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Modularized supramolecular assemblies for hypoxia-activatable fluorescent visualization and image-guided

Wen Liu1, Bincheng Wang1, Bei Guo1

  • 1Engineering Technology Research Center of Drug Carrier of Guangdong, Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China.

Theranostics
|July 1, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel theranostic platform that overcomes tumor hypoxia heterogeneity for improved cancer diagnosis and treatment. The hypoxia-activatable probe provides homogeneous fluorescence imaging, enabling precise image-guided surgery and photodynamic therapy.

Keywords:
Tumor heterogeneityfluorescent probehypoxiaphotodynamic therapysupramolecular assembly

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Area of Science:

  • Biomedical Engineering
  • Molecular Imaging
  • Theranostics

Background:

  • Hypoxia imaging is crucial for tumor diagnosis and treatment.
  • Tumor heterogeneity poses challenges for accurate hypoxia visualization.
  • Existing probes struggle with inconsistent signal detection in hypoxic regions.

Purpose of the Study:

  • To develop a modularized theranostic platform for fluorescently visualizing hypoxia.
  • To overcome tumor heterogeneity using light-modulated signal compensation.
  • To serve as a diagnostic tool for image-guided surgery and photodynamic therapy.

Main Methods:

  • Utilized supramolecular host-guest self-assembly to integrate fluorescence and photodynamic modules.
  • Implemented a cascaded "AND" logic gate for tumor enrichment and fluorescence activation.
  • Employed light-modulated signal compensation for homogeneous hypoxia signal detection.

Main Results:

  • Demonstrated dual tumor targeting for enhanced fluorescence.
  • Achieved selective signal compensation and extended imaging time windows.
  • Showcased improved photodynamic therapy efficacy via tumor glutathione depletion.

Conclusions:

  • The hypoxia-activatable theranostic platform effectively addresses tumor hypoxia heterogeneity.
  • The developed platform shows significant potential for image-guided cancer treatment.
  • Light-modulated signal compensation enables precise, normalized imaging for better therapeutic outcomes.