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Santos, K.

Publications and source records attributed to Santos, K..

3 recordsLinked to original sources

The application of metagenomics in the detection of arboviruses in mosquitoes (Diptera: Culicidade). A systematic review

Advances in deforestation and climate change directly imply changes in habits and the distribution of Culicidae across the globe, especially mosquitoes of medical importance and the main vectors of arboviruses. The viral metagenomics technique can be an important tool in characterizing the viral diversity present in mosquitoes. Thus, the aim was to identify evidence of the effectiveness of the viral metagenomics technique in detecting arboviruses in mosquitoes. This is a systematic review based on the PRISMA 2020 protocol. The research was carried out in five electronic databases: LILACS, PubMed, SciELO, Scopus and Web of Science, chosen to include studies published in health and interdisciplinary areas, as well as a complementary research on Google Scholar. Studies that used the viral metagenomics approach for the genomic evaluation of arboviruses found in mosquito samples were included, where the results demonstrated the presence of viral diversity and the identification of the genome of probable pathogenic viruses. The protocol was registered on the PROSPERO platform under the number CRD42024484713. 238 studies published in recent years were identified in the electronic databases. According to the inclusion/exclusion criteria, only 20 studies met the objectives for the systematic review. In all the studies, the viral metagenomics technique of genomic sequencing was applied to detect viruses, mainly those related to specific insect viruses, arboviruses, pathogenic viruses, animal viruses and plant viruses belonging to various viral families. Despite the challenges to be overcome in terms of the absence of reference sequences in genomic databases, the effectiveness of the metagenomics technique in characterizing the mosquito virome is clear from the studies, which broadens the understanding of viral diversity.

microbiology↗

Toll-Like Receptor-4 Disruption Suppresses Adipose Tissue Remodeling and Increases Survival During Cancer Cachexia Syndrome

Cancer-induced cachexia, characterized by systemic inflammation, body weight loss, adipose tissue (AT) remodeling and muscle wasting, is a malignant metabolic syndrome with undefined etiology. Here, we show that Toll-like receptor 4 (TLR4) mediates AT remodeling, in particular, AT browning and inflammatory response in mice bearing Lewis lung carcinoma (LLC). LLC tumor-bearing (TB) TLR4-/- mice were spared from AT remodeling due to a reduced macrophage infiltration and adipocyte atrophy. TLR4-/- mice were also resistant to cold-induced browning of subcutaneous AT (scAT). Importantly, pharmacological inhibition of TLR4 reproduced the main protective effect against AT remodeling found in TLR4-/- TB mice. Moreover, the treatment was effective in prolonging the survival and attenuating tumor mass growth when compared to non-treated-TB animals. Further, tumor-induced elevation of circulating pro-inflammatory cytokines was similarly abolished in both genetic ablation and pharmacological inhibition of TLR4. These data suggest that TLR4 is a critical mediator and a promising therapeutic target for cancer-induced AT remodeling.\n\nHIGHLIGHTSO_LIGenetic ablation and pharmacological inhibition of TLR4 attenuate adipose tissue remodeling during cancer-associated cachexia;\nC_LIO_LITLR4 suppression play an essential role in the browning phenotype induced by cachexia;\nC_LIO_LIAdministration of TLR4 drug inhibitor increase survival and reduces tumor mass growth in tumor bearing mice;\nC_LIO_LITLR4 pathway is a promising target for cancer-cachexia therapeutic intervention.\nC_LI

cancer biology↗

Impact of Sexual Transmission to Sex-specific Attack Rates in Zika Epidemics

In 2015 and 2016 South America went through the largest Zika epidemic in recorded history. One important aspect of this epidemic was the impact on newborns due to the effect of Zika on development of the central nervous system leading to severe malformations. Another aspect of the Zika epidemic which became evident from the data was the importance of the sexual route of transmission leading to increased risk for women. Here propose a mathematical model for the transmission of the Zika virus including sexual transmission via all forms of sexual contact, as well as simplified vector transmission, assuming a constant availability of mosquitoes. From this model we derive an expression for[R] 0 which can be used to study and analyze the relative contributions of the different routes of Zika transmission and the male to female sexual transmission route vis-a-vis vectorial transmission. We also fit the model to data from the 2016 Zika epidemic in Rio de Janeiro, to estimate the values of key parameters of the model.

epidemiology↗