journal article·2026-02Open access

Monocyte‐Differentiation‐Activated Fluorescent “Scout” Probe for Precise in Vivo Detection of Vulnerable Plaque

Zechuan Li, Jiankai Dong, Zhengkun Liu, Chaoke Zhang, Jisen Li, Ying Tao, Ding Yang, Yansong Liu, Haoting Chen, Lu Liu, Jingsen Ji, Feng Cao, Dan Ding, Qian Liu, Chenxing Fu, Weisheng Guo

Advanced Science· Volume 13· Issue 9

Abstract

Abstract Precise identification of vulnerable plaque (VAP) is essential for the prevention of acute cardiovascular diseases, yet current molecular probes are hampered by poor VAP lesion penetration and high background. Here, the innate tropism of circulating inflammatory monocytes for VAP, and their differentiation‐driven expression of legumain (Lgmn) in response to the VAP microenvironment is exploited. A monocyte differentiation‐activated fluorescent (MDAF) probe is conceived that hitchhikes monocytes to precisely migrate to VAP and is activated by Lgmn during monocyte differentiation. This activation triggers in situ self‐assembly, resulting in spatiotemporally controlled aggregation‐induced emission (AIE) fluorescence signals, and turning the monocyte itself into an on‐site “scout” that reports plaque instability. In Apoe −/− mice bearing both vulnerable and stable plaques, the MDAF produces a striking OFF/ON fluorescence switch confined to vulnerable lesions, yielding a markedly improved signal‐to‐noise ratio (SNR). By integrating fluorescence emission computed tomography (FLECT), MDAF probe surpasses the depth limitations of conventional fluorescence imaging. Therefore, the AIE signal of the MDAF probe is more than just a “fluorescent read‐out,” and it also acts as a crucial safety switch that transforms the monocyte into a ratiometric immune scout for plaque instability. This innovative strategy offers a translatable approach for the precision diagnosis of VAP.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Immune cells in cancer · Cell Adhesion Molecules Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Cardiology Guangzhou Institute of Cardiovascular Disease Guangdong Key Laboratory of Vascular Diseases The Second Affiliated Hospital School of Biomedical Engineering Guangzhou Medical University Guangzhou 510260 China

Department of Cardiology The First Affiliated Hospital of Bengbu Medical University Bengbu 233000 China

School of Materials Science and Engineering University of Jinan Jinan 250022 China

Key Laboratory of Bioactive Materials for the Ministry of Education College of Life Sciences Nankai University Tianjin 300071 China

Department of Radiology Peking University Cancer Hospital & Institute Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing) Beijing 100142 China

Nanomedicine Research Center The Third Affiliated Hospital of Sun Yat‐sen University Guangzhou 510630 China

National Clinical Research Center for Geriatric Diseases The Second Medical Center Chinese PLA General Hospital Beijing 100853 China

Department of Urology Tianjin First Central Hospital Tianjin 300192 China

Funding

National Natural Science Foundation of China

References (35)

Show source-provided references
1. 10.1093/eurheartj/ehaa22710.1093/eurheartj/ehaa227 ↗
2. 10.1056/NEJM19990114340020710.1056/NEJM199901143400207 ↗
3. 10.1016/j.cell.2022.04.00410.1016/j.cell.2022.04.004 ↗
4. 10.1038/s41569-018-0119-410.1038/s41569-018-0119-4 ↗
5. 10.1161/CIR.000000000000112310.1161/CIR.0000000000001123 ↗
6. 10.1016/j.jacc.2007.04.08210.1016/j.jacc.2007.04.082 ↗
7. 10.1016/S0140-6736(21)00249-X10.1016/S0140-6736(21)00249-X ↗
8. 10.1016/S0735-1097(01)01799-510.1016/S0735-1097(01)01799-5 ↗
9. 10.1038/s41573-021-00198-110.1038/s41573-021-00198-1 ↗
10. 10.1038/s41569-021-00629-x10.1038/s41569-021-00629-x ↗
11. 10.1016/j.addr.2021.01.00510.1016/j.addr.2021.01.005 ↗
12. 10.1002/adma.20211066010.1002/adma.202110660 ↗
13. 10.1002/adfm.20240619210.1002/adfm.202406192 ↗
14. 10.1021/jacs.5c0003110.1021/jacs.5c00031 ↗
15. 10.1016/j.cclet.2021.10.05510.1016/j.cclet.2021.10.055 ↗
16. 10.1016/j.bioactmat.2024.03.01910.1016/j.bioactmat.2024.03.019 ↗
17. 10.1021/jacs.4c1506810.1021/jacs.4c15068 ↗
18. 10.1016/j.cclet.2021.02.05910.1016/j.cclet.2021.02.059 ↗
19. 10.1038/s41569-022-00769-810.1038/s41569-022-00769-8 ↗
20. 10.1093/eurheartj/ehv50810.1093/eurheartj/ehv508 ↗
21. 10.1016/j.jacc.2005.10.06510.1016/j.jacc.2005.10.065 ↗
22. 10.1172/JCI2995010.1172/JCI29950 ↗
23. 10.1038/s41572-019-0106-z10.1038/s41572-019-0106-z ↗
24. 10.1038/s41577-021-00584-110.1038/s41577-021-00584-1 ↗
25. 10.1161/CIRCRESAHA.118.31359110.1161/CIRCRESAHA.118.313591 ↗
26. 10.1126/sciadv.abf240010.1126/sciadv.abf2400 ↗
27. 10.1038/nrcardio.2009.22810.1038/nrcardio.2009.228 ↗
28. 10.1038/s41565-019-0619-310.1038/s41565-019-0619-3 ↗
29. 10.1002/adfm.20230315010.1002/adfm.202303150 ↗
30. 10.1038/s41467-019-12848-510.1038/s41467-019-12848-5 ↗
31. 10.1038/nnano.2014.6210.1038/nnano.2014.62 ↗
32. 10.1016/j.phrs.2021.10581910.1016/j.phrs.2021.105819 ↗
33. 10.1016/j.actbio.2024.05.01110.1016/j.actbio.2024.05.011 ↗
34. 10.1021/acsami.3c0957310.1021/acsami.3c09573 ↗
35. 10.34133/research.075410.34133/research.0754 ↗