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Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME / CFS) Post Treatment Lyme Disease Syndrome (PTLDS), Fibromyalgia Leading Research. Delivering Hope.Open Medicine Foundation® Canada

Multi-Omics Study of ME/CFS (MAESTRO)

  • Identified 11 circulating microRNAs associated with PEM response and symptom severity
  • Developed a diagnostic test, the first of its kind for ME/CFS. 
  • Determined that the molecular stratification of ME/CFS patients along five clusters can predict the therapeutic response toward different pharmacological treatments.
  • Analyzed discordant identical twins (one having ME/CFS, the other being healthy) land discovered distinct DNA methylation profiles, which could explain specific symptoms associated with ME/CFS. 
  • Conducted neurocognitive evaluations prior and after the induction of PEM, and stratified ME/CFS patients into four clusters using a machine-learning method.
  • This project is now complete and the work continues through the REMEDIAL initiative.


A glowing DNA helix with a background of connected dots. Identifying ME/CFS biomarkers will aid in the development of disease risk prediction and improve the clinical stratification of symptomatic patients. Ultimately, the discovery of biomarkers may lead to diagnoses that are more accurate, disease prevention measures, and indications on how to treat ME/CFS effectively.

We also we intend to investigate specific targets to determine their clinical utility for the elaboration of novel therapeutic approaches to treat the main symptoms associated with ME/CFS (e.g., PEMS, POTS, sleep disturbances and fatigue). We intend to develop better clinical tools allowing clinicians to diagnose ME/CFS and select the best treatments to address their medical needs.


  • Deep phenotyping and longitudinal monitoring of PEM in severely ill patients
  • Genome-wide microRNA profiling to associate with PEM in discordant and concordant twins
  • DNA methylome (saliva) testing in discordant and concordant twins and across multiplex families
  • Whole-genome sequencing across multiplex families and unrelated cases.