Researchers identify key biomarkers for chronic fatigue syndrome

When cells expire, they leave behind an activity log of sorts: RNA expelled into blood plasma that reveal changes in gene expression, cellular signaling, tissue injury and other biological processes.

Cornell researchers developed machine-learning models that can sift through this cell-free RNA and identify key biomarkers for myalgic encephalomyelitis, also known as chronic fatigue syndrome (ME/CFS). The approach could lead to the development of diagnostic testing for a debilitating disease that has proved challenging to confirm in patients…