Zhidong Tu

The paper develops a multi-omics cohort of prefrontal cortex data from cognitively normal older adults to identify molecular signatures of cognitive resilience to Alzheimer's disease.

The paper identifies an AD-like subtype in brain aging across multiple regions, showing overlap with AD gene signatures and regional differences in gene expression.

The paper identifies transcriptomic changes in normal aging brains that resemble Alzheimer's disease in specific subgroups, suggesting early molecular links between aging and LOAD.

This study analyzes the tissue-specific age dependence of cell receptors involved in SARS-CoV-2 infection and identifies key regulators and host processes hijacked by the virus.

This study analyzes genetic variants associated with longevity and age-related diseases to understand their impact on gene expression.

The paper compares gene regulations in 'healthy' and 'common' aging using GTEx data to identify differences and connections with age-related diseases.

This paper introduces ANDRU, a human data-driven approach to discover geroprotectors by targeting aging and age-related disease subnetworks, identifying potential targets and compounds in adipose and artery tissues.

The paper identifies VGF as a key regulator of Alzheimer’s disease using multiscale causal network models and validates its protective role in mouse models.

This study identifies β cell-specific lncRNAs that regulate transcriptional networks and show dysregulation in type 2 diabetes.