Evidence map›Paper›PMID 41157560›Full record

ArticleViruses2025

Dysregulation of microRNAs in the Brains of Mice Infected with Powassan Virus.

Amany Elsharkawy, Komal Arora, Hamid Reza Jahantigh, Mukesh Kumar

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Amany ElsharkawyDepartment of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 30303, USA.ORCID 0009-0003-3645-5605
Komal AroraDepartment of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 30303, USA.
Hamid Reza JahantighDepartment of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 30303, USA.
Mukesh KumarDepartment of Biology, College of Arts and Sciences, Georgia State University, Atlanta, GA 30303, USA.ORCID 0000-0003-0970-4875

Funding

Modeling Zika virus pathogenesis and potential intervention during neural development using a human brain organoid systemU19AI131130 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRINTON, MARGO A · 2017 to 2021
$7.7M
National Institute of health U19AI131130NIAID NIH HHS U19 AI131130
6 · The paper itself

Abstract

microRNAs (miRNAs) are known to play critical roles in the regulation of gene expression during neurodegenerative diseases and neurotropic viral infections. However, their specific contribution to the pathogenesis of Powassan virus (POWV) infection in the brain remains poorly understood. Understanding miRNA dynamics in the brain during POWV infection may reveal novel insights into viral neuropathogenesis and host antiviral responses. Therefore, in the present study, we analyzed miRNA expression profiles in the mouse brain at different time points following a peripheral POWV infection. A total of 599 miRNAs were examined at day 3, 6, and 9 post-infection. Infection with POWV resulted in the modulation of several miRNAs in the brain at all time points. There was a progressive increase in the number of dysregulated miRNAs over the course of infection. This correlated with POWV dissemination into the brain with a progressive increase in viral RNA levels that peaked at day 9 post-infection. There was an early upregulation of miR-1983, miR-19a, and miR-216b that persisted until day 9 post-infection. POWV infection also resulted in the downregulation of miR-500 at all examined time points. Using IPA, we determined the significant canonical pathways affected by miRNA dysregulation. POWV infection modulated the activation of the thyroid hormone receptor and retinoid X receptor (TR/RXR) and the regulation of the phosphatase and tensin homolog (PTEN). Additionally, macrophage classical activation and growth arrest and DNA damage-inducible 45 (GADD45) signaling were activated as early as day 3 post-infection and persisted until day 9 post-infection. Furthermore, our analysis revealed the activation of cell death pathways such as necrosis and apoptosis and the inhibition of cell cycle progression, as well as leukopoiesis. To our knowledge, this is the first study to evaluate the modulation of miRNAs in the brain following POWV infection.

Indexed as

BrainEncephalitis, Tick-BorneEncephalitis Viruses, Tick-BorneMicroRNAsAnimalsDisease Models, AnimalGene Expression ProfilingGene Expression RegulationMiceMice, Inbred C57BLMicroRNAsflavivirusmicroRNAsneuroinflammationPowassan virus

Identifiers

PMID41157560
PMCPMC12567649

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.