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Trained immunity-related vaccines: innate immune memory and heterologous protection against infections.
Ziogas, Athanasios; Netea, Mihai G.
  • Ziogas A; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands. Electronic address: Athanasios.Ziogas@radboudumc.nl.
  • Netea MG; Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Centre, Nijmegen, The Netherlands; Department of Immunology and Metabolism, Life & Medical Sciences Institute, University of Bonn, Bonn, Germany.
Trends Mol Med ; 28(6): 497-512, 2022 06.
Article in English | MEDLINE | ID: covidwho-1799777
ABSTRACT
The innate immune system is able to build memory-like features in response to certain infections or vaccines, resulting in enhanced responsiveness upon (re)challenge with the same or an unrelated pathogen, a phenomenon termed 'trained immunity'. Compared with antigen-dependent adaptive immune responses triggered by classical vaccines against specific pathogens, trained immunity-related vaccines induce enhanced innate immune responses against unrelated pathogens and provide 'heterologous protection'. Here, we discuss the heterologous effects of vaccines against infections and detail the latest insights into the cellular and molecular mechanisms mediating trained immunity. Additionally, novel vaccine strategies are suggested for fighting new pandemics in the future by taking advantage of the heterologous memory features of trained immunity.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / Immunologic Memory Topics: Vaccines Limits: Humans Language: English Journal: Trends Mol Med Journal subject: Molecular Biology Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / Immunologic Memory Topics: Vaccines Limits: Humans Language: English Journal: Trends Mol Med Journal subject: Molecular Biology Year: 2022 Document Type: Article