Multiomics analyses of well-studied diseases can reveal molecular pathways, identify biomarkers, and improve predictive models.

LDLR expression influences ovarian cancer cells’ lipid profiles and sensitivity to platinum-based chemotherapy.

The mtUPR in yeast exhibits an initial increase in protein import, which is accompanied by cardiolipin synthesis and remodeling.

Yeast adapts to the absence of phosphatidylcholine by changing lipid composition to restore membrane fluidity.

The plasma lipidome in anorexia patients before and after refeeding therapy exhibits dysregulated lipid metabolism.

The plasma lipid profile depends on meal timing and composition and is associated with insulin sensitivity.

The enzyme PTPMT1, which synthesizes the mitochondrial lipid cardiolipin, helps cancer cells adapt to hypoxia.

Multiomics analyses with lipidomics reveal molecular pathways in Alzheimer’s disease to improve predictive power.

Metabolic indicators in the plasma lipidome can classify obesity status more accurately than standard metrics.

Skin lipid composition impacts skin health and can be studied via lipidomics but sex, age and, sample depth affect the data.

Heart failure changes lipid metabolism in cardiac tissue of mice. The altered lipid profile can be confirmed in human plasma.

Combined transcriptomic, proteomic, lipidomic, & metabolomic analyses can characterize the molecular basis of diabetes.