Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network.
Intrauterine multi-metal exposure is associated with reduced fetal growth through modulation of the placental gene network.
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DOI:
10.1016/j.envint.2018.08.010
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发表时间:
2018-11
影响因子:
11.8
通讯作者:
Chen J
中科院分区:
文献类型:
--
作者:
Deyssenroth MA;Gennings C;Liu SH;Peng S;Hao K;Lambertini L;Jackson BP;Karagas MR;Marsit CJ;Chen J
Intrauterine metal exposures and aberrations in placental processes are known contributors to being born small for gestational age (SGA). However, studies to date have largely focused on independent effects, failing to account for potential interdependence among these markers. We evaluated the inter-relationship between multi-metal indices and placental gene network modules related to SGA status to highlight potential molecular pathways through which in utero multi-metal exposure impacts fetal growth. Weighted quantile sum (WQS) regression was performed using a panel of 16 trace metals measured in post-partum maternal toe nails collected from the Rhode Island Child Health Study (RICHS, n=195), and confirmation of the derived SGA-related multi-metal index was conducted using Bayesian kernel machine regression (BKMR). We leveraged existing placental weighted gene coexpression network data to examine associations between the SGA multi-metal index and placental gene expression. Expression of select genes were assessed using RT-PCR in an independent birth cohort, the New Hampshire Birth Cohort Study (NHBCS, n=237). We identified a multi-metal index, predominated by arsenic (As) and cadmium (Cd), that was positively associated with SGA status (Odds ratio = 2.73 [1.04, 7.18]). This index was also associated with the expression of placental gene modules involved in “gene expression” (β=−0.02 [−0.04,−0.01]) and “metabolic hormone secretion” (β=0.02 [0.00,0.05]). We validated the association between cadmium exposure and the expression of GRHL1 and INHBA, genes in the “metabolic hormone secretion” module, in NHBCS. We present a novel approach that integrates the application of advanced bioinformatics and biostatistics methods to delineate potential placental pathways through which trace metal exposures impact fetal growth.
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影响因子:
2.7
作者:
Garrett SH;Clarke K;Sens DA;Deng Y;Somji S;Zhang KK
通讯作者:
Zhang KK
影响因子:
3.6
作者:
Green, Benjamin B.;Armstrong, David A.;Marsit, Carmen J.
通讯作者:
Marsit, Carmen J.
DOI:
10.1186/1476-069x-10-94
发表时间:
2011-11-03
期刊:
Environmental health : a global access science source
影响因子:
--
作者:
Chou WC;Chen JL;Lin CF;Chen YC;Shih FC;Chuang CY
通讯作者:
Chuang CY
影响因子:
2
作者:
Czarnota J;Gennings C;Wheeler DC
通讯作者:
Wheeler DC
影响因子:
4.2
作者:
Emond, Jennifer A.;Karagas, Margaret R.;Gilbert-Diamond, Diane
通讯作者:
Gilbert-Diamond, Diane