Project description:The innate immune system provides the first response to pathogen infection and orchestrates the activation of the adaptive immune system. Though a large component of the innate immune response is common to all infections, pathogen-specific innate immune responses have been documented as well. The innate immune response is thought to be especially critical for fighting infection with Mycobacterium tuberculosis (MTB), the causative agent of tuberculosis (TB). While TB can be a deadly disease, only 5-10% of individuals infected with MTB develop active disease, and this inter-individual variation is, at least partly, heritable. Studies of inter-individual variation in the innate immune response to MTB infection may therefore shed light on the genetic basis for variation in susceptibility to TB. Yet, to date, we still do not know which properties of the innate immune response are specific to MTB infection and which represent a general response to pathogen infection. To begin addressing this gap, we infected macrophages with eight different bacterial pathogens, including different MTB strains and related mycobacteria, and studied the transcriptional response to infection. We found that although the gene expression changes were largely consistent across the bacterial infection treatments, we were able to identify a novel subset of genes whose regulation was affected specifically by infection with mycobacteria. Genetic variants that are associated with regulatory differences in these genes should be considered candidate loci for explaining inter-individual susceptibility TB. RNA-seq of monocyte-derived macrophages isolated from 6 healthy European males at 4, 18, and 48 hours post-infection with the following 8 bacteria: Mycobacterium tuberculosis (MTB) H37Rv, Mycobacterium tuberculosis GC1237, MTB GC1237, bacillus Calmette-Guérin (BCG), Mycobacterium smegmatis, Yersinia pseudotuberculosis, Salmonella typhimurium, and Staphylococcus epidermidis. table-s1.txt is a tab-delimited text file that contains the batch-corrected log2 counts per million for each of the 156 samples, as well as the Ensembl gene ID and gene name. BCG = bacillus Calmette-Guérin GC = Mycobacterium tuberculosis GC1237 Rv = Mycobacterium tuberculosis (MTB) H37Rv Rv+ = heat-inactivated MTB H37Rv Salm = Salmonella typhimurium Smeg = Mycobacterium smegmatis Staph = Staphylococcus epidermidis Yers = Yersinia pseudotuberculosis

