Kine Eide Kvitne

The paper identifies metabolomic signatures associated with physical resilience trajectories from middle to older age using long-term serum data.

This study examines how maternal exposure to ampicillin or amoxicillin/clavulanate affects neonatal gut microbiome, metabolome, and vaccine responses to PCV20.

The paper identifies alkamines as a previously hidden class of metabolites formed via reductive amination, revealing significant gaps in metabolomics and drug metabolism understanding.

This study examines how maternal antibiotic use during breastfeeding affects the infant gut microbiome and metabolome, finding altered microbial profiles and increased BMI in some infants.

The paper systematically extracts and catalogs acylcarnitine metabolites from multiple repositories, identifying previously unknown carnitines and providing a resource for further metabolic research.

The paper identifies microbial bile acid conjugation as a drug-activating function for 5-ASA, revealing its therapeutic relevance through metabolomics analysis.

The paper introduces microbiomeMASST, a metadata network graph linking metabolites across datasets, enabling cross-study analysis of microbial metabolites and their biological context.

The paper introduces a collaborative platform for curating microbial metabolite knowledge to enhance metabolomics data interpretation.

The paper uses synthetic multiplexing to annotate uncharacterized metabolites, identifying ibuprofen-carnitine as a metabolite linked to muscle toxicity.

The paper examines how environmental and maternal factors influence infant gut metabolism through microbiome and metabolome profiling in Bangladeshi mother-infant pairs.

This study examines how maternal ampicillin exposure during pregnancy and postpartum affects fecal microbiome and metabolic profiles, linking these changes to increased offspring weight gain.

This study identifies distinct microbial and metabolic signatures in VEO-IBD compared to healthy controls, linking microbiome changes to metabolic dysregulation.

The paper develops a drug exposure resource from untargeted metabolomics data to identify medications without clinical records.