In silico integrative analysis predicts relevant properties of exotoxin-derived peptides for the design of vaccines against Pseudomonas aeruginosa.

Pseudomonas aeruginosa (PA) is an opportunistic human pathogen responsible for causing serious infections in patients with cystic fibrosis. Infections caused by PA are difficult to treat and eradicate due to intrinsic and added resistance to antibiotic therapy. Therefore, it is necessary to establish effective prevention strategies against this infectious agent. In this study, a combination of immunoinformatic tools was applied to predict immunogenic and immunodominant regions in the structure of exotoxins commonly secreted as virulence factors in PA infection (ExoA, ExoS, ExoT, ExoU and ExoY). The peptides derived from exotoxins were evaluated for the potential affinity for human leukocyte antigen (HLA) I and HLA-II molecules, antigenicity score and toxicity profile. From an initial screening of 941 peptides, 13 (1.38%) were successful in all analyzes. The peptides with relevant immunogenic properties were mainly those derived from Exo A (10 / 76.9%). All peptides selected in the last analysis present a high population coverage rate based on the interaction of HLA alleles (95.36 ± 7.83%). Therefore, the peptides characterized in this study are recommended for in vitro and in vivo studies and can provide the basis for the rational design of a vaccine against PA.

An in silico integrative protocol for identifying key genes and pathways useful to understand emerging virus disease pathogenesis.

The pathogenesis of an emerging virus disease is a difficult task due to lack of scientific data about the emerging virus during outbreak threats. Several biological aspects should be studied faster, such as virus replication and dissemination, immune responses to this emerging virus on susceptible host and specially the virus pathogenesis. Integrative in silico transcriptome analysis is a promising approach for understanding biological events in complex diseases. In this study, we propose an in silico protocol for identifying key genes and pathways useful to understand emerging virus disease pathogenesis. To validate our protocol, the emerging arbovirus Zika virus (ZIKV) was chosen as a target micro-organism. First, an integrative transcriptome data from neural cells infected with ZIKV was used to identify shared differentially expressed genes (DEGs). The DEGs were used to identify the potential candidate genes and pathways in ZIKV pathogenesis through gene enrichment analysis and protein­protein interaction network construction. Thirty DEGs (24 upregulated and 6 downregulated) were identified in all ZIKV-infected cells, primarily associated with endoplasmic reticulum stress and DNA replication pathways. Some of these genes and pathways had biological functions linked to neurogenesis and/or apoptosis, confirming the potential of this protocol to find key genes and pathways involved on disease pathogenesis. Moreover, the proposed in silico protocol performed anintegrated analysis that is able to predict and identify putative biomarkers from different transcriptome data. These biomarkers could be useful to understand virus disease pathogenesis and also help the identification of candidate antiviral drugs.

Bovine serum albumin nanoparticles induce histopathological changes and inflammatory cell recruitment in the skin of treated mice.

Albumin is a natural, biocompatible, biodegradable and nontoxic polymer and due to these features, nanoparticles made of albumin are a good system for drug or antigen delivery. Polymeric nanoparticles are being widely explored as new vaccines platforms due to the capacity of those nanoparticles to prime the immune system by providing sustained release of the antigen after injection. Biodegradable nanoparticles associated with proteins represent a promising method for in vivo delivery of vaccines. In our previous studies, bovine serum albumin nanoparticles (BSA-NPs) were identified as a promising system for in vivo delivery of microbial antigens. The aim of this work was to show the effect of BSA-NPs on skin after nanoparticles administration. The pro-inflammatory activity of BSA-NPs was evaluated using in vivo models. BSA-NPs are easily uptake by macrophagic RAW 264.7 and BHK-21 cells without any significant cytotoxicity. Histological examination of skin sections from BSA-NPs-treated mice revealed intense cellular infiltration, increased skin thickness, follicular hypertrophy, vascular congestion and marked collagenesis. Mice immunized with recombinant non-structural protein 1 (rNS1) from Dengue virus 1 and BSA-NPs showed a high seroconversion rate if compared to animals immunized only with rNS1. Therefore, the effect of BSA-NPs on skin after BSA-NPs administration has a biotechnological relevance to the rational design of vaccine formulations based on albumin nanocarriers. However in the next years future studies should be carried out to best characterize the effect of BSA-NPs on dendritic cells and establish the role of these nanoparticles as a new vaccine platform for infectious diseases or cancer.