Ethnic Disparities in Lipid Metabolism and Clinical Outcomes between Dutch South Asians and Dutch White Caucasians with Type 2 Diabetes Mellitus.
Lushun YuanAswin VerhoevenNiek BlombergHuub J van EykMaurice B BizinoPatrick C N RensenIngrid M JazetHildo J LambTon J RabelinkMartin A GieraBernard M van den BergPublished in: Metabolites (2024)
Type 2 diabetes mellitus (T2DM) poses a higher risk for complications in South Asian individuals compared to other ethnic groups. To shed light on potential mediating factors, we investigated lipidomic changes in plasma of Dutch South Asians (DSA) and Dutch white Caucasians (DwC) with and without T2DM and explore their associations with clinical features. Using a targeted quantitative lipidomics platform, monitoring over 1000 lipids across 17 classes, along with 1 H NMR based lipoprotein analysis, we studied 51 healthy participants (21 DSA, 30 DwC) and 92 T2DM patients (47 DSA, 45 DwC) from the MAGN etic resonance A ssessment of VICTO za efficacy in the R egression of cardiovascular dysfunction in type 2 d IA betes mellitus (MAGNA VICTORIA) study. This comprehensive mapping of the circulating lipidome allowed us to identify relevant lipid modules through unbiased weighted correlation network analysis, as well as disease and ethnicity related key mediatory lipids. Significant differences in lipidomic profiles, encompassing various lipid classes and species, were observed between T2DM patients and healthy controls in both the DSA and DwC populations. Our analyses revealed that healthy DSA, but not DwC, controls already exhibited a lipid profile prone to develop T2DM. Particularly, in DSA-T2DM patients, specific lipid changes correlated with clinical features, particularly diacylglycerols (DGs), showing significant associations with glycemic control and renal function. Our findings highlight an ethnic distinction in lipid modules influencing clinical outcomes in renal health. We discover distinctive ethnic disparities of the circulating lipidome and identify ethnicity-specific lipid markers. Jointly, our discoveries show great potential as personalized biomarkers for the assessment of glycemic control and renal function in DSA-T2DM individuals.
Keyphrases
- glycemic control
- end stage renal disease
- type diabetes
- newly diagnosed
- network analysis
- fatty acid
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- healthcare
- high resolution
- weight loss
- magnetic resonance imaging
- public health
- mental health
- magnetic resonance
- cardiovascular disease
- patient reported
- quantum dots
- skeletal muscle
- drug delivery
- atomic force microscopy
- data analysis
- energy transfer