Lipidomics provides new biomarkers for cardiovascular disease and Type 2 diabetes

Cardiovascular disease is the leading cause of death worldwide, accounting for around 18 million deaths per year. People with type 2 diabetes have a two- to threefold increased risk of suffering a heart attack or stroke. The number of people affected has been rising steadily for decades. More than 8 million people in Germany already live with type 2 diabetes. According to scientific forecasts, these numbers will increase to around 12 million by 2040. Accordingly, there is a great need to identify biomarkers that can indicate the development of disease at an early stage in order to prevent or at least mitigate its onset.

Previous studies have shown that cardiovascular diseases and type 2 diabetes are closely linked to the lipid metabolism. To decipher these relationships at the molecular level, scientists have been using lipidomics analysis for several years. This is a modern analytical method that provides very detailed insights into the fatty acid profiles in blood plasma. Fatty acids occur in the human organism mainly as part of complex molecules, the lipids. Based on their molecular structure, they are classified into numerous different lipid classes and types. The totality of all lipids within an organism is called the lipidome.

69 lipids associated with disease risk

Dr. Fabian Eichelmann, a researcher in the Department of Molecular Epidemiology at DIfE and scientist of the German Center for Diabetes Research (DZD), and his team evaluated the fatty acid profiles in 2,414 blood samples from the EPIC-Potsdam study. The samples were collected as early as the 1990s and in part came from participants who developed cardiovascular disease or type 2 diabetes in subsequent years. Using high-throughput lipidomics, the researchers identified a total of 282 different lipids, 69 of which were associated with at least one of the two diseases. "A statistical association with cardiovascular diseases was found for 49 lipids, which mainly belonged to the cholesterol esters and sphingolipids," said Eichelmann. "Twelve lipids were associated with type 2 diabetes, the majority of which were glycerol and phospholipids. An association with both diseases was seen for 8 lipids, among which several monoacylglycerides stood out." At the molecular level, the researchers found that higher-risk lipids tended to contain mostly saturated fatty acids, particularly palmitic acid.

Dietary fat modulation shows effect

In the second part of their investigations, the scientists wanted to find out whether the risk-associated lipids could be influenced by changing the fatty acid composition of the diet. A 16-week intervention study conducted by the collaboration partners at the University of Reading in England was designed to provide answers. Julie Lovegrove's team recruited 113 healthy women and men aged 21 to 60 and randomly divided them into three groups. The first group received a diet with an increased amount of saturated FAs. The second group followed a diet high in monounsaturated FAs. And the third group was given a diet high in monounsaturated and polyunsaturated FAs. The diets were designed in such a way that the total energy intake was the same in all three groups, so that the participants neither gained nor lost weight. At the beginning of the study and four months later, blood samples were taken so that the researchers could determine and compare the fatty acid profiles in the blood plasma of the participants. "We found that the diets with an increased proportion of unsaturated FAs provided a reduction in risk-associated lipids and at the same time an increase in low-risk lipids compared to the diet with an increased proportion of saturated FAs," said Lovegrove, summarizing the results.

The findings support the common recommendation that replacing saturated fatty acids with unsaturated fatty acids in the diet is a potential tool for preventing cardiovascular disease and type 2 diabetes. "The lipids identified could serve as biomarkers of increased risk. Future risk prediction models could be based on them," said Professor Matthias Schulze, head of the Department of Molecular Epidemiology and principal investigator of the EPIC-Potsdam study at DIfE. In the next step, the researchers want to identify a lipidomics fingerprint in the blood that depicts the effects of a test diet and check whether it is associated with long-term risk of cardiovascular disease.