ArticleMicrobiology spectrum2025
Fluorofurimazine, a novel NanoLuc substrate, enhances real-time tracking of influenza A virus infection without altering pathogenicity in mice.
Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- NS-segment-based reporter influenza A viruses: engineering strategy, applications, and limitations.Journal of virology · 2026Review
- Applications of bioluminescence-mediated photodynamic therapy (BL-PDT) for the treatment of deep-seated tumours.Discover oncology · 2025Review
- Bioluminescent reporter influenza A viruses to track viral infections.Microbiology spectrum · 2025Article
- A human H5N1 influenza virus expressing bioluminescence for evaluating viral infection and identifying therapeutic interventions.iScience · 2025Article
- A Bioluminescent Imaging Mouse Model for Seasonal Influenza Virus Infection Based on a Pseudovirus System.Viruses · 2025Article
- Reporter-expressing viruses for antiviral drug discovery research.Frontiers in cellular and infection microbiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Bioluminescence imaging (BLI) using engineered bioluminescent viruses has emerged as a powerful tool for real-time, noninvasive monitoring of viral replication in living animals. While traditional luciferase-based systems, such as firefly luciferase, have been widely used, the NanoLuc luciferase system offers distinct advantages, including its significantly smaller gene size, increased brightness, and independence from ATP as a cofactor, allowing for extracellular detection. However, the utility of NanoLuc has been limited by its traditional substrate, furimazine, which exhibits poor water solubility and potential cytotoxicity. In this study, we assessed fluorofurimazine (FFz), a novel substrate with improved water solubility and bioavailability, for tracking influenza A virus (IAV) replication in mice. Our findings demonstrate that FFz substantially enhances detection sensitivity in both respiratory organs and brain tissue without increasing toxicity, enabling more precise and sustained monitoring of IAV replication. IMPORTANCE: Monitoring viral infections in living animals is a valuable approach for understanding how viruses replicate and cause disease. This study focuses on bioluminescent influenza A virus infection in a mouse model and evaluates fluorofurimazine, a new substrate that enhances bioluminescence imaging. Fluorofurimazine allows researchers to monitor viral spread more effectively than the traditional substrate, furimazine, which is often toxic and less reliable. It offers better sensitivity and lower toxicity, enabling longer and more accurate tracking of viral replication in the lungs and even the brain. Importantly, fluorofurimazine does not alter the pathogenicity of the virus, providing an unaltered representation of the infection process. This advancement has the potential to significantly improve how scientists study bioluminescent viral infections and evaluate antiviral drugs and vaccines, making it a valuable tool for research on influenza and other respiratory viruses.
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Registered trials
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.