Literature DB >> 25785541

Host response to Candida albicans bloodstream infection and sepsis.

Seána Duggan1, Ines Leonhardt, Kerstin Hünniger, Oliver Kurzai.   

Abstract

Candida albicans is a major cause of bloodstream infection which may present as sepsis and septic shock - major causes of morbidity and mortality world-wide. After invasion of the pathogen, innate mechanisms govern the early response. Here, we outline the models used to study these mechanisms and summarize our current understanding of innate immune responses during Candida bloodstream infection. This includes protective immunity as well as harmful responses resulting in Candida induced sepsis. Neutrophilic granulocytes are considered principal effector cells conferring protection and recognize C. albicans mainly via complement receptor 3. They possess a range of effector mechanisms, contributing to elimination of the pathogen. Neutrophil activation is closely linked to complement and modulated by activated mononuclear cells. A thorough understanding of these mechanisms will help in creating an individualized approach to patients suffering from systemic candidiasis and aid in optimizing clinical management.

Entities:  

Keywords:  Candida albicans; bloodsteam infection; innate immune response; sepsis

Mesh:

Substances:

Year:  2015        PMID: 25785541      PMCID: PMC4601378          DOI: 10.4161/21505594.2014.988096

Source DB:  PubMed          Journal:  Virulence        ISSN: 2150-5594            Impact factor:   5.882


  159 in total

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Journal:  Cell Host Microbe       Date:  2011-12-15       Impact factor: 21.023

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7.  Absence of TLR2 influences survival of neutrophils after infection with Candida albicans.

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Review 9.  New insights into innate immune control of systemic candidiasis.

Authors:  Michail S Lionakis
Journal:  Med Mycol       Date:  2014-07-14       Impact factor: 4.076

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Authors:  Jacqueline U McDonald; Marcela Rosas; Gordon D Brown; Simon A Jones; Philip R Taylor
Journal:  PLoS One       Date:  2012-09-26       Impact factor: 3.240

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5.  Machine-learning based prediction and analysis of prognostic risk factors in patients with candidemia and bacteraemia: a 5-year analysis.

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Review 7.  Point-of-critical-care diagnostics for sepsis enabled by multiplexed micro and nanosensing technologies.

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9.  Exploiting the vulnerable active site of a copper-only superoxide dismutase to disrupt fungal pathogenesis.

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10.  CD8+ T cell survival in lethal fungal sepsis was ameliorated by T-cell-specific mTOR deletion.

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