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Zhao X, Yang C, Chen X, Sun Y, Liu W, Ge Q, Yang J. Characteristic fingerprint spectrum of α-synuclein mutants on terahertz time-domain spectroscopy. Biophys J 2024; 123:1264-1273. [PMID: 38615192 PMCID: PMC11140463 DOI: 10.1016/j.bpj.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/02/2024] [Accepted: 04/11/2024] [Indexed: 04/15/2024] Open
Abstract
α-Synuclein, a presynaptic neuronal protein encoded by the SNCA gene, is involved in the pathogenesis of Parkinson's disease. Point mutations and multiplications of α-synuclein (A30P and A53T) are correlated with early-onset Parkinson's disease characterized by rapid progression and poor prognosis. Currently, the clinical identification of SNCA variants, especially disease-related A30P and A53T mutants, remains challenging and also time consuming. This study aimed to develop a novel label-free detection method for distinguishing the SNCA mutants using transmission terahertz (THz) time-domain spectroscopy. The protein was spin-coated onto the quartz to form a thin film, which was measured using THz time-domain spectroscopy. The spectral characteristics of THz broadband pulse waves of α-synuclein protein variants (SNCA wild type, A30P, and A53T) at different frequencies were analyzed via Fourier transform. The amplitude A intensity (AWT, AA30P, and AA53T) and peak occurrence time in THz time-domain spectroscopy sensitively distinguished the three protein variants. The phase φ difference in THz frequency domain followed the trend of φWT > φA30P > φA53T. There was a significant difference in THz frequency amplitude A' corresponding to the frequency ranging from 0.4 to 0.66 THz (A'A53T > A'A30P > A'WT). At a frequency of 0.4-0.6 THz, the transmission T of THz waves distinguished three variants (TA53T > TA30P > TWT), whereas there was no difference in the transmission T at 0.66 THz. The SNCA wild-type protein and two mutant variants (A30P and A53T) had distinct characteristic fingerprint spectra on THz time-domain spectroscopy. This novel label-free detection method has great potential for the differential diagnosis of Parkinson's disease subtypes.
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Affiliation(s)
- Xiaofang Zhao
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Chenlong Yang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Xin Chen
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Yu Sun
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Weihai Liu
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China
| | - Qinggang Ge
- Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China
| | - Jun Yang
- Department of Neurosurgery, Peking University Third Hospital, Beijing, China; Center for Precision Neurosurgery and Oncology of Peking University Health Science Center, Beijing, China.
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Lin T, Huang Y, Zhong S, Shi T, Sun F, Zhong Y, Zeng Q, Zhang Q, Cui D. Passive trapping of biomolecules in hotspots with all-dielectric terahertz metamaterials. Biosens Bioelectron 2024; 251:116126. [PMID: 38367565 DOI: 10.1016/j.bios.2024.116126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/12/2024] [Accepted: 02/11/2024] [Indexed: 02/19/2024]
Abstract
Electromagnetic metamaterials feature the capability of squeezing photons into hotspot regions of high intensity near-field enhancement for strong light-matter interaction, underpinning the next generation of emerging biosensors. However, randomly dispersed biomolecules around the hotspots lead to weak interactions. Here, we demonstrate an all-silicon dielectric terahertz metamaterial sensor design capable of passively trapping biomoleculars into the resonant cavities confined with powerful electric field. Specifically, multiple controllable high-quality factor resonances driven by bound states in the continuum (BIC) are realized by employing longitudinal symmetry breaking. The dielectric metamaterial sensor with nearly 15.2 experimental figure-of-merit enabling qualitative and quantitative identification of different amino acids by delivering biomolecules to the hotspots for strong light-matter interactions. It is envisioned that the presented strategy will enlighten high-performance meta-sensors design from microwaves to visible frequencies, and serve as a potential platform for microfluidic sensing, biomolecular capture, and sorting devices.
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Affiliation(s)
- Tingling Lin
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Yi Huang
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China.
| | - Shuncong Zhong
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China.
| | - Tingting Shi
- School of Economics and Management, Minjiang University, Fuzhou, 350108, China
| | - Fuwei Sun
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Yujie Zhong
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Qiuming Zeng
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Qiukun Zhang
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China; Institute of Precision Instrument and Intelligent Measurement & Control, Fuzhou University, Fuzhou, 350108, China
| | - Daxiang Cui
- Department of Bio-Nano Science and Engineering, Shanghai Jiaotong University, Shanghai, 200030, China
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