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Peno, C.

Publications and source records attributed to Peno, C..

5 recordsLinked to original sources
bioRxiv2025

Storage stability of non-encapsulated pneumococci in saliva is dependent on null-capsule clade, with strains carrying aliC and aliD showing a competitive disadvantage during culture enrichment

BackgroundNon-encapsulated Streptococcus pneumoniae (NESp) represent up to 19% of circulating pneumococci and exhibit high rates of antimicrobial resistance. Saliva is increasingly used as a pneumococcal carriage study specimen, and we recently developed a qPCR assay to enhance carriage surveillance and characterization of NESpn in saliva. Previous work has established that pneumococci remain viable in unsupplemented saliva for extended periods under various conditions, however these findings may not be applicable to NESp. Therefore, to ensure the robustness of NESp detection in saliva-based carriage studies we evaluated the impact of transport and storage conditions of saliva samples on NESp detection. MethodsSix NESp strains from two clinically relevant NESp null capsule clades (NCC), NCC1 (carrying pspK) and NCC2 (carrying aliC and aliD), were spiked into lytA-negative saliva and incubated through various temperatures and freeze-thaw conditions. Endpoints were processed using either culture-enrichment and DNA extraction (CE-DNA), or an extraction-free method without CE, before testing for lytA using qPCR. Detection stability was assessed using regression modelling over temperature, time and freeze-thaws. ResultsFollowing CE-DNA, detection of NESp remained stable for [≤]24 or [≤]72 hours when stored at room temperature or 4{degrees}C, respectively, and over 2 freeze-thaw cycles (-80{degrees}C), with glycerol-supplementation providing slight benefits. Stability of detection when using CE-DNA depended on NCC; detection of NCC2 strains was lower, and less stable than NCC1. Compared to CE-DNA, extraction-free detection was more stable, with no significant loss over 72 hours at room temperature and over 3 freeze-thaw cycles. With extraction-free detection, there were also negligible diderences in detection between NCC1 and NCC2. Additionally, extraction-free detection of NCC1, and less so NCC2, increased over the first 24 hours when stored at 20-30{degrees}C, suggesting growth in saliva. Testing of{Delta} aliCaliD and{Delta} pspK mutants revealed these genes increased in vitro viability of NCC2 and NCC1, respectively, but did not significantly alter competitive fitness during CE. ConclusionNCC1 NESp strains exhibit similar stability patterns in unsupplemented saliva as encapsulated pneumococci. NCC2 strains, however, are less resilient during CE, likely due to competition with other oral microbes. Therefore, recovery of NCC2 NESp may be impacted by transport and storage conditions, leading to an underestimation of carriage prevalence when tested using CE-based methods. For the reliable carriage surveillance of NESp, samples should be stored at 4{degrees}C soon after collection and at -80{degrees}C within 72 hours. Methods which directly detect DNA without CE may provide a less biased accounting of NCC2 strains.

microbiology↗
bioRxiv2025

Integrative Mapping of Pre-existing Immune Landscapes for Vaccine Response Prediction

Predicting individual vaccine responses remains a significant challenge due to the complexity and variability of immune processes. To address this gap, we developed immunaut, an open-source, data-driven framework implemented as an R package specifically designed for all systems vaccinologists seeking to analyze and predict immunological outcomes across diverse vaccination settings. Leveraging one of the most comprehensive live attenuated influenza vaccine (LAIV) datasets to date - 244 Gambian children enrolled in a phase 4 immunogenicity study - immunaut integrates humoral, mucosal, cellular, transcriptomic, and microbiological parameters collected before and after vaccination, providing an unprecedentedly holistic view of LAIV-induced immunity. Through advanced dimensionality reduction, clustering, and predictive modeling, immunaut identifies distinct immunophenotypic responder profiles and their underlying baseline determinants. In this study, immunaut delineated three immunophenotypes: (1) CD8 T-cell responders, marked by strong baseline mucosal immunity and extensive prior influenza virus exposure that boosts memory CD8 T-cell responses, without generating influenza virus-specific antibody responses; (2) Mucosal responders, characterized by pre-existing systemic influenza A virus immunity (specifically to H3N2) and stable epithelial integrity, leading to potent mucosal IgA expansions and subsequent seroconversion to influenza B virus; and (3) Systemic, broad influenza A virus responders, who start with relatively naive immunity and leverage greater initial viral replication to drive broad systemic antibody responses against multiple influenza A virus variants beyond those included in the LAIV vaccine. By integrating pathway-level analysis, model-derived contribution scores, and hierarchical decision rules, immunaut elucidates how distinct immunological landscapes shape each response trajectory and how key baseline features, including pre-existing immunity, mucosal preparedness, and cellular support, dictate vaccine outcomes. Collectively, these findings emphasize the power of integrative, predictive frameworks to advance precision vaccinology, and highlight immunaut as a versatile, community-available resource for optimizing immunization strategies across diverse populations and vaccine platforms. One-Sentence SummaryUsing one of the most comprehensive LAIV datasets compiled to date, immunaut, an integrative machine learning framework, identifies distinct immunophenotypic responder groups shaped by baseline immune landscapes, advancing precision vaccinology and guiding more effective, personalized immunization strategies. Graphical abstractImmunaut, an automated framework for mapping and predicting vaccine response immunotypes. Step 1 outlines the identification of vaccine response outcomes using pre- and post-vaccination data integration across immune features, including antibodies, flu-specific T-cells, and immunophenotyping at mucosal and systemic sites. Clustering methods define the vaccine response landscape, stability, and validation through t-SNE-based visualization. Step 2 leverages an automated machine learning modeling approach, to enhance the accuracy and interpretability of vaccine response predictions, enabling stratification and targeted intervention strategies for personalized vaccine immunogenicity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/634302v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@62276corg.highwire.dtl.DTLVardef@a5f25org.highwire.dtl.DTLVardef@eca34borg.highwire.dtl.DTLVardef@1d4999b_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗
bioRxiv2023

