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In vivo imaging of GLP-1R with a targeted bimodal PET/fluorescence imaging agent

  • Christian Brand
  • , Dalya Abdel-Atti
  • , Yachao Zhang
  • , Sean Carlin
  • , Susan M. Clardy
  • , Edmund J. Keliher
  • , Wolfgang A. Weber
  • , Jason S. Lewis
  • , Thomas Reiner
  • Weill Cornell Medical College
  • Massachusetts General Hospital

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

Accurate visualization and quantification of β-cell mass is critical for the improved understanding, diagnosis, and treatment of both type 1 diabetes (T1D) and insulinoma. Here, we describe the synthesis of a bimodal imaging probe (PET/fluorescence) for imaging GLP-1R expression in the pancreas and in pancreatic islet cell tumors. The conjugation of a bimodal imaging tag containing a near-infrared fluorescent dye, and the copper chelator sarcophagine to the GLP-1R targeting peptide exendin-4 provided the basis for the bimodal imaging probe. Conjugation was performed via a novel sequential one-pot synthetic procedure including 64Cu radiolabeling and copper-catalyzed click-conjugation. The bimodal imaging agent 64Cu-E4-Fl was synthesized in good radiochemical yield and specific activity (RCY = 36%, specific activity: 141 μCi/μg, >98% radiochemical purity). The agent showed good performance in vivo and ex vivo, visualizing small xenografts (<2 mm) with PET and pancreatic β-cell mass by phosphor autoradiography. Using the fluorescent properties of the probe, we were able to detect individual pancreatic islets, confirming specific binding to GLP-1R and surpassing the sensitivity of the radioactive label. The use of bimodal PET/fluorescent imaging probes is promising for preoperative imaging and fluorescence-assisted analysis of patient tissues. We believe that our procedure could become relevant as a protocol for the development of bimodal imaging agents.

Original languageEnglish
Pages (from-to)1323-1330
Number of pages8
JournalBioconjugate Chemistry
Volume25
Issue number7
DOIs
StatePublished - 16 Jul 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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