Ipsita Mohanty

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

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

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

This study shows that FXR deficiency prevents IHC-induced atherosclerosis by disrupting microbiome-bile acid signaling in ApoE-/- mice.

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 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.

The paper develops a combined untargeted and semi-targeted metabolomics approach to profile small intestinal and fecal metabolomes, revealing distinct metabolomes and potential new bile acids.

The paper presents a multi-organ metabolomics atlas in AD mouse models, identifying dysregulated metabolites and microbiome associations linked to oxidative stress and cognitive impairment.

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.