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Debarbieux, L.

Publications and source records attributed to Debarbieux, L..

At least 19 recordsLinked to original sources

Gnotobiotic OMM12 mice support sustained Clostridioides difficile colonization without antibiotic pretreatment

Antibiotic-induced disruption of the intestinal microbiota predispose individuals to Clostridioides difficile infection (CDI). Although several animal models reproduce acute CDI, sustained colonization in the presence of a defined resident microbiota remains challenging to study. Here, we show that gnotobiotic OMM12 mice support sustained colonization for at least 20 days following oral challenge with either the reference CD630{Delta}erm strain or the clinical R20291 (RT027) strain, without prior antibiotic treatment. Early infection induced transient weight loss, rapid intestinal inflammation and transient shifts in the relative abundance of resident bacterial species. By day 20, inflammatory markers had largely resolved, and the resident microbiota had shifted back towards its baseline composition, despite continued detection of C. difficile vegetative cells, spores and toxins. Early bacterial community perturbations were not accompanied by detectable changes in the resident prophage induction. Moreover, whole-genome sequencing of C. difficile clones recovered at day 20 showed no detectable gut-specific genomic adaptation relative to the inoculum. Similar colonization kinetics and clinical outcomes were observed across independent experiments conducted over five years, supporting the consistent reproducibility of this model. Together, OMM12 mice provide a defined, antibiotic-free and experimentally tractable framework to investigate host-microbiota-pathogen interactions during sustained C. difficile colonization and a robust platform for therapeutic development.

microbiology↗

DNA-damaging bacteriocins from human Escherichia coli intestinal isolates trigger prophage induction and promote lysogeny.

Lysogens - bacteria harbouring prophages - are prevalent in the human gut microbiota. Nevertheless, factors triggering induction or repression of prophages remain poorly characterized. Here, we studied the involvement of bacteriocins - antibacterials involved in bacteria-bacteria competition - in prophage induction. We screened a collection of 1,768 fecal Escherichia coli isolates for bacteriocin-producing strains and selected 30 to test their capacity to induce a {lambda}-related coliphage. In these, we identified 74 bacteriocin genes and demonstrate that only those coding a DNA-damaging bacteriocin trigger prophage induction. From one strain co-producing an E-type endonuclease colicin and the Mcc1229 microcin, we demonstrate that these colicins induce a broad panel of temperate phage genera. Assessing bacterial competition by pairwise cocultures between an E-type endonuclease-producing strain and a {lambda}-lysogen revealed enhanced prophage induction and increased emergence of new lysogens among the bacteriocin producers. Remarkably, while the {lambda}-lysogen was outcompeted by the E-type endonuclease colicin producer within 6 hours in vitro, both populations were maintained at comparable levels over 10 days in dixenic mice. This work reveals a dual role for DNA-damaging bacteriocins that kill competitors by prophage induction and propagate lysogeny.

microbiology↗

Bacteriophage PAK_P3 genome structuration and dynamics during infection of Pseudomonas aeruginosa reveal specific interactions patterns

Bacteriophages, or phages, are highly abundant and diverse genomic entities that play an important role in microbial ecology, evolution, and horizontal gene transfer. While the dynamic changes in genome organization in cellular organisms have been well described, the 3D folding of phage genomes during the infection of their host is extremely limited. Understanding how phage genomes fold, invade and rearrange the genome of their host to functionally organize the optimal expression of their genes remains unknown. Here, we explore the spatial dynamics of the virulent double-stranded DNA phage PAK_P3 during infection of its host Pseudomonas aeruginosa and reveal how its genome rapidly decondenses to adopt a specific 3D organization that reflects its transcriptional program. Concomitantly, the host genome decondenses as gene expression wanes and transcription induced domains vanish. We also uncover specific and discrete bridging of the host and the phage genomes, showing how the phage genome exploits the spatial genome architecture of its host to succeed in its infection cycle. Our data highlights an unprecedented level of genome folding and gene expression regulation during a viral infection.

