A Phase 1 Prognostic Trial for Predicting Paediatric Allergy Using the Placenta at Birth

Area of Science:

• Reproductive biology and immunology
• Pediatric allergy research
• Genomic medicine

Background:

• Allergy is a common childhood non-communicable disease, necessitating early risk identification for intervention.
• Allergic disease origins are linked to early developmental events, including prenatal and early childhood exposures.
• Previous research identified associations between placental glucocorticoid-regulated genes and child allergy.

Purpose of the Study:

• To investigate the potential of using placental glucocorticoid-regulated mRNA profiles to predict childhood allergy risk.
• To determine if placental gene expression can serve as a biomarker for allergic susceptibility in children.

Main Methods:

• Analysis of placental samples from two Australian populations (South Australia, n=105; Victoria, n=261).
• Quantification of glucocorticoid-regulated genes using quantitative polymerase chain reaction (qPCR).
• Statistical modeling, including random forest analysis, performed using R (version 4.4.1).

Main Results:

• Top predictive genes identified: AFF1, ARID5B, IER3, ATF4, and SLC19A2.
• The best random forest model achieved an Area Under the Curve (AUC) of 0.664, indicating moderate predictive ability.
• Glucocorticoid-regulated genes demonstrated higher efficacy in identifying children who would not develop allergies.

Conclusions:

• Placental glucocorticoid-regulated genes hold significant predictive value for allergy risk, particularly for identifying non-allergic individuals.
• The study provides evidence of distinct transcriptional profiles in placentae of allergic versus nonallergic children.
• These findings support the placenta as a key site for understanding and potentially predicting early-onset allergic diseases.