Dear IRISS Members,
I am thrilled to present a new project for our collaborative efforts focusing on Neuromyelitis Optica (NMO), a demyelinating disease that holds significant clinical implications. For those who may not be familiar, NMO, also known as Devic's disease, stands as a distinctive autoimmune disorder characterized by inflammation of the optic nerve and spinal cord. Unlike multiple sclerosis (MS), which primarily affects the central nervous system's white matter, NMO predominantly targets the optic nerves and spinal cord, leading to vision impairment, paralysis, and other neurological deficits. NMO is also characterized by its association with antibodies against aquaporin 4 channels, crucial components found on astrocytic foot processes that play a pivotal role in the glymphatic/ CSF drainage system of the brain.
Drawing from my background in researching intracranial pressure (ICP) and neurovascular anatomy for conditions such as Idiopathic Intracranial Hypertension (IIH) and Spaceflight-associated Neuro-ocular Syndrome (SANS) with NASA, I've had the opportunity to extrapolate our models to comprehend various bodily systems comprehensively. One intriguing aspect that remains largely unexplored is the characterization of elevated ICP in NMO patients, which presents a compelling avenue for exploration.
In consultation with Dr. Lee, it became evident that there's a dearth of specific research addressing the nuances of ICP in NMO. Thus, I propose that IRISS embark on a comprehensive investigation to elucidate the characteristics of NMO patients with severe ICP, further enriching our understanding and contributing to the existing body of knowledge.
Our proposed methodology involves a two-fold approach:
Literature Review: We will commence with an exhaustive review of existing literature, focusing on case studies examining the prevalence of elevated ICP indicators such as papilledema, elevated lumbar puncture pressure, and other relevant markers. Subsequently, we'll engage Dr. Lee to integrate his clinical expertise, potentially culminating in a foundational paper.
Chart Review: The subsequent phase entails conducting a meticulous chart review of NMO patients
Furthermore, we propose employing machine learning algorithms, including XGBoost, to discern salient features and develop predictive models for NMO severity. Additionally, for those interested in exploring the genetic underpinnings of NMO, I encourage you to reach out, as I've devised correlative analyses that could uncover novel insights.
In essence, this project promises to be both intellectually stimulating and collaborative, leveraging the diverse skill sets within our group to unearth new discoveries. Your unique contributions are invaluable, and I am genuinely excited about the potential outcomes that await us.
As we assemble our team within IRISS, I eagerly anticipate our collective endeavor and the wealth of knowledge we'll undoubtedly generate.
Warm regards,
Jason Sims
I'm particularly excited about the prospect of delving into the modeling aspect of the research, given my previous experience in both literature review and utilizing machine learning algorithms. It seems very interesting research topic so count me in for this collaboration.