Encoding Biological Selectivity Through Positional Isomerism of Phosphindole Oxide AIEgens for Targeted Photodynamic Therapy
Discriminating biological targets via their intrinsic biophysical signatures offers a promising alternative to classical lock-and-key recognition, yet remains constrained by simplistic design. Herein, we present a programmable molecular strategy that leverages configurational isomerism on a phosphindole oxide (PIO) scaffold as a decisive variable for encoding biological selectivity. Strategic substitution at geometrically defined positions generates isomeric pairs with distinct conformational preferences, aqueous self-assembly behaviors, and surface electrostatic landscapes. These isomer-dependent divergences translate into sharply differentiated biological staining patterns. One isomer enables selective labeling of cancer over normal mammalian cells and preferential engagement with bacterial versus mammalian cells, while its counterpart functions as a broad-spectrum staining agent. By integrating with the inherent photodynamic activity of the PIO framework, we achieve effective tumor suppression and accelerated healing of infected wounds in vivo with favorable biosafety. This work establishes positional isomerism as a generalizable design dimension for encoding biophysical selectivity, providing molecular-level guidance for next-generation theranostic and precision medicine platforms.
Authors
- Zujin Zhao (ORCID: https://orcid.org/0000-0002-0618-6024)
- Zeyan Zhuang
- Ben Zhong Tang (ORCID: https://orcid.org/0000-0002-0293-964X)
- Yiwen Liao (ORCID: https://orcid.org/0000-0002-5125-2502)
- Ping Jiang (ORCID: https://orcid.org/0009-0005-8347-7422)
- Jianqing Li
Institutions
- Guangzhou First People's Hospital (CN)
- Chinese University of Hong Kong, Shenzhen (CN)
- Guangdong Academy of Medical Sciences (CN)
- South China University of Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2026-07-22
- DOI
- https://doi.org/10.1002/adma.74291
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00