Jasmine Zemlin

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

The paper expands a bile acid and steroidal MS/MS spectral library across three repositories, capturing diverse structures and providing a resource for classifying unknown spectra.

The paper examines how vaginal estrogen affects the urinary microbiome and metabolome in postmenopausal women, finding that it increases lactobacilli and alters metabolite profiles.

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

This study identifies distinct microbial and metabolic features in non-lesional acne skin using multi-omics analyses, showing molecular dysbiosis extends beyond visible lesions.

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 identifies serum metabolic signatures associated with cognitive resilience in a longitudinal aging cohort using untargeted LC-MS/MS profiling.

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

This study maps conjugated metabolites by analyzing MS/MS spectra from public repositories, identifying potential conjugation events and providing a resource for structural discovery.

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

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

This paper introduces a mass spectrometry filtering tree to distinguish bile acid isomers in LC-MS/MS data and identifies a novel deoxycholyl-2-aminophenol amidate linked to whole grain consumption.

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.

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

This study identifies genetic factors enabling Bacteroides fragilis to transition from commensal to pathogenic by analyzing 813 strains and their genomic diversity.

The paper creates a suspect spectral library for untargeted metabolomics by propagating annotations from public MS/MS spectra to improve interpretation of unannotated spectra.