ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Nanoscale flow cytometry-based quantification of blood-based extracellular vesicle biomarkers distinguishes MCI and Alzheimer's disease.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic value of blood p-tau subtypes in Alzheimer's disease progression and pathology: systematic review and meta-analysis.European archives of psychiatry and clinical neuroscience · 2026Pooled it
- Alzheimer's disease-like brain pattern biomarker: capturing risks and predicting disease onset.Molecular psychiatry · 2026Article
- Increased circulating TREM2Brain, behavior, & immunity - health · 2026Article
- MRI-to-PET synthesis via deep learning for amyloid-β quantification in Alzheimer's disease.European radiology · 2026Article
- In-Solution Characterization of Extracellular Vesicles: A New Approach to Evaluating Antibody Binding and Surface Interactions.Journal of extracellular vesicles · 2026Article
- In vitro, cellular and in vivo studies of amyloid oligomers structure and toxicity: Challenges and advances.Protein science : a publication of the Protein Society · 2026Review
- Tissue-derived extracellular vesicles: comparing Ts-EVs and Te-EVs in extraction, characteristics and research trends.Cancer cell international · 2026Review
- Alzheimer's Disease-Like Brain Pattern Biomarker: Capturing Risks and Predicting Disease Onset.Research square · 2025Article
- Central Nervous System-Derived Extracellular Vesicles as Biomarkers in Alzheimer's Disease.International journal of molecular sciences · 2025Review
- Extracellular particles: emerging insights into central nervous system diseases.Journal of nanobiotechnology · 2025Review
- Nanoscale flow cytometry-based quantification of blood-based extracellular vesicle biomarkers distinguishes MCI and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
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Authors and funding
18 authors.
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Abstract
introductionAccurate testing for Alzheimer's disease (AD) represents a crucial step for therapeutic advancement. Currently, tests are expensive and require invasive sampling or radiation exposure.
methodsWe developed a nanoscale flow cytometry (nFC)-based assay of extracellular vesicles (EVs) to screen biomarkers in plasma from mild cognitive impairment (MCI), AD, or controls.
resultsCirculating amyloid beta (Aβ), tau, phosphorylated tau (p-tau)181, p-tau231, p-tau217, p-tauS235, ubiquitin, and lysosomal-associated membrane protein 1-positive EVs distinguished AD samples. p-tau181, p-tau217, p-tauS235, and ubiquitin-positive EVs distinguished MCI samples. The most sensitive marker for AD distinction was p-tau231, with an area under the receiver operating characteristic curve (AUC) of 0.96 (sensitivity 0.95/specificity 1.0) improving to an AUC of 0.989 when combined with p-tauS235. DISCUSSION: This nFC-based assay accurately distinguishes MCI and AD plasma without EV isolation, offering a rapid approach requiring minute sample volumes. Incorporating nFC-based measurements in larger populations and comparison to "gold standard" biomarkers is an exciting next step for developing AD diagnostic tools. HIGHLIGHTS: Extracellular vesicles represent promising biomarkers of Alzheimer's disease (AD) that can be measured in the peripheral circulation. This study demonstrates the utility of nanoscale flow cytometry for the measurement of circulating extracellular vesicles (EVs) in AD blood samples. Multiple markers including amyloid beta, tau, phosphorylated tau (p-tau)181, p-tau231, p-tau217, and p-tauS235 accurately distinguished AD samples from healthy controls. Future studies should expand blood and cerebrospinal fluid-based EV biomarker development using nanoflow cytometry approaches.
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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.