Victoria Deleray

The paper maps bacterial bile amidation by analyzing BSH transaminase activities and identifying BBAs in human samples.

The paper synthesizes 3-hydroxy N-acyl amides and uses reverse metabolomics to identify their presence in biological samples and link them to microbial production and metabolic disease.

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

TIMS-Bench evaluates three TIMS feature-finding tools using public and benchmark datasets, identifying strengths and weaknesses in feature detection and annotation.

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 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 develops a multidimensional bile acid reference library and evaluates workflows for accurate bile acid measurement in biological samples.

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

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.

The paper creates a spectral library of N-acyl lipids from metabolomics data, identifies novel compounds, and links them to health conditions like HIV and cognitive impairment.