Ruben A. T. Mars

This study demonstrates high reproducibility in a DTC microbiome testing workflow using NIST fecal reference material across multiple processing steps and real-world conditions.

The paper integrates stool chemistry metrics with shotgun metagenomics in adults to identify distinct gut health profiles associated with microbial and inflammatory markers.

The paper benchmarks metagenomic pipelines using age- and body site-specific synthetic communities, showing THMCv2 has higher recall and F1 scores while MetaPhlAn4 has higher precision.

The paper identifies distinct gut microbiome signatures during acute SARS-CoV-2 infection that predict long COVID, showing microbiome profiles better predict risk than clinical variables.

This study identifies shared and disease-specific host-microbiome interactions in colorectal cancer, inflammatory bowel disease, and irritable bowel syndrome using machine learning.