Systems vaccinology reshapes understanding of human immune defenses and future vaccine design
A review outlines how systems vaccinology uses multi-omics and AI to map immune responses, revealing predictive signatures and the influence of genetics, metabolism and the microbiome.
In this comprehensive review, systems vaccinology is presented as a transformative approach that treats vaccines as experimental tools to interrogate human immunity. Multi-omics platforms combined with sophisticated computational analyses have uncovered early blood transcriptional signatures that predict both the magnitude and durability of adaptive responses across diverse vaccines. The work emphasizes how individual factors such as genetic variation, metabolic state and microbiome composition modulate these signatures, underscoring the complexity of host-pathogen interactions.
Recent progress in artificial-intelligence methods is beginning to streamline the extraction of actionable insights from massive datasets. The author argues that while the discipline has deepened fundamental immunology and offered a framework for rational vaccine design, significant gaps remain in translating these findings into approved products and policy. Closing this translational divide is essential for delivering safer, more effective vaccines against current and emerging infectious threats.
Why it matters
Understanding immune variability can guide the creation of vaccines that work better for everyone.
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