Renal Clearable Luminogenic Reporter for Ultrasensitive Influenza Virus Imaging and Efficient Antiviral Therapies Monitoring in Living Mice
ABSTRACT Influenza, which causes respiratory tract infections and related complications, poses a major threat to global public health. However, the rapid and accurate detection of influenza viruses in controlling the flu pandemic remains challenging, as current diagnostic methods are static and unable to distinguish between viable and nonviable virus or directly monitor viral replication dynamics. Herein, we report viral luminogenic reporters (VLRs) with chemiluminescence/fluorescence dual‐response for non‐invasive imaging and urinalysis of the H1N1 virus protease. VLR comprises a bicyclic dioxetane chemiluminophore signaling scaffold caged by a N‐acetylneuraminic acid, which further hooks a renal clearable moiety (2‐hydroxypropyl)‐β‐cyclodextrin. VLR achieves a limit of detection of 2.62 CCID 50 /mL in H1N1 virus detection, which was 10.4‐fold and 529.8‐fold lower than that of ICA‐qPCR and PMA‐qPCR assays. After intratracheal administration into H1N1 virus‐infected mice, VLR can efficiently accumulate in the lungs and specifically react with neuraminidase to restore its near‐infrared chemiluminescent/fluorescent signals for real‐time imaging. Leveraging the renal clearance (∼94% ID), VLR allows for remote detection of H1N1 virus infections and monitoring of antiviral therapeutic efficacy through in vitro urinalysis. Therefore, this study highlights a significant advance in addressing the critical gap in dynamic monitoring of virus replication activity and transforming virus‐specific probes into urinary reporters.
Authors
- Chudan Liang
- Meilin Hu (ORCID: https://orcid.org/0000-0001-8920-6934)
- Linna Liu (ORCID: https://orcid.org/0000-0003-4122-9998)
- Wenying Xu
- Jingjing Che
- Bingcai Jiang
- Jiaguo Huang (ORCID: https://orcid.org/0000-0003-4012-4406)
- Xiancai Ma (ORCID: https://orcid.org/0000-0002-4934-4221)
- Jun Qian
- Bankang Ruan
Institutions
- Sun Yat-sen University (CN)
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- Guangzhou Regenerative Medicine and Health Guangdong Laboratory (CN)
- Fujian Institute of Research on the Structure of Matter (CN)
- Guizhou Provincial People's Hospital (CN)
- Guangzhou Eighth People's Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-07-17
- DOI
- https://doi.org/10.1002/advs.76669
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Guangzhou Municipal Science and Technology Project