Coupling antigens from multiple subtypes of influenza can broaden antibody and T cell responses.
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| Title: | Coupling antigens from multiple subtypes of influenza can broaden antibody and T cell responses. |
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| Authors: | Mallajosyula, Vamsee, Chakraborty, Saborni, Sola, Elsa, Fong, Ryan Furuichi, Shankar, Vishnu, Fei Gao, Burrell, Allison R., Gupta, Neha, Wagar, Lisa E., Mischel, Paul S., Capasso, Robson, Staat, Mary A., Yueh-Hsiu Chien, Dekker, Cornelia L., Wang, Taia T., Davis, Mark M. |
| Source: | Science (pre-March 2025). 12/20/2024, Vol. 386 Issue 6728, p1389-1395. 7p. 4 Color Photographs. |
| Subjects: | Influenza, T cells, Avian influenza, Seasonal influenza, Monozygotic twins, Antigens |
| Abstract: | The seasonal influenza vaccine contains strains of viruses from distinct subtypes that are grown independently and then combined. However, most individuals exhibit a more robust response to one of these strains and thus are vulnerable to infection by others. By studying a monozygotic twin cohort, we found that although prior exposure is a factor, host genetics are a stronger driver of subtype bias to influenza viral strains. We found that covalent coupling of heterologous hemagglutinin (HA) from different viral strains could largely eliminate subtype bias in an animal model and in a human tonsil organoid system. We proposed that coupling of heterologous antigens improves antibody responses across influenza strains by broadening T cell help, and we found that using this approach substantially improved the antibody response to avian influenza HA. [ABSTRACT FROM AUTHOR] |
| Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 181793063 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Coupling antigens from multiple subtypes of influenza can broaden antibody and T cell responses. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mallajosyula%2C+Vamsee%22">Mallajosyula, Vamsee</searchLink><br /><searchLink fieldCode="AR" term="%22Chakraborty%2C+Saborni%22">Chakraborty, Saborni</searchLink><br /><searchLink fieldCode="AR" term="%22Sola%2C+Elsa%22">Sola, Elsa</searchLink><br /><searchLink fieldCode="AR" term="%22Fong%2C+Ryan+Furuichi%22">Fong, Ryan Furuichi</searchLink><br /><searchLink fieldCode="AR" term="%22Shankar%2C+Vishnu%22">Shankar, Vishnu</searchLink><br /><searchLink fieldCode="AR" term="%22Fei+Gao%22">Fei Gao</searchLink><br /><searchLink fieldCode="AR" term="%22Burrell%2C+Allison+R%2E%22">Burrell, Allison R.</searchLink><br /><searchLink fieldCode="AR" term="%22Gupta%2C+Neha%22">Gupta, Neha</searchLink><br /><searchLink fieldCode="AR" term="%22Wagar%2C+Lisa+E%2E%22">Wagar, Lisa E.</searchLink><br /><searchLink fieldCode="AR" term="%22Mischel%2C+Paul+S%2E%22">Mischel, Paul S.</searchLink><br /><searchLink fieldCode="AR" term="%22Capasso%2C+Robson%22">Capasso, Robson</searchLink><br /><searchLink fieldCode="AR" term="%22Staat%2C+Mary+A%2E%22">Staat, Mary A.</searchLink><br /><searchLink fieldCode="AR" term="%22Yueh-Hsiu+Chien%22">Yueh-Hsiu Chien</searchLink><br /><searchLink fieldCode="AR" term="%22Dekker%2C+Cornelia+L%2E%22">Dekker, Cornelia L.</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Taia+T%2E%22">Wang, Taia T.</searchLink><br /><searchLink fieldCode="AR" term="%22Davis%2C+Mark+M%2E%22">Davis, Mark M.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science+%28pre-March+2025%29%22">Science (pre-March 2025)</searchLink>. 12/20/2024, Vol. 386 Issue 6728, p1389-1395. 7p. 4 Color Photographs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Influenza%22">Influenza</searchLink><br /><searchLink fieldCode="DE" term="%22T+cells%22">T cells</searchLink><br /><searchLink fieldCode="DE" term="%22Avian+influenza%22">Avian influenza</searchLink><br /><searchLink fieldCode="DE" term="%22Seasonal+influenza%22">Seasonal influenza</searchLink><br /><searchLink fieldCode="DE" term="%22Monozygotic+twins%22">Monozygotic twins</searchLink><br /><searchLink fieldCode="DE" term="%22Antigens%22">Antigens</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The seasonal influenza vaccine contains strains of viruses from distinct subtypes that are grown independently and then combined. However, most individuals exhibit a more robust response to one of these strains and thus are vulnerable to infection by others. By studying a monozygotic twin cohort, we found that although prior exposure is a factor, host genetics are a stronger driver of subtype bias to influenza viral strains. We found that covalent coupling of heterologous hemagglutinin (HA) from different viral strains could largely eliminate subtype bias in an animal model and in a human tonsil organoid system. We proposed that coupling of heterologous antigens improves antibody responses across influenza strains by broadening T cell help, and we found that using this approach substantially improved the antibody response to avian influenza HA. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Science (pre-March 2025) is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=181793063 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1126/science.adi2396 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 1389 Subjects: – SubjectFull: Influenza Type: general – SubjectFull: T cells Type: general – SubjectFull: Avian influenza Type: general – SubjectFull: Seasonal influenza Type: general – SubjectFull: Monozygotic twins Type: general – SubjectFull: Antigens Type: general Titles: – TitleFull: Coupling antigens from multiple subtypes of influenza can broaden antibody and T cell responses. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mallajosyula, Vamsee – PersonEntity: Name: NameFull: Chakraborty, Saborni – PersonEntity: Name: NameFull: Sola, Elsa – PersonEntity: Name: NameFull: Fong, Ryan Furuichi – PersonEntity: Name: NameFull: Shankar, Vishnu – PersonEntity: Name: NameFull: Fei Gao – PersonEntity: Name: NameFull: Burrell, Allison R. – PersonEntity: Name: NameFull: Gupta, Neha – PersonEntity: Name: NameFull: Wagar, Lisa E. – PersonEntity: Name: NameFull: Mischel, Paul S. – PersonEntity: Name: NameFull: Capasso, Robson – PersonEntity: Name: NameFull: Staat, Mary A. – PersonEntity: Name: NameFull: Yueh-Hsiu Chien – PersonEntity: Name: NameFull: Dekker, Cornelia L. – PersonEntity: Name: NameFull: Wang, Taia T. – PersonEntity: Name: NameFull: Davis, Mark M. IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 12 Text: 12/20/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00368075 Numbering: – Type: volume Value: 386 – Type: issue Value: 6728 Titles: – TitleFull: Science (pre-March 2025) Type: main |
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