[HTML][HTML] Microbial signature in IgE-mediated food allergies

MR Goldberg, H Mor, D Magid Neriya, F Magzal… - Genome Medicine, 2020 - Springer
MR Goldberg, H Mor, D Magid Neriya, F Magzal, E Muller, MY Appel, L Nachshon…
Genome Medicine, 2020Springer
Background Multiple studies suggest a key role for gut microbiota in IgE-mediated food
allergy (FA) development, but to date, none has studied it in the persistent state. Methods To
characterize the gut microbiota composition and short-chain fatty acid (SCFAs) profiles
associated with major food allergy groups, we recruited 233 patients with FA including milk
(N= 66), sesame (N= 38), peanut (N= 71), and tree nuts (N= 58), and non-allergic controls
(N= 58). DNA was isolated from fecal samples, and 16S rRNA gene sequences were …
Background
Multiple studies suggest a key role for gut microbiota in IgE-mediated food allergy (FA) development, but to date, none has studied it in the persistent state.
Methods
To characterize the gut microbiota composition and short-chain fatty acid (SCFAs) profiles associated with major food allergy groups, we recruited 233 patients with FA including milk (N = 66), sesame (N = 38), peanut (N = 71), and tree nuts (N = 58), and non-allergic controls (N = 58). DNA was isolated from fecal samples, and 16S rRNA gene sequences were analyzed. SCFAs in stool were analyzed from patients with a single allergy (N = 84) and controls (N = 31).
Results
The gut microbiota composition of allergic patients was significantly different compared to age-matched controls both in α-diversity and β-diversity. Distinct microbial signatures were noted for FA to different foods. Prevotella copri (P. copri) was the most overrepresented species in non-allergic controls. SCFAs levels were significantly higher in the non-allergic compared to the FA groups, whereas P. copri significantly correlated with all three SCFAs. We used these microbial differences to distinguish between FA patients and non-allergic healthy controls with an area under the curve of 0.90, and for the classification of FA patients according to their FA types using a supervised learning algorithm. Bacteroides and P. copri were identified as taxa potentially contributing to KEGG acetate-related pathways enriched in non-allergic compared to FA. In addition, overall pathway dissimilarities were found among different FAs.
Conclusions
Our results demonstrate a link between IgE-mediated FA and the composition and metabolic activity of the gut microbiota.
Springer