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Diricks, M.

Publications and source records attributed to Diricks, M..

4 recordsLinked to original sources

Niche-specific metabolic signatures in non-typeable Haemophilus influenzae

Non-typeable Haemophilus influenzae (NTHi) is a prominent opportunistic pathogen relevant to chronic respiratory diseases. NTHis metabolic diversity enables its survival in a wide range of environmental conditions within the host. As such, deeper research into the metabolic pathways of NTHi may open an avenue for novel therapies aimed at combating NTHi-associated respiratory diseases. Draft genome sequences from nine NTHi clinical strains from three isolation sites - ear (ear sample, ES), pharynx (pharynx sample, PS), and lower respiratory tract (Lungs) - were analyzed and annotated using RAST, PROKKA, KEGG KAAS, and antiSMASH. Pathway module coverage per-strain was computed and summarized by per-group for significant annotated metabolites. Metabolites were analyzed by LC/HRMS, identified by Metaboscape, and statistically compared using MetaboAnalyst and R software. Gene content across the tested NTHi strains was largely conserved, with limited core-genome SNP variation. Gene annotation for metabolite-related pathways revealed that all nine strains possessed largely similar sets of metabolic pathway genes, despite minor nucleotide-level differences, indicating broadly comparable metabolic capacities. In contrast, metabolomics data revealed differential metabolic profiles among the body-site groups. In a principal component analysis (PCA), the ES group was significantly separated from both the PS and Lung groups, which overlapped considerably. Detailed metabolite analyses showed that inosine, hypoxanthine, and uracil were highly significant in the ES group compared to the PS and Lung groups. For the first time, our study sheds light on the extent of metabolic differences associated with NTHi inhabiting diverse host niches. The observed metabolic differences suggest that NTHi may modulate its metabolism in a site-specific manner that is affected by environmental factors. These findings add to our understanding of how NTHi metabolism contributes to site-specific colonization. Author summaryHaemophilus influenzae is widely recognized as a causative agent of meningitis and pneumonia. In particular, H. influenzae strains with a polysaccharide capsule--known as H. influenzae type b (Hib)--were historically a major cause of invasive disease. However, Hib has been largely eradicated following implementation of the Hib vaccine. Nonetheless, there are H. influenzae strains that lack this capsule and are therefore not targeted by the vaccine. These are known as non-typeable H. influenzae (NTHi). Following the decline of Hib, NTHi has rapidly occupied the ecological niche in the lower respiratory tract, becoming the most prominent pathogen in patients with chronic respiratory infections--particularly in those with chronic obstructive pulmonary disease (COPD), where it frequently triggers exacerbations. Importantly, NTHi is also a common component of the normal microbiome in healthy individuals, typically residing in the upper respiratory tract without causing disease. In our study, we investigated the metabolic characteristics of NTHi isolates obtained from different body sites in patients to better understand what distinguishes strains capable of colonizing specific anatomical niches. We successfully identified several distinct metabolic features associated with NTHi strains from the ear, pharynx, and lung. These findings may serve as a foundation for future research into patient-tailored biomarkers and targeted therapies, ultimately aiming to eradicate NTHi in chronic lung infections.

microbiology↗

Evolution of β-lactam resistance causes fitness reductions and several cases of collateral sensitivities in the human pathogen Haemophilus influenzae

The evolution of antimicrobial resistant (AMR) pathogens poses a global health threat and it is unclear if evolutionary trajectories to resistance lead to predictable phenotypes. We analyzed AMR-evolution in the human pathogen Haemophilus influenzae in controlled evolution experiments with increasing concentrations of either ampicillin, cefotaxime, or ceftriaxone. We isolated 315 clones from different time points of six independent experiments and characterized changes in genome sequences, bacterial fitness, and minimum inhibitory concentrations (MICs) to 14 antibiotics. Resistance evolution under ampicillin and cefotaxime was mainly driven by mutations in the ftsI gene, encoding the penicillin-binding protein 3. However, ceftriaxone exposure repeatedly selected for amino acid substitutions in the outer membrane protein P2 (OmpP2). Some OmpP2-mutants reproducibly showed phenotypic heterogeneity for ceftriaxone but also for fluoroquinolones, rifampicin and tetracycline. Bacterial fitness assessments revealed trade-offs between resistance-associated mutations and growth, though no systematic correlation of MIC increase and growth deficit was detected. Over 50% of the selected clones became more susceptible to aminoglycosides, clarithromycin, and colistin, while some mutation patterns resulted in cross-resistance to meropenem and fluoroquinolones. Overall, beta-lactam antibiotics reproducibly selected mutants with increased MICs, but evolutionary pathways and resulting phenotypes remain unpredictable. These findings highlight the complexity of resistance evolution and suggest that future AMR treatment strategies may need to consider strain-specific and collateral effects more closely.

genomics↗

EnteroBase in 2025: exploring the genomic epidemiology of bacterial pathogens

This paper presents an update on the content, accessibility and analytical tools of the EnteroBase platform for web-based pathogen genome analysis. EnteroBase provides manually curated databases of genome sequence data and associated metadata from currently >1.1 million bacterial isolates, more recently including Streptococcus spp. and Mycobacterium tuberculosis. We have implemented the genome-based detection of antimicrobial resistance determinants and the new bubble plot graphical tool for visualising bacterial genomic population structures, based on pre-computed hierarchical clusters. Access to data and analysis tools is provided through an enhanced graphical user interface and a new application programming interface (RESTful API). EnteroBase is now being developed and operated by an international consortium, to accelerate the development of the platform and ensure the longevity of the resources built. EnteroBase can be accessed at https://enterobase.warwick.ac.uk as well as https://enterobase.dsmz.de. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/608032v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@88ff78org.highwire.dtl.DTLVardef@3c426eorg.highwire.dtl.DTLVardef@2d8481org.highwire.dtl.DTLVardef@5644bb_HPS_FORMAT_FIGEXP M_FIG C_FIG

genomics↗

The global phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia

Recent studies portend a rising global spread and adaptation of human- or healthcare-associated pathogens. Here, we analysed an international collection of the emerging, multidrug-resistant, opportunistic pathogen Stenotrophomonas maltophilia from 22 countries to infer population structure and clonality at a global level. We show that the S. maltophilia complex is divided into 23 monophyletic lineages, most of which harboured strains of all degrees of human virulence. Lineage Sm6 comprised the highest rate of human-associated strains, linked to key virulence and resistance genes. Transmission analysis identified potential outbreak events of genetically closely related strains isolated within days or weeks in the same hospitals.\n\nOne Sentence SummaryThe S. maltophilia complex comprises genetically diverse, globally distributed lineages with evidence for intra-hospital transmission.

genomics↗