journal article·2026-01-28

Targeted Supramolecular Senolytics by Enzyme-Responsive Disassembly and Intracellular Polymerization

Sangpil Kim, Jaeeun Lee, Yumi Cho, Hyun-Seo Park, Seung Hak Oh, Jiye Kim, Dohyun Kim, Youjung Sim, Min-Seok Seu, Chaekyu Kim, Sang Kyu Kwak, Ja-Hyoung Ryu

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Abstract

Recent evidence indicates that elimination of senescent cells from tissue can be a therapeutic approach to treat age-related disease, but selective targeting of senescent cells remains a challenge. Here, we report a dual-responsive self-assembly system selectively targeting senescent cells by responding to two hallmark features: elevated reactive oxygen species levels and increased alkaline phosphatase (ALP) activity. The engineered monomer ( p -Mito-1), bearing phosphate-protected thiol groups and mitochondrial-targeting moieties, assembles into zwitterionic bioinactive spherical nanostructures with low membrane affinity. In senescent cells, ALP-mediated dephosphorylation of p -Mito-1 triggers disassembly and mitochondrial accumulation of the deprotected monomer (Mito-1), followed by ROS-induced transformation into bioactive fiber structures via disulfide bond formation. This morphological transition exposes surface positive charges, facilitating mitochondrial membrane disruption and the selective activation of apoptosis in senescent cells. In vitro, p -Mito-1 showed selective cytotoxicity toward senescent RPE (SnC_RPE; IC 50 ≈ 80 μM) with negligible effects on normal RPE even at 200 μM. We further validated efficacy in an AMD-relevant model, where localized administration selectively depleted senescent RPE cells without overt local toxicity. Our findings demonstrate the potential of dual-responsive supramolecular systems for precise targeting of senescent cells and highlight a modular design strategy for aging-related disease intervention.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Supramolecular Self-Assembly in Materials · Telomeres, Telomerase, and Senescence · Advanced Nanomaterials in Catalysis

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

Affiliations

Department of Chemistry

UNIST

School of Energy and Chemical Engineering

Fusion Biotechnology

Department of Chemical and Biological Engineering

Korea University

GIST InnoCORE AI-Nano Convergence Institute for Early Detection of Neurodegenerative Diseases

Gwanjgu Institute of Science and Technology

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