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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

Study of COVID-19 survivors’ profiles
for detection of ME/CFS (SCOPIMED)

Development of an algorithm using our 11 microRNA diagnostic panel allowing the stratification of long COVID patients along different long-term sequelae trajectories:

  • ME/CFS, ME/CFS + FM or FM
  • Severe respiratory dysfunction
  • Neurological
  • Allergy-related.

BrainCheck neurocognitive evaluations prior and after the induction of PEM led us to stratify long COVID patients into four clusters using a machine-learning method.

  • Patients classified in cluster A and B exhibit a neurocognitive profile often seen in ME/CFS patients while long COVID patients in cluster C and D exhibit more often neurological sequelae.
  • Preliminary findings suggest that long COVID patients in cluster B exhibit a better recovery of their neurocognitive function than those in cluster A or C 
  • Next Steps: Validate these findings in a larger cohort.

STUDY HYPOTHESIS AND DESCRIPTION

Researcher pouring a red liquid from a beaker to a test tube.

The development of ME/CFS and related conditions like fibromyalgia (FM) among a subset of COVID-19 long-haulers is thought to be the result of a broad molecular-level reorganization occurring at the epigenetic level, which drives the host response following SARS-CoV-2 viral infection.

While ME/CFS researchers understand that many factors likely contribute to the onset of the condition, it is important to identify the risks of ME/CFS sequelae as early as possible. Studying the post-COVID-19 infected population may offer insight that helps ME/CFS patients by expanded understanding of the progression of the condition and identifying targeted treatment strategies. Finally, the study of COVID-19 long-haulers may shed light on ME/CFS and post-infectious fatigue syndrome following infections other than COVID-19.

OBJECTIVES

  • Recruit a cohort of 50 COVID-19 long haulers.
  • Conduct a study of the global circulating microRNA expression profiles. 
  • Perform global DNA methylation profiling.
  • Conduct epigenome-wide association analysis.