Early Prediction of Radiation-Induced Pulmonary Fibrosis Using Gastrin-Releasing Peptide Receptor-Targeted PET Imaging.
Heesu AhnJi-Hee KimKyo Chul LeeJi Ae ParkJung Young KimYoon-Jin LeeYong Jin LeePublished in: Molecular pharmaceutics (2022)
Early diagnosis of radiation-induced pulmonary fibrosis (RIPF) in lung cancer patients after radiation therapy is important. A gastrin-releasing peptide receptor (GRPR) mediates the inflammation and fibrosis after irradiation in mice lungs. Previously, our group synthesized a GRPR-targeted positron emission tomography (PET) imaging probe, [ 64 Cu]Cu-NODAGA-galacto-bombesin (BBN), an analogue peptide of GRP. In this study, we evaluated the usefulness of [ 64 Cu]Cu-NODAGA-galacto-BBN for the early prediction of RIPF. We prepared RIPF mice and acquired PET/CT images of [ 18 F]F-FDG and [ 64 Cu]Cu-NODAGA-galacto-BBN at 0, 2, 5, and 11 weeks after irradiation ( n = 3-10). We confirmed that [ 64 Cu]Cu-NODAGA-galacto-BBN targets GRPR in irradiated RAW 264.7 cells. In addition, we examined whether [ 64 Cu]Cu-NODAGA-galacto-BBN monitors the therapeutic efficacy in RIPF mice ( n = 4). As a result, the lung uptake ratio (irradiated-to-normal) of [ 64 Cu]Cu-NODAGA-galacto-BBN was the highest at 2 weeks, followed by its decrease at 5 and 11 weeks after irradiation, which matched with the expression of GRPR and was more accurately predicted than [ 18 F]F-FDG. These uptake results were also confirmed by the cell uptake assay. Furthermore, [ 64 Cu]Cu-NODAGA-galacto-BBN could monitor the therapeutic efficacy of pirfenidone in RIPF mice. We conclude that [ 64 Cu]Cu-NODAGA-galacto-BBN is a novel PET imaging probe for the early prediction of RIPF-targeting GRPR expressed during the inflammatory response.
Keyphrases
- pet imaging
- positron emission tomography
- radiation induced
- aqueous solution
- pet ct
- radiation therapy
- metal organic framework
- inflammatory response
- computed tomography
- oxidative stress
- deep learning
- cancer therapy
- drug delivery
- high throughput
- single cell
- toll like receptor
- locally advanced
- lipopolysaccharide induced
- insulin resistance
- lps induced
- convolutional neural network