microbiology↗

Amyloid signaling in antiphage defense

Immune regulated cell death (RCD) is a defense strategy common to different domains of life involving purposeful sacrifice of infected cells. In animals and fungi, functional amyloids play a role in the control of RCD as molecular switches activating key cell death effectors, rather than causing direct toxicity as seen with pathological amyloids. Here, we describe a novel amyloid-based signal transduction mechanism in an antiphage defense system in Escherichia coli. This antiphage abortive infection (Abi) system is mediated by two proteins, Bab and Agp which share a common amyloid motif and are encoded by adjacent genes. Upon phage infection, Agp activates Bab through amyloid signaling, leading to cell death. We determined the structure of the Bab cell death execution domain, which is distantly related to pore-forming domains present in fungi, animals and plants. We show that Bab and the fungal HET-S amyloid-controlled cell death execution protein are functionally interchangeable in their respective roles in antiphage defense and allorecognition. These findings add antiphage defense to the functional repertoire of amyloids.

microbiology↗

Phage-phage competition and biofilms reduce the efficacy of a combination of two virulent bacteriophages against Pseudomonas aeruginosa

Combined use of virulent bacteriophages (phages) and antibiotics reduces the severity of difficult-to-treat Pseudomonas aeruginosa infections in many patients. In vitro methods that attempt to reproduce more than one physiological state of the pathogens can provide a valuable assessment of antibacterials like phages. Here, by measuring bacterial killing kinetics and individual replication in different growth conditions, including biofilms and a human lung epithelial cell line, we elucidated factors influencing the efficacy of two virulent phages against P. aeruginosa PAO1. A single administration of phages effectively reduced the P. aeruginosa viability in planktonic conditions and infected human lung cell cultures, however, the emergence of phage-resistant variants occurred subsequently. In static biofilms, the phage combination displayed initial inhibition of biofilm dispersal, but sustained control was achieved only by combining phages and meropenem. In contrast, surface-attached biofilms exhibited tolerance to phage and/or meropenem, suggesting a spatiotemporal variation in the antibacterial effect. Moreover, the phage with the shorter lysis time lysed P. aeruginosa more rapidly and selected a specific nucleotide polymorphism that conferred a competitive disadvantage and cross-resistance to the second phage of the combination. The sequential addition of phages resulted in their unimpeded replication with no increase in bacteriolytic activity. These findings highlight biofilm developmental stages, phage-phage competition, and phage resistance as factors restricting the in vitro efficacy of a two-phage combination. Our findings provide a framework for selecting and optimizing phage combinations for enhanced efficacy against P. aeruginosa, a metabolically flexible pathogen that undergoes specific adaptation within the infected lung.

microbiology↗

Multi-strain phage induced clearance of bacterial infections

Bacteriophage (or phage - viruses that infect and kill bacteria) are increasingly considered as a therapeutic alternative to treat antibiotic-resistant bacterial infections. However, bacteria can evolve resistance to phage, presenting a significant challenge to the near- and long-term success of phage therapeutics. Application of mixtures of multiple phage (i.e., cocktails) have been proposed to limit the emergence of phage-resistant bacterial mutants that could lead to therapeutic failure. Here, we combine theory and computational models of in vivo phage therapy to study the efficacy of a phage cocktail, composed of two complementary phages motivated by the example of Pseudomonas aeruginosa facing two phages that exploit different surface receptors, LUZ19v and PAK P1. As confirmed in a Luria-Delbruck fluctuation test, this motivating example serves as a model for instances where bacteria are extremely unlikely to develop simultaneous resistance mutations against both phages. We then quantify therapeutic outcomes given single- or double-phage treatment models, as a function of phage traits and host immune strength. Building upon prior work showing monophage therapy efficacy in immunocompetent hosts, here we show that phage cocktails comprised of phage targeting independent bacterial receptors can improve treatment outcome in immunocompromised hosts and reduce the chance that pathogens simultaneously evolve resistance against phage combinations. The finding of phage cocktail efficacy is qualitatively robust to differences in virus-bacteria interactions and host immune dynamics. Altogether, the combined use of theory and computational analysis highlights the influence of viral life history traits and receptor complementarity when designing and deploying phage cocktails in immunocompetent and immunocompromised hosts.

