Andrew T. Magis

This study shows EBV reprograms B cells in COVID-19 patients, leading to autoimmune-like features such as autoantibodies and dysregulated lipid profiles, similar to lupus and multiple sclerosis.

This paper develops a subspace one-class classification framework for proteomics-driven anomaly detection using healthy reference data to identify disease patterns across multiple conditions.

This paper reports that oral LNAD+ rapidly increases intracellular NAD without elevating circulating NAD, showing compartment-specific effects and safety in a clinical trial.

The paper develops and validates a clinical whole genome sequencing assay for heritable disease and pharmacogenomics testing, showing high sensitivity, specificity, and accuracy in a large cohort.

The paper identifies a conserved immune signature linked to infection severity, risk factors, and treatment response using multi-cohort transcriptomic and proteomic data.

APMAT analysis links CD8 T cell receptors, cognate antigens, and T cell phenotype/persistence using integrated experimental-computational methods.

The paper identifies APOE genotype-related metabolite associations with biological age and bioenergetics in humans, showing counterintuitive patterns in {varepsilon}2 and {varepsilon}4 carriers.

The paper examines the link between bowel movement frequency and blood metabolites in healthy individuals, finding associations with kidney function and chronic disease risk.

The paper analyzes the genetic and microbiome contributions to blood metabolite variation across 2,049 individuals, finding that over 60% of metabolites are associated with either genetics or the microbiome, with some showing interaction effects.

This study identifies blood-based biomarkers associated with Alzheimer's disease genetic risk variants in a large cohort of healthy adults, showing effects from early adulthood and sex-specific patterns.

The paper shows that gut microbiome uniqueness increases with age and predicts survival in humans.

The paper identifies a blood metabolome signature that robustly predicts gut microbiome α-diversity across health and disease conditions.