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Immunological Memory01:23

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Immunological memory, a pivotal pillar of the adaptive immune system, is responsible for the body's ability to remember and respond more swiftly and effectively to previously encountered pathogens. This remarkable feature is what makes vaccines so effective in preventing diseases.
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Immunological memory is an integral function of the immune system that allows it to recognize and react more rapidly and effectively to pathogens previously encountered. This feature...
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Vaccines are among the most effective tools in preventive medicine, designed to prepare the immune system to recognize and combat infectious agents. By introducing antigens—substances that the immune system identifies as foreign—vaccines stimulate an adaptive immune response that leads to immunological memory. This immunological memory enables the body to mount a faster and more effective response upon future exposures to the actual pathogen.Vaccines can be categorized based on the...
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Cells of the Adaptive Immune Response01:23

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The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
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Mapping immune imprinting zones enables predictive vaccination optimization.

Wei Yang1, Kaichun Jin2, Wei Li3

  • 1Bio-X Center for Interdisciplinary Innovation, Yunnan University, Yunnan, China; Yunnan Vaccine Laboratory, Yunnan, China.

Cell Reports
|April 18, 2026
PubMed
Summary

Immune imprinting impacts vaccine effectiveness against evolving viruses. DynaVac, a new mathematical framework, predicts antibody responses and guides optimized vaccine updates for better protection.

Keywords:
CP: immunologySARS-CoV-2 evolutiondynamic vaccination modelingimmune imprintingimmunogenicity evolutionvaccination strategies

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Area of Science:

  • Immunology
  • Virology
  • Computational Biology

Background:

  • Immune imprinting, where prior exposures influence antibody responses to new viral variants, poses a challenge for vaccine development.
  • Optimizing vaccination strategies against rapidly evolving viruses like SARS-CoV-2 requires understanding these imprinting effects.

Purpose of the Study:

  • To develop DynaVac, a mathematical framework modeling B cell dynamics and immune imprinting across antigenic distances.
  • To predict antibody responses to complex vaccination regimens and guide real-time vaccine updates.

Main Methods:

  • DynaVac models antigen-specific B cell competition between naive and memory compartments.
  • The framework integrates empirical cross-neutralization data and simulates continuous booster responses.
  • Calibration used neutralization titers from murine and human studies of various SARS-CoV-2 vaccine platforms.

Main Results:

  • DynaVac accurately predicts antibody responses in heterologous and multivalent vaccination scenarios.
  • Simulations identified three imprinting zones: protection, pitfall, and breakthrough, influencing vaccine efficacy.
  • The model enables prospective simulation of booster responses across variants, dosages, and intervals.

Conclusions:

  • DynaVac provides a predictive tool for immune responses to evolving viral threats.
  • The framework offers actionable strategies for selecting vaccine strains and optimizing booster schedules.
  • DynaVac's generalizable structure can be applied to other fast-evolving pathogens beyond SARS-CoV-2.