
doi: 10.1093/jac/dku021
pmid: 24521855
The purpose of this study was to compare the in vitro susceptibilities of 22 Brazilian isolates of Pythium insidiosum to antifungals using a standardized inoculum of zoospores and a proposed novel inoculum prepared from cultured mycelia (hyphae) of P. insidiosum.A zoospore suspension of P. insidiosum was obtained by the zoosporogenesis technique. The hyphal inoculum was prepared from a suspension of P. insidiosum mycelium. Susceptibility to each drug was evaluated using the CLSI M38-A2 method.Of the 88 MIC comparisons performed, 36 (41%) showed the same MIC value for the two inocula. The agreement (differences not greater than one dilution) between MICs obtained with both types of inocula was 39.8% (35/88). In other MIC comparisons analysed, 17 (19.3%) showed differences of two or three dilutions.We conclude that the use of hyphal inocula of P. insidiosum for in vitro susceptibility tests could be a suitable method for evaluating antimicrobial susceptibility, particularly when it is not possible to obtain a standardized zoospore inoculum.
Antifungal Agents, Dogs, Animals, Pythium, Horses, Microbial Sensitivity Tests, Pythiosis, Animal Diseases
Antifungal Agents, Dogs, Animals, Pythium, Horses, Microbial Sensitivity Tests, Pythiosis, Animal Diseases
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
