Biomarkers in the diagnostic algorithm of myalgic encephalomyelitis/chronic fatigue syndrome

Dataset

Description

Purpose: searching for biomarkers in the diagnostic algorithm of myalgic encephalomyelitis / chronic fatigue syndrome (ME/CFS). 1) Age and gender data of 134 patients with ME/CFS, as well as the course of the disease. Age and gender data of 54 healthy individuals. 2) Detection of virus (HHV-6, HHV-7, B19) infection (latent or active) markers in peripheral blood of patients with ME/CFS and healthy individuals. 3) Detection of cytokine IFN-y, IL-17A, IL-2, IL-21, IL-23, IL-6, TNF-a levels in plasma samples using Luminex multiplex technology. 4) Detection of antibodies against b2 adrenergic receptors (AdR) and M3/M4 acetylcholine receptors (AChR) using ELISA. 5) Detection of activin B level using ELISA.
Date made available18 Nov 2022
PublisherRiga Stradins University
Temporal coverage6 Jan 2020 - 1 Sept 2022
Date of data production1 Sept 2022

Field of Science

  • 3.1 Basic medicine

Keywords

  • ME/CFS
  • β2AdR antibodies
  • AChR antibodies
  • HHV-6
  • biomarkers

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