Biology subjects

Heyderman, R.

Publications and source records attributed to Heyderman, R..

6 recordsLinked to original sources

bioRxiv2025

Streptococcus pneumoniae accessory capsular genes modulate fitness, pathogenicity and immune evasion

Globally, Streptococcus pneumoniae disproportionally affects children in resource-poor settings, older adults and people living with HIV. Frequently found as an asymptomatic colonizer of the nasopharynx, this versatile pathogen is a prominent cause of pneumonia, meningitis, bacteraemia and otitis media. Recently, a serotype 3 capsule variant (GPSC10-ST700) has expanded in Malawi with enhanced vaccine escape potential. Here, using a mutational and complementation approach, we show that loss of accessory capsular genes in GPSC10-ST700 contribute to increased opsonophagocytic resistance in this lineage. Although originally thought to be nonfunctional pseudogenes, we show that these genes modulate fitness and the global phosphoproteome in serotype 3 strains. These findings highlight that vaccine escape may be mediated through variations in the pneumococcal capsular locus that enhance fitness, pathogenicity and immune evasion, without capsule switching. IMPORTANCEPneumococcal polysaccharide-conjugate vaccines (PCV) target the polysaccharide capsule (CPS), which is a dominant virulence factor. However, current PCVs induce suboptimal protection against serotype 3 strains, which produce a thicker capsule that when released from the bacterial surface, interferes with antibody-mediated bacterial killing and protection. We recently described the clonal expansion of a sequence type (ST) 700-GPSC10 serotype 3 lineage in Malawi post-PCV13 introduction. This lineage is characterized by the absence of at least 6 genes in its cps locus and a distinct antimicrobial resistance (AMR) profile compared to other serotype 3 strains. Here we uncovered a functional role for the accessory capsular genes (acl) in serotype 3, previously considered to be pseudogenes, which modulate capsule production, shedding, serum tolerance, and bacterial fitness. By linking genotype to phenotype, our work provides new insights into the molecular basis of serotype 3 immune evasion, informing the design of more effective pneumococcal vaccines.

microbiology↗

bioRxiv2023

Essential role of proline synthesis and the one-carbon metabolism pathways for systemic virulence of Streptococcus pneumoniae

Previous virulence screens have indicated potential roles during Streptococcus pneumoniae infection for the one-carbon metabolism pathway component Fhs and proline synthesis mediated by ProABC. To define how these metabolic pathways affect S. pneumoniae virulence we have investigated phenotypes and transcription profiles of {Delta}fhs and {Delta}proABC strain mutants. S. pneumoniae capsular serotype 6B BHN418 {Delta}fhs and {Delta}proABC mutant strains were markedly reduced virulence in mouse models of systemic infection and pneumonia, but were still able to colonise the nasopharynx. Although the {Delta}fhs and {Delta}proABC mutant strains grew normally in complete media, both mutant strains had markedly impaired growth in chemically defined medium, human serum and human CSF. The {Delta}proABC strain also had impaired growth under conditions of osmotic and oxidative stress. When transferred to the serotype 2 D39 S. pneumoniae strain background, the {Delta}fhs mutation replicated the virulence and growth in serum phenotype of the BHN418 mutation. In contrast, the D39 {Delta}proABC mutant could cause septicaemia and grow in human serum, indicating the role of this genetic locus during virulence is strain-specific. In human sera the {Delta}fhs and {Delta}proABC mutants both had major derangements in global gene transcription affecting multiple but different metabolic pathways, identifying the corresponding S. pneumoniae metabolic functions affected by these genes under infection-related conditions. Our data demonstrate an essential role for the S. pneumoniae one- carbon metabolism and a strain-conditional role for proline biosynthesis for growth in physiological fluids and therefore systemic infection, and further demonstrate the vital importance of bacterial metabolism for disease pathogenesis. ImportanceRapid adaptation to grow within the physiological conditions found in the host environment is an essential but poorly understood virulence requirement for systemic pathogens such as Streptococcus pneumoniae. We have now demonstrated an essential role for the one-carbon metabolism pathway and a conditional role depending on strain background for proline biosynthesis for S. pneumoniae growth in serum or CSF and therefore for systemic virulence. RNAseq data demonstrated that loss of one carbon metabolism or proline biosynthesis both have profound but differing effects on S. pneumoniae metabolism in human serum, identifying the metabolic processes dependent on each pathway during systemic infection. These data provide a more detailed understanding of the adaptations required by systemic bacterial pathogens in order to cause infection, and demonstrate that the requirement for some of these adaptations vary between strains from the same species and could therefore underpin strain variations in virulence potential.

microbiology↗

bioRxiv2021

Genomic variation across a clinical Cryptococcus population linked to disease outcome

