JOURNAL ARTICLE
Molecular Imaging of Renin Activity using Fluorogenic Nanoprobes for Precision Antihypertensive Therapy.
Published In: Angewandte Chemie, 2025, v. 137, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Zhou, Ya; Xu, Weiping; Ruan, Bankang; Zhu, Lijuan; Jiang, Yuyan; Cai, Hui; Huang, Jiaguo 3 of 3
Abstract
Life‐threatening hypertension remains inadequately controlled in clinics due to its heterogeneous renin levels. Rapid stratification of hypertension through renin analysis is crucial for effective personalized treatment, yet an ultrasensitive detection approach is currently lacking. Here, we report activatable renin nanoprobes (ARNs) for non‐invasive and ultrasensitive profiling of renin activity and guiding antihypertensive treatment decision through near‐infrared fluorescence (NIRF) in vivo imaging and in vitro urinalysis. ARNs are intrinsically non‐fluorescent due to NIRF reporter connected to a gold nanocluster through a renin‐responsive peptide. In hyperreninemia mouse models, ARNs specifically react with renin to liberate the renal clearable NIRF reporter for accurate renin detection that outperforms the gold standard radioimmunoassay. Such specific and sensitive detection also enables imaging‐based high‐throughput screening of antihypertensive drugs. In hypertensive rat models, ARNs enable ultrasensitive detection of both plasma and urinary renin, facilitating renin‐guided precision treatment and significantly improving hypertension control rate (90 % versus 58 %). Our nanoprobe platform holds great potential for assisting clinicians in rapidly and accurately classifying hypertensive patients and improving outcomes through tailored treatment selection. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Angewandte Chemie. 2025/01, Vol. 137, Issue 4, p1
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0044-8249
- DOI:10.1002/ange.202416002
- Accession Number:184015769
- Copyright Statement:Copyright of Angewandte Chemie is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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