A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
The research aimed to stimulate post-exertional malaise at a cellular level used a high-salt environment to simulate hypersmotic stress white blood cells from patients who met both the Canadian Consensus Criteria for ME/CFS and the more common CDC chronic fatigue syndrome criteria; the test correctly identified all patients with ME/CFS and all healthy controls.
Isolated PBMCs from patient's blood were incubated in their own plasma. Stressing the PBMCs should cause excessive consumption of the high-energy metaboliate ATP. The study investigators stated that this type of salt stress has previously been used in this way in a number of human, animal and other studies.
Funding[edit | edit source]
Abstract[edit | edit source]
There is not currently a well-established, if any, biological test to diagnose myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The molecular aberrations observed in numerous studies of ME/CFS blood cells offer the opportunity to develop a diagnostic assay from blood samples. Here we developed a nanoelectronics assay designed as an ultrasensitive assay capable of directly measuring biomolecular interactions in real time, at low cost, and in a multiplex format. To pursue the goal of developing a reliable biomarker for ME/CFS and to demonstrate the utility of our platform for point-of-care diagnostics, we validated the array by testing patients with moderate to severe ME/CFS patients and healthy controls. The ME/CFS samples’ response to the hyperosmotic stressor observed as a unique characteristic of the impedance pattern and dramatically different from the response observed among the control samples. We believe the observed robust impedance modulation difference of the samples in response to hyperosmotic stress can potentially provide us with a unique indicator of ME/CFS. Moreover, using supervised machine learning algorithms, we developed a classifier for ME/CFS patients capable of identifying new patients, required for a robust diagnostic tool.
Results[edit | edit source]
Criticism[edit | edit source]
- Only patients with ME/CFS and healthy controls were compared. The test was not tried for patients with other fatiguing or neurological illness.
- Small sample size
Investigators[edit | edit source]
- Biochemistry research engineer at Stanford, and assistant professor in Electrical Engineering and Computer Science, University of California, Irvine
- Stanford Genome Technology Center and Department of Biochemistry, School of Medicine, Stanford University
- Stanford Genome Technology Center and Department of Biochemistry, School of Medicine, Stanford University, and Director of the Scientific Advisory Board of the Open Medicine Foundation
Citation[edit | edit source]
Esfandyarpour, R., Kashi, A., Nemat-Gorgani, M., Wilhelmy, J., and Davis, R. W. "A Nanoelectronics-blood-based Diagnostic Biomarker for Myalgic Encephalomyelitis/chronic Fatigue Syndrome (ME/CFS)." Proceedings of the National Academy of Sciences, April 29, 2019, 201901274. doi:10.1073/pnas.1901274116.
Commentary from scientists[edit | edit source]
- Press release: Stanford University
- Biomarker test for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome - American Medical Association
News articles and blogs[edit | edit source]
- Nanoelectric device could lead to a diagnostic blood test for ME/CFS - Simon McGrath
- Threading the needle nanoneedle scores big in first ME/CFS test - Cort Johnson, Health Rising
- Medscape: Biomarker May Be a Diagnostic Test for ME/CFS - Medscape
- Blood test for chronic fatigue syndrome could speed diagnosis, study says - The Independent
Learn more[edit | edit source]
- Press release: Stanford University
- New OMF-funded Research Publication: A Nanoelectronics-blood-based diagnostic biomarker for ME/CFS
- OMF/Ron Davis Research Update - May 2019 (Video)
See also[edit | edit source]
References[edit | edit source]
- Davis, R. W.; Wilhelmy, J.; Nemat-Gorgani, M.; Kashi, A.; Esfandyarpour, R. (Apr 25, 2019). "A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)". Proceedings of the National Academy of Sciences: 201901274. doi:10.1073/pnas.1901274116. ISSN 0027-8424. PMID 31036648.
- "Browse School of Medicine | Stanford Medicine Profiles". med.stanford.edu. Retrieved May 9, 2019.
- University of California. "Rahim Esfandyarpour | The Henry Samueli School of Engineering at UC Irvine". engineering.uci.edu. Retrieved May 9, 2019.
- Open Medicine Foundation (Aug 15, 2018). "Meet Mohsen Nemat-Gorgani, PhD, member of the SGTC Team". Open Medicine Foundation. Retrieved May 9, 2019.
- Open Medicine Foundation (Jul 25, 2018). "Meet Julie Wilhelmy, ME/CFS Collaborative Research Center at Stanford Team Member". Open Medicine Foundation. Retrieved May 9, 2019.