<b><i>Introduction:</i></b> The aim of this case was to investigate the association of the Zika virus infection in utero with the autism spectrum disorder (ASD) as clinical outcome that presented no congenital anomalies. <b><i>Methods:</i></b> ASD was diagnosed in the second year of life by different child neurologists and confirmed by DSM-5 and ASQ. After that, an extensive clinical, epidemiological, and genetic evaluations were performed, with main known ASD causes ruled out. <b><i>Results:</i></b> An extensive laboratorial search was done, with normal findings. SNP array identified no pathogenic variants. Normal neuroimaging and EEG findings were also obtained. ZIKV (Zika virus) IgG was positive, while IgM was negative. Other congenital infections were negative. The exome sequencing did not reveal any pathogenic variant in genes related to ASD. <b><i>Conclusion:</i></b> Accordingly, this report firstly associates ZIKV exposure to ASD.
The COVID-19
pandemic caused by the new coronavirus (SARS-CoV-2) has become a global
emergency issue for public health. This threat has led to an acceleration
in related research and, consequently, an unprecedented volume of
clinical and experimental data that include changes in gene expression
resulting from infection. The SARS-CoV-2 infection database (SARSCOVIDB: ) was
created to mitigate the difficulties
related to this scenario. The SARSCOVIDB is an online platform that
aims to integrate all differential gene expression data, at messenger
RNA and protein levels, helping to speed up analysis and research
on the molecular impact of COVID-19. The database can be searched
from different experimental perspectives and presents all related
information from published data, such as viral strains, hosts, methodological
approaches (proteomics or transcriptomics), genes/proteins, and samples
(clinical or experimental). All information was taken from 24 articles
related to analyses of differential gene expression out of 5,554 COVID-19/SARS-CoV-2-related
articles published so far. The database features 12,535 genes whose
expression has been identified as altered due to SARS-CoV-2 infection.
Thus, the SARSCOVIDB is a new resource to support the health workers
and the scientific community in understanding the pathogenesis and
molecular impact caused by SARS-CoV-2.
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