Silvio Waschina

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.

This study identifies microbial-specific Trp metabolism signatures in colitis by analyzing metabolites across multiple compartments in mice treated with DSS and antibiotics.

The paper investigates gut microbiome changes in T3cDM patients, finding increased Escherichia-Shigella and reduced diversity, suggesting EPI drives microbial shifts rather than systemic metabolism.

This study examines how gut bacteria genomes adapt to industrialization, finding convergent genomic responses in stress response, cell envelope remodeling, and central metabolism across different populations.

This study examines the microbial degradation of rutin and genistein in fecal samples from obese and non-obese individuals, identifying metabolites and microbial shifts linked to health outcomes.

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.

gapseq predicts bacterial metabolic pathways and reconstructs metabolic models with high accuracy using sequence homology and pathway topology, outperforming existing tools.