Adv Sci
Novel blood test for chronic fatigue syndrome has 91% accuracy
A novel blood test based on a single-cell Raman platform achieved 91 percent accuracy in distinguishing ME/CFS patients from healthy individuals and disease controls in this study led by University of Oxford scientists, with potential to help diagnose other unexplained chronic diseases such as long COVID and post-treatment Lyme disease syndrome.
- Scientists analyzed blood cells from 98 human subjects, including 61 ME/CFS patients of varying disease severity and 37 healthy and disease controls.
- Using a technique called Raman spectroscopy and an AI tool, researchers created a blood test that differentiates between the properties of peripheral blood mononuclear cells in individuals with and without ME/CFS.
- Raman profiles of blood cells were able to successfully distinguish between healthy individuals, disease controls, and ME/CFS patients with 91% accuracy.
- Raman profiles of blood cells were able to further differentiate between mild, moderate, and severe ME/CFS patients (84%).
Source:
Xu J, et al. (2013, August 31). Adv Sci (Weinh). Developing a Blood Cell-Based Diagnostic Test for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Using Peripheral Blood Mononuclear Cells. https://pubmed.ncbi.nlm.nih.gov/37653608/