Cryptococcus neoformans is the causative agent of cryptococcosis, a disease with poor patient outcomes, accounting for approximately 180,000 deaths each year. Patient outcomes may be impacted by the underlying genetics of the infecting isolate; however, our current understanding of how genetic diversity contributes to clinical outcomes is limited. Here, we leverage clinical, in vitro growth and genomic data for 284 C. neoformans isolates to identify clinically relevant pathogen variants within a population of clinical isolates from patients with HIV-associated cryptococcosis in Malawi. Through a genome-wide association study (GWAS) approach, we identify variants associated with fungal burden and growth rate. We also find both small and large-scale variation, including aneuploidy, associated with alternate growth phenotypes, which may impact the course of infection. Genes impacted by these variants are involved in transcriptional regulation, signal transduction, glycosylation, sugar transport, and glycolysis. We show that growth within the CNS is reliant upon glycolysis in an animal model, and likely impacts patient mortality, as CNS yeast burden likely modulates patient outcome. Additionally, we find genes with roles in sugar transport are enriched in regions under selection in specific lineages of this clinical population. Further, we demonstrate that genomic variants in two genes identified by GWAS impact virulence in animal models. Our approach identifies links between genetic variation in C. neoformans and clinically relevant phenotypes and animal model pathogenesis; shedding light on specific survival mechanisms within the CNS and identifying pathways involved in yeast persistence. ImportanceInfection outcomes for cryptococcosis, most commonly caused by C. neoformans, are influenced by host immune responses, as well as host and pathogen genetics. Infecting yeast isolates are genetically diverse; however, we lack a deep understanding of how this diversity impacts patient outcomes. To better understand both clinical isolate diversity and how diversity contributes to infection outcome, we utilize a large collection of clinical C. neoformans samples, isolated from patients enrolled in a clinical trial across 3 hospitals in Malawi. By combining whole-genome sequence data, clinical data, and in vitro growth data, we utilize genome-wide association approaches to examine the genetic basis of virulence. Genes with significant associations display virulence attributes in both murine and rabbit models, demonstrating that our approach can identify potential links between genetic variants and patho-biologically significant phenotypes.

genomics↗

bioRxiv2020

Evaluation of pneumococcal serotyping in nasopharyngeal carriage isolates by latex agglutination, whole genome sequencing (PneumoCaT) and DNA microarray in a high pneumococcal carriage prevalence population in Malawi

BackgroundAccurate assessment of the serotype distribution associated with pneumococcal colonization and disease is essential for the evaluation and formulation of pneumococcal vaccines and informing vaccine policy. MethodsWe evaluated pneumococcal serotyping concordance between latex agglutination, PneumoCaT by whole genome sequencing (WGS) and DNA microarray using samples from community carriage surveillance in Blantyre, Malawi. Nasopharyngeal swabs were collected, following WHO recommendations, between 2015 and 2017, using stratified random sampling among study populations. Participants included healthy children 3-6 years old (PCV13 vaccinated as part of EPI), healthy children 5-10 years (age-ineligible for PCV13), and HIV-infected adults (18-40yrs) on ART. For phenotypic serotyping we used a 13-valent latex kit (SSI, Denmark). For genomic serotyping we applied PneumoCaT pipeline to whole genome sequence libraries. For molecular serotyping by microarray we used the BUGS Bioscience DNA microarray. Results1347 samples were analysed. Concordance was 90.7% (95% CI: 89.0-92.2) between latex and PneumoCaT; 95.2% (93.9-96.3) between latex and microarray; and 96.6% (95.5-97.5) between microarray and PneumoCaT. By detecting carried vaccine serotype (VT) pneumococcus in low relative abundance (median 8%), microarray increased VT detection by 31.5% compared to latex serotyping. ConclusionAll three serotyping methods were highly concordant in identifying dominant serotypes. Latex serotyping is accurate in identifying vaccine-serotypes and requires the least expertise and resources for field-implementation and analysis. However, WGS, which adds population structure, and microarray, which adds multiple-serotype carriage, should be considered at regional reference laboratories while investigating the importance of VT in low relative abundance in transmission and disease.

microbiology↗

bioRxiv2018

Cerebrospinal fluid transcriptional analyses reveals upregulation of IL-17, Type 1 interferon transcriptional pathways and neutrophil persistence genes associated with increased mortality from pneumococcal meningitis in adults

BackgroundImproving outcomes from pneumococcal meningitis (PM), particularly in populations with high HIV prevalence, requires better understanding of host inflammatory responses to infection.\n\nMethodsWe compared the transcriptome in pre-antibiotic cerebrospinal fluid (CSF) and blood from Malawian adults with PM using RNA sequencing. We used network analyses and cellular/process deconvolution of the transcriptome to identify important patho-physiological associations with outcome.\n\nFindingsBlood transcriptional profiles were obtained in 28 patients (21 HIV co-infected; median age 33 years [26-66]; median CSF WCC 28 cells/mm3 [0-3660]; median bacterial load 4.7x106 copies/ml CSF [671-2x109]; in-hospital mortality 64%), paired CSF profiles were obtained in 13. Marked differences in gene expression by outcome were confined to the CSF. In non-survivors, differentially expressed genes in the CSF were co-correlated in a network of pro-inflammatory gene-clusters enriched for collagen degradation and platelet degranulation. In contrast, CSF gene expression networks from surviving patients were dominated by DNA repair, transcriptional regulation and immunological signalling. CSF expression of gene response-modules for IL-17, Type 1 interferons and IL-10 were enriched in non-survivors, expression of cell-specific response-modules did not differ by outcome. However, genes for neutrophil chemotaxis and persistence were highly over-expressed in non-survivors.\n\nInterpretationThese data suggest poor outcome in PM is associated with over-expression of IL-17 and T1-IFN associated pro-inflammatory responses in the CSF and suggest a role for neutrophil-mediated inflammation. These responses are unlikely to be effected by current adjunctive treatments. Improving poor outcomes from PM will require better-targeted interventions.\n\nFundingAcademy of Medical Sciences (UK), Wellcome Trust (UK) (089671/B/09/Z)

immunology↗

bioRxiv2018

Identifying Streptococcus pneumoniae genes associated with invasive disease using pangenome-based whole genome sequence typing

Streptococcus pneumoniae is a normal commensal of the upper respiratory tract but can also invade the bloodstream or CSF (cerebrospinal fluid), causing invasive pneumococcal disease (IPD). In this study, we attempt to identify genes associated with IPD by applying a random forest machine-learning algorithm to whole genome sequence (WGS) data. We find 43 genes consistently associated with IPD across three geographically distinct WGS data sets of pneumococcal carriage isolates. Of these genes, 23 genes have previously shown to be directly relevant to IPD, while the other 18 are uncharacterized.

bioinformatics↗