Source abstract
Abstract
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.
Source: openalex_inverted_index · Quality: baseline
Affiliations
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
Department of Materials Science and Engineering, Kookmin University, Seoul 02707, Republic of Korea
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
College of Transdisciplinary Innovations, Seoul National University, Seoul 08826, Republic of Korea
Department of Biomedical Sciences, Seoul National University, Seoul 03080, Republic of Korea
Department of Materials Science and Engineering, Korea University, Seoul 02841, Republic of Korea
Funding
National Research Foundation of Korea