2 research outputs found
Reshuffling of Aspergillus fumigatus Cell Wall Components Chitin and beta-Glucan under the Influence of Caspofungin or Nikkomycin Z Alone or in Combination
Chitin and beta-glucan are major cell wall components of Aspergillus spp. We investigated the antifungal activity of chitin synthesis inhibitors nikkomycin Z, polyoxin D, flufenoxuron, lufenuron, and teflubenzuron, alone and combined with the beta-glucan synthesis inhibitor caspofungin. Only nikkomycin Z and caspofungin were found to act synergistically. The nikkomycin Z-induced chitin decrease corresponded with a beta-glucan increase, while with the caspofungin-induced beta-glucan decrease, an increase in chitin was found. This could explain the synergistic activity of this combination of drugs
Standardization of SARS-CoV-2 Nucleic Acid Amplification Techniques by Calibration and Quantification to the First WHO International Standard for SARS-CoV-2 RNA
Clinical decision-making regarding isolation of SARS-CoV-2 patients is usually based on semiquantitative cycle-threshold (Ct) values without standardization. However, not all molecular assays produce Ct values, and there is ongoing discussion about whether Ct values can be safely used for decision-making. In this study, we standardized two molecular assays which use different nucleic acid amplification techniques (NAAT): the Hologic Aptima SARS-CoV-2/Flu (TMA) and Roche Cobas 6800 SARS-CoV-2 assays. We calibrated these assays against the first WHO international standard for SARS-CoV-2 RNA by using linear regression of log10 dilution series. These calibration curves were used to calculate viral loads for clinical samples. Clinical performance was assessed retrospectively using samples collected between January 2020 and November 2021, including known positives of the wild-type SARS-CoV-2 virus, the VOCs (alpha, beta, gamma, delta, and omicron) and quality control panels. Linear regression and Bland-Altman analysis showed good correlations for SARS-CoV-2 between Panther TMA and Cobas 6800 when standardized viral loads were used. These standardized quantitative results can benefit clinical decision-making and standardization of infection control guidelines