The atypical antipsychotic aripiprazole alters the outcome of disseminated Candida albicans infections.
Parker ReitlerJessica ReganChristian DeJarnetteAshish SrivastavaJen CarnahanKatie M TuckerBernd MeibohmBrian M PetersGlen E PalmerPublished in: Infection and immunity (2024)
Invasive fungal infections impose an enormous clinical, social, and economic burden on humankind. One of the most common species responsible for invasive fungal infections is Candida albicans . More than 30% of patients with disseminated candidiasis fail therapy with existing antifungal drugs, including the widely used azole class. We previously identified a collection of 13 medications that antagonize the activity of the azoles on C. albicans . Although gain-of-function mutations responsible for antifungal resistance are often associated with reduced fitness and virulence, it is currently unknown how exposure to azole antagonistic drugs impacts C. albicans physiology, fitness, or virulence. In this study, we examined how exposure to seven azole antagonists affects C. albicans phenotype and capacity to cause disease. Most of the azole antagonists appear to have little impact on fungal growth, morphology, stress tolerance, or gene transcription. However, aripiprazole had a modest impact on C. albicans hyphal growth and increased cell wall chitin content. It also aggravated the disseminated C. albicans infections in mice. This effect was abrogated in immunosuppressed mice, indicating that it is at least in part dependent upon host immune responses. Collectively, these data provide proof of principle that unanticipated drug-fungus interactions have the potential to influence the incidence and outcomes of invasive fungal disease.
Keyphrases
- candida albicans
- biofilm formation
- cell wall
- immune response
- escherichia coli
- pseudomonas aeruginosa
- staphylococcus aureus
- body composition
- physical activity
- healthcare
- antimicrobial resistance
- type diabetes
- high fat diet induced
- dna methylation
- emergency department
- cystic fibrosis
- gene expression
- copy number
- adipose tissue
- mesenchymal stem cells
- metabolic syndrome
- transcription factor
- climate change
- deep learning
- skeletal muscle
- toll like receptor
- glycemic control
- smoking cessation