Dataset Information

The Fungus among Us: Cryptococcus neoformans and Cryptococcus gattii Ecological Modeling for Colombia.

ABSTRACT: The environmental isolation of Cryptococcus spp. is typically a difficult undertaking. Collecting samples in the field is costly in terms of travel, personnel time and materials. Furthermore, the recovery rate of Cryptococcus spp. may be very low, thereby requiring a large number of samples to be taken without any guarantee of success. Ecological niche modeling is a tool that has traditionally been used to forecast the distribution of plant and animal of species for biodiversity and conservation purposes. Here, we use it in a public health application to produce risk area maps for cryptococcal disease in Colombia. The Genetic Algorithm for Ruleset Production (GARP) was used to create models for Cryptococcus neoformans (C. neoformans) and Cryptococcus gattii (C. gattii), based on environmental sampling and clinical records data recorded since 1987. These maps could be used to focus public health messaging related to cryptococcal disease, and it enables us to characterize the ecological niche for Cryptococcus in Colombia. We found that the OPEN ACCESS J. Fungi 2015, 1 333 ecological niche for C. gattii in Colombia is quite diverse, establishing itself in sub-tropical and temperate ecoregions within the country. This suggests that C. gattii is highly adaptive to different ecological conditions in Colombia and different regions of the world.

SUBMITTER: Mak S

PROVIDER: S-EPMC5753128 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Publications

The Fungus among Us: Cryptococcus neoformans and Cryptococcus gattii Ecological Modeling for Colombia.

Mak Sunny S Vélez Nórida N Castañeda Elizabeth E Escandón Patricia P

Journal of fungi (Basel, Switzerland) 20150930 3

The environmental isolation of Cryptococcus spp. is typically a difficult undertaking. Collecting samples in the field is costly in terms of travel, personnel time and materials. Furthermore, the recovery rate of Cryptococcus spp. may be very low, thereby requiring a large number of samples to be taken without any guarantee of success. Ecological niche modeling is a tool that has traditionally been used to forecast the distribution of plant and animal of species for biodiversity and conservation ...[more]

PMID: 29376914

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Project description:Cryptococcus-macrophage interaction is crucial in the development of cryptococcocal diseases. C. neoformans and C. gattii are major pathogenic species that occupy different niches and cause different clinical manifestations. However, the differences of macrophage interaction among these species in affecting different disease outcomes and immune responses have not been clearly addressed. Here, we examined the macrophage uptake rates, intracellular loads and intracellular proliferation rates of C. neoformans and C. gattii clinical isolates from Thailand and analyzed the effect of those interactions on fungal burdens and host immune responses. C. neoformans isolates showed a higher phagocytosis rate but lower intracellular proliferation rate than C. gattii. Indeed, the high intracellular proliferation rate of C. gattii isolates did not influence the fungal burdens in lungs and brains of infected mice, whereas infection with high-uptake C. neoformans isolates resulted in significantly higher brain burdens that associated with reduced survival rate. Interestingly, alveolar macrophages of mice infected with high-uptake C. neoformans isolates showed distinct patterns of alternatively activated macrophage (M2) gene expressions with higher Arg1, Fizz1, Il13 and lower Nos2, Ifng, Il6, Tnfa, Mcp1, csf2 and Ip10 transcripts. Corresponding to this finding, infection with high-uptake C. neoformans resulted in enhanced arginase enzyme activity, elevated IL-4 and IL-13 and lowered IL-17 in the bronchoalveolar lavage. Thus, our data suggest that the macrophage interaction with C. neoformans and C. gattii may affect different disease outcomes and the high phagocytosis rates of C. neoformans influence the induction of type-2 immune responses that support fungal dissemination and disease progression. Abbreviation: Arg1: Arginase 1; BAL: Bronchoalveolar lavage; CCL17: Chemokine (C-C motif) ligand 17; CNS: Central nervous system; CSF: Cerebrospinal fluid; Csf2: Colony-stimulating factor 2; Fizz1: Found in inflammatory zone 1; HIV: Human immunodeficiency virus; ICL: Intracellular cryptococcal load; Ifng: Interferon gamma; Ip10: IFN-g-inducible protein 10; IPR: Intracellular proliferation rate; Mcp1: Monocyte chemoattractant protein 1; Nos2: Nitric oxide synthase 2; PBS: Phosphate-Buffered Saline; Th: T helper cell; Tnfa: Tumor necrosis factor alpha.

Dataset Information

The Fungus among Us: Cryptococcus neoformans and Cryptococcus gattii Ecological Modeling for Colombia.

Publications

The Fungus among Us: Cryptococcus neoformans and Cryptococcus gattii Ecological Modeling for Colombia.

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