Artikel ; Online: Hemagglutinin stalk-binding antibodies enhance effectiveness of neuraminidase inhibitors against influenza via Fc-dependent effector functions.
Cell reports. Medicine
2022 Band 3, Heft 8, Seite(n) 100718
Abstract: The conserved hemagglutinin stalk domain is an attractive target for broadly effective antibody-based therapeutics and next-generation universal influenza vaccines. Protection provided by hemagglutinin stalk-binding antibodies is principally mediated ... ...
Abstract | The conserved hemagglutinin stalk domain is an attractive target for broadly effective antibody-based therapeutics and next-generation universal influenza vaccines. Protection provided by hemagglutinin stalk-binding antibodies is principally mediated through activation of immune effector cells. Titers of stalk-binding antibodies are highly variable on an individual level and tend to increase with age as a result of increasing exposures to influenza virus. In our study, we show that stalk-binding antibodies cooperate with neuraminidase inhibitors to protect against influenza virus infection in an Fc-dependent manner. These data suggest that the effectiveness of neuraminidase inhibitors is likely influenced by an individual's titers of stalk-binding antibodies and that neuraminidase inhibitors may enhance the effectiveness of future stalk-binding monoclonal antibody-based treatments. |
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Mesh-Begriff(e) | Antibodies, Viral ; Hemagglutinin Glycoproteins, Influenza Virus/chemistry ; Hemagglutinins ; Humans ; Immunoglobulin Fc Fragments/immunology ; Influenza Vaccines ; Influenza, Human/drug therapy ; Neuraminidase ; Orthomyxoviridae |
Chemische Substanzen | Antibodies, Viral ; Hemagglutinin Glycoproteins, Influenza Virus ; Hemagglutinins ; Immunoglobulin Fc Fragments ; Influenza Vaccines ; Neuraminidase (EC 3.2.1.18) |
Sprache | Englisch |
Erscheinungsdatum | 2022-08-10 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article ; Research Support, Non-U.S. Gov't |
ISSN | 2666-3791 |
ISSN (online) | 2666-3791 |
DOI | 10.1016/j.xcrm.2022.100718 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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