Omics · dataset · 2026
Data and code from: Microfluidic nanomagnetically isolated neuron- and astrocyte-derived extracellular vesicles to differentiate Lewy body and Alzheimer’s disease
Listed in DataCite
Identifying plasma-based biomarkers that can accurately differentiate Lewy body disease (LBD) from Alzheimer’s disease (AD) remains a major challenge.
Description
Extracellular vesicles (EVs), which carry molecular cargo from their parent cells and can cross the blood-brain barrier, offer a new path forward. We developed the multiplexed Track-Etch magnetic NanoPOre (mTENPO) platform, a highly parallelized microfluidic technology for cell-specific EV isolation, and demonstrated independent enrichment of GluR2+ (neuron-derived) and GLAST+ (astrocyte-derived) EVs from the antemortem plasma of 137 autopsy-confirmed LBD, AD, mixed pathology, and control subjects.
By integrating miRNA sequencing of GluR2+ and GLAST+ EV cargo with plasma measurements of Aβ40, Aβ42, tau, p-Tau181, and p-Tau231, we identified a multimodal 15-feature panel that more comprehensively reflects brain pathology than conventional biomarkers. Using 10-fold cross-validation to mitigate overfitting, the panel achieved an accuracy of 0.95 and an area under the curve of 0.96 for distinguishing LBD versus AD.
Links
Where it is published
- Repository landing page datadryad.org/dataset/doi:10.5061/dryad.612jm64j4 ↗
landing page · from DataCite
- DOI doi.org/10.5061/dryad.612jm64j4 ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
- IsCitedBy 10.1038/s44328-026-00086-x doi.org/10.1038/s44328-026-00086-x ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.5061/dryad.612jm64j4 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.5061/dryad.612jm64j4 ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Engineering and technology · Medical and health sciences · Medical biotechnology
- From keywords
- RNA sequencing
- Inferred from text
- Disease 75% · Sequencing 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.5061/dryad.612jm64j4 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].fos:engineering-and-technology | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:medical-and-health-sciences | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:medical-biotechnology | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:rna-seq | mapping · DataCite | vocabulary-mapper@1.0.0 | keywords['RNA sequencing'] |
| concepts[modality].local:modality:sequencing | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| version_label | source · DataCite | connector:datacite@1.0.0 |