Abstract Details

Title A Super Series of Extracellular Non-coding RNA in Cerebrospinal Fluid Reveals Broad Patterns Associated with Neurologic Diseases

Topic Aging, Dementia, and Behavioral Neurology

Presentation(s) P5 - Poster Session 5 (8:00 AM-9:00 AM)

Poster/Presentation
Number 10-004

Objective In this work, we aggregate existing cohorts to define the largest series of extracellular circulating non-coding RNA (exncRNA) in the CSF from patients with neurologic diseases. The goals of this work are to identify i) broad patterns of conserved expression of CSF exncRNA in neurologic diseases, and ii) identify conditions where CSF exncRNA may be clinically useful.

Background Extracellular non-coding RNA are an emerging biomarker in a variety of neurologic diseases, conceptualized as the molecular 'fingerprint' of disease, thought to be either secreted or shedded from neural tissues in healthy and disease states. These have been shown to occur in nearly every biofluid, and a growing literature is pointing towards their robust detectability in the CSF.

Design/Methods A structured literature and dataset search was carried out for datasets of CSF exncRNA in the Gene Expression Omnibus and exRNA atlas databases. For studies that had not made their data publicly available, authors were contacted to share raw data. Datasets were annotated with all available metadata, and values were pre-processed, normalized, and batch-corrected. Associative analyses for miRNA expression to disease states and platform-specific biases were carried out.

Results

We identified 6 series including 446 patients (155 controls) with applicable data from our search strategy. Diseases studied included HIV, temporal lobe epilepsy, Alzheimer's disease, Parkinson's disease, ALS, multiple sclerosis, status epilepticus, headache, and subarachnoid hemorrhage. We identified platform-specific biases and showed that discrete subsets of microRNA are associated with neurodegenerative diseases, neuroinflammatory diseases, and epilepsies.

Conclusions The super series will serve as a resource for future research in CSF exncRNA biomarkers, particularly with its large set of control patients. The increased statistical power afforded by this series points towards the potential for clinical translation of these biomarkers in a variety of neurologic conditions as more data is generated, particularly for neurodegenerative conditions, and as sequencing technologies improve.

Authors/Disclosures
Andrew Dhawan, MD (Cleveland Clinic) PRESENTER	Dr. Dhawan has nothing to disclose.
	No disclosure on file

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Abstract Details