Pan-genome study underling the extent of genomic variation of invasive Streptococcus pneumoniae in Malawi

AbstractStreptococcus pneumoniae is a common cause of acute bacterial infections in Malawi. Understanding the molecular mechanisms underlying its invasive behavior is crucial for designing new therapeutic strategies. We conducted a pan-genome analysis to identify potential virulence genes in S. pneumoniae by comparing the gene pool of isolates from carriers nasopharyngeal secretions to isolates from the blood and cerebrospinal fluid of patients. Our analysis involved 1,477 pneumococcal isolates from Malawi, comprising 825 samples from carriers (nasopharyngeal swab) and 652 from patients (368 from blood and 284 from cerebrospinal fluid). We identified 56 serotypes in the cohort. While most serotypes exhibited a similar prevalence in both carriage and disease groups, serotypes 1 and 5, the most abundant serotypes in the entire cohort, were significantly more commonly detected in specimens from patients compared to the carriage group. This difference is presumably due to their shorter nasopharyngeal colonization period. Furthermore, these serotypes displayed genetic distinctiveness from other serotypes. A magnificent genetic difference was observed in the absence of genes from the RD8a genomic island in serotypes 1 and 5 compared to significantly prevalent serotypes in the nasopharynx. RD8a genes play pivotal roles in binding to epithelial cells and performing aerobic respiration to synthesize ATP through oxidative phosphorylation. The absence of RD8a from serotypes 1 and 5 may be associated with a shorter duration in the nasopharynx, theoretically due to a reduced capacity to bind to epithelial cells and access free oxygen molecules required for aerobic respiration (essential to maintain the carriage state). Serotypes 1 and 5, significantly harbor operons that encode phosphoenolpyruvate phosphotransferase systems, which might relate to transporting carbohydrates, relying on phosphoenolpyruvate as the energy source instead of ATP. In conclusion, serotypes 1 and 5 as the most prevalent invasive pneumococcal strains in Malawi, displayed considerable genetic divergence from other strains, which may offer insights into their invasiveness and potential avenues for further research. Author summaryDespite introducing the pneumococcal conjugate vaccine in 2011, Streptococcus pneumoniae remains a major cause of bacterial infection in Malawi. Whilst some pneumococcal strains harmlessly colonize the nasopharynx, others find their way into normally sterile sites, such as lungs, blood, and nervous system, resulting in serious illness. Our study identified specific pneumococcal serotypes as the most invasive in Malawi, characterized by a short colonization period and significant genetic distinctiveness from other strains. This genetic divergence notably included the absence of several genes associated with aerobic respiration and the presence of genes facilitating ATP-independent carbohydrate transport. The presence or absence of these genes may underlie their heightened invasiveness and shorter colonization period. This hypothesis positions these genes as potential candidates for future therapeutic research. We propose that the specific gene gain and/or loss in invasive versus other serotypes may be linked to the development of invasive pneumococcal diseases. Impact StatementOur research applied pan-genomics principles to comprehensively assess diversity within the pneumococcus genome, with the primary objective of identifying pneumococcal virulence genes for advancing vaccine design and drug development. Within this study, we identified Serotypes 1 and 5 as the predominant and highly invasive pneumococcal strains in Malawi, characterized by a short nasopharyngeal colonization period, suggesting their potential for rapid infection of sterile sites within the human body such as blood and the central nervous system. These serotypes exhibited significant genetic divergence from other serotypes in Malawi, notably lacking key genes within the RD8a operon while harboring transporters functioning independently of ATP. Its important to note that these findings are based on computational analysis, and further validation through laboratory experiments is essential to confirm their biological significance and potential clinical applications. The implications of our research offer potential avenues for more effective pneumococcal disease prevention and treatment, not only in Malawi but also in regions facing similar challenges.

microbiology↗
bioRxiv2020

Genomic investigation of a suspected multi-drug resistant Klebsiella pneumoniae outbreak in a neonatal care unit in sub-Saharan Africa

A suspected outbreak of multi-drug resistant (MDR) Klebsiella pneumoniae in a Malawian neonatal unit was investigated using whole-genome sequencing. Strain-types, virulence and resistance genes of K. pneumoniae isolated from patients from the hospital over a four-year period were identified. A MDR ST340 clone was implicated as the likely outbreak cause.

genomics↗