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iCPET Omics Studies of ME/CFS

This Harvard study evaluates the different explanations of heart preload failure in ME/CFS patients to determine which is active in many, if not all, ME/CFS patients. The Computation Center is now seeking to better understand the causes of ME/CFS (PLF, the high flow type) as well as to identify potential drug targets for future therapies.

OMF Data Center

The purpose of the OMF Data Center is to house raw data and processed results, which is shared with our research network through the web-based data portal.

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.

Long COVID Clinic Studies

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The clinic in Uppsala continues the work of the OMF-Funded MultiCenter Collaborative Study on COVID to ME/CFS progression.

Deep Proteome and Metabolome Profiling

Decode the molecular mechanisms underlying ME/CFS and contributing to specific symptoms with a particular emphasis of post-exertional malaise (PEM). This includes deep phenotyping of ME patients and global proteomic/metabolomics plasma profiling of ME..

Sleep Disturbance in ME/CFS

We intend to examine multiple sleep studies that have been conducted in the past two years and performed at the MGH Neurology Sleep Medicine Laboratory in well characterized patients with ME/CFS.