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순천대학교

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Biosens. Bioelectron., Jan 29 2024, 250 S0956-5663(24)00088-5 | https://doi.org/10.1016/j.bios.2024.116085 Distinct plasma phosphorylated-tau proteins profiling for the differential diagnosis of mild cognitive impairment and Alzheimer's disease by plasmonic asymmetric nanobridge-based biosensor

Soohyun Kim ^a,1, Xingyi Ma ^b,1, Myeong Jin Jeon ^a, Sojin Song ^a, Jeong Seop Lee ^a, Jong Uk Lee ^c, Chan-Nyoung Lee ^d, Seong Hye Choi ^e, Sang Jun Sim^a

^aDepartment of Chemical and Biological Engineering, Korea University, Seoul, 02841, Republic of Korea

^bSchool of Science, Harbin Institute of Technology, Shenzhen, Guangdong, 518055, China

^cDepartment of Chemical Engineering, Sunchon National University, Jeollanam-do, 57922, Republic of Korea

^dKorea University Anam Hospital, Seoul, 02841, Republic of Korea

^eDepartment of Neurology, Inha University College of Medicine, Incheon, 22332, Republic of Korea

¹These authors contributed equally to this work.

Corresponding authors: Jong Uk Lee, Chan-Nyoung Lee, Seong Hye Choi, Sang Jun Sim

Abstract

The differential diagnosis between mild cognitive impairment (MCI) and Alzheimer's disease (AD) has been highly demanded for its effectiveness in preventing and contributing to early diagnosis of AD. To this end, we developed a single plasmonic asymmetric nanobridge (PAN)-based biosensor to differentially diagnose MCI and AD by quantitative profiling of phosphorylated tau proteins (p-tau) in clinical plasma samples, which revealed a significant correlation with AD development and progression. The PAN was designed to have a conductive junction and asymmetric structure, which was unable to be synthesized by the traditional thermodynamical methods. For its unique morphological characteristics, PAN features high electromagnetic field enhancement, enabling the biosensor to achieve high sensitivity, with a limit of detection in the attomolar regime for quantitative analysis of p-tau. By introducing support vector machine (SVM)-based machine learning algorithm, the improved diagnostic system was achieved for prediction of healthy controls, MCI, and AD groups with an accuracy of 94.47 % by detecting various p-tau species levels in human plasma. Thus, our proposed PAN-based plasmonic biosensor has a powerful potential in clinical utility for predicting the onset of AD progression in the asymptomatic phase.

논문정보

형식Research article
게재일2024년 01월 (BRIC 등록일 2024-02-15)
연구진국내(교신)+국외 연구진
분야 생명과학 > 생물공학

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