The Transcriptional Profile of Trichophyton rubrum Co-Cultured with Human Keratinocytes Shows New Insights about Gene Modulation by Terbinafine.
Monise Fazolin PetrucelliJosie Budag MatsudaKamila PeroniPablo Rodrigo SanchesWilson Araújo da Silva JuniorRene Oliveira BeleboniNilce Maria Martinez-RossiMozart MarinsAna Lucia FachinPublished in: Pathogens (Basel, Switzerland) (2019)
The dermatophyte Trichophyton rubrum is the main causative agent of dermatophytoses worldwide. Although a superficial mycosis, its incidence has been increasing especially among diabetic and immunocompromised patients. Terbinafine is commonly used for the treatment of infections caused by dermatophytes. However, cases of resistance of T. rubrum to this allylamine were reported even with the efficacy of this drug. The present study is the first to evaluate the effect of terbinafine using a co-culture model of T. rubrum and human keratinocytes, mimicking a fungus-host interaction, in conjunction with RNA-seq technique. Our data showed the repression of several genes involved in the ergosterol biosynthesis cascade and the induction of genes encoding major facilitator superfamily (MFS)- and ATP-binding cassette superfamily (ABC)-type membrane transporter which may be involved in T. rubrum mechanisms of resistance to this drug. We observed that some genes reported in the scientific literature as candidates of new antifungal targets were also modulated. In addition, we found the modulation of several genes that are hypothetical in T. rubrum but that possess known orthologs in other dermatophytes. Taken together, the results indicate that terbinafine can act on various targets related to the physiology of T. rubrum other than its main target of ergosterol biosynthetic pathway.
Keyphrases
- genome wide identification
- endothelial cells
- rna seq
- genome wide
- single cell
- end stage renal disease
- transcription factor
- systematic review
- chronic kidney disease
- wound healing
- gene expression
- type diabetes
- bioinformatics analysis
- genome wide analysis
- induced pluripotent stem cells
- dna methylation
- emergency department
- risk factors
- prognostic factors
- peritoneal dialysis
- copy number
- intensive care unit
- oxidative stress
- acute respiratory distress syndrome
- smoking cessation
- big data
- deep learning
- dna binding