Fungal Vaccine Development: State of the Art and Perspectives Using Immunoinformatics

Fungal infections represent a serious global health problem, causing damage to health and the economy on the scale of millions. Although vaccines are the most effective therapeutic approach used to combat infectious agents, at the moment, no fungal vaccine has been approved for use in humans. However, the scientific community has been working hard to overcome this challenge. In this sense, we aim to describe here an update on the development of fungal vaccines and the progress of methodological and experimental immunotherapies against fungal infections. In addition, advances in immunoinformatic tools are described as an important aid by which to overcome the difficulty of achieving success in fungal vaccine development. In silico approaches are great options for the most important and difficult questions regarding the attainment of an efficient fungal vaccine. Here, we suggest how bioinformatic tools could contribute, considering the main challenges, to an effective fungal vaccine.

Immunoproteomic and immunoinformatic approaches identify secreted antigens and epitopes from Staphylococcus saprophyticus

Urinary tract infections (UTIs) are common human infections that compromise women's health around the world, even though they can affect men and women of all ages. Bacterial species are the primary causative agents of UTIs, while Staphylococcus saprophyticus, a gram-positive bacterium, is especially important for uncomplicated infections in young women. Despite the number of antigenic proteins identified in Staphylococcus aureus and other bacteria of the genus, there is no immunoproteomic study in S. saprophyticus. In this context, since pathogenic microorganisms secrete important proteins that interact with hosts during infection, the present work aims to identify the exoantigens from S. saprophyticus ATCC 15305 by immunoproteomic and immunoinformatic approaches. We identified 32 antigens on the exoproteome of S. saprophyticus ATCC 15305 by immunoinformatic tools. By using 2D-IB immunoproteomic analysis, it was possible to identify 3 antigenic proteins: transglycosylase IsaA, enolase and the secretory antigen Q49ZL8. In addition, 5 antigenic proteins were detected by immunoprecipitation (IP) approach, where the most abundant were bifunctional autolysin and transglycosylase IsaA proteins. The transglycosylase IsaA was the only protein detected by all the tools approaches used in this study. In this work it was possible to describe a total of 36 S. saprophyticus exoantigens. Immunoinformatic analysis allowed the identification of 5 exclusive linear B cell epitopes from S. saprophyticus and 5 epitopes presenting homology with other bacteria that cause UTIs. This work describes, for the first time, the profile of exoantigens secreted by S. saprophyticus and can contribute to the identification of new diagnostic targets of UTIs, as well as to develop vaccines and immunotherapies against bacterial urinary infections.

Immunoproteomic Approach of Extracellular Antigens From Paracoccidioides Species Reveals Exclusive B-Cell Epitopes

Fungi of the Paracoccidioides genus are the etiological agents of paracoccidioidomycosis (PCM), a systemic mycosis restricted to the countries of Latin America. Currently, the Paracoccidioides complex is represented by Paracoccidioides lutzii, Paracoccidioides americana, Paracoccidioides brasiliensis, Paracoccidioides restrepiensis, and Paracoccidioides venezuelensis. Even with advances in techniques used for diagnosing fungal diseases, high rates of false-positive results for PCM are still presented. Additionally, there is no efficient antigen that can be used to follow up the efficiency of patient treatment. The immunoproteomic is considered a powerful tool for the identification of antigens. In addition, antigens are molecules recognized by the immune system, which make them excellent targets for diagnostic testing of diseases caused by microorganisms. In this vein, we investigated which antigens are secreted by species representing Paracoccidioides complex to increase the spectrum of molecules that could be used for future diagnostic tests, patient follow-up, or PCM therapy. To identify the profile of antigens secreted by Paracoccidioides spp., immunoproteomic approaches were used combining immunoprecipitation, followed by antigen identification by nanoUPLC-MS^E-based proteomics. Consequently, it was possible to verify differences in the exoantigen profiles present among the studied species. Through a mass spectrometry approach, it was possible to identify 79 exoantigens in Paracoccidioides species. Using bioinformatics tools, two unique exoantigens in P. lutzii species were identified, as well as 44 epitopes exclusive to the Paracoccidioides complex and 12 unique antigenic sequences that can differentiate between Paracoccidioides species. Therefore, these results demonstrate that Paracoccidioides species have a range of B-cell epitopes exclusive to the complex as well as specific to each Paracoccidioides species. In addition, these analyses allowed us the identification of excellent biomarker candidates for epidemiology screening, diagnosis, patient follow-up, as well as new candidates for PCM therapy.