Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1067813 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR27718000_1.fastq.gz | Fastqsanger.gz | |||
| SRR27718000_2.fastq.gz | Fastqsanger.gz | |||
| SRR27718100_1.fastq.gz | Fastqsanger.gz | |||
| SRR27718100_2.fastq.gz | Fastqsanger.gz |
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Project description:Hypervirulent epidemic strains of Clostridium difficile (C. difficile), referred to as NAPI/027, express an additional virulence factor, binary toxin (CDT), and are associated with more severe disease. Emerging evidence indicates gut immunity to C. difficile is a delicate balance between protection and pathology. To identify potential therapeutic host immune targets, we conducted a transcriptome analysis of host genes altered by NAPI/027 infection and identified interleukin-33 (IL-33) as a candidate immune target. Using a murine model, we show that both endogenous IL-33 and exogenous IL-33 treatment protect from the enhanced mortality, weight-loss and tissue pathology which is characteristic of hypervirulent C. difficile. IL-33 mediated protection was elicited through type-2 innate lymphoid cells (ILC2s) and adoptive transfer of purified ILC2s was sufficient to mitigate CDI- associated mortality and weight-loss. Furthermore, dysregulated IL-33 signaling via the soluble IL-33 decoy receptor (sST2) predicted disease severity and mortality in human patients. Lastly, colonic IL-33 expression appears to be regulated by the microbiota as antibiotic- depletion of IL-33 was rescued with mouse fecal microbiota transplant (FMT) and a human fecal spore preparation (HSP). Thus, IL-33 signaling is a novel therapeutic pathway for severe CDI which can potentially be targeted with rationally designed microbial therapies.
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Project description:Leber2015 - Mucosal immunity and gut
microbiome interaction during C. difficile infection
This model is described in the article:
Systems Modeling of
Interactions between Mucosal Immunity and the Gut Microbiome
during Clostridium difficile Infection.
Leber A, Viladomiu M, Hontecillas R,
Abedi V, Philipson C, Hoops S, Howard B, Bassaganya-Riera
J.
PLoS ONE 2015; 10(7): e0134849
Abstract:
Clostridium difficile infections are associated with the use
of broad-spectrum antibiotics and result in an exuberant
inflammatory response, leading to nosocomial diarrhea, colitis
and even death. To better understand the dynamics of mucosal
immunity during C. difficile infection from initiation through
expansion to resolution, we built a computational model of the
mucosal immune response to the bacterium. The model was
calibrated using data from a mouse model of C. difficile
infection. The model demonstrates a crucial role of T helper 17
(Th17) effector responses in the colonic lamina propria and
luminal commensal bacteria populations in the clearance of C.
difficile and colonic pathology, whereas regulatory T (Treg)
cells responses are associated with the recovery phase. In
addition, the production of anti-microbial peptides by inflamed
epithelial cells and activated neutrophils in response to C.
difficile infection inhibit the re-growth of beneficial
commensal bacterial species. Computational simulations suggest
that the removal of neutrophil and epithelial cell derived
anti-microbial inhibitions, separately and together, on
commensal bacterial regrowth promote recovery and minimize
colonic inflammatory pathology. Simulation results predict a
decrease in colonic inflammatory markers, such as neutrophilic
influx and Th17 cells in the colonic lamina propria, and length
of infection with accelerated commensal bacteria re-growth
through altered anti-microbial inhibition. Computational
modeling provides novel insights on the therapeutic value of
repopulating the colonic microbiome and inducing regulatory
mucosal immune responses during C. difficile infection. Thus,
modeling mucosal immunity-gut microbiota interactions has the
potential to guide the development of targeted fecal
transplantation therapies in the context of precision medicine
interventions.
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2016-02-04 | PXD003167 | Pride
Project description:Improved understanding of the interplay between host and microbes stands to illuminate new avenues for disease diagnosis, treatment and prevention. Here, we provide a high-resolution view of the dynamics between host and gut microbiota during antibiotic induced intestinal microbiota depletion, opportunistic Salmonella typhimurium and Clostridium difficile pathogenesis, and recovery from these perturbed states in a mouse model. Host-centric proteome and microbial community profiles provide an unprecedented longitudinal view revealing the interdependence between host and microbiota in evolving dysbioses. Time- and condition-specific molecular and microbial signatures are evident and clearly distinguished from pathogen-independent inflammatory fingerprints. Our data reveal that mice recovering from antibiotic treatment or C. difficile infection retain lingering signatures of inflammation despite compositional normalization of the microbiota, and host responses could be rapidly and durably relieved through fecal transplant. These experiments define a novel platform for combining orthogonal, untargeted approaches to shed new light on the gastrointestinal ecosystem.
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