A prospective study of maternal adiposity and glycemic traits across pregnancy and mid-childhood metabolomic profiles

被引:2
|
作者
Rahman, Mohammad L. [1 ]
Doyon, Myriam [2 ]
Arguin, Melina [2 ]
Perron, Patrice [2 ,3 ]
Bouchard, Luigi [2 ,4 ,5 ]
Hivert, Marie-France [1 ,2 ,6 ]
机构
[1] Harvard Med Sch, Harvard Pilgrim Hlth Care Inst, Dept Populat Med, Boston, MA 02115 USA
[2] Ctr Rech Ctr Hosp Univ Sherbrooke CHUS, Sherbrooke, PQ, Canada
[3] Univ Sherbrooke, Fac Med & Life Sci, Dept Med, Sherbrooke, PQ, Canada
[4] Univ Sherbrooke, Fac Med & Life Sci, Dept Biochem, Sherbrooke, PQ, Canada
[5] CIUSSS Saguenay Lac St Jean, Dept Med Biol, Saguenay, PQ, Canada
[6] Massachusetts Gen Hosp, Diabet Unit, Boston, MA 02114 USA
关键词
INTRAUTERINE EXPOSURE; INSULIN-RESISTANCE; DEVELOPMENTAL ORIGINS; CARDIOVASCULAR RISK; GLUCOSE-TOLERANCE; SENSITIVITY; INTEGRATION; DISORDERS; PRESSURE; WOMEN;
D O I
10.1038/s41366-021-00750-4
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Fetal exposure to maternal excess adiposity and hyperglycemia is risk factors for childhood adverse metabolic outcomes. Using data from a prospective pre-birth cohort, we aimed to further understand the prenatal determinants of fetal metabolic programming based on analyses of maternal adiposity and glycemic traits across pregnancy with childhood metabolomic profiles. Methods This study included 330 mother-child pairs from the Gen3G cohort with information on maternal adiposity and glycemic markers at 5-16 (visit 1) and 24-30 (visit 2) weeks of pregnancy. At mid-childhood (4.8-7.2 years old), we collected fasting plasma and measured 1116 metabolites using an untargeted approach. We constructed networks of interconnected metabolites using a weighted-correlation network analysis algorithm. We estimated Spearman's partial correlation coefficients of maternal adiposity and glycemic traits across pregnancy with metabolite networks and individual metabolites, adjusting for maternal age, gravidity, race/ethnicity, history of smoking, and child's sex and age at blood collection for metabolite measurement. Results We identified a network of 16 metabolites, primarily glycero-3-phosphoethanolamines (GPE) at mid-childhood that showed consistent negative correlations with maternal body mass index, waist circumference, and body-fat percentage at visits 1 and 2 (rho(adjusted) = -0.14 to -0.21) and post-challenge glucose levels at visit 2 (rho(adjusted) = -0.10 to -0.13), while positive correlations with Matsuda index (rho(adjusted) = 0.13). Within this identified network, 1-palmitoyl-2-decosahexaenoyl-GPE and 1-stearoyl-2-decosahexaenoyl-GPE appeared to be driving the associations. In addition, a network of 89 metabolites, primarily phosphatidylcholines, plasmalogens, sphingomyelins, and ceramides showed consistent negative correlations with insulin at visit 1 and post-challenge glucose at visit 2, while positive correlation with adiponectin at visit 2. Conclusions Prenatal exposure to maternal higher adiposity and hyperglycemic traits and lower insulin sensitivity markers were associated with a unique metabolomic pattern characterized by low serum phospho- and sphingolipids in mid-childhood.
引用
收藏
页码:860 / 869
页数:10
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