Lee Seungju, Ryu Gwanghui, Shin Seyoung, Kim Woojin, Yoon Minyeong, Kim Yeji, Park Seongjun, Kim YongJoo, Cho Soo-Yeon
School of Chemical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Republic of Korea.
ACS Nano. 2025 Jan 14;19(1):950-962. doi: 10.1021/acsnano.4c12364. Epub 2024 Dec 23.
Rapid diagnosis of cerebrospinal fluid (CSF) leaks is critical as endoscopic endonasal skull base surgery gains global prominence. Current clinical methods such as endoscopic examination with and without intrathecal injection of fluorescent dye are invasive and rely on subjective judgment by physicians, highlighting the clinical need for label-free point-of-care (POC). However, a viable solution remains undeveloped due to the molecular complexity of CSF rhinorrhea mixed with nasal discharge and the scarcity of specific biomarkers, delaying sensor development. In this study, we accelerated the development of a label-free CSF detection method for clinical use using a nanoparticle corona. We engineered corona nanointerfaces on near-infrared (nIR) fluorescent single-walled carbon nanotubes (SWCNTs) through noncovalent functionalization with 12 custom-designed poly(ethylene glycol) (PEG) lipids. By high-throughput screening of the corona library for the CSF biomarker β-trace protein (βTP), we selected the optimal corona, achieving a limit of detection (LOD) down to 1.46 mg/L, maintaining its selectivity even in human nasal discharge. Using molecular dynamics and docking simulations, we characterized the 3D morphology and βTP binding energy of the optimal corona in a quantified way. The corona nanosensor accurately diagnosed CSF leakages from eight patients having lumbar drainage and one patient with CSF leakage due to diverse diseases without any sample preparations. By integrating the nanosensor with custom-designed in vivo and in vitro form factors such as a camera and endoscope, we showed its potential for versatile and practical use in clinical settings. This accelerated sensor development platform can meet future urgent clinical demands for various diseases and conditions.
随着鼻内镜下颅底手术在全球范围内日益受到重视,脑脊液(CSF)漏的快速诊断至关重要。目前的临床方法,如在内鞘内注射或不注射荧光染料的情况下进行内镜检查,具有侵入性且依赖医生的主观判断,这凸显了对无标记即时检测(POC)的临床需求。然而,由于脑脊液鼻漏与鼻腔分泌物混合的分子复杂性以及特定生物标志物的稀缺性,可行的解决方案仍未开发出来,这延缓了传感器的开发。在本研究中,我们利用纳米颗粒冠层加速了一种用于临床的无标记脑脊液检测方法的开发。我们通过用12种定制设计的聚乙二醇(PEG)脂质进行非共价功能化,在近红外(nIR)荧光单壁碳纳米管(SWCNT)上构建了冠层纳米界面。通过对脑脊液生物标志物β-微量蛋白(βTP)的冠层文库进行高通量筛选,我们选择了最佳冠层,检测限(LOD)低至1.46 mg/L,即使在人鼻腔分泌物中也能保持其选择性。通过分子动力学和对接模拟,我们以定量方式表征了最佳冠层的三维形态和βTP结合能。该冠层纳米传感器准确诊断了8例进行腰椎引流的患者以及1例因多种疾病导致脑脊液漏的患者的脑脊液漏,无需任何样品制备。通过将纳米传感器与定制设计的体内和体外外形因素(如相机和内窥镜)集成,我们展示了其在临床环境中通用和实际应用的潜力。这种加速的传感器开发平台可以满足未来对各种疾病和病症的紧急临床需求。