Investigating Mechanisms of Neurological Post Acute Sequelae of SARS CoV2 Using Quantitative Multiparametric In-Vivo and Ex-Vivo MRI
- Funded by National Institutes of Health (NIH)
- Total publications:0 publications
Grant number: 1R01NS136202-01A1
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Key facts
Disease
COVID-19Start & end year
20242029Known Financial Commitments (USD)
$634,622Funder
National Institutes of Health (NIH)Principal Investigator
ASSOCIATE PROFESSOR Priti BalchandaniResearch Location
United States of AmericaLead Research Institution
ICAHN SCHOOL OF MEDICINE AT MOUNT SINAIResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Post acute and long term health consequences
Special Interest Tags
N/A
Study Type
Clinical
Clinical Trial Details
Not applicable
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Project Summary/Abstract More than half of individuals infected with COVID-19 continue to experience debilitating symptoms beyond the initial phase of their infection - a syndrome that is now known as Post-Acute Sequelae of COVID-19 (PASC). When neurological manifestations such as altered smell or taste, post-exertional malaise, "brain fog" (impaired cognition, executive function, and memory), fatigue, dizziness, abnormal movements, headache, sleep disturbances, mood disorders, and/or dysautonomia, are concerned, this syndrome is termed neuroPASC. Knowledge of the specific mechanisms by which SARS-CoV-2 causes damage to the brain and brainstem is vitally important to inform clinical treatment of patients suffering from neuroPASC, but at this point, our knowledge is severely lacking. We hypothesize that SARS-CoV-2 infection causes immune-mediated injury to the neurovascular endothelium, causing microhemorrhages, microinfarctions, and vascular leakage followed by secondary damage to the neural parenchyma due to immune-mediated inflammation in response to breakdown of the blood-brain barrier. The consequences of this tissue injury will manifest as a specific spatiotemporal distribution of neuroimaging findings on in vivo MRI, associated with neurological signs and symptoms and markers of inflammation. The results of this project will rigorously confirm the mechanisms by which SARS-CoV- 2 infection causes tissue damage that leads to neuroPASC, and by leveraging ex vivo MRI to link in vivo neuroimaging findings on a clinically translatable MRI protocol and the presence and temporal evolution of neurological signs and symptoms to a detailed histopathological explanation of the underlying mechanisms by which neural tissue is damaged in neuroPASC, this project will establish a foundation of knowledge for targeted interventions and provide protocols and biomarkers to evaluate the efficacy of those interventions. The specific aims of this project are as follows: Aim 1: we will acquire high-resolution, multi-contrast, quantitative ex vivo MRI and detailed histological datasets in hemibrains from 25 neuroPASC-positive decedents and 15 neuroPASC- negative control decedents who recovered from their acute course of COVID-19 without persistent neurological sequelae. We will compare frequencies of MRI and histological findings in neuroPASC and controls throughout the regions of the brain and brainstem implicated by prominent symptoms to confirm the aforementioned mechanistic hypothesis, and also identify additional spatial patterns of neuroPASC-related abnormalities through data-driven analyses. Aim 2: we will apply an in vivo 7 T structural, vascular, perfusion, and diffusion MRI protocol and perform neuropsychological testing and quantification of blood inflammatory markers in 60 neuroPASC-positive patients at two time points, and 60 neuroPASC-negative control subjects at a single time point. We will analyze the spatial distribution of neuroimaging findings and their evolution over time as neuroPASC symptoms abate to support a hypothesis that resolution of symptoms is closely temporally linked with resolution of specific spatial distributions of neuroimaging findings.