Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dick van Soolingen is active.

Publication


Featured researches published by Dick van Soolingen.


Drug Resistance Updates | 2012

Resistance mechanisms and drug susceptibility testing of nontuberculous mycobacteria.

Jakko van Ingen; Martin J. Boeree; Dick van Soolingen; Johan W. Mouton

Nontuberculous mycobacteria (NTM) are increasingly recognized as causative agents of opportunistic infections in humans. For most NTM infections the therapy of choice is drug treatment, but treatment regimens differ by species, in particular between slow (e.g. Mycobacterium avium complex, Mycobacterium kansasii) and rapid growers (e.g. Mycobacterium abscessus, Mycobacterium fortuitum). In general, drug treatment is long, costly, and often associated with drug-related toxicities; outcome of drug treatment is poor and is likely related to the high levels of natural antibiotic resistance in NTM. The role of drug susceptibility testing (DST) in the choice of agents for antimicrobial treatment of NTM disease, mainly that by slow growers, remains subject of debate. There are important discrepancies between drug susceptibility measured in vitro and the activity of the drug observed in vivo. In part, these discrepancies derive from laboratory technical issues. There is still no consensus on a standardized method. With the increasing clinical importance of NTM disease, DST of NTM is again in the spotlight. This review provides a comprehensive overview of the mechanisms of drug resistance in NTM, phenotypic methods for testing susceptibility in past and current use for DST of NTM, as well as molecular approaches to assess drug resistance.


PLOS ONE | 2010

Innate immune response to Mycobacterium tuberculosis Beijing and other genotypes.

Chongzhen Wang; Pascale Peyron; Olga Mestre; Gilla Kaplan; Dick van Soolingen; Qian Gao; Brigitte Gicquel; Olivier Neyrolles

Background As a species, Mycobacterium tuberculosis is more diverse than previously thought. In particular, the Beijing family of M. tuberculosis strains is spreading and evoluating throughout the world and this is giving rise to public health concerns. Genetic diversity within this family has recently been delineated further and a specific genotype, called Bmyc10, has been shown to represent over 60% of all Beijing clinical isolates in several parts of the world. How the host immune system senses and responds to various M. tuberculosis strains may profoundly influence clinical outcome and the relative epidemiological success of the different mycobacterial lineages. We hypothesised that the success of the Bmyc10 group may, at least in part, rely upon its ability to alter innate immune responses and the secretion of cytokines and chemokines by host phagocytes. Methodology/Principal Findings We infected human macrophages and dendritic cells with a collection of genetically well-defined M. tuberculosis clinical isolates belonging to various mycobacterial families, including Beijing. We analyzed cytokine and chemokine secretion on a semi-global level using antibody arrays allowing the detection of sixty-five immunity-related soluble molecules. Our data indicate that Beijing strains induce significantly less interleukin (IL)-6, tumor necrosis factor (TNF), IL-10 and GRO-α than the H37Rv reference strain, a feature that is variously shared by other modern and ancient M. tuberculosis families and which constitutes a signature of the Beijing family as a whole. However, Beijing strains did not differ relative to each other in their ability to modulate cytokine secretion. Conclusions/Significance Our results confirm and expand upon previous reports showing that M. tuberculosis Beijing strains in general are poor in vitro cytokine inducers in human phagocytes. The results suggest that the epidemiological success of the Beijing Bmyc10 is unlikely to rely upon any specific ability of this group of strains to impair anti-mycobacterial innate immunity.


Infection, Genetics and Evolution | 2012

DNA fingerprinting of Mycobacterium tuberculosis: from phage typing to whole-genome sequencing.

