Michael Roden

This study shows reduced mitochondrial ketone body oxidation in insulin resistant states across multiple organs in humans and mice.

The paper uses single-cell RNA sequencing to identify clonally expanded CD4+ stem cell-like memory T cells in the CSF of anti-GAD65 AINS patients, suggesting their role in disease pathogenesis.

Cholesterol accumulation in hepatic lipid droplets drives inflammation and fibrosis in mouse and human MASH and is reversed by inhibiting cholesterol synthesis or knocking down Coasy or Hsd17b13.

LEOPARD completes missing views in multi-timepoint omics data by disentangling content and temporal representations, outperforming existing methods on benchmark datasets.

The paper develops an interpretable multimodal machine learning framework to predict distal sensorimotor polyneuropathy using clinical and molecular data, identifying key biomarkers and improving prediction accuracy with additional molecular modalities.

The paper identifies pQTLs for 91 plasma proteins, finds novel associations, and uses MR to uncover causal roles in immune-mediated diseases, suggesting new therapeutic targets.

The paper identifies age-related DNA methylation changes in human skeletal muscle through a meta-analysis and integrates these with transcriptomic and proteomic data, revealing enriched age-related gene expression patterns.

The paper introduces a method for cell-specific eQTL analysis without cell sorting, showing that Crohn's disease-associated SNPs mainly affect neutrophil gene expression in whole blood data.