Article ; Online: COVID-19: Imbalanced Immune Responses and Potential Immunotherapies.
2021 Volume 11, Page(s) 607583
Abstract: ... understanding of the immunological processes underlying COVID-19 could facilitate rapidly identifying and ... immunotherapies for COVID-19, including IL-6R blockades, convalescent plasma, intravenous gamma globulin, thymosin ... on current immunological evidence, we describe potential immune mechanisms and discuss promising ...
Abstract | The ongoing pandemic coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is rapidly spreading and has resulted in grievous morbidity and mortality worldwide. Despite the high infectiousness of SARS-CoV-2, the majority of infected individuals are asymptomatic or have mild symptoms and could eventually recover as a result of their balanced immune function. On the contrary, immuno-compromised patients are prone to progress into severe or critical types underpinned by the entanglement of an overexuberant proinflammatory response and injured immune function. Therefore, well-coordinated innate and adaptive immune systems are pivotal to viral eradication and tissue repair. An in-depth understanding of the immunological processes underlying COVID-19 could facilitate rapidly identifying and choosing optimal immunotherapy for patients with severe SARS-CoV-2 infection. In this review, based on current immunological evidence, we describe potential immune mechanisms and discuss promising immunotherapies for COVID-19, including IL-6R blockades, convalescent plasma, intravenous gamma globulin, thymosin alpha1, corticosteroids, and type-I interferon, and recent advances in the development of COVID-19 vaccines. |
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MeSH term(s) | COVID-19/immunology ; Humans ; Immunotherapy/methods ; SARS-CoV-2 ; COVID-19 Drug Treatment |
Language | English |
Publishing date | 2021-01-29 |
Publishing country | Switzerland |
Document type | Journal Article ; Review |
ZDB-ID | 2606827-8 |
ISSN | 1664-3224 ; 1664-3224 |
ISSN (online) | 1664-3224 |
ISSN | 1664-3224 |
DOI | 10.3389/fimmu.2020.607583 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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