Abstract
Purpose
To investigate the feasibility of a pre-targeted imaging strategy based on the cycloaddition between 1,2,4,5-terazine (Tz) and trans-cyclooctene (TCO) for evaluating CD11b expression in inflammatory aortic aneurysm (AA) using single photon emission computed tomography/computed tomography (SPECT/CT).
Methods
C57BL/6J mice were fed β-aminopropionitrile (1 g/kg/day) for 4 weeks to establish AA models. Anti-CD11b-TCO was synthesized and 99mTc-HYNIC-PEG11-Tz was designed for pre-targeted SPECT/CT. The affinity and specificity of the probe for the inflammatory cell line Raw-264.7 were investigated. Then, anti-CD11b-TCO pre-targeted and 99mTc-HYNIC-PEG11-Tz based SPECT/CT were performed to detect in vivo inflammation in AA. Finally, ex vivo aortic breast-specific gamma imaging (BSGI), Western blot assays, and immunohistochemical CD11b staining were performed to confirm the in vivo findings of SPECT/CT.
Results
In the AA models, 65.22% (15/23) had aortic lesions, including 43.48% (10/23) AA lesions. The anti-CD11b-TCO presented with a high TCO coupling ratio (7.43), and the 99mTc-HYNIC-PEG11-Tz showed high radio-purity (>95%), good in vitro stability and a rapid clearance rate. Additionally, anti-CD11b-TCO and 99mTc-HYNIC-PEG11-Tz presented high click rate (~89%). The in vitro clicked compound, 99mTc-HYNIC-PEG11-Tz/TCO-anti-CD11b, showed high affinity and specificity for Raw-264.7 cells. 99mTc-HYNIC-PEG11-Tz/TCO-anti-CD11b pre-targeting SPECT/CT successfully demonstrated inflammatory AA with a high AA-to-background ratio in AA mice, compared to AA mice that were injected with 99mTc-HYNIC-Tz/TCO-IgG (8.13 versus 3.71, P < 0.001) and control mice injected with 99mTc-HYNIC-Tz/TCO-anti-CD11b (8.13 versus 3.66, P < 0.001). This result was confirmed by ex vivo BSGI performed immediately after SPECT/CT and immunohistochemical CD11b staining.
Conclusion
SPECT/CT imaging using the anti-CD11b-TCO/Tz-PEG11-HYNIC-99mTc based pre-targeting imaging strategy allows for the detection of inflammation in progressive AA.
Data Sharing Statement
The dataset used and/or analysed during the current study is available from the corresponding author on reasonable request.
Acknowledgments
We would like to thank for the technical supports from Prof. Shaoli Song and Dr. Jianping Zhang from Center of Biomedical Imaging, Fudan University, and Shanghai Engineering Research Center of Molecular Imaging Probes.
Disclosure
The authors declare that there is no conflicts of interest regarding this article.