Dr. George Tseng has two new recently published papers. The first is titled "Glucose dysregulation in antipsychotic-naïve first episode psychosis: in silico exploration of gene expression signatures." This study investigates the link between first-episode psychosis patients not yet treated with antipsychotics and early metabolic issues like insulin resistance. By analyzing gene expressions, the research identifies common patterns with individuals experiencing early dysglycemia, suggesting shared biological pathways. The findings highlight a potential connection between psychosis spectrum disorders and metabolic dysfunction, with the antidiabetic drug metformin emerging as a promising treatment option.
His second paper is titled “Systems approach for congruence and selection of cancer models towards precision medicine.” In this study, researchers use CASCAM, a statistical and machine learning framework that helps select the most representative cancer models for a specific subtype using transcriptomic data. It offers a systematic approach, demonstrated with examples like invasive lobular breast carcinoma (ILC), ensuring accurate model selection for preclinical research in precision medicine.