4.6 Article

The Epidemiological and Mechanistic Understanding of the Neurological Manifestations of COVID-19: A Comprehensive Meta-Analysis and a Network Medicine Observation

Journal

FRONTIERS IN NEUROSCIENCE
Volume 15, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2021.606926

Keywords

coronavirus disease 2019 (COVID-19); cerebrovascular disease; protein-protein interactome; network medicine; SARS-CoV-2; stroke; vascular cell adhesion molecule 1 (VCAM-1)

Categories

Funding

  1. National Institute of Aging [R01AG066707, 3R01AG066707-01S1]
  2. National Heart, Lung, and Blood Institute [R00HL138272]
  3. National Institute of Neurological Disorders and Stroke [3R01NS097719-04S1]
  4. VeloSano Pilot Program (Cleveland Clinic Taussig Cancer Institute)

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This study explored the neurological manifestations of COVID-19 using stroke as a case study, finding a higher prevalence of stroke history in severe COVID-19 patients and elevated inflammatory markers in severe illness. The role of VCAM-1 in inflammatory responses and procoagulant pathways was highlighted, suggesting causal relationships between stroke history and severe COVID-19.
The clinical characteristics and biological effects on the nervous system of infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remain poorly understood. The aim of this study is to advance epidemiological and mechanistic understanding of the neurological manifestations of coronavirus disease 2019 (COVID-19) using stroke as a case study. In this study, we performed a meta-analysis of clinical studies reporting stroke history, intensive inflammatory response, and procoagulant state C-reactive protein (CRP), Procalcitonin (PCT), and coagulation indicator (D-dimer) in patients with COVID-19. Via network-based analysis of SARS-CoV-2 host genes and stroke-associated genes in the human protein-protein interactome, we inspected the underlying inflammatory mechanisms between COVID-19 and stroke. Finally, we further verified the network-based findings using three RNA-sequencing datasets generated from SARS-CoV-2 infected populations. We found that the overall pooled prevalence of stroke history was 2.98% (95% CI, 1.89-4.68; I-2=69.2%) in the COVID-19 population. Notably, the severe group had a higher prevalence of stroke (6.06%; 95% CI 3.80-9.52; I-2 = 42.6%) compare to the non-severe group (1.1%, 95% CI 0.72-1.71; I-2 = 0.0%). There were increased levels of CRP, PCT, and D-dimer in severe illness, and the pooled mean difference was 40.7 mg/L (95% CI, 24.3-57.1), 0.07 mu g/L (95% CI, 0.04-0.10) and 0.63 mg/L (95% CI, 0.28-0.97), respectively. Vascular cell adhesion molecule 1 (VCAM-1), one of the leukocyte adhesion molecules, is suspected to play a vital role of SARS-CoV-2 mediated inflammatory responses. RNA-sequencing data analyses of the SARS-CoV-2 infected patients further revealed the relative importance of inflammatory responses in COVID-19-associated neurological manifestations. In summary, we identified an elevated vulnerability of those with a history of stroke to severe COVID-19 underlying inflammatory responses (i.e., VCAM-1) and procoagulant pathways, suggesting monotonic relationships, thus implicating causality.

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