{"title":"Ultrasonic detection of α-synuclein amyloid seeds from a highly crowded environment.","authors":"Tomoki Ota, Kichitaro Nakajima, Keiichi Yamaguchi, Yuji Goto, Hirotsugu Ogi","doi":"10.1016/j.bpj.2025.06.006","DOIUrl":null,"url":null,"abstract":"<p><p>Detecting α-synuclein (α-Syn) amyloid seeds in biological fluids is a promising approach for the early diagnosis of Parkinson's disease. However, detecting subtle amounts of seeds in highly crowded environments remains challenging. Ultrasonication can enhance seed detection by efficiently fragmenting fibrils, but its effects in crowded environments have not been fully explored. In this study, we apply ultrasonication to detect α-Syn seeds in a highly crowded milieu and investigate its effects on seed detection. Our results show that ultrasonication enables rapid detection of α-Syn seeds with a detection limit of 10 pg/mL, even in the presence of 40 mg/mL serum albumin. Intriguingly, the amount of fibril formed depends on the initial seed concentration in a crowded environment only under ultrasonication. To understand this phenomenon, we theoretically analyze the kinetics of seed-dependent amyloid formation. The results suggest that ultrasonic cavitation induces the formation of a dead-end complex between serum albumin and α-Syn monomers, which can reduce false positives by suppressing seed-independent amyloid formation. These findings demonstrate ultrasonication as a powerful tool for the sensitive detection of α-Syn seed in clinical diagnostics.</p>","PeriodicalId":8922,"journal":{"name":"Biophysical journal","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysical journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.bpj.2025.06.006","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Detecting α-synuclein (α-Syn) amyloid seeds in biological fluids is a promising approach for the early diagnosis of Parkinson's disease. However, detecting subtle amounts of seeds in highly crowded environments remains challenging. Ultrasonication can enhance seed detection by efficiently fragmenting fibrils, but its effects in crowded environments have not been fully explored. In this study, we apply ultrasonication to detect α-Syn seeds in a highly crowded milieu and investigate its effects on seed detection. Our results show that ultrasonication enables rapid detection of α-Syn seeds with a detection limit of 10 pg/mL, even in the presence of 40 mg/mL serum albumin. Intriguingly, the amount of fibril formed depends on the initial seed concentration in a crowded environment only under ultrasonication. To understand this phenomenon, we theoretically analyze the kinetics of seed-dependent amyloid formation. The results suggest that ultrasonic cavitation induces the formation of a dead-end complex between serum albumin and α-Syn monomers, which can reduce false positives by suppressing seed-independent amyloid formation. These findings demonstrate ultrasonication as a powerful tool for the sensitive detection of α-Syn seed in clinical diagnostics.
期刊介绍:
BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.