Keiichi I. Nakayama

The paper establishes a murine model of iron overload-induced hepatic ferroptosis and identifies a gene signature that predicts ferroptosis-related liver damage in both mice and humans.

The paper investigates brain pH and lactate levels in animal models of neuropsychiatric disorders, finding decreased pH and increased lactate levels as common features across multiple models.

LIGHTHOUSE identifies novel therapeutics for diseases including cancer, bacterial infections, and COVID-19 using a graph-based deep learning approach without requiring 3D structural data.

This paper introduces OMELET, a method to infer metabolic flux from multi-omic data, and applies it to identify obesity-associated dysregulation in liver glucose metabolism.

The paper shows that IGF2 promotes differentiation of adult NSCs by inducing Cdkn1c expression, which drives cell cycle exit and terminal differentiation into astrocytes, neurons, and oligodendrocytes.

The paper analyzes trans-omic data from healthy and obese mice to reveal that glucose-responsive liver metabolism is regulated by rapid changes in metabolites and gene expression in the healthy state, and by slow transcriptional regulation in the obese state.

This study identifies mitoNEET as a protein that interacts with transferrin receptor to regulate mitochondrial iron homeostasis, leading to increased iron content and ROS production in the heart when mitoNEET is disrupted.

The paper constructs a trans-omic network of insulin action using phosphoproteomic, transcriptomic, and metabolomic data to identify fed and fasting insulin signals.

The paper confirms lower brain pH in schizophrenia and bipolar disorder patients and shows it persists in animal models, suggesting it is a pathophysiological feature rather than an artifact.