Endometriosis-targeted MRI imaging using bevacizumab-modified nanoparticles aimed at vascular endothelial growth factor.
Qi ZhangShiman WuYajie LiMao LaiQing LiCaixia FuZhenwei YaoJunhai ZhangPublished in: Nanoscale advances (2023)
Endometriosis is a tumor-like disease with high recurrence. In this case, the accurate imaging-based diagnosis of endometriosis can help clinicians eradicate it by improving their surgical plan. However, although contrast agents can improve the visibility of the tissue of interest in vivo via magnetic resonance imaging (MRI), the lack of biomarkers in endometriosis hinders the development of agents for its targeted imaging and diagnosis. Herein, aiming at the enriched vascular endothelial growth factor (VEGF) in endometriosis, we developed a targeting MRI contrast agent modified with bevacizumab, i.e. , NaGdF 4 @PEG@bevacizumab-Cy5.5 nanoparticles (NPBCNs), to detect endometriosis. NPBCNs showed negligible cytotoxicity and high affinity towards VEGF in endometrial cells in vitro . Furthermore, NPBCNs generated a strong signal enhancement in vivo in endometriosis lesions in rats in T 1 -weighted images via MRI at 3 days post-injection, as confirmed by the histopathological staining results and fluorescence imaging on the same day. Our approach can enable NPBCNs to target endometriosis effectively, thus avoiding missed diagnoses.
Keyphrases
- vascular endothelial growth factor
- contrast enhanced
- magnetic resonance imaging
- fluorescence imaging
- high resolution
- magnetic resonance
- endothelial cells
- diffusion weighted imaging
- computed tomography
- cancer therapy
- drug delivery
- deep learning
- induced apoptosis
- mass spectrometry
- network analysis
- endoplasmic reticulum stress