Candida auris exhibits multidrug resistance and causes invasive infections with high mortality rates of 30-60% in humans.
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Antifungal resistance and susceptibility
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Coumarin inhibits Alternaria alternata growth and infection by disrupting ROS homeostasis, membrane integrity, and ergosterol biosynthesis, and activates the HOG pathway.
- Open access
Segmental duplication and supernumerary chromosomes are linked to antifungal resistance in Candida auris, expanding the genetic mechanisms beyond mutations.
- Open access
Diversity in nutrient sensing by Candida auris is linked to its ability to evade immune responses across different host environments.
- Open access
Over 100 novel long noncoding RNAs respond specifically to Candida auris and its cell wall components in human PBMCs, especially after 24 hours of exposure.
- Open access
Diploid Candida glabrata adapt to fluconazole with higher fitness and MICs, acquiring unique mutations and aneuploidies compared to haploids.
- Open access
Four filamentous fungi, including two Aspergillus species and two Paecilomyces variotii isolates, showed no measurable radiotropism after 7 days near a 137 Cs gamma source.
- Open access
C. albicans-specific Th17 cells are shared across oral and gut mucosa, with significant enrichment in Crohn's disease, linking commensal fungi to intestinal inflammation.
- Open access
Candida albicans reprograms Staphylococcus aureus glycolytic pathways, increasing its virulence by 2- to 3-fold in glucose-rich environments.
- Open access
Genomic analysis uncovers three distinct, highly divergent populations of Legionella anisa, with a clonal lineage identified in a Canadian healthcare facility.
- Open access
PinA and XYP1 peptides demonstrate strong, stable binding to Candida albicans membranes, effectively inhibiting fungal growth in vitro without harming human cells.
IL-1 family signalling is essential for mucosal defence against systemic Candida albicans infection, with its loss leading to dissemination and mortality in neutropenic conditions.
- Open access
Advances in molecular techniques and point-of-care tests promise faster, more accurate diagnosis of invasive fungal infections, potentially saving lives and reducing resistance.
- Open access
Machine learning combined with multi-omics data predicts pulmonary fungal infection risk in COPD and lung cancer with an AUC of 0.988.
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