TREM-1 interacts with rotavirus proteins and drives inflammatory responses: a combined experimental and computational approach
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Rotavirus (RV) is one of the main etiologic agents associated with diarrheal diseases (DDs),
being responsible for approximately 200 thousand deaths annually. Currently, there are still
many aspects regarding the virus biology, cell cycle, and pathophysiology of RV that need
further elucidation. Therefore, the present work aimed to investigate whether the triggering
receptor expressed on myeloid cells 1 (TREM-1) might be associated with RV infection.
This immune receptor has been observed as an amplifier of inflammatory responses in
different infectious and non-infectious diseases, including inflammatory bowel disease
and celiac disease. Initially, we searched for public transcriptomic data regarding RV
infection and the expression of TREM-1 and its associated genes, which were significantly
upregulated in infected mice and children. Then, we infected monocytes with the virus,
with or without a TREM-1 inhibitor. The inhibition of the receptor’s activity resulted in
a significant decrease in IL-1β production. We also observed a reduction in cytopathic
effects when MA104 cells were treated with TREM-1 inhibitors and then infected with
simian RV. To further elucidate the interactions between the virus and TREM-1, in silico
tools were used to simulate interactions between the receptor and RV proteins. These
simulations suggested the occurrence of interactions between TREM-1 and VP5*, a protein
involved in viral attachment to target cells, and also between the receptor and NSP4, a viral
enterotoxin with immunostimulant properties. Hence, our results indicate that TREM-1 is
involved in RV infection, both as a mediator of inflammatory responses and as a player in
the host–virus relationship.
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Rotavirus, Diarrheal diseases, Acute gastroenteritis, TREM1, Immune response
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MATOS, Amanda de Oliveira et al. TREM-1 interacts with rotavirus proteins and drives inflammatory responses: a combined experimental and computational approach. Pathogens, Basel, v. 14, n. 10, e1, 2025. DOI: 10.3390/pathogens14101029. Disponível em: https://www.mdpi.com/2076-0817/14/10/1029. Acesso em: 14 out. 2025.