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Acidic Lysosome-Anchoring Croconium-Based Nanoplatform for Enhanced Triple-Mode Bioimaging and Fe<sup>3+</sup>-Triggered Tumor Synergistic Therapy

Pei-Dan You, Fei Lü, Chengren Ouyang, Yu J, Jorge González‐García, Jinxin Song, W.Y. Ni, Junping Wang, Caixia Yin, Chun‐Qiong Zhou

2024ACS Applied Materials & Interfaces13 citationsDOI

Abstract

Metal-modulated croconium dyes with multimodal-imaging and synergistic therapy in the tumor microenvironment have exhibited great potential in tumor theranostics. However, their unideal structure optimization always weakened the efficacy of near-infrared fluorescence–photoacoustic (NIRF/PA) imaging and photothermal therapy (PTT). Here, we screened croconium dye containing two indole groups with better NIRF/PA imaging and PTT in their family, linked to two morpholine rings, and obtained CR-736, as a lysosome-targeting and Fe 3+ -modulated agent. The established CR-736-Fe 3+ nanoplatform was accurately delivered to the breast tumor site, released CR-736 and Fe 3+ in the lower acidic lysosome microenvironment, and activated pH-responsive NIRF/PA/magnetic resonance imaging and PTT. Furthermore, ferroptosis generated hydroxyl free radicals and lipid peroxide by consuming GSH and H 2 O 2 by dint of the accumulation of Fe 3+ in tumor cells, which resulted in the inhibition of the expression of heat shock proteins and the concomitant recovery of PTT. The synergistic therapy of PTT, ferroptosis, and chemodynamics was further optimized to the maximal extent in tumor lysosome acidic microenvironment and proved both in vitro and a mouse tumor model. This study opens a new avenue in designing excellent and unique croconium-based nanoplatforms, synergizing multiple tumor theranostic methods, and further optimizing the theranostic effects in tumor microenvironment.

Topics & Concepts

Materials scienceAnchoringLysosomeNanotechnologyNuclear magnetic resonancePsychologySocial psychologyEnzymePhysicsNanoplatforms for cancer theranosticsNanoparticle-Based Drug DeliveryAdvanced biosensing and bioanalysis techniques