Ana Ramı́rez de Molina

This study identifies two clusters of non-responsive celiac disease patients based on microbiome network structure and function, linking them to distinct symptom profiles and metabolic pathways.

The paper examines gut microbial ecosystems across different metabolic and obesity phenotypes, finding that metabolic health, not obesity, drives microbial connectivity and functional cohesion.

The paper identifies bioactive compounds that may counteract cancer gene-expression profiles in colorectal cancer subgroups using epigenomic and transcriptomic data.

The paper identifies potential colorectal cancer biomarkers from the gut microbiome of obese individuals using machine learning and network biology.