Alida S. D. Kindt

The paper analyzes longitudinal metabolomic changes of biogenic amines in plasma and CSF of TgF344 AD rats and WT controls, revealing sex- and age-specific differences.

The paper identifies age, sex, and disease-dependent lipidomic changes in TgF344-AD rats, showing similarities to human lipid profiles and developing predictive models for AD.

This study identifies metabolic signatures associated with pulmonary embolism in COVID-19 patients using longitudinal ICU data, revealing key lipid and amine changes post-event.

mzQuality is a software tool for quality control in metabolomics data that corrects technical variation and prepares data for analysis.

This study evaluates normalization strategies for lipidomic data in cell line panels, finding that data-based approaches improve replicate similarity but may introduce artifacts.

The paper develops a multi-omics data analysis workflow packaged as a FAIR Digital Object to improve reproducibility and reuse in computational research.