Yin X, et al. EBioMedicine. 2020 Jan;51:102520.
Yin X, et al., conducted a study to establish whether de-regulation of the lipidome could promote metabolic risk factors.
By utilizing liquid chromatography-tandem mass spectrometry, 154 circulating lipid species were measured within 658 subjects from the Framingham Heart Study (FHS) and estimated for correlation with obesity, dysglycemia, and dyslipidemia. The persistent estimates for obesity, dysglycemia, and dyslipidemia were body mass index [BMI kg/m2], fasting blood glucose [FBG mg/dL], and triacylglycerol [TAG mg/dL] and HDL cholesterol [HDL-C mg/dL], respectively. In three independent cohorts, independent external validation was addressed. Consecutive modifications (from the baseline to the follow-up examination) in the constant measures of the metabolic risk factors were used as the findings for the longitudinal analyses.
Almost 39 lipids were linked with obesity and 8 with dysglycemia in the FHS. Of 32 lipids that were available for replication for obesity and six for dyslipidemia, 28 (88%) replicated for obesity and five (83%) for dysglycemia (Table 1 and 2). Almost 4 lipids were correlated with longitudinal changes in both BMI and glucose and 1 lipid with HDL-C in the FHS (Table 3). Multi-marker panels were also observed to be correlated with longitudinal changes in metabolic traits in multi-marker analyses (Table 4).
Thus, various lipid species were identified to be correlated with metabolic risk factors cross-sectionally and with its longitudinal modifications. Importantly, robust and replicable relationship of lysoglycerophospholipids and dihydrosphingolipids with obesity and dysglycemia were estimated. Altogether with scientific data and previous interventional and functional studies, it was concluded that the lipid species observed in this study may represent as essential mechanistic factors of metabolic dysregulation and could assume the cornerstone for future studies to investigate their potential therapeutic significance.
Table 1: Cross-sectional lipid associations with obesity in FHS
Table 2: Cross-sectional lipid associations with dysglycemia in FHS
Table 3: Single marker associations with longitudinal changes in metabolic risk factors
Table 4: Multi-marker associations with longitudinal changes in metabolic risk factors
