Candida dubliniensis fungemia in a patient with severe COVID-19: A case report

Evaluation of the Eazyplex®Candida ID LAMP Assay for the Rapid Diagnosis of Positive Blood Cultures

Rapid molecular assays can be used to identify Candida pathogens directly from positive blood cultures (BCs) in a timely manner compared to standard methods using subcultures. In this study, the eazyplex®Candida ID assay, which is based on loop-mediated amplification (LAMP) and is currently for research use only, was evaluated for the identification of the most common fungal species. A total of 190 BCs were analysed. Sensitivity and specificity were 93.88% and 99.26% for C. albicans, 89.13% and 100% for Nakaseomyces glabratus (N. glabratus), 100% and 100% for Pichia kudravzevii (P. kudriavzevii), 100% and 100% for C. tropicalis, and 100% and 99.44% for C. parapsilosis. Sample preparation took approximately 11 min and positive amplification results were obtained between 8.5 and 19 min. The eazyplex®Candida ID LAMP assay is an easy-to-use diagnostic tool that can optimise the management of patients with candidemia.

Septic arthritis caused by Candida dubliniensis following arthroscopic surgery

A 37-year-old immunocompetent man was admitted to the emergency department due to recurrent pain and oedema of his right knee. Two months earlier, he had undergone surgery to repair his meniscus. Arthroscopic joint lavage was performed and Candida dubliniensis was recovered in culture. The authors describe the first case of septic arthritis caused by Candida dubliniensis.

Secreted Aspartyl Proteinases Targeted Multi-Epitope Vaccine Design for Candida dubliniensis Using Immunoinformatics

Candida dubliniensis is an opportunistic pathogen associated with oral and invasive fungal infections in immune-compromised individuals. Furthermore, the emergence of C. dubliniensis antifungal drug resistance could exacerbate its treatment. Hence, in this study a multi-epitope vaccine candidate has been designed using an immunoinformatics approach by targeting C. dubliniensis secreted aspartyl proteinases (SAP) proteins. In silico tools have been utilized to predict epitopes and determine their allergic potential, antigenic potential, toxicity, and potential to elicit interleukin-2 (IL2), interleukin-4 (IL4), and IFN-γ. Using the computational tools, eight epitopes have been predicted that were then linked with adjuvants for final vaccine candidate development. Computational immune simulation has depicted that the immunogen designed emerges as a strong immunogenic candidate for a vaccine. Further, molecular docking and molecular dynamics simulation analyses revealed stable interactions between the vaccine candidate and the human toll-like receptor 5 (TLR5). Finally, immune simulations corroborated the promising candidature of the designed vaccine, thus calling for further in vivo investigation.