Omics · study · 2026
Extracellular vesicle protein and miRNA signatures as biomarkers for post-infectious ME/CFS patients
Listed in NCBI GEO
Post-infectious Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a chronic disease with a yet unresolved pathophysiology and sparse diagnostic options.
Description
Extracellular vesicles (EVs) serve as carriers of disease-specific protein and microRNA (miRNA) signatures. We aim to identify novel miRNA markers as potential biomarker in isolated plasma EVs from female post-COVID-19 ME/CFS patients in comparison to healthy controls (HCs).
EVs were isolated from plasma of post-infectious ME/CFS patients and HCs by size exclusion chromatography, and characterized for their number, size, morphology and surface marker expression. Small RNA sequencing identifed four small RNAs, which are significantly differential expressed between ME/CFS patients and healthy donors. Subsequently performed qPCR studies revealed significant downregulation exclusively for the hsa-let-7b-5p miRNA in EVs from ME/CFS patients versus HCs.
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Notably, reduced hsa-let-7b-5p expression correlated with impaired physical functioning as well as increased fatigue, pain, and immune activation scores. Our data indicate, that hsa-let-7b-5p could serve as a promising candidate for development as diagnostic and stratification marker of ME/CFS.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE317nnn/GSE317067 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE317067 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1405735 ncbi.nlm.nih.gov/bioproject/PRJNA1405735 ↗
project · from NCBI GEO
- PubMed 41828537 pubmed.ncbi.nlm.nih.gov/41828537 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Homo sapiens · Non-coding RNA profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE317067 | 13 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:non-coding-rna-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |