A. Samer Kadibalban

The paper uses genome-scale metabolic models to predict how diet and lifestyle affect microbial interactions in the gut microbiome, finding shifts from collaboration to competition with high sugar intake.

The paper integrates multi-omics data from mice to identify molecular features linked to aging-related cognitive decline, highlighting systemic inflammation and microbiome-driven gut-brain axis dysfunction.

This study uses metabolic modeling to uncover host-microbiome metabolic dysregulation in IBD, identifying key pathways and potential therapeutic interventions.

This study uses metabolic modeling to show that type 2 diabetic gut microbiota show increased autonomy and antagonism, with reduced host-microbiome metabolite exchange.

This study uses multi-omics and metabolic modeling in mice to show that aging reduces host-microbiome metabolic interactions, affecting key host pathways involved in intestinal barrier function and homeostasis.