We fund and support collaborative research to develop and validate blood-based biomarkers — across DNA methylation, proteomics, and metabolomics — that make the diagnosis, monitoring, and treatment of MS more precise, earlier, and less invasive.
Because behind every result is a person waiting for better answers.
The Multiple Sclerosis Biomarker Consortium is a nonprofit organization dedicated to funding rigorous, collaborative research into biomarkers for multiple sclerosis. We support studies that turn measurable biology — read from a simple blood sample across DNA methylation, proteomics, and metabolomics — into tools that help clinicians and patients make better decisions at every stage of the disease. We work in partnership with leading academic and clinical research institutions, and we believe the data our research generates should be shared to move the entire field forward.
We prioritize research on biomarkers — drawing on epigenomic, proteomic, and metabolomic data — that address the decisions patients and clinicians face most often, where better tools could make the greatest difference.
Biomarkers that help identify multiple sclerosis earlier and more confidently, reducing reliance on more invasive or resource-intensive testing.
Biomarkers that anticipate how the disease is likely to change over time, so that worsening can be recognized and addressed before disability accrues.
Biomarkers that help match patients to the disease-modifying therapy most likely to work for them, and that support monitoring of treatment response.
MS leaves signatures across many layers of biology. We fund research that reads those signatures from a single blood draw across three complementary molecular layers — and integrates them into more precise, actionable biomarkers.
Epigenomics. Chemical marks on DNA that reflect immune activity, environmental exposure, and biological aging — a stable, information-rich signal for detecting MS and tracking its course.
The proteome. Proteins circulating in blood that report on inflammation, neuro-axonal injury, and disease activity — a functional readout of what the body is doing right now.
The metabolome. Small-molecule metabolites that capture the downstream state of metabolism and immune function, adding a complementary dimension that sharpens prediction.
By integrating the epigenome, proteome, and metabolome, the research we fund aims for biomarkers with greater biological resolution than any single measurement alone — applied across diagnosis, progression, and treatment response.
We direct philanthropic funding toward well-designed, adequately powered studies in deeply characterized patient cohorts.
We partner with academic centers, clinical research programs, and analytical laboratories, bringing complementary expertise together around shared goals.
We believe research data should be a durable resource. Data generated through our work is stewarded so it can advance discovery beyond any single study.
We support work with a clear path from discovery to validation, so that promising biomarkers can move toward clinical usefulness.
The consortium was founded by leaders in epigenetics and preventive health, united by a commitment to advancing multiple sclerosis research.
Ryan Smith is the founder of TruDiagnostic, a CLIA-certified laboratory and health-data company focused on DNA methylation and preventive medicine. He studied biochemistry at Transylvania University and trained in medicine before turning to translational research. Earlier work in pharmaceutical compounding convinced him that the field needed better tools to measure health and aging — the idea that led him to found TruDiagnostic in 2020. Since then he has helped build one of the world's largest epigenetic datasets, spanning more than 100,000 individuals, and supported dozens of clinical studies developing methylation-based measures of aging, inflammation, immune function, and disease, in collaboration with researchers at Duke, Harvard, Yale, UCSF, and Ohio State. Ryan's commitment to multiple sclerosis is personal: his partner lives with MS, and that experience drives his belief that better, less invasive biomarkers can transform how the disease is diagnosed, monitored, and treated. He founded the Multiple Sclerosis Biomarker Consortium to direct philanthropic support toward that goal.
Emily Yates is a Doctor of Clinical Laboratory Science (DCLS) candidate at the University of Texas Medical Branch and a certified Medical Laboratory Scientist with more than a decade of experience in clinical laboratory science and laboratory leadership. She holds a Bachelor of Science and a Master of Business Administration, combining a strong scientific foundation with extensive experience in healthcare operations and leadership. Throughout her career she has held progressive leadership roles spanning laboratory operations, regulatory compliance, quality improvement, strategic planning, test utilization, and the implementation of new laboratory technologies and processes. Her DCLS training has deepened her focus on evidence-based laboratory medicine, clinical research, and the role laboratory data can play in answering complex clinical questions and improving patient care.
Her involvement in multiple sclerosis advocacy and research is deeply personal. Living with MS herself and having family members affected by the disease, Emily understands that behind every laboratory result, research dataset, and clinical outcome is a person waiting for better answers — a perspective that strengthens her commitment to advancing meaningful, scientifically rigorous research toward a better understanding of MS and better options for the people and families affected by it.
As our own research program gets underway, we're highlighting landmark studies that show how measurable biology — from a blood sample and beyond — is reshaping how multiple sclerosis is understood, diagnosed, and monitored.
A landmark analysis following more than ten million U.S. military personnel showed that Epstein-Barr virus infection dramatically raises MS risk — powerful evidence that measurable signals in blood can precede the disease by years.
Foundational work establishing blood neurofilament light chain (NfL) as a measurable marker of neuronal damage — now the most widely studied blood biomarker for tracking MS disease activity and treatment response.
Whole-blood DNA methylation carried MS disease signal independent of known genetic risk, implicating B cells and monocytes and reinforcing methylation as a rich, blood-based window into the disease.
Whole-blood methylation patterns classified how severe a person's MS was, showing that epigenetic data captures clinically meaningful differences beyond diagnosis alone.
Immune cells from people with MS showed accelerated epigenetic aging, linking biological age measured from DNA methylation to MS biology and progression.
Highlighted publications reflect influential research across the MS biomarker field and are shared for educational purposes; they are not works of the Consortium unless noted.
Every contribution and collaboration moves MS biomarker science forward.
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