A5003212298- Multiple Sclerosis Research Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Peripheral Neuropathies and Disorders
- Epigenetics and DNA Methylation
- MicroRNA in disease regulation
- Single-cell and spatial transcriptomics
- Parkinson's Disease Mechanisms and Treatments
- Immunotherapy and Immune Responses
- Toxin Mechanisms and Immunotoxins
- Ferroptosis and cancer prognosis
- Systemic Lupus Erythematosus Research
- Cancer Genomics and Diagnostics
- Cytokine Signaling Pathways and Interactions
- Genomic variations and chromosomal abnormalities
Dartmouth–Hitchcock Medical Center
2022-2025
Dartmouth College
2022-2024
Dartmouth Hospital
2023
Abstract Parkinson’s disease (PD) is the second most common neurodegenerative in United States. Decades before motor symptoms manifest, non-motor such as hyposmia and rapid eye movement (REM) sleep behavior disorder are highly predictive of PD. Previous immune profiling studies have identified alterations to proportions cells blood clinically defined PD patients. However, it remains unclear if these phenotypes manifest clinical diagnosis We utilized longitudinal DNA methylation (DNAm)...
The human brain comprises heterogeneous cell types whose composition can be altered with physiological and pathological conditions. New approaches to discern the diversity distribution of cells associated neurological conditions would significantly advance study brain-related pathophysiology neuroscience. Unlike single-nuclei approaches, DNA methylation-based deconvolution does not require special sample handling or processing, is cost-effective, easily scales large designs. Existing methods...
Multiple sclerosis (MS) is a clinically heterogenous disease. Currently, we cannot identify patients with more active disease who may potentially benefit from earlier interventions. Previous data our lab identified the CXCL13 index (ICXCL13), measure of intrathecal production CXCL13, as potential biomarker to predict future activity in MS two years after diagnosis. Patients isolated syndrome (CIS) or radiologically (RIS) underwent lumbar puncture and blood draw, ICXCL13 was determined. They...
Background and ObjectivesMultiple sclerosis (MS) is a heterogeneous disease, its course difficult to predict. Prediction models can be established by measuring intrathecally synthesized proteins involved in inflammation, glial activation, CNS injury.MethodsTo determine how these intrathecal relate the short-term, i.e., 12 months, disease activity relapsing-remitting MS (RRMS), we measured synthesis of 46 inflammatory mediators 14 injury or activation markers matched serum CSF samples from 47...
Abstract The human brain comprises heterogeneous cell subtypes whose composition can be altered with physiological and pathological conditions. New approaches to discern the diversity distribution of cells associated neurological conditions would significantly advance study brain-related pathophysiology neuroscience. We demonstrate that DNA-based cell-type deconvolution achieves an accurate resolution seven major types. Unlike single-nuclei approaches, DNA methylation-based does not require...
DNA methylation-based copy number variation (CNV) calling software offers the advantages of providing both genetic (copy-number) and epigenetic (methylation) state information from a single genomic library. This method is advantageous when looking at large-scale chromosomal rearrangements such as loss short arm chromosome 3 (3p) in renal cell carcinoma codeletion 1 long 19 (1p/19q) commonly seen histologically defined oligodendrogliomas. Herein, we present MethylMasteR: framework that...
Abstract Precise detection of both tumor subclass and immune composition is critical in the pursuit personalized immunotherapeutic treatment strategies for glioma. DNA methylation (DNAm) biomarkers are promising on fronts. DNAm-based molecular classification have been developed integrated into World Health Organization (WHO) diagnostic criteria. However, prediction microenvironment not as well defined. To fill this gap, we present GIMiCC, an approach cellular deconvolution DNAm microarray...
A scalable platform for cell typing in the glioma microenvironment can improve tumor subtyping and immune landscape detection as successful immunotherapy strategies continue to be sought evaluated. DNA methylation (DNAm) biomarkers molecular classification of subtypes have been developed clinical use. However, tools that predict cellular are not well-defined or readily available. We Glioma Immune Microenvironment Composition Calculator (GIMiCC), an approach deconvolution types gliomas using...