Profiling plasma lipids to improve risk assessment and early detection of metabolic syndrome-related diseases

Lipid analysis is helpful in research and medical applications of neuroscience in health and disease.

Multi-micronutrient supplementation influences levels of phospholipids, lysophospholipids, and cholesterol esters in blood plasma.

Age-related gut microbiome changes are reflected in serum lipidome.

Lipid profiling differentiates between metabolically healthy and unhealthy obesity.

Lipidomics risk score allows to accurately measure the risk of diabetes and cardiovascular disease development

Plasma lipidomics analysis is a promising tool for a differential diagnosis of various atherosclerosis-related vascular diseases.

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.

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

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

Diagnosing multiple sclerosis is difficult. Lipid markers can support diagnosis and treatment of the neuroinflammatory disease.