Fluorescein videoangiography data analysis protocol for mapping retinal vascular permeability in humans.
Fluorescein videoangiography data analysis protocol for mapping retinal vascular permeability in humans.
复制标题
用于绘制人类视网膜血管通透性的荧光素视频血管造影数据分析协议。
DOI:
10.1117/12.2650304
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Tichauer,KennethM
中科院分区:
文献类型:
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作者:
Vavrek,Sarah;Kayaalp-Nalbant,Elif;Konopek,Nicholas;Bou-Ghanem,Ghazi;Fawzi,AmaniA;Mieler,WilliamF;Kang-Mieler,JenniferJ;Tichauer,KennethM
Binding kinetics play an important role in cancer diagnosis and therapeutics. However, current methods of quantifying binding kinetics fail to consider the three-dimensional environment that drugs and imaging agents experience in biological tissue. In response, a methodology to assay agent binding and dissociation in 3-D tissue culture was developed using paired-agent molecular imaging principles. To test the methodology, the uptakes of ABY-029 (an IRDye 800CW-labeled epidermal growth factor receptor (EGFR)-targeted antibody mimetic) and IRDye-700DX carboxylate in 3-D spheroids were measured in four different human cancer cell lines throughout staining and rinsing. A compartment model (optimized for the application) was then fit to the kinetic curves of both imaging agents to estimate binding and dissociation rate constants of the EGFR-targeted ABY-029 agent. A statistically significant correlation was observed between apparent association rate constant (k3) and the receptor concentration experimentally and in simulations (r= 0.99,p< 0.05). A statistically significant difference was found between effectivek3(apparent rate constant of ABY-029 binding to EGFR) values for cell lines with varying levels of EGFR expression (p< 0.05), with no significant difference found between cell lines and controls for other fit parameters. Additionally, a similar binding affinity profile compared to a gold standard method was determined by this model. This low-cost methodology to quantify imaging agent or drug binding affinity in clinically relevant 3-D tumor spheroid models can be used to guide timing of imaging in molecular guided surgery and could have implications in drug development.