Article ; Online: Human brain organoids to explore SARS-CoV-2-induced effects on the central nervous system.
2023 Volume 33, Issue 2, Page(s) e2430
Abstract: Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). In less than three years, an estimated 600 million infections with SARS-CoV-2 occurred worldwide, resulting in a pandemic ... ...
| Abstract | Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). In less than three years, an estimated 600 million infections with SARS-CoV-2 occurred worldwide, resulting in a pandemic with tremendous impact especially on economic and health sectors. Initially considered a respiratory disease, COVID-19, along with its long-term sequelae (long-COVID) rather is a systemic disease. Neurological symptoms like dementia or encephalopathy were reported early during the pandemic as concomitants of the acute phase and as characteristics of long-COVID. An excessive inflammatory immune response is hypothesized to play a major role in this context. However, direct infection of neural cells may also contribute to the neurological aspects of (long)-COVID-19. To mainly explore such direct effects of SARS-CoV-2 on the central nervous system, human brain organoids provide a useful platform. Infecting these three-dimensional tissue cultures allows the study of viral neurotropism as well as of virus-induced effects on single cells or even the complex cellular network within the organoid. In this review, we summarize the experimental studies that used SARS-CoV-2-infected human brain organoids to unravel the complex nature of (long)-COVID-19-related neurological manifestations. |
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| MeSH term(s) | Humans ; SARS-CoV-2/physiology ; COVID-19 ; Post-Acute COVID-19 Syndrome ; Central Nervous System ; Brain ; Organoids |
| Language | English |
| Publishing date | 2023-02-15 |
| Publishing country | England |
| Document type | Journal Article ; Review ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 1086043-5 |
| ISSN | 1099-1654 ; 1052-9276 |
| ISSN (online) | 1099-1654 |
| ISSN | 1052-9276 |
| DOI | 10.1002/rmv.2430 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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