microbiology↗

Metapopulation model of phage therapy of an acute Pseudomonas aeruginosa lung infection

Infections caused by multi-drug resistant (MDR) pathogenic bacteria are a global health threat. Phage therapy, which uses phage to kill bacterial pathogens, is increasingly used to treat patients infected by MDR bacteria. However, the therapeutic outcome of phage therapy may be limited by the emergence of phage resistance during treatment and/or by physical constraints that impede phage-bacteria interactions in vivo. In this work, we evaluate the role of lung spatial structure on the efficacy of phage therapy for Pseudomonas aeruginosa infection. To do so, we developed a spatially structured metapopulation network model based on the geometry of the bronchial tree, and included the emergence of phage-resistant bacterial mutants and host innate immune responses. We model the ecological interactions between bacteria, phage, and the host innate immune system at the airway (node) level. The model predicts the synergistic elimination of a P. aeruginosa infection due to the combined effects of phage and neutrophils given sufficiently active immune states and suitable phage life history traits. Moreover, the metapopulation model simulations predict that local MDR pathogens are cleared faster at distal nodes of the bronchial tree. Notably, image analysis of lung tissue time series from wild-type and lymphocyte-depleted mice (n=13) revealed a concordant, statistically significant pattern: infection intensity cleared in the bottom before the top of the lungs. Overall, the combined use of simulations and image analysis of in vivo experiments further supports the use of phage therapy for treating acute lung infections caused by P. aeruginosa while highlighting potential limits to therapy given a spatially structured environment, such as impaired innate immune responses and low phage efficacy.

microbiology↗

Macrophage-induced reduction of bacteriophage density limits the efficacy of in vivo pulmonary phage therapy

The rise of antimicrobial resistance has led to renewed interest in evaluating phage therapy. In murine models highly effective treatment of acute pneumonia caused by Pseudomonas aeruginosa relies on the synergistic antibacterial activity of bacteriophages with neutrophils. Here, we show that depletion of alveolar macrophages (AM) shortens the survival of mice without boosting the P. aeruginosa load in the lungs. Unexpectedly, upon bacteriophage treatment, pulmonary levels of P. aeruginosa were significantly lower in AM-depleted than in immunocompetent mice. To explore potential mechanisms underlying the benefit of AM-depletion in treated mice, we developed a mathematical model of phage, bacteria, and innate immune system dynamics. Simulations from the model fitted to data suggest that AM reduce bacteriophage density in the lungs. We experimentally confirmed that the in vivo decay of bacteriophage is faster in immunocompetent compared to AM-depleted animals and that AM phagocytize therapeutic bacteriophage. These findings demonstrate the involvement of feedback between bacteriophage, bacteria, and the immune system in shaping the outcomes of phage therapy in clinical settings.

microbiology↗

Predicting phage-bacteria interactions at the strain level from genomes

Predicting how phages can selectively infect specific bacterial strains holds promise for developing novel approaches to combat bacterial infections and better understanding microbial ecology. Experimental studies on phage-bacteria interactions have been mostly focusing on a few model organisms to understand the molecular mechanisms which makes a particular bacterial strain susceptible to a given phage. However, both bacteria and phages are extremely diverse in natural contexts. How well the concepts learned from well-established experimental models generalize to a broad diversity of what is encountered in the wild is currently unknown. Recent advances in genomics allow to identify traits involved in phage-host specificity, implying that these traits could be utilized for the prediction of such interactions. Here, we show that we could predict outcomes of most phage-bacteria interactions at the strain level in Escherichia natural isolates based solely on genomic data. First, we established a dataset of experimental outcomes of phage-bacteria interactions of 403 natural, phylogenetically diverse, Escherichia strains to 96 bacteriophages matched with fully sequenced and genomically characterized strains and phages. To predict these interactions, we set out to define genomic traits with predictive power. We show that most interactions in our dataset can be explained by adsorption factors as opposed to antiphage systems which play a marginal role. We then trained predictive algorithms to pinpoint which interactions could be accurately predicted and where future research should focus on. Finally, we show the application of such predictions by establishing a pipeline to recommend tailored phage cocktails to target pathogenic strains from their genomes only and show higher efficiency of tailored cocktails on a collection of 100 pathogenic E. coli isolates. Altogether, this work provides quantitative insights into understanding phage-host specificity at the strain level and paves the way for the use of predictive algorithms in phage therapy.

