In this paper, we demonstrate that a gut microbial health index (MHI), originally established through diverse human disease cohorts, is linked to lifestyle and diet, and we identify potential actionable strategies to enhance or negatively impact an individual's MHI.
2/2 We use IBD proof-of-concept model for prioritizing epithelial-targeted metabolite interventions, showing: 1) IBD fecal contents disturb epithelial functions. 2) This was linked with metabolite levels, which 3) guided prioritizing metabolites that reversed IBD negative effects
2/2
We show that Crohn’s Disease advanced therapies address only one side of the disease: the immune response, while perturbations in diet, the microbiome, metabolites, and epithelial barrier function remain largely untouched during remission.
sciencedirect.com/science/ar…
3/6
To overcome the cohort/experimental pipeline differences, we performed a case-control comparison within each disease cohort, identifying the ASVs changing in each disease, and combined the per-bacteria change across all cohorts.
4/6
We observed that ASVs that are significantly higher/lower in cases compared to controls in one disease cohort, tend to show the same direction of change in many other disease cohorts.
5/6
Using a random forest classifier trained on one disease, we can in many cases identify cases/controls in a different disease with high AUC, thus raising the concern of using microbial signatures to identify a specific disease without taking into account additional diseases.
Day care is important not just for working parents :)
Our new paper studies the influence of day care attendance on the child microbiome maturation:
nature.com/articles/s41522-0…