Anita C. Schürch; Dick van Soolingen

Current typing methods for Mycobacterium tuberculosis complex evolved from simple phenotypic approaches like phage typing and drug susceptibility profiling to DNA-based strain typing methods, such as IS6110-restriction fragment length polymorphisms (RFLP) and variable number of tandem repeats (VNTR) typing. Examples of the usefulness of molecular typing are source case finding and epidemiological linkage of tuberculosis (TB) cases, international transmission of MDR/XDR-TB, the discrimination between endogenous reactivation and exogenous re-infection as a cause of relapses after curative treatment of tuberculosis, the evidence of multiple M. tuberculosis infections, and the disclosure of laboratory cross-contaminations. Simultaneously, phylogenetic analyses were developed based on single nucleotide polymorphisms (SNPs), genomic deletions usually referred to as regions of difference (RDs) and spoligotyping which served both strain typing and phylogenetic analysis. National and international initiatives that rely on the application of these typing methods have brought significant insight into the molecular epidemiology of tuberculosis. However, current DNA fingerprinting methods have important limitations. They can often not distinguish between genetically closely related strains and the turn-over of these markers is variable. Moreover, the suitability of most DNA typing methods for phylogenetic reconstruction is limited as they show a high propensity of convergent evolution or misinfer genetic distances. In order to fully explore the possibilities of genotyping in the molecular epidemiology of tuberculosis and to study the phylogeny of the causative bacteria reliably, the application of whole-genome sequencing (WGS) analysis for all M. tuberculosis isolates is the optimal, although currently still a costly solution. In the last years WGS for typing of pathogens has been explored and yielded important additional information on strain diversity in comparison to the classical DNA typing methods. With the ongoing cost reduction of DNA sequencing it is possible that WGS will become the sole diagnostic tool in the secondary laboratory diagnosis of tuberculosis for identification, drug susceptibility testing and genetic characterization.


Emerging Infectious Diseases | 2008

Mycobacterium xenopi clinical relevance and determinants, the Netherlands.

Jakko van Ingen; Martin J. Boeree; Wiel C. M. de Lange; Wouter Hoefsloot; Saar A. Bendien; Cecile Magis-Escurra; Richard Dekhuijzen; Dick van Soolingen

Clinical isolation of M. xenopi represents true infection in 51% of cases; genotype is a major determinant.


BMC Infectious Diseases | 2010

Validation of the GenoType MTBDRplus assay for diagnosis of multidrug resistant tuberculosis in South Vietnam.

Mai N. T. Huyen; Edine W. Tiemersma; Nguyen Trong Lan; Frank Cobelens; Nguyen H. Dung; Dinh Ngoc Sy; Tran N. Buu; Kristin Kremer; Pham Thi Kim Hang; Maxine Caws; Richard O'Brien; Dick van Soolingen

BackgroundTo control multidrug resistant tuberculosis (MDR-TB), the drug susceptibility profile is needed to guide therapy. Classical drug susceptibility testing (DST) may take up to 2 to 4 months. The GenoType® MTBDRplus test is a commercially available line-probe assay that rapidly detects Mycobacterium tuberculosis (MTB) complex, as well as the most common mutations associated with rifampin and isoniazid resistance.We assessed sensitivity and specificity of the assay by using a geographically representative set of MTB isolates from the South of Vietnam.MethodsWe re-cultured 111 MTB isolates that were MDR, rifampin-resistant or pan-susceptible according to conventional DST and tested these with the GenoType® MTBDRplus test.ResultsBy conventional DST, 55 strains were classified as MDR-TB, four strains were rifampicin mono-resistant and 52 strains were susceptible to all first-line drugs. The sensitivity of the GenoType® MTBDRplus was 93.1% for rifampicin, 92.6% for isoniazid and 88.9% for the combination of both; its specificity was 100%. The positive predictive value of the GenoType® MTBDRplus test for MDR-TB was 100% and the negative predictive value 90.3%.ConclusionsWe found a high specificity and positive predictive value of the GenoType® MTBDRplus test for MDR-TB which merits its use in the MDR-TB treatment program in Vietnam.


Nature Reviews Rheumatology | 2007

Pulmonary Mycobacterium szulgai infection and treatment in a patient receiving anti-tumor necrosis factor therapy

Jakko van Ingen; Martin J. Boeree; Matthijs Janssen; Erik Ullmann; Wiel C. M. de Lange; Petra E. W. de Haas; Richard Dekhuijzen; Dick van Soolingen

Background A 54-year-old man with a 22-year history of rheumatoid arthritis and an 8-year history of chronic obstructive pulmonary disease presented with dyspnea on exertion, nonproductive cough and fatigue of 1 months duration. His medication at presentation consisted of etanercept, azathioprine, naproxen and inhaled fluticasone and salbutamol.Investigations At presentation, the patient underwent physical examination, chest X-ray and high-resolution CT, blood tests, and bronchoalveolar lavage fluid analysis including auramine stains and gene sequence analysis of cultured Mycobacterium szulgai. The patient underwent minithoracotomy after 6 months, and bronchoalveolar lavage fluid analysis, culture and chest X-ray after 18 months. Further chest imaging and culture of sputum samples were performed another year later.Diagnosis Pulmonary M. szulgai infection.Management Triple drug therapy with rifampicin, ethambutol hydrochloride and clarithromycin. Anti-tumor necrosis factor treatment was continued.


