Condensed Precision Medicine Protocol for ME/CFS
The study aims to establish a condensed personalized research protocol that can be used to characterize ME/CFS in individual patients as it pertains to all their unique biological aspects, interacting with a complex chronic disease.
Stress-Activated MicroRNAs
Studying microRNAs could help to bridge the conceptual gap between genetic predisposition and environmental factors causing ME/CFS or exacerbating specific symptoms.
Autoimmunity and Autoantibodies
The aim is to investigate potential differences in adrenergic and muscarinic receptor autoantibody levels in plasma and cerebrospinal fluid samples between ME/CFS patients and healthy controls.
Severely iIl Patient
The goal of the Severely ill Patient Study was to conduct a comprehensive “Big Data” analysis on severely ill ME/CFS patients in order to begin an exploration to find the molecular basis of ME/CFS.
Extended Big Data Study in Families
The goal of this study was to extend the Severely ill Patient Study and conduct a comprehensive “Big Data” analysis on ME/CFS patients and their families.
Personalized Automated Symptom Summary (PASS)
Researchers are developing a tool to help clinicians more efficiently define the character and priorities of a patient’s current symptoms of ME/CFS, Post-Treatment Lyme Disease, or Fibromyalgia.