microbiology↗

Bacteriophages targeting protective commensals impair resistance against Salmonella Typhimurium infection in gnotobiotic mice

Gut microbial communities protect the host against a variety of major human gastrointestinal pathogens. Bacteriophages (phages) are ubiquitous in nature and frequently ingested via food and drinking water. Moreover, they are an attractive tool for microbiome engineering due to the lack of known serious adverse effects on the host. However, the functional role of phages within the gastrointestinal microbiome remain poorly understood. Here, we investigated the effects of microbiota-directed phages on infection with the human enteric pathogen Salmonella enterica serovar Typhimurium (S. Tm), using a gnotobiotic mouse model (OMM12) for colonization resistance (CR). We show that phage cocktails targeting Escherichia coli and Enterococcus faecalis acted in a strain-specific manner. They transiently reduced the population density of their respective target before establishing coexistence for up to 9 days. Infection susceptibility to S. Tm was markedly increased at an early time point after phage challenge. Surprisingly, OMM12 mice were more susceptible 7 days after a single phage inoculation, when the targeted bacterial populations were back to pre-phage administration density. The presence of phages that dynamically modulates the density of protective members of the gut microbiota provides opportunities for invasion of bacterial pathogens.

microbiology↗

Variable effects on virulence of bacteriophage resistance mechanisms in extraintestinal pathogenic Escherichia coli

AO_SCPLOWBSTRACTC_SCPLOWBacteria exposed to killing agents such as antibiotics or viruses develop resistance. While phage therapy, the use of bacteriophages (phages) for treating bacterial infections, is proposed to answer the antibiotic resistance crisis, bacterial resistance to phages remains poorly characterized during phage treatment. We studied a large population of phage-resistant extra-intestinal pathogenic Escherichia coli 536 clones emerging from both in vitro (non-limited liquid medium) and in vivo (murine pneumonia) conditions. Genome sequencing revealed a mutational convergence of phage resistance mechanisms towards the modification of two cell-wall components, the K15 capsule and the LPS, whatever the condition, showing that their identification could be predicted from the in vitro conditions. The fitness cost of all phage resistant clones was broad in terms of growth rate and resistance to grazing by amoeba and could not discriminate K15 capsule to LPS mutants. By contrast, the virulence of the clones tested in mice showed that K15 capsule mutants were as virulent as the wildtype strain while LPS mutants were strongly attenuated. We also found that resistance to one phage led to the sensitization to other phages. In clinics, to control phage-resistant clones that remains virulent phage cocktail should include phages infecting both phage susceptible and future phage resistant clones. ImportanceEscherichia coli is a leading cause of life-threatening infections, including pneumonia acquired during ventilatory assistance for patients hospitalized in Intensive Care Unit, and a major multidrug resistant pathogen. A century-old concept, phage therapy (i.e. using specific anti-bacterial viruses), is being clinically re-evaluated supported with hundreds of successful compassionate phage treatments. However, along billions of years of coevolution bacteria have developed many ways to resist to phages. Phage resistance occurring during phage therapy remains often overlooked despite its critical role for a successful outcome. During this work we characterized phage resistant mutants in a virulent extra-intestinal pathogenic E coli strain and found that (1) phage resistance taking place during a phage treatment in vivo could be predicted from an in vitro assay; (2) phage resistance has, often but not always, a major fitness cost in terms of virulence; and (3) could be countered by appropriate cocktails of phages.

