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Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology
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Journal Article
Dihydroceramide- and ceramide-profiling provides insights into human cardiometabolic disease etiology
2022
Overview
Metabolic alterations precede cardiometabolic disease onset. Here we present ceramide- and dihydroceramide-profiling data from a nested case-cohort (type 2 diabetes [T2D,
n
= 775]; cardiovascular disease [CVD,
n
= 551]; random subcohort [
n
= 1137]) in the prospective EPIC-Potsdam study. We apply the novel
NetCoupler-algorithm
to link a data-driven (dihydro)ceramide network to T2D and CVD risk. Controlling for confounding by other (dihydro)ceramides, ceramides C18:0 and C22:0 and dihydroceramides C20:0 and C22:2 are associated with higher and ceramide C20:0 and dihydroceramide C26:1 with lower T2D risk. Ceramide C16:0 and dihydroceramide C22:2 are associated with higher CVD risk. Genome-wide association studies and Mendelian randomization analyses support a role of ceramide C22:0 in T2D etiology. Our results also suggest that (dh)ceramides partly mediate the putative adverse effect of high red meat consumption and benefits of coffee consumption on T2D risk. Thus, (dihydro)ceramides may play a critical role in linking genetic predisposition and dietary habits to cardiometabolic disease risk.
Among lipid classes, ceramides are linked to impaired cardiometabolic health. Here the authors report the association of specific ceramides and dihydroceramides on the risk of developing type 2 diabetes and or cardiovascular disease in a prospective population cohort.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 49/47
/ Adult
/ Aged
/ Cardiovascular Diseases - blood
/ Cardiovascular Diseases - epidemiology
/ Cardiovascular Diseases - metabolism
/ Ceramide
/ Coffee
/ Diabetes
/ Diabetes mellitus (non-insulin dependent)
/ Diabetes Mellitus, Type 2 - blood
/ Diabetes Mellitus, Type 2 - epidemiology
/ Diabetes Mellitus, Type 2 - metabolism
/ Etiology
/ Female
/ Genome-wide association studies
/ Genomes
/ Humanities and Social Sciences
/ Humans
/ Lipids
/ Male
/ Meat
/ Risk Assessment - statistics & numerical data
/ Science
