A corrole nanobiologic elicits tissue-activated MRI contrast enhancement and tumor-targeted toxicity

Jessica D Sims1, Jae Youn Hwang2, Shawn Wagner3

  • 1Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Insights

This study explores manganese-metallated corroles for MRI contrast enhancement and tumor-targeted therapy. These novel agents show promise for improved tumor imaging and treatment delivery.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Medical Imaging

Background:

  • Water-soluble corroles are fluorescent and used in pre-clinical optical imaging and photosensitization.
  • Limited tissue penetration of excitation wavelengths restricts their clinical use.
  • Corroles offer potential for advanced imaging and therapeutic applications.

Purpose of the Study:

  • To evaluate corroles as MRI contrast agents.
  • To assess tumor-selective delivery using a targeted polypeptide.
  • To investigate the therapeutic potential of protein-corrole assemblies.

Main Methods:

  • Manganese-metallated corroles were synthesized and characterized.
  • Tumor-targeted polypeptides were used to encapsulate corroles.
  • MRI contrast enhancement and cellular uptake mechanisms were studied.
  • In vitro cytotoxicity and therapeutic efficacy were evaluated.

Main Results:

  • Manganese corroles significantly shortened T1 relaxation, enhancing MRI contrast post-tissue uptake.
  • Cellular entry, not low pH, enabled MRI contrast enhancement.
  • The protein-corrole particle (HerMn) demonstrated tumor-selective toxicity via mitochondrial and cytoskeletal disruption.
  • HerMn showed improved therapeutic efficacy compared to existing targeted therapies.

Conclusions:

  • HerMn facilitates tumor-targeted toxicity and tumor-selective MRI after systemic delivery and internalization.
  • Corrole-based nanoparticles represent a promising platform for combined cancer imaging and therapy.
  • Further clinical translation is warranted based on pre-clinical efficacy and biodistribution data.