Evidence map›Paper›PMID 40661348›Full record

ArticlebioRxiv : the preprint server for biology2025

Brain-derived extracellular vesicle microRNAs in Lewy body and Alzheimer's disease.

Stephanie J Yang, Andrew A Lin, Hanfei Shen, Laura W Pappalardo, Griffin B Spychalski, Jean Rosario, Leah K Forsberg, Kiera M Grant, Rodolfo Savica, Sid O'Bryant and 9 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Stephanie J YangDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-2465-3896
Andrew A LinDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Hanfei ShenDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Laura W PappalardoDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
Griffin B SpychalskiDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jean RosarioDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Leah K ForsbergDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Kiera M GrantDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Rodolfo SavicaDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Sid O'BryantHealth Science Center at Fort Worth, University of North Texas, Fort Worth, TX 76107, USA.
David T JonesDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-4807-9833
Dennis W DicksonDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.ORCID 0000-0001-7189-7917
R Ross ReichardDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-0842-2462
Aivi T NguyenDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-1809-9451
David F MeaneyDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Bradley F BoeveDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-4153-8187
Owen A RossDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
Pamela J McLeanDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA.
David IssadoreDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Ronald G Collman · 1999 to 2026
$78.6M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI KEJAL KANTARCI · 2019 to 2026
$33.5M
Longitudinal Imaging Biomarkers of Prodromal DLBU01NS100620 · NINDS · MAYO CLINIC ROCHESTER · PI Bradley F Boeve, KEJAL KANTARCI · 2017 to 2026
$19.2M
Utilization of proteomics and lipidomics to identify modifiers of LBDU54NS110435 · NINDS · MAYO CLINIC JACKSONVILLE · PI MCLEAN, PAMELA J · 2019 to 2023
$14.5M
NCI NIH HHS P30 CA016520NIAID NIH HHS P30 AI045008NIA NIH HHS P30 AG062677NIA NIH HHS U01 AG006786NINDS NIH HHS U01 NS100620NINDS NIH HHS U54 NS110435
6 · The paper itself

Abstract

introductionRobust plasma-based biomarkers to distinguish Lewy body disease (LBD) and Alzheimer's disease (AD) are currently lacking. We applied track-etch magnetic nanopore (TENPO) sorting for enrichment of brain-derived extracellular vesicle (EV) signatures as potential biomarkers to address this gap.

methodsWe analyzed plasma from 137 autopsy-confirmed patients [30 LBD, 31 AD, 30 AD/LBD, 19 AD with amygdala Lewy bodies (AD/ALB), and 27 controls], sequencing miRNAs from TENPO-isolated GluR2-positive (neuron-enriched) and GLAST-positive (astrocyte-enriched) EVs, and measuring plasma proteins (Aβ40, Aβ42, tau, p-Tau181, p-Tau231) via SIMOA.

resultsWe identified 16 GluR2+, 8 GLAST+, and 4 protein biomarkers with differential expression (false discovery rate-corrected DISCUSSION: Brain-derived EVs offer accurate and accessible miRNA biomarkers for the differential diagnosis of LBD and AD.

Indexed as

Alzheimer’s diseaseastrocyteextracellular vesiclesLewy body diseasemicrofluidicsmicroRNAneurodegenerative dementianeuronplasma biomarkersprotein biomarkers

Identifiers

PMID40661348
PMCPMC12258949

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.