Fig. 1.

Allergic patients have different gut microbiota compared to healthy non-allergic controls. a, b PCoA based on a weighted and b unweighted UniFrac distances (β diversity). c α diversity based on Faith’s PD. d Heat map of significantly different features comparing FA patients with controls based on a machine learning analysis. e Analysis of the composition of microbiomes (ANCOM), followed by pairwise t test with FDR correction using R on the relative abundance of P. copri. f ROC curve analysis using supervised learning for FA classification based on the microbiome data, against true food allergic status. **q ≤ 0.01