Evidence map›Paper›PMID 40771537›Full record

ArticleJournal of extracellular biology2025

Profiling RNA Cargo in Extracellular Vesicles From hiPSC-Derived Neurons of Alzheimer's Disease Patients.

Ram Sagar, Yiyao Huang, Daiyun Dong, Rachel J Boyd, Waqar Ahmed, Kenneth W Witwer, Vasiliki Mahairaki

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ram SagarDepartment of Genetic Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0002-4297-2639
Yiyao HuangDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Daiyun DongDepartment of Genetic Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.
Rachel J BoydDepartment of Genetic Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.
Waqar AhmedDepartment of Genetic Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.
Kenneth W WitwerDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Vasiliki MahairakiDepartment of Genetic Medicine Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0001-6281-5895

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Alzheimer's disease-specific extracellular vesicles: from pathology to novel biomarker discoveryRF1AG083801 · NIA · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI · 2023 to 2023
$2.4M
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR33MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2020 to 2022
$2.2M
NIA NIH HHS P30 AG066507NIA NIH HHS RF1 AG083801NIMH NIH HHS R33 MH118164
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a major neurodegenerative disorder that affects more than 55 million people, with an incidence that is projected to triple by 2050. Despite continuous advancements in the field, reliable treatment and early detection strategies remain elusive. Extracellular vesicles (EVs) play a major role in cellular communication throughout the body. In this study, we assessed the cargo of neuronal-specific EVs for their potential as AD biomarkers. We isolated EVs released from iPSC-derived excitatory glutamatergic neurons generated from eight AD patients (ADiNEVs) and six healthy controls (iNEVs). We performed RNA-sequencing and identified significant differences in RNA cargo between ADiNEVs and iNEVs. Notably, fewer small nuclear RNAs (snRNAs) were found in ADiNEVs. RNA transcripts significantly more abundant in ADiNEVs included

Identifiers

PMID40771537
PMCPMC12326322

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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.