Search
Close this search box.

Computational
Research Center
for Complex Diseases

From Data to Disease Mechanism and Treatments

About the research center

Each OMF funded study is selected, with oversight from our Scientific Advisory Board, for its ability to provide meaningful data that will fuel the search for treatment and diagnosis. This data is essential to develop diagnostic technologies, understand the molecular basis of the diseases, and uncover effective diagnostic tools and treatments. Under the direction of Wenzhong Xiao, PhD,  the Computational Research Center for Complex Diseases analyzes and integrates the data from OMF funded studies, an essential step in developing diagnostics and treatments.

Chercheuse en laboratoire regardant le moniteur
Wenzhong Xiao, headshot

Dr. Xiao is a world expert in computational genomics and the Director of the Immuno-Metabolic Computational Center at Massachusetts General Hospital (MGH), Harvard Medical School. He also leads a Computational Genomics Group at Stanford Genome Technology Center (SGTC). His research is at the interface of computation, genomics and medicine. In collaboration with Open Medicine Foundation, his lab has analyzes studies on ME / CFS and compares ME / CFS with other diseases.

Active/Ongoing Studies

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.

Post-viral Encephalopathy

This study provides an excellent opportunity to understand the mechanism of long-lasting viral-induced cognitive complications, commonly referred to as “brain fog.”

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.

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.

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..

Long COVID Clinic Studies

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

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.

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.

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.

SUPPORT OMF Funded Critical Research

Please help us expand our research efforts across the globe. Every donation brings us closer to a fully-funded research effort and the answers we all seek.

Learn about Our Other OMF Funded Collaborative Research Centers