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pmid:39201622
Antifungal Synergy: Mechanistic Insights into the R-1-R Peptide and Bidens pilosa Extract as Potent Therapeutics against Candida spp. through Proteomics.
Yerly Vargas-Casanova · Claudia Patricia Bravo-Chaucanés · Samuel de la Cámara Fuentes · Raquel Martinez-Lopez · Lucía Monteoliva · Concha Gil · Zuly Jenny Rivera-Monroy · Geison Modesti Costa · Javier Eduardo García Castañeda · Claudia Marcela Parra-Giraldo
International journal of molecular sciences · 2024 doi:10.3390/ijms25168938
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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However, the mechanism of action remains unexplored. In this research, a proteomic study was carried out, followed by a bioinformatic analysis and biological assays in both the SC5314 strain and a fluconazole-resistant isolate of Candida albicans after incubation with R-1-R. The proteomic data revealed that treatment with R-1-R led to the up-regulation of most differentially expressed proteins compared to the controls in both strains. These proteins are primarily involved in membrane and cell wall biosynthesis, membrane transport, oxidative stress response, the mitochondrial respiratory chain, and DNA damage response. Additionally, proteomic analysis of the C. albicans parental strain SC5314 treated with R-1-R combined with an ethanolic extract of B. pilosa was performed. The differentially expressed proteins following this combined treatment were involved in similar functional processes as those treated with the R-1-R peptide alone but were mostly down-regulated (data are available through ProteomeXchange with identifier PXD053558). Biological assays validated the proteomic results, evidencing cell surface damage, reactive oxygen species generation, and decreased mitochondrial membrane potential. These findings provide insights into the complex antifungal mechanisms of the R-1-R peptide and its combination with the B. pilosa extract, potentially informing future studies on natural product derivatives.", "claims": [{"id": "claim-method", "statement": "For statistical analysis, the Analysis of Variance (ANOVA) was used to estimate the probability of differences between conditions.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39201622", "locator": "sections[21] \"4.7. 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