Evidence map›Paper›PMID 42538899›Full record

ArticlebioRxiv : the preprint server for biology2026

SIRT1 remodels astrocyte metabolism and promotes viral replication during neurotropic orthoflavivirus infection.

Juan P Angel, Diego Alzate, Marissa Lindman, Colm Atkins, Brian P Daniels

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

5 authors.

Juan P AngelDepartment of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854.
Diego AlzateDepartment of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854.
Marissa LindmanDepartment of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854.
Colm AtkinsDepartment of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854.
Brian P DanielsDepartment of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ 08854.ORCID 0000-0002-8473-0654

Funding

Juan Angel_Diversity Supplement: R01 NS120895R01NS120895 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI DANIELS, BRIAN · 2021 to 2025
$2.1M
NINDS NIH HHS R01 NS120895
6 · The paper itself

Abstract

Orthoflaviviruses depend on host metabolic resources to replicate, but how distinct cell types in the central nervous system (CNS) alter their metabolism in response to infection remains incompletely understood. Here, we examined whether the NAD+-dependent deacetylase SIRT1 is engaged during Zika virus (ZIKV) and West Nile virus (WNV) infection and whether its activity influences infection outcomes. SIRT1 activity increased in astrocytes isolated from infected mouse brains and in infected primary human astrocytes, but not in neurons or CNS myeloid cells. In astrocytes, infection induced transcriptomic, metabolomic, and functional changes consistent with SIRT1 activation, enhanced NAD+ salvage, and enhanced oxidative metabolism. Pharmacologic inhibition of SIRT1 or NAD+ salvage reduced ZIKV replication in astrocytes, whereas SIRT1 activation or supplementation with an NAD+ precursor increased replication. In mice, SIRT1 inhibition or nicotinamide (NAM) treatment reduced viral burden and mortality following ZIKV and WNV infection, while SIRT1 activation worsened disease. Together, these findings identify NAD+/SIRT1 as key regulators of cellular metabolism in infected astrocytes and support a role for this pathway in promoting orthoflavivirus replication and pathogenesis.

Identifiers

PMID42538899
PMCPMC13419388

What OpenQuestion holds

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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.