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Plasma lipidomics profile in pregnancy and gestational diabetes risk: a prospective study in a multiracial/ethnic cohort.
Rahman, Mohammad L; Feng, Yen-Chen A; Fiehn, Oliver; Albert, Paul S; Tsai, Michael Y; Zhu, Yeyi; Wang, Xiaobin; Tekola-Ayele, Fasil; Liang, Liming; Zhang, Cuilin.
Afiliação
  • Rahman ML; Department of Population Medicine and Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, USA.
  • Feng YA; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.
  • Fiehn O; Massachusetts General Hospital Center for Genomic Medicine, Boston, Massachusetts, USA.
  • Albert PS; Program in Medical and Population Genetics, Broad Institute Harvard, Cambridge, Massachusetts, USA.
  • Tsai MY; West Coast Metabolomics Center, University of California Davis, Davis, California, USA.
  • Zhu Y; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA.
  • Wang X; Laboratory Medicine and Pathology, University of Minnesota System, Minneapolis, Minnesota, USA.
  • Tekola-Ayele F; Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
  • Liang L; Department of Population, Family, and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Zhang C; Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, USA.
Article em En | MEDLINE | ID: mdl-33674279
ABSTRACT

INTRODUCTION:

Disruption of lipid metabolism is implicated in gestational diabetes (GDM). However, prospective studies on lipidomics and GDM risk in race/ethnically diverse populations are sparse. Here, we aimed to (1) identify lipid networks in early pregnancy to mid-pregnancy that are associated with subsequent GDM risk and (2) examine the associations of lipid networks with glycemic biomarkers to understand the underlying mechanisms. RESEARCH DESIGN AND

METHODS:

This study included 107 GDM cases confirmed using the Carpenter and Coustan criteria and 214 non-GDM matched controls from the National Institute of Child Health and Human Development Fetal Growth Studies-Singleton cohort, untargeted lipidomics data of 420 metabolites (328 annotated and 92 unannotated), and information on glycemic biomarkers in maternal plasma at visit 0 (10-14 weeks) and visit 1 (15-26 weeks). We constructed lipid networks using weighted correlation network analysis technique. We examined prospective associations of lipid networks and individual lipids with GDM risk using linear mixed effect models. Furthermore, we calculated Pearson's partial correlation for GDM-related lipid networks and individual lipids with plasma glucose, insulin, C-peptide and glycated hemoglobin at both study visits.

RESULTS:

Lipid networks primarily characterized by elevated plasma diglycerides and short, saturated/low unsaturated triglycerides and lower plasma cholesteryl esters, sphingomyelins and phosphatidylcholines were associated with higher risk of developing GDM (false discovery rate (FDR) <0.05). Among individual lipids, 58 metabolites at visit 0 and 96 metabolites at visit 1 (40 metabolites at both time points) significantly differed between women who developed GDM and who did not (FDR <0.05). Furthermore, GDM-related lipid networks and individual lipids showed consistent correlations with maternal glycemic markers particularly in early pregnancy at visit 0.

CONCLUSIONS:

Plasma lipid metabolites in early pregnancy both individually and interactively in distinct networks were associated with subsequent GDM risk in race/ethnically diverse US women. Future research is warranted to assess lipid metabolites as etiologic markers of GDM.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Gestacional Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Pregnancy Idioma: En Revista: BMJ Open Diabetes Res Care Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Gestacional Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Female / Humans / Pregnancy Idioma: En Revista: BMJ Open Diabetes Res Care Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos