Guoxiang Xie

MetAgeFormer is a transformer-based model pre-trained on metabolomic data to estimate biological age and identify metabolic subtypes associated with disease risk.

The paper identifies metabolites in umbilical cord blood linked to maternal pre-pregnant obesity using metabolomics in a multi-ethnic cohort.

This study identifies metabolites and pathways in serum and brain tissue associated with cognitive impairment and develops models to predict antecedent cognitive decline in older adults.

This study shows that hyocholic acid species are associated with metabolic health and glucose homeostasis, and their levels predict diabetes risk in humans.

The paper identifies altered bile acid profiles in Alzheimer's disease, linking them to cognitive impairment and genetic variants through a large study.

The paper identifies associations between serum bile acid metabolites and AD biomarkers in the A/T/N framework, suggesting a potential role for bile acid pathways in AD pathophysiology.