Data · dataset · 2026
Biomarkers in the Diagnostic Algorithm of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
Listed in Riga Stradins University dataverse
Purpose: searching for biomarkers in the diagnostic algorithm of myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS).
Description
The dataset contains demographic and clinical information from 134 ME/CFS patients and 54 healthy controls, including age, gender, and the course of the disease. It also includes data on latent and active infection markers of human herpesvirus 6 (HHV-6), human herpesvirus 7 (HHV-7), and parvovirus B19 (B19V), determined in peripheral blood samples using molecular (PCR) and serological (ELISA) methods.
Immunological data comprise plasma levels of IFN-γ, IL-17A, IL-2, IL-21, IL-23, IL-6, and TNF-α measured using Luminex multiplex technology, as well as concentrations of activin B and autoantibodies against β2-adrenergic receptors (β2-AdR) and muscarinic acetylcholine receptors M3 and M4 (M3/M4-AChR) determined by ELISA. Molecular data include the expression levels of circulating microRNAs hsa-miR-448, hsa-miR-124-3p, hsa-miR-551b-3p, hsa-miR-127-3p, hsa-miR-142-5p, hsa-miR-143-3p, hsa-miR-140-5p, hsa-miR-150-5p, hsa-miR-361-5p, and hsa-miR-186-5p, analysed by quantitative real-time PCR in RNA extracted from plasma samples.
Read the rest (1 more)
The exogenous spike-in control ath-miR-159a was used for normalization and quality control of miRNA expression measurements. The data is provided in files: "miRNA.csv", containing all miRNA expression data from both ME/CFS patients and healthy controls; "ME CFS all-viruses-anti-cytokines.csv", containing demographic, clinical, virological, immunological, activin B, and autoantibody data for ME/CFS patients; and "Healthy-viruses-anti-cytokines.csv", containing the corresponding demographic, virological, immunological, activin B, and autoantibody data for healthy controls.
Links
Where it is published
- Dataverse dataset page dataverse.rsu.lv/dataset.xhtml?persistentId=doi%3A10.48510%2FFK2%2FFLLDQX ↗
landing page · from dataverse rsu lv
- DOI doi.org/10.48510/fk2/flldqx ↗
DOI / persistent id · from dataverse rsu lv
Catalogue records · 1
- Dataverse API dataverse.rsu.lv/api/datasets/:persistentId/?persistentId=doi%3A10.48510%2FFK2%… ↗
metadata API · from dataverse rsu lv
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Disease 75% · Oncology and carcinogenesis 71%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Riga Stradins University dataverse | doi:10.48510/FK2/FLLDQX | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:disease | enrichment · dataverse rsu lv | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · dataverse rsu lv | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| created_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| description | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /description |
| publication_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| title | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /name |
| updated_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| version_label | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 |