Navegando por Autor "Castro, Renato Fróes Goulart de"

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Integrative transcriptome analysis of SARS‐CoV‐2 human‐infected cells combined with deep learning algorithms identifes two potential cellular targets for the treatment of coronavirus disease.
(2023) Gonçalves, Ricardo Lemes; Souza, Gabriel Augusto Pires de; Terceti, Mateus de Souza; Castro, Renato Fróes Goulart de; Silva, Breno de Mello; Novaes, Rômulo Dias; Malaquias, Luiz Cosme Cotta; Coelho, Luiz Felipe Leomil
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) quickly spread worldwide, leading coronavirus disease 2019 (COVID-19) to hit pandemic level less than 4 months after the frst ofcial cases. Hence, the search for drugs and vaccines that could prevent or treat infections by SARS-CoV-2 began, intending to reduce a possible collapse of health systems. After 2 years, eforts to fnd therapies to treat COVID-19 continue. However, there is still much to be understood about the virus’ pathology. Tools such as transcriptomics have been used to understand the impact of SARS-CoV-2 on dif- ferent cells isolated from various tissues, leaving datasets in the databases that integrate genes and diferentially expressed pathways during SARS-CoV-2 infection. After retrieving transcriptome datasets from diferent human cells infected with SARS-CoV-2 available in the database, we performed an integrative analysis associated with deep learning algorithms to determine diferentially expressed targets mainly after infection. The targets found represented a fructose transporter (GLUT5) and a component of proteasome 26s. These targets were then molecularly modeled, followed by molecular docking that identifed potential inhibitors for both structures. Once the inhibition of structures that have the expression increased by the virus can represent a strategy for reducing the viral replication by selecting infected cells, associating these bioinformatics tools, therefore, can be helpful in the screening of molecules being tested for new uses, saving fnancial resources, time, and making a personalized screening for each infectious disease.
Nanoparticles as vaccines to prevent arbovirus infection : a long road ahead.
(2021) Souza, Gabriel Augusto Pires de; Rocha, Raíssa Prado; Gonçalves, Ricardo Lemes; Ferreira, Cyntia Silva; Silva, Breno de Mello; Castro, Renato Fróes Goulart de; Rodrigues, João Francisco Vitório; Vieira Júnior, João Carlos Vilela; Malaquias, Luiz Cosme Cotta; Abrahão, Jônatas Santos; Coelho, Luiz Felipe Leomil
Arthropod-borne viruses (arboviruses) are a significant public health problem worldwide. Vaccination is considered one of the most effective ways to control arbovirus diseases in the human population. Nanoparticles have been widely explored as new vaccine platforms. Although nanoparticles’ potential to act as new vaccines against infectious diseases has been identified, nanotechnology’s impact on developing new vaccines to prevent arboviruses is unclear. Thus, we used a comprehensive bibliographic survey to integrate data concerning the use of diverse nanoparticles as vaccines against medically important arboviruses. Our analysis showed that considerable research had been conducted to develop and evaluate nanovaccines against Chikungunya virus, Dengue virus, Zika virus, Japanese encephalitis virus, and West Nile virus. The main findings indicate that nanoparticles have great potential for use as a new vaccine system against arboviruses. Most of the studies showed an increase in neutralizing antibody production after mouse immunization. Nevertheless, even with significant advances in this field, further efforts are necessary to address the nanoparticles’ potential to act as a vaccine against these arboviruses. To promote advances in the field, we proposed a roadmap to help researchers better characterize and evaluate nanovaccines against medically important arboviruses.