Lipidomics provides new biomarkers for cardiovascular disease and Type 2 diabetes

Date:
April 26, 2022
Source:
Deutsches Zentrum fuer Diabetesforschung DZD
Summary:
Using lipidomics, a modern analytical method, researchers identified
those lipids that are statistically associated with cardiovascular
disease and type 2 diabetes. In addition, the scientists found
that a diet with an increased proportion of unsaturated fatty acids
leads to a reduction in risk-associated lipids and an increase in
low-risk lipids.



FULL STORY ==========================================================================
The lipid metabolism plays an important role in the development
of cardiovascular diseases and type 2 diabetes. However, little is
known about the molecular relationships. Using lipidomics, a modern
analytical method, the team led by Dr. Fabian Eichelmann from DIfE
and DZD identified those lipids that are statistically associated with cardiovascular disease and type 2 diabetes. In addition, the scientists
found that a diet with an increased proportion of unsaturated fatty acids
(FAs) leads to a reduction in risk-associated lipids and an increase in low-risk lipids. The findings were published in the journal Circulation.


========================================================================== 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.


========================================================================== Story Source: Materials provided by Deutsches_Zentrum_fuer_Diabetesforschung_DZD. Note: Content may be edited
for style and length.


========================================================================== Journal Reference:
1. Fabian Eichelmann, Laury Sellem, Clemens Wittenbecher, Susanne
Ja"ger,
Olga Kuxhaus, Marcela Prada, Rafael Cuadrat, Kim G. Jackson,
Julie A.

Lovegrove, Matthias B. Schulze. Deep Lipidomics in Human Plasma -
Cardiometabolic Disease Risk and Effect of Dietary Fat Modulation.

Circulation, 2022; DOI: 10.1161/CIRCULATIONAHA.121.056805 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/04/220426101717.htm

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