Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AI-Assisted Digital Single-Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo-Oxidative Damage in High-Photon-Flux Enzymology.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Electrostatic-Driven Nucleobase Discrimination by Covalent Organic Framework Nanosheets for Deoxyribonucleic Acid Methylation Profiling.

Journal of the American Chemical Society·2026
Same author

CRISPR-AD: Combinational Detection of Blood Protein and miRNA with Digital CRISPR-Based Assay Enable to Improve the Diagnostic Performance of Alzheimer's Disease.

Analytical chemistry·2026
Same author

Dynamic Interaction: Synthetic Biology and Cell-Free Biosensors Drive Each Other Forward.

ACS nano·2025
Same author

Deep Learning-Enabled Real-Time Single-Shot Refocusing of Microwell Array for Digital Melting Curve Analysis.

Analytical chemistry·2025
Same author

Spatial Transcriptomics and snRNA-seq Expose CAF Niches Orchestrating Dual Stromal-Immune Barriers in Hepatocellular Carcinoma.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025

Related Experiment Video

Updated: May 31, 2026

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry
12:27

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Published on: July 26, 2022

Brain-Derived Extracellular Vesicle Subpopulations: from Bulk Measurements to Single-Entity Assays.

Shiyao Bai1,2, Leyi Chen1,2, Wenjing Zhang1,2

  • 1Department of Biomedical Engineering, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.

JACS Au
|May 29, 2026
PubMed
Summary

Brain-derived extracellular vesicles (BDEVs) show promise as biomarkers for neurodegenerative diseases (NDs). Novel isolation and detection methods, including AI, are needed to overcome challenges in identifying these rare EVs for early diagnosis.

Keywords:
EV detectionbiomarkersbrain derived extracellular vesicles (BDEVs)early diagnosisneurodegenerative diseases (NDs)

More Related Videos

Harnessing the Power of MicroRNA Cargoes in Small Extracellular Vesicles Released from Fresh-Frozen Human Brain Sections
07:55

Harnessing the Power of MicroRNA Cargoes in Small Extracellular Vesicles Released from Fresh-Frozen Human Brain Sections

Published on: November 8, 2024

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

Related Experiment Videos

Last Updated: May 31, 2026

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry
12:27

Single Extracellular Vesicle Transmembrane Protein Characterization by Nano-Flow Cytometry

Published on: July 26, 2022

Harnessing the Power of MicroRNA Cargoes in Small Extracellular Vesicles Released from Fresh-Frozen Human Brain Sections
07:55

Harnessing the Power of MicroRNA Cargoes in Small Extracellular Vesicles Released from Fresh-Frozen Human Brain Sections

Published on: November 8, 2024

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

Area of Science:

  • Biomarkers
  • Neuroscience
  • Biotechnology

Background:

  • Neurodegenerative diseases (NDs) like Alzheimer's and Parkinson's affect millions globally.
  • Current diagnostic methods lack sensitivity and specificity, particularly in early disease stages.
  • There is a critical need for novel, sensitive, and specific biomarkers for early ND detection.

Purpose of the Study:

  • To review advanced isolation and detection technologies for brain-derived extracellular vesicles (BDEVs).
  • To explore the integration of these technologies with artificial intelligence (AI) and big data analysis.
  • To highlight the potential of BDEVs as noninvasive biomarkers for NDs.

Main Methods:

  • Discussion of rationally designed isolation and detection technologies for EVs from brain cell subpopulations.
  • Contrast between traditional bulk measurements and emerging single-entity assays.
  • Integration of EV analysis with AI and big data for enhanced diagnostic capabilities.

Main Results:

  • Single-entity assays can bypass biological noise to resolve rare BDEV subpopulations.
  • Advanced technologies offer potential for noninvasive detection of NDs.
  • Challenges in EV isolation and detection require standardized methodologies.

Conclusions:

  • BDEVs hold significant potential as noninvasive biomarkers for early diagnosis of neurodegenerative diseases.
  • Development of standardized isolation and detection methods, particularly single-entity assays, is crucial.
  • Integration with AI and point-of-care testing (POCT) will advance BDEV biomarker utility.