Microbial metabolite butyrate-prodrug polymeric micelles demonstrate therapeutic efficacy in pre-clinical models of food allergy and inflammatory bowel disease

To identify changes in the microbiome across conditions, a linear discriminant analysis effect size (LefSe) analysis was performed in R using the microbiomeMarker package and the run_lefse function. Features, specifically taxa, can be associated with or without a given condition (e.g., ButM post-treatment vs PBS post-treatment) and an effect size can be ascribed to that difference in taxa at a selected taxonomic level (LDA score). For the LefSe analysis, genera were compared as the main group, a significance level of 0.05 was chosen for both the Kruskall-Wallis and Wilcoxon tests and a linear discriminant analysis cutoff of 1.0 was implemented.