[ 64 Cu]Cu-PEG-FUD peptide for noninvasive and sensitive detection of murine pulmonary fibrosis.
Hye Jin LeeKsenija BernauThomas J HarrZachary T RosenkransGrace A KesslerKristen StottAngie Tebon OlerBabita RaharTerry ZhuYadira Medina-GuevaraNikesh GuptaInyoung ChoMetti K GariBrian M BurkelJustin J JefferyAshley M WeichmannBianca R Tomasini-JohanssonSuzanne M PonikJohnathan W EngleReinier HernandezGlen S KwonNathan SandboPublished in: Science advances (2024)
Idiopathic pulmonary fibrosis (IPF) is a chronic lung disease resulting in irreversible scarring within the lungs. However, the lack of biomarkers that enable real-time assessment of disease activity remains a challenge in providing efficient clinical decision-making and optimal patient care in IPF. Fibronectin (FN) is highly expressed in fibroblastic foci of the IPF lung where active extracellular matrix (ECM) deposition occurs. Functional upstream domain (FUD) tightly binds the N-terminal 70-kilodalton domain of FN that is crucial for FN assembly. In this study, we first demonstrate the capacity of PEGylated FUD (PEG-FUD) to target FN deposition in human IPF tissue ex vivo. We subsequently radiolabeled PEG-FUD with 64 Cu and monitored its spatiotemporal biodistribution via μPET/CT imaging in mice using the bleomycin-induced model of pulmonary injury and fibrosis. We demonstrated [ 64 Cu]Cu-PEG-FUD uptake 3 and 11 days following bleomycin treatment, suggesting that radiolabeled PEG-FUD holds promise as an imaging probe in aiding the assessment of fibrotic lung disease activity.
Keyphrases
- idiopathic pulmonary fibrosis
- disease activity
- pulmonary fibrosis
- systemic lupus erythematosus
- rheumatoid arthritis
- extracellular matrix
- pet ct
- rheumatoid arthritis patients
- drug delivery
- sensitive detection
- ankylosing spondylitis
- interstitial lung disease
- aqueous solution
- juvenile idiopathic arthritis
- high resolution
- decision making
- quantum dots
- endothelial cells
- metal organic framework
- high glucose
- type diabetes
- oxidative stress
- diabetic rats
- combination therapy
- metabolic syndrome
- artificial intelligence
- type iii
- deep learning
- single molecule
- pet imaging
- smoking cessation
- fluorescence imaging