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Abstract Details

RNA profiles to distinguish multiple sclerosis (MS) and neuromyelitis optica (NMO) in peripheral whole blood
Multiple Sclerosis
S9 - MS Biomarkers, Immunology, and Basic Science (3:54 PM-4:06 PM)
003

MRI imaging and antibodies against AQP4 have been used to differentiate MS from NMO. However, early in the disease course, some patients do not have imaging or clinical characteristics that distinguish the two disorders, particularly in AQP4 antibody negative patients. Currently, there are no blood-based biomarkers that alone confirm the presence or absence of MS or NMO.

 

Compare gene expression differences in the peripheral whole blood of patients with multiple sclerosis (MS) versus neuromyelitis optica (NMO), including differences in patients with NMO who are aquaporin-4 (AQP4) antibody positive (AQP4+) versus AQP4 negative NMO (AQP4-).

Total RNA-sequencing was used to examine coding and non-coding RNA expression profiles, immune repertoire composition, and biologic pathway activation. Whole blood from relapsing-remitting MS patients (n=105), NMO patients (AQP4+ = 39, AQP4- = 14), and healthy controls (n=70) was collected into PAXgene tubes. MS and NMO patient samples were obtained from the Accelerated Cure Project and were not on disease-modifying treatment. MS and NMO patients were screened for myelin oligodendrocyte glycoprotein (MOG) antibody status. Plasma neurofilament light chain (NfL) was assessed to determine underlying disease activity.

Differentially expressed genes, unique immune repertoire, and biologic pathway signatures with the greatest ability to differentiate among MS, NMO, and healthy controls were identified. Activation of pathways associated with antimicrobial responses and neutrophil activation were more prominent in NMO patients. Pathways associated with innate immune responses and type 1 interferons were enriched in the comparison of AQP4+ and AQP4- NMO patients.

These findings suggest that RNA-sequencing data derived from peripheral whole blood can identify the characteristic RNAs, immune repertoires, and pathways that distinguish MS from NMO and NMO AQP4+ versus AQP4- individuals. These approaches could lead to novel RNA-based biomarkers to identify patients with demyelinating diseases at their earliest stages and direct therapeutic management.

 

Authors/Disclosures
Lukasz Wylezinski, PhD (Decode Health Inc)
PRESENTER
Dr. Wylezinski has received personal compensation for serving as an employee of Decode Health. Dr. Wylezinski has stock in Decode Health. The institution of Dr. Wylezinski has received research support from Decode Health. Dr. Wylezinski has received intellectual property interests from a discovery or technology relating to health care.
No disclosure on file
No disclosure on file
No disclosure on file
No disclosure on file
Michael K. Racke, MD (Quest Diagnostics) Dr. Racke has received personal compensation for serving as an employee of Quest Diagnostics. Dr. Racke has stock in Quest Diagnostics. Dr. Racke has received intellectual property interests from a discovery or technology relating to health care.
Charles F. Spurlock III, PhD (Decode Health) Dr. Spurlock has received personal compensation for serving as an employee of Decode Health. Dr. Spurlock has received personal compensation for serving as an employee of New York University. Dr. Spurlock has received personal compensation for serving as an employee of IQuity Labs. Dr. Spurlock has stock in Decode Health. Dr. Spurlock has stock in IQuity Labs. The institution of Dr. Spurlock has received research support from National Institutes of Health.