Project description:Restif2006 - Whooping cough This model is described in the article: Integrating life history and cross-immunity into the evolutionary dynamics of pathogens. Restif O, Grenfell BT. Proc. Biol. Sci. 2006 Feb; 273(1585): 409-416 Abstract: Models for the diversity and evolution of pathogens have branched into two main directions: the adaptive dynamics of quantitative life-history traits (notably virulence) and the maintenance and invasion of multiple, antigenically diverse strains that interact with the host's immune memory. In a first attempt to reconcile these two approaches, we developed a simple modelling framework where two strains of pathogens, defined by a pair of life-history traits (infectious period and infectivity), interfere through a given level of cross-immunity. We used whooping cough as a potential example, but the framework proposed here could be applied to other acute infectious diseases. Specifically, we analysed the effects of these parameters on the invasion dynamics of one strain into a population, where the second strain is endemic. Whereas the deterministic version of the model converges towards stable coexistence of the two strains in most cases, stochastic simulations showed that transient epidemic dynamics can cause the extinction of either strain. Thus ecological dynamics, modulated by the immune parameters, eventually determine the adaptive value of different pathogen genotypes. We advocate an integrative view of pathogen dynamics at the crossroads of immunology, epidemiology and evolution, as a way towards efficient control of infectious diseases. This version of the model can be used for both the stochastic and the deterministic simulations described in the article. For deterministic interpretations with infinite population sizes, set the population size N = 1. The model reproduces the deterministic time courses. Stochastic interpretation with Copasi UI gave results similar to the article, but was not extensively tested. The initial conditions for competition simulations can be derived by equilibrating the system for one pathogen and then adding a starting concentration for the other. Originally created by libAntimony v1.3 (using libSBML 4.1.0-b1) This model is hosted on BioModels Database and identified by: BIOMD0000000249. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Background: It has been shown that intracellular pathogens hijack DC functions to evade immune defense mechanisms. In this study, we investigated the responses of human monocyte derived DCs to four intracellular bacteria, Tropheryma whipplei, Coxiella burnetii, Brucella abortus and Orientia tsutsugamushi, responsible for human infectious diseases and known to infect myeloid cells. Methods: Whole genome microarrays were assessed to define common and specific transcriptionnal responses to bacterial pathogen. Bacterial pathogen ability to affect DC maturation was assessed by measuring lymphoproliferation and endocytosis as well as phenotypic maturation markers (CD80, CD83, CD86 and HLA-DR) expression. Results: We found that Coxiella burnetii, Orientia tsutsugamushi and Brucella abortus induced DC maturation assessed through decreased endocytosis ability, triggering lymphoproliferation, surface expression of HLA class II molecules and phenotypic changes, whereas Tropheryma whipplei did not induce DC maturation. As revealed by microarray analysis, the response of DCs to these bacteria consisted of a core associated with the maturation of DCs and signatures specific for each pathogen. The core response represented 10% of genes modulated in response to pathogens and consisted of general cellular processes including nucleotide binding, protein transport, cell fraction, protein kinase, cell cycle, mitochondrial membrane and cytoskeleton. The specific transcriptional signature induced by C. burnetii is associated with the communication between innate and adaptive immune cells and DC maturation. B. abortus signature specifically involved arachidonic acid and lipooxygenase pathways and O. tsutsugamushi signature involved type I and type III IFN responses. Conclusion: This study demonstrates that intracellular bacteria use multifaceted pathways to induce DC maturation which may lead to unadapted immune response. The understanding of these pathways may be useful to improve our knowledge of bacterial recognition by the immune system but also intracellular bacterial diseases. IL4/GM-CSF monocyte-derived dendritic cells were stimulated by T. whipplei, B. abortus, C. burnetii, O. tsutsugamushi and LPS during 6 hours. Common and specific signatures were determined by comparison with uninfected DCs. moDCs (5.10^6) were plated in 6 well plates and stimulated with bacteria or LPS for 6 hours, and total RNA was extracted using the RNeasy minikit (Qiagen, adresse CA) and DNase treatment. The Agilent-014850 4X44k Human Whole Genome microarrays (Agilent Technologies, CA) representing 44,000 probes were used as recently described. Reverse transcription, sample labeling and hybridization were performed according to protocols specified by the manufacturer (One-Color Microarray-Based Gene Expression Analysis). Three samples per experimental condition were included in the analysis.

Project description:Background: It has been shown that intracellular pathogens hijack DC functions to evade immune defense mechanisms. In this study, we investigated the responses of human monocyte derived DCs to four intracellular bacteria, Tropheryma whipplei, Coxiella burnetii, Brucella abortus and Orientia tsutsugamushi, responsible for human infectious diseases and known to infect myeloid cells. Methods: Whole genome microarrays were assessed to define common and specific transcriptionnal responses to bacterial pathogen. Bacterial pathogen ability to affect DC maturation was assessed by measuring lymphoproliferation and endocytosis as well as phenotypic maturation markers (CD80, CD83, CD86 and HLA-DR) expression. Results: We found that Coxiella burnetii, Orientia tsutsugamushi and Brucella abortus induced DC maturation assessed through decreased endocytosis ability, triggering lymphoproliferation, surface expression of HLA class II molecules and phenotypic changes, whereas Tropheryma whipplei did not induce DC maturation. As revealed by microarray analysis, the response of DCs to these bacteria consisted of a core associated with the maturation of DCs and signatures specific for each pathogen. The core response represented 10% of genes modulated in response to pathogens and consisted of general cellular processes including nucleotide binding, protein transport, cell fraction, protein kinase, cell cycle, mitochondrial membrane and cytoskeleton. The specific transcriptional signature induced by C. burnetii is associated with the communication between innate and adaptive immune cells and DC maturation. B. abortus signature specifically involved arachidonic acid and lipooxygenase pathways and O. tsutsugamushi signature involved type I and type III IFN responses. Conclusion: This study demonstrates that intracellular bacteria use multifaceted pathways to induce DC maturation which may lead to unadapted immune response. The understanding of these pathways may be useful to improve our knowledge of bacterial recognition by the immune system but also intracellular bacterial diseases.

