Investigating Influenza Immunity at the systemic and mucosal Interfaces in Human challenge model study and maternal-child study choorts. 01/11/2024 - 30/10/2029

Abstract

Influenza remains a global health threat, causing significant morbidity and mortality due to its high transmissibility and capacity to evolve through antigenic drift. Although current seasonal vaccines reduce disease burden, their effectiveness can be compromised by continual viral evolution. A key challenge lies in understanding the interplay between systemic and mucosal immunity-specially how immunological imprinting shapes responses to novel strains. To address these gaps, this research integrates three unique resources. First, Controlled Human Infection Models (CHIMs) at Vaccinopolis in Antwerp allow precise control over influenza strain, dose, and timing of infection. This design provides an unprecedented opportunity to dissect the mechanisms of mucosal immunity, viral shedding, and the interplay between naïve and memory responses. Second, infant cohort samples from ongoing studies in Rome and Antwerp offer insights into how early-life exposures imprint immune memory. Third, by leveraging dyadic (mother-infant) samples from prior maternal vaccination studies, we can track the intergenerational transmission of immunity and investigate how maternal antibodies shape infant immune ontogeny. Using a systems biology approach, the project will characterize immune responses at the gene, protein, and cellular levels. We will perform multi-omics analyses (e.g., transcriptomics, proteomics) to identify immune correlates of protection, focusing on mucosal sites-the initial interface for infection and transmission. By combining adult CHIM data with longitudinal infant cohort and maternal-infant dyad findings, this research seeks to elucidate influenza immunity both mucosal and systemic responses, and how targeted interventions (e.g., novel adjuvants, vaccine formulations) might overcome existing immune barriers.

Researcher(s)

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Project type(s)

  • Research Project