Khaligh Soodeh Salimi, Khalid-Salako Fahd, Kurt Hasan, Yüce Meral
SUNUM Nanotechnology Research and Application Centre, Sabanci University, Istanbul 34956, Türkiye.
Department of Bioengineering, Royal School of Mines, Imperial College London, London SW7 2AZ, UK.
Biosensors (Basel). 2024 Dec 20;14(12):634. doi: 10.3390/bios14120634.
Vascular endothelial growth factor (VEGF) is a critical angiogenesis biomarker associated with various pathological conditions, including cancer. This study leverages pre-biotinylated FcγRI interactions with IgG1-type monoclonal antibodies to develop a sensitive VEGF detection method. Utilizing surface plasmon resonance (SPR) technology, we characterized the binding dynamics of immobilized biotinylated FcγRI to an IgG1-type antibody, Bevacizumab (AVT), through kinetic studies and investigated suitable conditions for sensor surface regeneration. Subsequently, we characterized the binding of FcγRI-captured AVT to VEGF, calculating kinetic constants and binding affinity. A calibration curve was established to analyze the VEGF quantification capacity and accuracy of the biosensor, computing the limits of blank, detection, and quantification at a 95% confidence interval. Additionally, the specificity of the biosensor for VEGF over other protein analytes was assessed. This innovative biomimetic approach enabled FcγRI-mediated site-specific AVT capture, establishing a stable and reusable platform for detecting and accurately quantifying VEGF. The results indicate the effectiveness of the plasmonic sensor platform for VEGF detection, making it suitable for research applications and, potentially, clinical diagnostics. Utilizing FcγRI-IgG1 antibody binding, this study highlights the industrial and clinical value of advanced biosensing technologies, offering insights to enhance therapeutic monitoring and improve outcomes in anti-VEGF therapies.
血管内皮生长因子（VEGF）是一种与包括癌症在内的各种病理状况相关的关键血管生成生物标志物。本研究利用预生物素化的FcγRI与IgG1型单克隆抗体的相互作用，开发了一种灵敏的VEGF检测方法。利用表面等离子体共振（SPR）技术，我们通过动力学研究表征了固定化生物素化FcγRI与IgG1型抗体贝伐单抗（AVT）的结合动力学，并研究了传感器表面再生的合适条件。随后，我们表征了FcγRI捕获的AVT与VEGF的结合，计算了动力学常数和结合亲和力。建立了校准曲线以分析生物传感器的VEGF定量能力和准确性，计算95%置信区间下的空白、检测和定量限。此外，还评估了生物传感器对VEGF相对于其他蛋白质分析物的特异性。这种创新的仿生方法实现了FcγRI介导的位点特异性AVT捕获，建立了一个稳定且可重复使用的平台，用于检测和准确定量VEGF。结果表明等离子体传感器平台用于VEGF检测的有效性，使其适用于研究应用以及潜在的临床诊断。利用FcγRI-IgG1抗体结合，本研究突出了先进生物传感技术的工业和临床价值，为加强治疗监测和改善抗VEGF治疗的结果提供了见解。
