Transmission Electron Microscopy-based characterization of Extracellular Vesicles from plasma and serum from Parkinson´s Disease patients.

IF 8.2 2区 生物学 Q1 CELL BIOLOGY
Alexander Weiss, Alex Florin Meissner, Fanni Annamária Boros, Martin Regensburger, Regina Verena Taudte, Andreu Matamoros-Angles, Philipp Arnold, Friederike Zunke
{"title":"Transmission Electron Microscopy-based characterization of Extracellular Vesicles from plasma and serum from Parkinson´s Disease patients.","authors":"Alexander Weiss, Alex Florin Meissner, Fanni Annamária Boros, Martin Regensburger, Regina Verena Taudte, Andreu Matamoros-Angles, Philipp Arnold, Friederike Zunke","doi":"10.1186/s12964-025-02383-w","DOIUrl":null,"url":null,"abstract":"<p><p>Parkinson's disease is a neurodegenerative disorder with no curative treatment option and objective biomarker profile. Extracellular Vesicles (EVs) are membrane-enclosed biological nanoparticles released from all cells of the human body. In this pilot study we compare plasma- and serum-derived EVs from Parkinson's disease (PD) patients and healthy controls (HC) utilizing a precipitation-based method. Additionally, we employ an L1CAM antibody to selectively enrich for L1CAM-positive EVs from the total plasma-/serum-derived EV fractions. Successful EV enrichment was shown in western blot experiments for CD63 and for L1CAM as well as in metabolomic analysis for a HC sample. In a side-by-side quantification,. which we based on transmission electron microscopic images from negative stain samples, we identify small but significant differences between EV diameter from PD patients and HC. To streamline the quantification process, we introduce an ImageJ-based computer algorithm for (semi-)automated quantification of EVs from negative stain electron micrographs. We observe that this (semi-)automated quantification determines a smaller diameter than manual quantification. However, the difference between PD and HC group is systematic and reveals the same relative differences calculated from manually measured total plasma-derived EV particles. In this pilot study, we introduce a new workflow implemented into an ImageJ plugin enabling to determine differences in EV size within TEM images. For our data set of plasma-derived EVs from PD patients and HC, we find small, yet consistent differences. We feel that this study contributes to the search of a clinical biomarker for PD.</p>","PeriodicalId":55268,"journal":{"name":"Cell Communication and Signaling","volume":"23 1","pages":"395"},"PeriodicalIF":8.2000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12445024/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Communication and Signaling","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s12964-025-02383-w","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Parkinson's disease is a neurodegenerative disorder with no curative treatment option and objective biomarker profile. Extracellular Vesicles (EVs) are membrane-enclosed biological nanoparticles released from all cells of the human body. In this pilot study we compare plasma- and serum-derived EVs from Parkinson's disease (PD) patients and healthy controls (HC) utilizing a precipitation-based method. Additionally, we employ an L1CAM antibody to selectively enrich for L1CAM-positive EVs from the total plasma-/serum-derived EV fractions. Successful EV enrichment was shown in western blot experiments for CD63 and for L1CAM as well as in metabolomic analysis for a HC sample. In a side-by-side quantification,. which we based on transmission electron microscopic images from negative stain samples, we identify small but significant differences between EV diameter from PD patients and HC. To streamline the quantification process, we introduce an ImageJ-based computer algorithm for (semi-)automated quantification of EVs from negative stain electron micrographs. We observe that this (semi-)automated quantification determines a smaller diameter than manual quantification. However, the difference between PD and HC group is systematic and reveals the same relative differences calculated from manually measured total plasma-derived EV particles. In this pilot study, we introduce a new workflow implemented into an ImageJ plugin enabling to determine differences in EV size within TEM images. For our data set of plasma-derived EVs from PD patients and HC, we find small, yet consistent differences. We feel that this study contributes to the search of a clinical biomarker for PD.

Abstract Image

Abstract Image

Abstract Image

基于透射电镜的帕金森病患者血浆和血清细胞外囊泡的表征。
帕金森病是一种神经退行性疾病,没有治愈的治疗选择和客观的生物标志物特征。细胞外囊泡(EVs)是从人体所有细胞中释放出来的膜封闭的生物纳米颗粒。在这项初步研究中,我们利用基于沉淀的方法比较了帕金森病(PD)患者和健康对照(HC)的血浆和血清来源的ev。此外,我们使用L1CAM抗体从血浆/血清衍生的EV总组分中选择性富集L1CAM阳性EV。CD63和L1CAM的western blot实验以及HC样品的代谢组学分析显示,EV富集成功。在并行量化中,。我们基于阴性染色样本的透射电镜图像,我们发现PD患者和HC患者的EV直径之间存在微小但显著的差异。为了简化定量过程,我们引入了一种基于imagej的计算机算法,用于(半)自动定量阴性染色电子显微镜下的ev。我们观察到,这种(半)自动化定量测定的直径比人工定量测定的直径小。然而,PD组和HC组之间的差异是系统性的,并且揭示了通过人工测量的等离子体衍生的EV粒子总量计算出的相同相对差异。在这个试点研究中,我们引入了一个新的工作流实现到ImageJ插件中,能够确定TEM图像中EV大小的差异。对于PD患者和HC患者的血浆源性ev数据集,我们发现微小但一致的差异。我们认为这项研究有助于寻找帕金森病的临床生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
11.00
自引率
0.00%
发文量
180
期刊介绍: Cell Communication and Signaling (CCS) is a peer-reviewed, open-access scientific journal that focuses on cellular signaling pathways in both normal and pathological conditions. It publishes original research, reviews, and commentaries, welcoming studies that utilize molecular, morphological, biochemical, structural, and cell biology approaches. CCS also encourages interdisciplinary work and innovative models, including in silico, in vitro, and in vivo approaches, to facilitate investigations of cell signaling pathways, networks, and behavior. Starting from January 2019, CCS is proud to announce its affiliation with the International Cell Death Society. The journal now encourages submissions covering all aspects of cell death, including apoptotic and non-apoptotic mechanisms, cell death in model systems, autophagy, clearance of dying cells, and the immunological and pathological consequences of dying cells in the tissue microenvironment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信