Project description:BACKGROUND: Social insects, such as honey bees, use molecular, physiological and behavioral responses to combat pathogens and parasites. The honey bee genome contains all of the canonical insect immune response pathways, and several studies have demonstrated that pathogens can activate expression of immune effectors. Honey bees also use behavioral responses, termed social immunity, to collectively defend their hives from pathogens and parasites. These responses include hygienic behavior (where workers remove diseased brood) and allo-grooming (where workers remove ectoparasites from nestmates). We have previously demonstrated that immunostimulation causes changes in the cuticular hydrocarbon profiles of workers, which results in altered worker-worker social interactions. Thus, cuticular hydrocarbons may enable workers to identify sick nestmates, and adjust their behavior in response. Here, we test the specificity of behavioral, chemical and genomic responses to immunostimulation by challenging workers with a panel of different immune stimulants (saline, Sephadex beads and Gram-negative bacteria E. coli). RESULTS: While only bacteria-injected bees elicited altered behavioral responses from healthy nestmates compared to controls, all treatments resulted in significant changes in cuticular hydrocarbon profiles. Immunostimulation caused significant changes in expression of hundreds of genes, the majority of which have not been identified as members of the canonical immune response pathways. Furthermore, several new candidate genes that may play a role in cuticular hydrocarbon biosynthesis were identified. Finally, we identified common genes regulated by pathogen challenge in honey bees and other insects, suggesting that immune responses are conserved at the molecular level. CONCLUSIONS: These studies suggest that honey bee genomic responses to immunostimulation are substantially broader than expected, and may mediate the behavioral changes associated with social immunity by orchestrating changes in chemical signaling.

Project description:In the past decade, the paradigm which claimed that invertebrate immune systems lack specificity has been reconsidered. Accumulating evidence supports that invertebrate immune systems are able to mount specific responses to the pathogen species-, and even to the pathogen strain-level. However, the underlying molecular mechanisms behind invertebrate immune specificity remain mostly unknown. Studying the molecular basis of invertebrate immune specificity in a genetically tractable model, such as the nematode Caenorhabditis elegans, has the potential to reveal insights into the immune systems of other metazoans, including humans. We chose to study the mechanisms of specific immune responses of the worm to two different pathogenic strains of the Gram-positive bacterium Bacillus thuringiensis (MYBY18247 and MYBT18679), because there is phenotypic evidence of specific genotype-genotype interactions between this host-pathogen pair. We did an initial RNA-Seq experiment upon pathogen exposure and found that 9% of the differentially expressed genes change their expression in different ways when comparing the two pathogen strains. Through promoter region motif enrichment analysis, we found the GATA transcription factor ELT-2 is responsible for the pathogen strain-specific transcriptomic response. Upon elt-2 knockdown worms exposed to MYBT18679 display lower survival rate coupled with higher intestinal damage than non-infected controls. Additionally, by performing further genetic analysis using gene knockdown and knockout, we found that the p38 MAPK pathway acts likely in parallel to elt-2 and the transcription factor skn-1 cooperates with elt-2 to promote resistance to MYBT18679. On the other hand, elt-2 knockdown leads to a substantially higher survival rate, together with lower intestinal tissue damage compared to control worms, upon exposure to MYBT18247, another pathogenic Bacillus thuringiensis strain. The MYBT18247 pathogen load of elt-2(RNAi) worms compared to control worms remained unchanged, suggesting the elt-2 negatively regulates tolerance towards MYBT18247. We found that tolerance to MYBT18247 was positively regulated by the transcription factors: FOXO daf-16, bZip zip-2, nhr-99 and nhr-193. To identify elt-2 negatively-regulated downstream targets that could promote tolerance to MYBT18247, we performed a second RNA-Seq experiment, this time including elt-2(RNAi) worms exposed to both pathogenic strains. We found four genes negatively regulated by elt-2: cdr-2, poml-3, dhs-30 and tre-3, with putative function in detoxification and lipid metabolism, which can mediate tolerance to MYBT18247. We conclude that ELT-2 coordinates strain-specific immune responses in this invertebrate host and promotes resistance upon exposure to MYBT18679, while it negatively regulates tolerance to MYBT18247. The response is likely to be specific to the crystal pore-forming toxins produced by this pathogen.

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Differential proteome profiling of bacterial culture supernatants reveals candidates for the induction of oral immune priming in the Red Flour Beetle

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Differential proteome profiling of bacterial culture supernatants reveals candidates for the induction of oral immune priming in the red flour beetle.

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