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ME/CFS COLLABORATIVE RESEARCH CENTER AT STANFORD
OMF is continuing to fund the ME/CFS Collaborative Research Center at Stanford. These are the projects currently underway:
• T cells and immunology
Michael Sikora, in collaboration with Mark Davis, PhD, Lars Steinmetz, PhD, and Ron Davis, PhD, at Stanford University, will examine the role of T cells and immune-related genes in ME/CFS. This may help address the outstanding question of whether ME/CFS is an autoimmune or infectious disease, or simply an activation of the immune system.
Click here to read more about the plans for this study.
• Extended big data study in families
Fereshteh Kenari Jahaniani, PhD, in collaboration with Mike Snyder, PhD, and Ron Davis, PhD, of Stanford University, are generating multiple large datasets (genomics, gene expression, metabolomics, proteomics, and cytokines) in a cohort of patients and their families. By comparing patients to healthy blood relatives, we are more likely to understand what genes cause or contribute to the development of ME/CFS. This data will also be integrated with the Severely ill Patients (Big Data) Study (SIPS), providing important validation and extension of those findings.
Read and watch more about the multi-omics approach.
• Diagnostic and drug-screening technology development
Four technologies are being developed that could provide a biomarker for ME/CFS. Dr. Davis’s team is dedicated to developing these into inexpensive tests that can be easily used in a doctor’s office. In the future, all patients will be measured on all of these diagnostic platforms, enabling us to compare their efficacy and determine what combination of them will be most useful to export for diagnostic testing.
Click here to read more about the plans for this study.
1.
Nanoneedle: Rahim Esfandyarpour, PhD, in collaboration with Ron Davis, PhD, is validating and further developing the nanoneedle biosensor platform, which has shown promise as a blood-based diagnostic for ME/CFS. This is a nanofabricated device that measures electrical impedence from a drop of blood. Thus far, this test is able to distinguish ME/CFS patients from healthy controls. The technology will be optimized for easy clinical adoption and scaled up so that numerous FDA-approved drugs can be simultaneously screened as potential treatments.
Click here to read more about why a blood-based diagnostic could be a game-changer.
2.
Magnetic Levitation Device: Gozde Durmus, PhD, in collaboration with Ron Davis, PhD, has been developing a magnetic levitation device. This device uses a ferrofluid in a glass capillary surrounded by permanent magnets. This generates a density gradient and cells move to their respective densities in the capillary. Their position is imaged by a camera from a smart phone. It was discovered that white blood cells from ME/CFS patients are less dense than healthy controls. One patient was followed for several months, consistently showing a light density. It was further observed that there was a correlation between the lightness of the cells and the severity of symptoms. This could be a very inexpensive diagnostic test, and more patients will be tested in 2018.
3.
Red Blood Cell Deformability Test: Mohsen Nemat-Gorgani, PhD, of Stanford University, and Anand Ramasubramanian, PhD, of San Jose State University, in collaboration with Ron Davis, PhD, are developing a micro-fluidic device that measures blood flow and deformability of red blood cells. In preliminary results, the red blood cells of ME/CFS patients and healthy controls differ in their time of entry into a capillary, rate of movement through the capillary, and the extent of deformation of the cell in the capillary. This has the potential to be yet another biomarker that would only require a drop of blood. (
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4.
Mitochondrial Function Test: Julie Wilhelmy, in Dr. Davis’s lab, has developed a protocol using the Seahorse instrument that measures mitochondrial function. This protocol reveals a significant difference between activated T-cells of ME/CFS patients and healthy controls. The instrument is commercially available, which will allow other laboratories to easily reproduce our results.
• Metabolic Trap
Dr. Robert Phair, PhD, of Integrated Bioinformatics, Inc, has been working with Dr. Davis’s team at Stanford. He has found a metabolic pathway in ME/CFS patients that he hypothesizes to be stuck in a “trap” in an unhealthy state. His metabolic trap hypothesis emerged from genetic and metabolomics data from the Severely ill Patients Study (SIPS) combined with published enzymatic kinetics using mechanistic computational modeling. Dr. Phair and the team are eager to test this hypothesis as fast as possible, as it could be the underlying cause of ME/CFS and lead to effective treatment. (
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Read Health Rising's article about the Metabolic Trap
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