tanck; Frank Baas; Arie van der Ende; Matthijs C. Brouwer; Diederik van de Beek

Pneumococcal meningitis is the most common and severe form of bacterial meningitis. Fatality rates are substantial, and long-term sequelae develop in about half of survivors. Here, we have performed a prospective nationwide genetic association study using the Human Exome BeadChip and identified gene variants in encoding dynactin 4 (DCTN4), retinoic acid early transcript 1E (RAET1E), and V-akt murine thymoma viral oncogene homolog 3 (AKT3) to be associated with unfavourable outcome in patients with pneumococcal meningitis. No clinical replication cohort is available, so we validated the role of one of these targets, AKT3, in a pneumococcal meningitis mouse model. Akt3 deficient mice had worse survival and increased histopathology scores for parenchymal damage (infiltration) and vascular infiltration (large meningeal artery inflammation) but similar bacterial loads, cytokine responses, compared to wild-type mice. We found no differences in cerebrospinal fluid cytokine levels between patients with risk or non-risk alleles. Patients with the risk genotype (rs10157763, AA) presented with low scores on the Glasgow Coma Scale and high rate of epileptic seizures. Thus, our results show that AKT3 influences outcome of pneumococcal meningitis.


bioRxiv | 2018

Joint sequencing of human and pathogen genomes reveals the genetics of pneumococcal meningitis

John A. Lees; Bart Ferwerda; Philip Hc Kremer; Nicole E. Wheeler; Mercedes Valls Serón; Nicholas J. Croucher; Rebecca A. Gladstone; Hester J. Bootsma; Nynke Y. Rots; Alienke J Wijmega-Monsuur; Elisabeth A. M. Sanders; Krzysztof Trzciński; Anne L. Wyllie; Aeilko H. Zwinderman; Leonard H. van den Berg; Wouter van Rheenen; Jan H. Veldink; Zitta B. Harboe; Lene Fogt Lundbo; Lisette Cpgm de Groot; Natasja M. van Schoor; Nathalie van der Velde; Lars Ängquist; Thorkild I. A. Sørensen; Ellen Aagaard Nohr; Alex Mentzer; Tara C. Mills; Julian C. Knight; Mignon du Plessis; Susan A. Nzenze

Streptococcus pneumoniae is a common nasopharyngeal colonizer, but can also cause life-threatening invasive diseases such as empyema, bacteremia and meningitis. Genetic variation of host and pathogen is known to play a role in invasive pneumococcal disease, though to what extent is unknown. In a genome-wide association study of human and pathogen we show that human variation explains almost half of variation in susceptibility to pneumococcal meningitis and one-third of variation in severity, and identified variants in CCDC33 associated with susceptibility. Pneumococcal variation explained a large amount of invasive potential, but serotype explained only half of this variation. Newly developed methods identified pneumococcal genes involved in invasiveness including pspC and zmpD, and allowed a human-bacteria interaction analysis, finding associations between pneumococcal lineage and STK32C.

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Frank Baas

University of Amsterdam

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John A. Lees

Wellcome Trust Sanger Institute

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