Immune Development in Early Life (IDEaL) longitudinal cohort study protocol: Identifying biomarkers of vaccine

Donato Amodio1,2, Chiara Rossetti1, Asimenia Angelidou3,4,5

  • 1Clinical and Research Unit of Clinical Immunology and Vaccinology, Bambino Gesù Children's Hospital, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy.

Insights

This study identifies immune system markers in children to predict respiratory infections and asthma. Findings aim to enable early interventions for better long-term health outcomes.

Area of Science:

  • Pediatric immunology and respiratory health.
  • Longitudinal cohort studies in early life development.

Background:

  • Early-life immune development influences childhood respiratory infections, asthma, and vaccine responses.
  • Identifying specific immune endotypes can predict susceptibility and inform interventions.
  • The IDEaL-Rome cohort is a prospective study investigating immune trajectories in children.

Purpose of the Study:

  • To discover molecular biomarkers for predicting susceptibility to respiratory infections, asthma, and poor vaccine response in early childhood.
  • To establish immune profiles for early intervention strategies.
  • To guide interventions aimed at modifying adverse immune development pathways.

Main Methods:

  • Prospective enrollment of mothers during pregnancy and infants at delivery.
  • Collection of biosamples (blood, stool, nasal swabs, cord blood) and clinical data over 6 visits up to age 5.
  • Integration of multiomic data (cytokines, proteomics, microbiome) with clinical information.

Main Results:

  • 273 participants enrolled with 100% completion rate.
  • Clinical and multiomic data integrated over 2 years to analyze immune trajectories.
  • Detailed outcome data will be reported as longitudinal analysis progresses.

Conclusions:

  • The IDEaL-Rome study aims to identify biomarkers for immune development trajectories.
  • Findings may facilitate early interventions to improve infant health outcomes.
  • Further research is needed to validate biomarkers and refine predictive models for clinical use.
Abstract

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