Julien Wist

The paper introduces a new binary format and toolkit for efficient LC-MS data processing, enabling faster and more flexible feature detection.

This study analyzes multi-omic data from children with and without ASD to show that family and sex have stronger effects on microbiome and metabolome profiles than ASD diagnosis itself.

This study profiles the duodenal microbiome after meals with different structures, showing how food structure affects bacterial composition and links to metabolites and gut hormones.

This study demonstrates that dried blood spot lipidomics can capture biologically meaningful lipid changes in diabetes, supporting its use in remote and personalized monitoring.

The paper predicts wound re-epithelisation outcomes in non-severe burns using plasma lipidome features, identifying specific lipid subfractions associated with recovery.

This study identifies a prolonged systemic metabolic phenotype after non-severe burns, indicating a persistent inflammatory response with potential implications for chronic health outcomes.