microbiology↗

The selection of antibiotic- and bacteriophage-resistant Pseudomonas aeruginosa is prevented by their combination

ObjectivesBacteria developing resistance compromise the efficacy of antibiotics or bacteriophages (phages). We tested the association of these two antibacterials to circumvent resistance. MethodsWith the Hollow Fiber Infection Model (HFIM), we mimicked the concentration profile of ciprofloxacin in the lungs of patients treated orally for Pseudomonas aeruginosa infections and independently, mimicked a single inhaled administration of phages (one or two phages). ResultsEach treatment selects for antibiotic-or phage-resistant clones in less than 30 h. By contrast, no bacteria were recovered from the HFIM at 72 h when ciprofloxacin was started 4 h post-phage administration, even when increasing the initial bacterial concentration by a 1000 fold. ConclusionThe combination of phages with antibiotics used according to clinical regimens prevents the growth of resistant clones, providing opportunities to downscale the use of multiple antibiotics.

microbiology↗

Chromosome folding and prophage activation reveal gut-specific genome dynamics of bacteria in the OMM12 consortium

Bacteria and their viruses, bacteriophages, are the most abundant entities of the gut microbiota, a complex community of microorganisms associated with human health and disease. In this ecosystem the interactions between these two key components are still largely unknown. In particular, the impact of the gut environment on bacteria and their associated prophages is yet to be deciphered. To gain insight into the activity of lysogenic phages within the context of their host genomes, we performed Hi-C on the 12 strains of the OMM12 synthetic bacterial community stably associated within mice gut (gnotobiotic mouse line OMM12) in both in vitro and in vivo conditions. High-resolution contact maps of the chromosome 3D organization of the bacterial genomes revealed a wide diversity of architectures, differences between environments and an overall stability over time in the gut of mice. The DNA contacts also pointed at 3D signatures of prophages leading to predict 16 of them as functional. We identified circularization signals and observed different 3D patterns depending on the condition. Concurrent virome analysis showed that 11 of these prophages produced viral particles in vivo and/or in vitro, and that OMM12 mice do not carry other intestinal viruses. By predicting functional prophages, the Hi-C approach unlocks the study of phage-bacteria interaction dynamics.

microbiology↗

Combination of in vivo phage therapy data with in silico model highlights key parameters for treatment efficacy

The clinical (re)development of phage therapy to treat antibiotic resistant infections requires grasping specific biological properties of bacteriophages (phages) as antibacterial. However, identification of optimal dosing regimens is hampered by the poor understanding of phage-bacteria interactions in vivo. Here we developed a general strategy coupling in vitro and in vivo experiments with a mathematical model to characterize the interplay between phage and bacterial dynamics during pneumonia induced by a pathogenic strain of Escherichia coli. The model estimates some key parameters for phage therapeutic efficacy, in particular the impact of dose and route of administration on phage dynamics and the synergism of phage and the innate immune response on the bacterial clearance rate. Simulations predict a low impact of the intrinsic phage characteristics in agreement with the current semi-empirical choices of phages for compassionate treatments. Model-based approaches will foster the deployment of future phage therapy clinical trials.

microbiology↗

Optimizing the Timing and Composition of Therapeutic Phage Cocktails: A Control-theoretic Approach

Viruses that infect bacteria, i.e., bacteriophage or phage, are increasingly considered as treatment options for the control and clearance of bacterial infections, particularly as compassionate use therapy for multi-drug resistant infections. In practice, clinical use of phage often involves the application of multiple therapeutic phage, either together or sequentially. However, the selection and timing of therapeutic phage delivery remains largely ad hoc. In this study, we evaluate principles underlying why careful application of multiple phage (i.e., a cocktail) might lead to therapeutic success in contrast to the failure of single-strain phage therapy to control an infection. First, we use a nonlinear dynamics model of within-host interactions to show that a combination of fast intra-host phage decay, evolution of phage resistance amongst bacteria, and/or compromised immune response might limit the effectiveness of single-strain phage therapy. To resolve these problems, we combine dynamical modeling of phage, bacteria, and host immune cell populations with control-theoretic principles (via optimal control theory) to devise evolutionarily robust phage cocktails and delivery schedules to control the bacterial populations. Our numerical results suggest that optimal administration of single-strain phage therapy may be sufficient for curative outcomes in immunocompetent patients, but may fail in immunodeficient hosts due to phage resistance. We show that optimized treatment with a two-phage cocktail that includes a counter-resistant phage can restore therapeutic efficacy in immunodeficient hosts.

