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Metabolic reprogramming and lipid droplets are involved in Zika virus replication in neural cells

Overview of attention for article published in Journal of Neuroinflammation, March 2023
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Title
Metabolic reprogramming and lipid droplets are involved in Zika virus replication in neural cells
Published in
Journal of Neuroinflammation, March 2023
DOI 10.1186/s12974-023-02736-7
Pubmed ID
Authors

Suelen Silva Gomes Dias, Tamires Cunha-Fernandes, Luciana Souza-Moreira, Vinicius Cardoso Soares, Giselle Barbosa Lima, Isaclaudia G. Azevedo-Quintanilha, Julia Santos, Filipe Pereira-Dutra, Caroline Freitas, Patricia A. Reis, Stevens Kastrup Rehen, Fernando A. Bozza, Thiago M. Lopes Souza, Cecilia J. G. de Almeida, Patricia T. Bozza

Abstract

Zika virus (ZIKV) infection is a global public health concern linked to adult neurological disorders and congenital diseases in newborns. Host lipid metabolism, including lipid droplet (LD) biogenesis, has been associated with viral replication and pathogenesis of different viruses. However, the mechanisms of LD formation and their roles in ZIKV infection in neural cells are still unclear. Here, we demonstrate that ZIKV regulates the expression of pathways associated with lipid metabolism, including the upregulation and activation of lipogenesis-associated transcription factors and decreased expression of lipolysis-associated proteins, leading to significant LD accumulation in human neuroblastoma SH-SY5Y cells and in neural stem cells (NSCs). Pharmacological inhibition of DGAT-1 decreased LD accumulation and ZIKV replication in vitro in human cells and in an in vivo mouse model of infection. In accordance with the role of LDs in the regulation of inflammation and innate immunity, we show that blocking LD formation has major roles in inflammatory cytokine production in the brain. Moreover, we observed that inhibition of DGAT-1 inhibited the weight loss and mortality induced by ZIKV infection in vivo. Our results reveal that LD biogenesis triggered by ZIKV infection is a crucial step for ZIKV replication and pathogenesis in neural cells. Therefore, targeting lipid metabolism and LD biogenesis may represent potential strategies for anti-ZIKV treatment development.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Bachelor 3 13%
Researcher 2 8%
Student > Ph. D. Student 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 12 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Immunology and Microbiology 2 8%
Unspecified 1 4%
Agricultural and Biological Sciences 1 4%
Medicine and Dentistry 1 4%
Other 2 8%
Unknown 13 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2023.
All research outputs
#16,150,109
of 23,956,119 outputs
Outputs from Journal of Neuroinflammation
#1,867
of 2,764 outputs
Outputs of similar age
#232,969
of 422,599 outputs
Outputs of similar age from Journal of Neuroinflammation
#50
of 68 outputs
Altmetric has tracked 23,956,119 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,764 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.