Circulating ceramide levels and ratios in Emirati youth under 18 years: associations with cardiometabolic risk factors

Abstract

BackgroundCirculating ceramide (Cer) drives various pathological processes associated with cardiovascular diseases, liver illness, and diabetes mellitus. Although recognized as predictors of cardiometabolic diseases (CMD) in research and clinical settings, their potential for predicting CMD risk in individuals under 18 remains unexplored.ObjectivesThis study was designed to utilize Liquid Chromatography-Mass Spectrometry (LC-MS/MS) methodology to determine the biological reference ranges for Cer in plasma samples of Emirati children and develop a risk assessment score (CERT-1) based on Cer concentrations.MethodsUsing LC-MS/MS, we developed a method to measure five Cer species in plasma samples of 582 Emirati participants aged 5–17. We used the circulating concentrations of these Cer to determine their reference intervals in this population. We employed traditional statistical analyses to develop a risk score (CERT-1) and assess the association between Cer levels and conventional biomarkers of CMD.ResultsWe validated a high-throughput methodology using LC–MS/MS to quantify five Cer species in human plasma. Reference values for this population (n = 582) were quantified: CerC16:0 (0.12–0.29 µmol/L), CerC18:0 (0.019–0.067 µmol/L), CerC22:0 (0.102–0.525 µmol/L), CerC24:0 (0.65–1.54 µmol/L) and CerC24:1 (0.212–0.945 µmol/L). We devised a risk assessment score (CERT-1) based on plasma Cer content in the study participants, showing that 72.5% have low to moderate risk and 9.3% are at a higher risk of developing CMD. Our analyses also revealed a significant correlation (P < 0.05) between this score and the conventional risk factors linked to CMD, indicating its potential clinical implication.ConclusionThis study presents a clinical-scaled LC–MS/MS methodology for assessing clinically relevant Cer, setting reference ranges, and developing a risk score (CERT-1) for young Emirati individuals. Our findings can enhance primary risk prediction and inform the management and follow-up of CMD from an early age.