Antimicrobial Agents and Chemotherapy | 2016

Clofazimine Prevents the Regrowth of Mycobacterium abscessus and Mycobacterium avium Type Strains Exposed to Amikacin and Clarithromycin.

Beatriz E. Ferro; Joseph Meletiadis; Melanie Wattenberg; Arjan de Jong; Dick van Soolingen; Johan W. Mouton; Jakko van Ingen

ABSTRACT Multidrug therapy is a standard practice when treating infections by nontuberculous mycobacteria (NTM), but few treatment options exist. We conducted this study to define the drug-drug interaction between clofazimine and both amikacin and clarithromycin and its contribution to NTM treatment. Mycobacterium abscessus and Mycobacterium avium type strains were used. Time-kill assays for clofazimine alone and combined with amikacin or clarithromycin were performed at concentrations of 0.25× to 2× MIC. Pharmacodynamic interactions were assessed by response surface model of Bliss independence (RSBI) and isobolographic analysis of Loewe additivity (ISLA), calculating the percentage of statistically significant Bliss interactions and interaction indices (I), respectively. Monte Carlo simulations with predicted human lung concentrations were used to calculate target attainment rates for combination and monotherapy regimens. Clofazimine alone was bacteriostatic for both NTM. Clofazimine-amikacin was synergistic against M. abscessus (I = 0.41; 95% confidence interval [CI], 0.29 to 0.55) and M. avium (I = 0.027; 95% CI, 0.007 to 0.048). Based on RSBI analysis, synergistic interactions of 28.4 to 29.0% and 23.2 to 56.7% were observed at 1× to 2× MIC and 0.25× to 2× MIC for M. abscessus and M. avium, respectively. Clofazimine-clarithromycin was also synergistic against M. abscessus (I = 0.53; 95% CI, 0.35 to 0.72) and M. avium (I = 0.16; 95% CI, 0.04 to 0.35), RSBI analysis showed 23.5% and 23.3 to 53.3% at 2× MIC and 0.25× to 0.5× MIC for M. abscessus and M. avium, respectively. Clofazimine prevented the regrowth observed with amikacin or clarithromycin alone. Target attainment rates of combination regimens were >60% higher than those of monotherapy regimens for M. abscessus and M. avium. The combination of clofazimine with amikacin or clarithromycin was synergistic in vitro. This suggests a potential role for clofazimine in treatment regimens that warrants further evaluation.


Journal of Clinical Microbiology | 2014

Optimization of Standard In-House 24-Locus Variable-Number Tandem-Repeat Typing for Mycobacterium tuberculosis and Its Direct Application to Clinical Material

Jessica de Beer; Onno W. Akkerman; Anita C. Schürch; Arnout Mulder; Tjip S. van der Werf; Adri G. M. van der Zanden; Jakko van Ingen; Dick van Soolingen

ABSTRACT Variable-number tandem-repeat (VNTR) typing with a panel of 24 loci is the current gold standard in the molecular typing of Mycobacterium tuberculosis complex isolates. However, because of technical problems, a part of the loci often cannot be amplified by multiplex PCRs. Therefore, a considerable number of single-locus PCRs have to be performed for the loci with missing results, which impairs the laboratory work flow. Therefore, the original in-house method described by Supply et al. in 2006 was reevaluated. We modified seven primers and the PCR master mixture and obtained a strongly optimized in-house 24-locus VNTR typing method. The percentage of instantly complete 24-locus VNTR patterns detected in the routine flow of typing activities increased to 84.7% from the 72.3% obtained with the typing conducted with the commercially available Genoscreen MIRU-VNTR typing kit. The analytical sensitivity of the optimized in-house method was assessed by serial dilutions of M. tuberculosis in bronchoalveolar lavage fluid. A 1:10 dilution of the different strains tested was the lowest dilution for the detection of a complete 24-locus VNTR pattern. The optimized in-house 24-locus VNTR typing method will reduce the turnaround time of typing significantly and also the financial burden of these activities.


