Systems biology of infectious diseases: a focus on fungal infections

Santamaría, Rodrigo; Rizzetto, Lisa; Bromley, Michael; Zelante, Teresa; Cavalieri, Duccio; Romani, Luigina; Miller, Brian C.; Gut, Ivo; Santos, Manuel A. S.; Pierre, Philippe; Bowyer, Paul; Kapushesky, Misha

doi:10.1016/j.imbio.2011.08.004

Cited by 33 publications

(18 citation statements)

References 155 publications

(187 reference statements)

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“…Furthermore, while laser treatment significantly affected the production of IL-1β and IL-6, it did not modify the production of IL-23 and IL-12, suggesting that TH-17 and TH-1 response needed for the clearance of pathogens [26] could proceed normally, at least in immunocompetent hosts.…”

Section: Discussionmentioning

confidence: 90%

Effects of near-infrared laser radiation on the survival and inflammatory potential of Candida spp. involved in the pathogenesis of chemotherapy-induced oral mucositis

Clemente

Rizzetto

Castronovo

et al. 2015

Eur J Clin Microbiol Infect Dis

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Candida spp. usually colonize ulcerative lesions of atrophic mucosa in patients with chemotherapy-induced oral mucositis inducing severe inflammation. The spread of antifungal-resistant strains strongly encouraged the search of complementary or alternative therapeutic strategies to cure inflamed mucosa. In this paper, we studied the effects of a near-infrared (NIR) laser system with dual-wavelength emission (808 nm + 904 nm) on the survival and inflammatory potential of C. albicans, C. glabrata, and C. parapsilosis. Laser treatment was performed with a Multiwave Locked System laser. Survival and apoptosis of fungal strains were evaluated by colony-forming units (CFU) counting and annexin V staining. Cytokine production was evaluated by ImmunoPlex array. Laser treatment significantly affected the survival of Candida spp. by inducing apoptosis and induced a lower production of inflammatory cytokines by dendritic cells compared to untreated fungi. No differences in the survival and inflammatory potential were recorded in treated or untreated Saccharomyces cerevisiae cells, used as the control non-pathogenic microorganism. Laser treatment altered the survival and inflammatory potential of pathogenic Candida spp. These data provide experimental support to the use of NIR laser radiation as a co-adjuvant of antifungal therapy in patients with oral mucositis (OM) complicated by Candida infections.

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Section: Discussionmentioning

confidence: 90%

Effects of near-infrared laser radiation on the survival and inflammatory potential of Candida spp. involved in the pathogenesis of chemotherapy-induced oral mucositis

Clemente

Rizzetto

Castronovo

et al. 2015

Eur J Clin Microbiol Infect Dis

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“…It is effective in controlling of some fungal infections, when those specialized cells, are able to phagocytose and destroy fungal elements. The multifactorial inflammatory response and the activated complement cascade are additional, accompanying processes involved (Tizard 2004, Zelante et al 2007, Brown 2011, Santamaria et al 2011). …”

Section: Innate Defense Mechanismsmentioning

confidence: 99%

“…Moreover, the engagement of single TLR varies depending on fungal morphotype and the route of infection (Bourgeois et al 2010, Santamaria et al 2011. Sometimes single TLR is more "universal" and binds different PAMPs of various fungi (Netea et al 2006a, Burgeois andKuchler 2012).…”

Section: The First Element Of Defense -The Recognition Of Pathogen: Pmentioning

confidence: 99%

“…Mannose receptor is also present in the cell membrane of mature macrophages and immature myeloid dendritic cells. Besides tissue macrophages the Macrophage Mannose Receptor (MMR), also known as CD206 and MRC1 (mannose receptor C, type 1) is expressed on lymphatic endothelial and on liver cells (Ramkumar et al 2003, Santamaria et al 2011). Besides N-mannan of C. albicans it identifies also N-acetyl-D-glucosamine and glycoprotein A of Pneumocystis carinii (Brown 2011).…”

Section: The First Element Of Defense -The Recognition Of Pathogen: Pmentioning

confidence: 99%

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Two fundamentals of mammalian defense in fungal infections: Endothermy and innate antifungal immunity

Biegańska¹

2014

Polish Journal of Veterinary Sciences

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The environment of animals is inhabited by enormous fungal species, but only a few hundreds are pathogenic for mammals. Most of potentially pathogenic fungal species, excluding dermatophytes, seldom cause the disease in immunocompetent hosts. Data from literature indicate, that an immune system and endothermy are foundations for this mammalian relative resistance to fungal systemic infections. Stable and high temperature of the body restricts invasion and growth of potentially pathogenic fungi. Together with elevated metabolism it supports the effectiveness of mammalian immunity. The innate immunity is assigned to prevent the invasion of various microbes (including fungi) to the hosts' organism. It consists of cellular receptors and several humoral factors as the Antimicrobial Peptides. If the physical barriers fail in stopping the invader, it is recognized as "alien" by multiple Pattern Recognition Receptors (PRRs) like Toll Like Receptors (TLRs) expressed by cells of innate immunity and/ or C-type lectins. At the same time innate inflammation begins and the complement cascade is activated. These mechanisms are able to stop and clear some fungal infections. During existing infection the adaptive immunity is induced. This review aims to show the role of mammalian endothermy and to point the most important elements of innate antifungal immunity.

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“…The finding that genetic deficiency of TLR3 is associated with susceptibility to aspergillosis and concomitant failure to activate memory protective CD8 + T cells both in stem cell-transplanted patients [24] is one example. Innate and adaptive immune response have undergone a systems modeling approach that, coupled with detailed gene expression studies, particularly on DCs, has improved our understanding of host biology to fungi [73]. The complexity of innate and adaptive responses to fungi implies many challenges, and data from transcriptome, proteome and metabolome analysis will probably be needed to identify the best predictors of vaccine efficacy.…”

Section: Reviewmentioning

confidence: 99%