Omics · study · 2026
Ultrasound-Amplified Exosome Secretion and Antibody-Free SERS Profiling for APOE Genotype-Dependent Signatures
Listed in NCBI GEO
Exosomes offer a promising platform for non-invasive diagnosis of neurodegenerative diseases by encapsulating multiple biomarkers and crossing the blood–brain barrier.
Description
However, conventional exosome analyses often fail to capture subtle, genotype-specific pathological variations due to limited vesicle yield, low detection sensitivity, and reliance on predefined markers. Here, we present an integrated approach that combines ultrasound-induced exosome amplification with an antibody-free surface-enhanced Raman scattering (SERS) platform to sensitively detect genotype-dependent pathological differences.
By applying optimized low-intensity pulsed ultrasound (LIPUS), we achieved up to 100-fold enhancement in exosome secretion via the endosomal sorting complexes required for transport (ESCRT) pathway and monitored the dynamics of this amplification. To improve detection, we developed a gold-coated zinc oxide (ZnO) nanowire-based SERS substrate that amplifies exosomal signal intensity by more than fourfold without requiring antibodies.
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Using multiplex SERS profiling of intact exosomes combined with principal component analysis (PCA), we successfully distinguished apolipoprotein E (APOE) genotypes, improving the silhouette score from 0.37 to 0.5. Consistently, transcriptome analysis substantiates these findings by showing that LIPUS stimulation increased exosome secretion and upregulated exosome-related genes functionally related to Alzheimer's disease (AD).
These findings demonstrate that label-free, intact exosome profiling can reveal genotype-dependent pathological variations, supporting its potential utility in high-sensitivity precision diagnostics for AD.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE309nnn/GSE309078 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE309078 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1333919 ncbi.nlm.nih.gov/bioproject/PRJNA1333919 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE309078 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |