4.8 Article

Population-based plasma lipidomics reveals developmental changes in metabolism and signatures of obesity risk: a mother-offspring cohort study

Journal

BMC MEDICINE
Volume 20, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12916-022-02432-y

Keywords

Lipidomics; Gestation; Intergenerational; Development; Lipids and fatty acids; Metabolomics; Maternal-fetal; Adiposity

Funding

  1. A*STAR-NHMRC joint call funding [1711624031]
  2. National Research Foundation (NRF)
  3. National Medical Research Council (NMRC), Singapore [NMRC/TCR/004-NUS/2008]
  4. Strategic Positioning Fund
  5. IAFpp funds [H17/01/a0/005]
  6. National University of Singapore via the Life Sciences Institute
  7. National Research Foundation (NRF) [NRFI2015-05, NRFSBP-P4]
  8. NRF
  9. A*STAR IAF-ICP [I1901E0040]
  10. Victorian Government's Operational Infrastructure Support Program

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This study provides comprehensive insights into the changes in lipid levels during pregnancy and early childhood, as well as their association with obesity risk. The findings suggest that the lipidomic profiles in pregnant and non-pregnant women, as well as in offspring at birth and at 6 years of age, are influenced by adiposity. The study also highlights the overlap in the circulating lipid phenotype of obesity risk between children and adults, with a larger number of lipids associated with BMI in adults.
Background: Lipids play a vital role in health and disease, but changes to their circulating levels and the link with obesity remain poorly characterized in expecting mothers and their offspring in early childhood. Methods: LC-MS/MS-based quantitation of 480 lipid species was performed on 2491 plasma samples collected at 4 time points in the mother-offspring Asian cohort GUSTO (Growing Up in Singapore Towards healthy Outcomes). These 4 time points constituted samples collected from mothers at 26-28 weeks of gestation (n=752) and 4-5 years postpartum (n=650), and their offspring at birth (n=751) and 6 years of age (n=338). Linear regression models were used to identify the pregnancy and developmental age-specific variations in the plasma lipidomic profiles, and their association with obesity risk. An independent birth cohort (n=1935), the Barwon Infant Study (BIS), comprising mother-offspring dyads of Caucasian origin was used for validation. Results: Levels of 36% of the profiled lipids were significantly higher (absolute fold change > 1.5 and P-adj < 0.05) in antenatal maternal circulation as compared to the postnatal phase, with phosphatidylethanolamine levels changing the most. Compared to antenatal maternal lipids, cord blood showed lower concentrations of most lipid species (79%) except lysophospholipids and acylcarnitines. Changes in lipid concentrations from birth to 6 years of age were much higher in magnitude (log(2)FC=-2.10 to 6.25) than the changes observed between a 6-year-old child and an adult (postnatal mother) (log(2)FC=-0.68 to 1.18). Associations of cord blood lipidomic profiles with birth weight displayed distinct trends compared to the lipidomic profiles associated with child BMI at 6 years. Comparison of the results between the child and adult BMI identified similarities in association with consistent trends (R-2=0.75). However, large number of lipids were associated with BMI in adults (67%) compared to the children (29%). Pre-pregnancy BMI was specifically associated with decrease in the levels of phospholipids, sphingomyelin, and several triacylglycerol species in pregnancy. Conclusions: In summary, our study provides a detailed landscape of the in utero lipid environment provided by the gestating mother to the growing fetus, and the magnitude of changes in plasma lipidomic profiles from birth to early childhood. We identified the effects of adiposity on the circulating lipid levels in pregnant and non-pregnant women as well as offspring at birth and at 6 years of age. Additionally, the pediatric vs maternal overlap of the circulating lipid phenotype of obesity risk provides intergenerational insights and early opportunities to track and intervene the onset of metabolic adversities.

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