2015
DOI: 10.1128/mbio.01425-15
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Live Imaging of Host-Parasite Interactions in a Zebrafish Infection Model Reveals Cryptococcal Determinants of Virulence and Central Nervous System Invasion

Abstract: The human fungal pathogen Cryptococcus neoformans is capable of infecting a broad range of hosts, from invertebrates like amoebas and nematodes to standard vertebrate models such as mice and rabbits. Here we have taken advantage of a zebrafish model to investigate host-pathogen interactions of Cryptococcus with the zebrafish innate immune system, which shares a highly conserved framework with that of mammals. Through live-imaging observations and genetic knockdown, we establish that macrophages are the primary… Show more

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Cited by 70 publications
(89 citation statements)
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“…1I). These results are consistent with previous reports using the H99 strain in zebrafish larvae (36). While inoculated yeast could lodge temporarily in the brain vasculature in the very first hours after inoculation (data not shown), invasion into the parenchyma was not seen until after the establishment of secondary fungemia.…”
Section: Resultssupporting
confidence: 83%
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“…1I). These results are consistent with previous reports using the H99 strain in zebrafish larvae (36). While inoculated yeast could lodge temporarily in the brain vasculature in the very first hours after inoculation (data not shown), invasion into the parenchyma was not seen until after the establishment of secondary fungemia.…”
Section: Resultssupporting
confidence: 83%
“…Inocula of between 150 and 250 cryptococcal cells per larva (estimated mass of 50.5 g at 48 hpi [52]) produce an inoculum-to-mass ratio averaging 3.96, comparable to that of previously published mouse infections (1 ϫ 10 5 yeast cells or spores in an ϳ22-g mouse ϭ 4.54). This dosing was also comparable to that for previously published studies in zebrafish (35,36). For imaging and cryptococcal enumeration experiments, the inoculum for each fish was assessed by direct visual counting via epifluorescence microscopy.…”
Section: Methodsmentioning
confidence: 74%
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