Jeremy Kirk Nicholson

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 identifies trimethylamine (TMA) as a microbial compound that inhibits IRAK4, reducing inflammation and improving metabolic outcomes in high-fat diet conditions.

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.

This study identifies microbiome determinants of hippurate, a metabolite linked to metabolic health, and demonstrates its protective effects in mice through benzoate-hippurate pathway analysis.

The paper identifies prokaryotes involved in indole metabolism using KEGG and BLAST integration, and provides resources for further validation.

The paper investigates how propionate, a gut microbial metabolite, interacts with the blood-brain barrier through CD14-dependent and NRF2 signaling pathways, suggesting a new mechanism in the gut-brain axis.

The paper identifies urinary metabolic phenotypes associated with three diets and their relationship to blood pressure, revealing diet-specific biomarkers and suggesting individualized dietary approaches.