Evidence map›Paper›PMID 39279994›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Assessing Alzheimer's disease via plasma extracellular vesicle-derived mRNA.

Le Hoang Phu Pham, Ching-Fang Chang, Katherine Tuchez, Fei Liu, Yuchao Chen

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Extracellular RNAs as Messengers and Early Biomarkers in Neurodegeneration.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Extracellular vesicles in laboratory medicine: a review and outlook.Frontiers in cell and developmental biology · 2025
    Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Le Hoang Phu PhamWellSIM Biomedical Technologies Inc. San Jose California USA.
Ching-Fang ChangWellSIM Biomedical Technologies Inc. San Jose California USA.
Katherine TuchezWellSIM Biomedical Technologies Inc. San Jose California USA.
Fei LiuDepartment of Medicine Brigham and Women's Hospital Harvard Medical School Boston Massachusetts USA.
Yuchao ChenWellSIM Biomedical Technologies Inc. San Jose California USA.

Funding

National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
A Label-free Extracellular-vesicle Automated Purification System (LEAP System)R44GM144009 · NIGMS · WELLSIM BIOMEDICAL TECHNOLOGIES, INC. · PI CHEN, YUCHAO · 2022 to 2023
$1.5M
EXODUS-enabled High-throughput Multi-omics Profiling of Extracellular Vesicles for Diagnosis of Preclinical Alzheimer's DiseaseR41AG076098 · NIA · WELLSIM BIOMEDICAL TECHNOLOGIES, INC. · PI CHEN, YUCHAO, DONG, XIANJUN · 2021 to 2022
$362k
EXODOTS for diagnostic evaluation and monitoring of Alzheimer's diseaseR43AG080878 · NIA · WELLSIM BIOMEDICAL TECHNOLOGIES, INC. · PI CHEN, YUCHAO · 2022 to 2022
$292k
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R41 AG076098NIA NIH HHS R43 AG080878NIA NIH HHS U24 AG021886NIGMS NIH HHS R44 GM144009
6 · The paper itself

Abstract

introductionAlzheimer's disease (AD), the most prevalent neurodegenerative disorder globally, has emerged as a significant health concern. Recently it has been revealed that extracellular vesicles (EVs) play a critical role in AD pathogenesis and progression. Their stability and presence in various biofluids, such as blood, offer a minimally invasive window for monitoring AD-related changes.

methodsWe analyzed plasma EV-derived messenger RNA (mRNA) from 82 human subjects, including individuals with AD, mild cognitive impairment (MCI), and healthy controls. With next-generation sequencing, we profiled differentially expressed genes (DEGs), identifying those associated with AD.

resultsBased on DEGs identified in both the MCI and AD groups, a diagnostic model was established based on machine learning, demonstrating an average diagnostic accuracy of over 98% and showed a strong correlation with different AD stages. DISCUSSION: mRNA derived from plasma EVs shows significant promise as a non-invasive biomarker for the early detection and continuous monitoring of AD. Highlights: The study conducted next-generation sequencing (NGS) of mRNA derived from human plasma extracellular vesicles (EVs) to assess Alzheimer's disease (AD).Profiling of plasma EV-derived mRNA shows a significantly enriched AD pathway, indicating its potential for AD-related studies.The AD-prediction model achieved a receiver-operating characteristic area under the curve (ROC-AUC) of more than 0.98, with strong correlation to the established Clinical Dementia Rating (CDR).

Indexed as

AD diagnosticsAlzheimer's diseaseextracellular vesiclesmRNAnon‐invasive biomarkerRNA sequencing

Identifiers

PMID39279994
PMCPMC11399882

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.