Infection and Immunity | 2013

Low Induction of Proinflammatory Cytokines Parallels Evolutionary Success of Modern Strains within the Mycobacterium tuberculosis Beijing Genotype

Arjan van Laarhoven; Jornt J. Mandemakers; Johanneke Kleinnijenhuis; M. Enaimi; Ekta Lachmandas; Leo A. B. Joosten; Tom H. M. Ottenhoff; Mihai G. Netea; Dick van Soolingen; Reinout van Crevel

ABSTRACT One of the most widespread clades of Mycobacterium tuberculosis worldwide, the Beijing genotype family, consists of ancient (atypical) and modern (typical) strains. Modern Beijing strains outcompete ancient strains in terms of prevalence, while reserving a higher degree of genetic conservation. We hypothesize that their selective advantage lies in eliciting a different host immune response. Bead-disrupted lysates of a collection of different M. tuberculosis strains of the modern (n = 7) or ancient (n = 7) Beijing genotype, as well as the Euro-American lineage (n = 6), were used for induction of ex vivo cytokine production in peripheral blood mononuclear cells (PBMCs) from 10 healthy individuals. Hierarchical clustering and multivariate regression analyses were used to study possible differences in production of nine cytokines. Modern and ancient M. tuberculosis Beijing genotypes induced different cytokine signatures. Overall induction of interleukin-1β (IL-1β), gamma interferon (IFN-γ), and IL-22 was 38 to 40% lower after stimulation with modern Beijing strains (corrected P values of <0.0001, 0.0288, and 0.0002, respectively). Euro-American reactivation strains induced 2-fold more TNF-α production than both types of Beijing strains. The observed differences in cytokine induction point to a reduction in proinflammatory cytokine response as a possible contributing factor to the evolutionary success of modern Beijing strains.


Journal of Antimicrobial Chemotherapy | 2015

Time–kill kinetics of antibiotics active against rapidly growing mycobacteria

Beatriz E. Ferro; Jakko van Ingen; Melanie Wattenberg; Dick van Soolingen; Johan W. Mouton

OBJECTIVESnThis study was conducted to generate basic pharmacodynamic information on the relationship between antibiotic concentrations and the growth of rapidly growing mycobacteria (RGM), and thereby contribute to a better understanding of current and future drug regimens for diseases caused by RGM.nnnMETHODSnType strains of Mycobacterium abscessus and Mycobacterium fortuitum were used; the MICs of cefoxitin, amikacin, moxifloxacin, linezolid and clarithromycin were determined by broth microdilution. Time-kill assays were performed, exposing the bacteria to 2-fold concentrations from 0.25 to 32 times the MIC at 30°C for 120 h. The sigmoid maximum effect (Emax) model was fitted to the time-kill curves data.nnnRESULTSnThe highest killing of M. abscessus was observed between 24 and 72 h; amikacin had the highest Emax (0.0427 h(-1)), followed by clarithromycin (0.0231 h(-1)) and cefoxitin (0.0142 h(-1)). For M. fortuitum, between 3 and 24 h, amikacin also showed the highest Emax (0.1933 h(-1)). There were no significant differences between the Hills slopes determined for all the antibiotics tested against M. abscessus or M. fortuitum (Pu200a=u200a0.2213 and Pu200a=u200a0.2696, respectively).nnnCONCLUSIONSnThe total effect observed for all antibiotics was low and primarily determined by the Emax and not by the Hills slope. The limited activity detected fits well with the poor outcome of antibiotic treatment for disease caused by RGM, particularly for M. abscessus. An evaluation of drug combinations will be the next step in understanding and improving current treatment standards.

Collaboration


Dive into the Dick van Soolingen's collaboration.

Top Co-Authors

Avatar

Jakko van Ingen

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Johan W. Mouton

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar

Beatriz E. Ferro

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Jan-Willem C. Alffenaar

University Medical Center Groningen

View shared research outputs
Top Co-Authors

Avatar

Martin J. Boeree

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

Wiel C. M. de Lange

University Medical Center Groningen

View shared research outputs
Top Co-Authors

Avatar

Onno W. Akkerman

University Medical Center Groningen

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Tjip S. van der Werf

University Medical Center Groningen

View shared research outputs
Top Co-Authors

Avatar

Shashikant Srivastava

Baylor University Medical Center

View shared research outputs
Researchain Logo
Decentralizing Knowledge