4.6 Review

COVID-19, Neuropathology, and Aging: SARS-CoV-2 Neurological Infection, Mechanism, and Associated Complications

Journal

FRONTIERS IN AGING NEUROSCIENCE
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnagi.2021.662786

Keywords

COVID-19; SARS-CoV-2; neuropathology; aging; neuroinvasion; neuroinfection; pandemic; neurodegenerative disease

Funding

  1. DBT for Ramalingaswami Re-entry Fellowship [BT/RLF/Re-entry/22/2016, 102/IFD/SAN/1117/2018-19]
  2. CSIR IICT, Hyderabad, India

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The spectrum of health complications caused by the COVID-19 pandemic is diverse and complex, with neurological complications being more common in elderly patients. There is currently a lack of systematic understanding of the neuro-pathophysiology and manifested neurological complications in elderly COVID-19 patients.
The spectrum of health complications instigated by coronavirus disease 2019 (COVID-19, caused by the novel severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2) pandemic has been diverse and complex. Besides the evident pulmonary and cardiovascular threats, accumulating clinical data points to several neurological complications, which are more common in elderly COVID-19 patients. Recent pieces of evidence have marked events of neuro infection and neuroinvasion, producing several neurological complications in COVID-19 patients; however, a systematic understanding of neuro-pathophysiology and manifested neurological complications, more specifically in elderly COVID-19 patients is largely elusive. Since the elderly population gradually develops neurological disorders with aging, COVID-19 inevitably poses a higher risk of neurological manifestations to the aged patients. In this report, we reviewed SARS-CoV-2 infection and its role in neurological manifestations with an emphasis on the elderly population. We reviewed neuropathological events including neuroinfection, neuroinvasion, and their underlying mechanisms affecting neuromuscular, central- and peripheral- nervous systems. We further assessed the imminent neurological challenges in the COVID-19 exposed population, post-SARS-CoV-2-infection. Given the present state of clinical preparedness, the emerging role of AI and machine learning was also discussed concerning COVID-19 diagnostics and its management. Taken together, the present review summarizes neurological outcomes of SARS-CoV-2 infection and associated complications, specifically in elderly patients, and underlines the need for their clinical management in advance.

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