👤 Markus R Wenk

Apolipoproteins as an integral part of lipoproteins are crucial for the transport and metabolism of lipids. However, there is a lack of longitudinal studies to quantify the concentrations of maternal apolipoproteins from preconception to postpartum and their associations with maternal metabolic health and offspring birth outcomes. Quantification of apolipoproteins was performed on maternal plasma samples (N = 243 trios) collected at preconception, 26-28 weeks' pregnancy, and three months postpartum in the Singapore PREconception Study of long-Term maternal and child Outcomes (S-PRESTO) cohort study. Linear regression models and network analysis were implemented to investigate the association of apolipoproteins with maternal genetic variants, biochemical measures, metabolic risk factors, and offspring birth outcomes. The concentrations of ApoC-III, ApoB and ApoL1 substantially increased in pregnancy compared to preconception and postpartum. Genome-wide association studies (GWAS) identified multiple single-nucleotide polymorphisms (SNPs) associated with plasma apolipoproteins (P < 5.00E-08), including APOE-rs7412 for ApoE, LPA-rs56393506 for Apo(a), APOM-rs707921 for ApoM, ABCC4-rs117797426 for ApoJ, THSD7B-rs575613 for ApoA-II, and LOC102724443-rs140433245 for ApoA-IV. Plasma apolipoproteins were strongly associated with biochemical measures including lipidomic profiles, lipoprotein features and fat-soluble vitamins, as well as metabolic risk factors including glycaemic traits, liver enzymes, inflammatory markers, albumin, and blood pressure. Integrative network analysis of apolipoproteins and their correlates/determinants revealed both shared and specific associations, with the strongest relationships observed among apolipoproteins, cholesterol, triglycerides, alpha tocopherol, and GlycA (P We describe the longitudinal landscape of maternal circulating apolipoproteins from preconception to postpartum and their associations with maternal metabolic risk factors and offspring birth outcomes. This multi-omics characterisation of biochemical correlates and genetic determinants of maternal apolipoproteins will deepen our understanding of the molecular basis of metabolic flexibility in expectant mothers, leading to better assessment of pregnancy-related outcomes. This research was supported by the Singapore National Research Foundation under its Translational and Clinical Research (TCR) Flagship Programme and administered by the Singapore Ministry of Health's National Medical Research Council (NMRC), Singapore- NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014. The Singapore Lipidomics Incubator (SLING) is supported by grants from the National University of Singapore via the Life Sciences Institute, the National Research Foundation (NRF, NRFI2015-05 and NRFSBP-P4) and A∗STAR IAF-ICP I1901E0040. Additional funding is provided by Institute for Human Development and Potential (IHDP)-Agency for Science, Technology and Research (A∗STAR), Singapore. Show less

This study aims to explore the association between plasma metabolites and chronic kidney disease progression in individuals with type 2 diabetes. We performed a comprehensive metabolomic analysis in a prospective cohort study of 5144 multi-ancestral individuals with type 2 diabetes in Singapore, using eGFR slope as the primary outcome of kidney function decline. In addition, we performed genome-wide association studies on metabolites to assess how these metabolites could be genetically influenced by metabolite quantitative trait loci and performed colocalisation analysis to identify genes affecting both metabolites and kidney function. Elevated levels of 61 lipids with long unsaturated fatty acid chains such as phosphatidylethanolamines, triacylglycerols, diacylglycerols, ceramides and deoxysphingolipids were prospectively associated with more rapid kidney function decline. In addition, elevated levels of seven amino acids and three lipids in the plasma were associated with a slower decline in eGFR. We also identified 15 metabolite quantitative trait loci associated with these metabolites, within which variants near TM6SF2, APOE and CPS1 could affect both metabolite levels and kidney functions. Our study identified plasma metabolites associated with prospective renal function decline, offering insights into the underlying mechanism by which the metabolite abnormalities due to fatty acid oversupply might reflect impaired β-oxidation and associate with future chronic kidney disease progression in individuals with diabetes. Show less