microbiology↗

The spatial heterogeneity of the gut limits bacteriophage predation leading to the coexistence of antagonist populations of bacteria and their viruses

Bacteria and their viruses, bacteriophages (phages), are the most abundant components of the mammalian gut microbiota where these two entities coexist over time. The ecological dynamics underlying the coexistence between these two antagonistic populations in the gut are unknown. We challenged a murine synthetic bacterial community with a set of virulent phages, to study the factors allowing phages-bacteria coexistence in the gut. We found that coexistence was neither dependent on an arms race between bacteria and phages, nor on the ability of phages to extend host range. Instead, our data suggest that some phage-inaccessible sites in the mucosa of the ileum serve as a spatial refuge for bacteria, which from there disseminate in the gut lumen. Luminal phages amplify by infecting luminal bacteria maintaining phage throughout the gut. We conclude that the heterogeneous distribution of microbes in the gut contributes to the long-term coexistence of phages with phage-susceptible bacteria. This observation could explain the persistence in the human gut of intestinal phages, such as the crAssphage, as well as the low efficiency of oral phage therapy against enteric pathogens in animal models and clinical trials.

microbiology↗

Human neutrophil response to Pseudomonas bacteriophages

The immune system offers several mechanisms of response to remove harmful microbes that invade the human body. As a first line of defense, neutrophils can remove pathogens by phagocytosis, inactivate them by the release of reactive oxygen species (ROS) or immobilize them by neutrophil extracellular traps (NETs). Although, recent studies have shown that bacteriophages (phages) make up a large portion of human microbiomes and are currently being explored as human antibacterial therapeutics, neutrophilic responses to phages are still elusive. Here, we show that exposure of isolated human resting neutrophils to high concentration of the Pseudomonas phage PAK_P1 led to a 2.8 fold increase in interleukin-8 (IL-8) secretion. Importantly, phage exposure did not further affect resting neutrophil apoptosis or induce necrosis, CD11 expression, oxidative burst, and NETs. Similarly, inflammatory stimuli activated neutrophil effector responses were unaffected by phage exposure. Our work suggest that phages are unlikely to inadvertently cause excessive neutrophil responses that could damage tissues and worsen disease. Because IL-8 functions as a chemoattractant directing immune cells to sites of infection and inflammation, phage-stimulated IL-8 production may boost host immune responses.

immunology↗

Comparative transcriptomics reveals a conserved Bacterial Adaptive Phage Response (BAPR) to viral predation

Intrinsic and acquired defenses against bacteriophages, including Restriction/Modification, CRISPR/Cas, and Toxin/Anti-toxin systems have been intensely studied, with profound scientific impacts. However, adaptive defenses against phage infection analogous to adaptive resistance to antimicrobials have yet to be described. To identify such mechanisms, we applied an RNAseq-based, comparative transcriptomics approach in different Pseudomonas aeruginosa strains after independent infection by a set of divergent virulent bacteriophages. A common host-mediated adaptive stress response to phages was identified that includes the Pseudomonas Quinolone Signal, through which infected cells inform their neighbors of infection, and what may be a resistance mechanism that functions by reducing infection vigor. With host transcriptional machinery left intact, we also observe phage-mediated differential expression caused by phage-specific stresses and molecular mechanisms. These responses suggest the presence of a conserved Bacterial Adaptive Phage Response mechanism as a novel type of host defense mechanism, and which may explain transient forms of phage persistence.

microbiology↗