Associations of prenatal metabolomics profiles with early childhood growth trajectories and obesity risk in African Americans: the CANDLE study.
Associations of prenatal metabolomics profiles with early childhood growth trajectories and obesity risk in African Americans: the CANDLE study.
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DOI：
10.1038/s41366-021-00808-3
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发表时间：
2021-07
期刊：
影响因子：
--
通讯作者：
Tylavsky FA
中科院分区：
文献类型：
--
作者：
Zhao Q;Hu Z;Kocak M;Liu J;Fowke JH;Han JC;Kakhniashvili D;Lewinn KZ;Bush NR;Mason WA;Tylavsky FA
产前代谢组学概况，提供在子宫内的营养和环境暴露的措施，可能会提高儿童的结果预测。我们的目的是确定产前血浆代谢物与儿童早期体重指数（BMI）的轨迹和后代超重/肥胖的风险。这项研究包括450对来自影响儿童早期神经认知发展和学习的条件的非裔美国母亲-儿童对。对孕中期采集的母亲血浆样本进行非靶向代谢组学分析。儿童从出生到4岁的BMI-z评分轨迹[上升-高-（9.8%），中度-（68.2%）和低-BMI（22.0%）]和4岁时的超重/肥胖状态是主要结果。使用最小绝对收缩和选择算子（LASSO）来选择与儿童结局相关的产前代谢物。这些母亲在招募时平均年龄为24.5岁，76.4%的受教育年限低于12年，80.0%的人接受医疗补助或医疗保险。在LASSO中，7种和5种产前代谢物分别与4岁时的BMI-z评分轨迹和超重/肥胖相关。这些代谢物主要来自/相关于类固醇生物合成、氨基酸代谢、维生素B复合物和异生物质代谢（例如，咖啡因和尼古丁）。根据LASSO选择的代谢物构建的产前代谢物风险评分（MRS）增加一个SD相关的比值比（95%CI）分别为2.97（1.95-4.54）和2.03（1.54-2.67），对于4岁时处于高BMI轨迹组和超重/肥胖的儿童。MRS显著改善了对儿童结局的风险预测，超出了传统的产前风险因素。4岁时BMI升高轨迹（P=0.005）和超重/肥胖（P=0.007）的受试者工作特征曲线下面积增加（95%CI）分别为0.10（0.03-0.18）和0.07（0.02-0.12）。产前代谢组学特征可以提前预测儿童早期生长轨迹和后代肥胖风险。
Prenatal metabolomics profiles, providing measures of in utero nutritional and environmental exposures, may improve the prediction of childhood outcomes. We aimed to identify prenatal plasma metabolites associated with early childhood body mass index (BMI) trajectories and overweight/obesity risk in offspring. This study included 450 African American mother-child pairs from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood Study. An untargeted metabolomics analysis was performed on the mothers’ plasma samples collected during the second trimester. The children’s BMI-z-score trajectories from birth to age 4 [rising-high- (9.8%), moderate- (68.2%), and low-BMI (22.0%)] and overweight/obesity status at age 4 were the main outcomes. The least absolute shrinkage and selection operator (LASSO) was used to select the prenatal metabolites associated with childhood outcomes. The mothers were 24.5 years old on average at recruitment, 76.4% having education less than 12 years and 80.0% with Medicaid or Medicare. In LASSO, seven and five prenatal metabolites were associated with the BMI-z-score trajectories and overweight/obese at age 4, respectively. These metabolites are mainly from/relevant to the pathways of steroid biosynthesis, amino acid metabolism, vitamin B complex, and xenobiotics metabolism (e.g., caffeine and nicotine). The odds ratios (95% CI) associated with a one SD increase in the prenatal metabolite risk scores (MRSs) constructed from the LASSO-selected metabolites were 2.97 (1.95–4.54) and 2.03 (1.54–2.67) for children being in the rising-high-BMI trajectory group and overweight/obesity at age 4, respectively. The MRSs significantly improved the risk prediction for childhood outcomes beyond traditional prenatal risk factors. The increase (95% CI) in the area under the receiver operating characteristic curves were 0.10 (0.03–0.18) and 0.07 (0.02–0.12) for the rising-high-BMI trajectory (P=0.005) and overweight/obesity at age 4 (P=0.007), respectively. Prenatal metabolomics profiles advanced prediction of early childhood growth trajectories and obesity risk in offspring.
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影响因子：
3.8
作者：
Fernandez-Barres, S.;Romaguera, D.;Vrijheid, M.
通讯作者：
Vrijheid, M.
DOI：
10.2147/dmsott.s7384
发表时间：
2010-08-30
期刊：
Diabetes, metabolic syndrome and obesity : targets and therapy
影响因子：
--
作者：
Hammond RA;Levine R
通讯作者：
Levine R
影响因子：
--
作者：
La Merrill, Michele;Birnbaum, Linda S.
通讯作者：
Birnbaum, Linda S.
影响因子：
5.9
作者：
Hu, Zunsong;Tylavsky, Frances A.;Zhao, Qi
通讯作者：
Zhao, Qi
影响因子：
4.7
作者：
Guo L;Liu J;Ye R;Liu J;Zhuang Z;Ren A
通讯作者：
Ren A