Γεώργιος Μαρίνος

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 introduces Virtual Colon, a spatiotemporal metabolic model of the colon that simulates host-microbial interactions and visualizes them over time and space.

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 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.

The paper uses metabolic modeling to predict precision prebiotics that specifically enhance the abundance of a beneficial microbiome species in C. elegans.