Update Spring 2018:
Severely Ill Big Data Study – This study, led by Ronald W. Davis, PhD, and Wenzhong Xiao, PhD, included over 1,000 tests per patient, producing, to our knowledge, the biggest dataset ever generated in a cohort of ME/CFS patients.
This big data study examined the patients’ genome, gene expression, metabolomics, microbiome, cell-free DNA sequencing and quantitation, and cytokines, as well as a range of tests typically performed by clinicians.
In 2017, the focus of the study was on analysis, data integration, and making the dataset available to researchers at The Stanford End ME/CFS Data Center (registration required). Click here to read more about the objectives and types of data gathered in this study.
Differences in metabolites, microbiomes, cytokines, and several clinical test results were observed between patients and controls.
No significant differences were found for any major DNA viruses between patients and controls using cell-free DNA from the blood. By using cell-free DNA it was possible to look for even the viruses that can hide behind the blood-brain barrier escaping detection by normal means.
In addition, the blood of patients was examined for new pathogens by isolating particles from the blood and using DNA sequencing. No new pathogens were found.