Maternal serum concentrations of one-carbon metabolism factors modify the association between biomarkers of arsenic methylation efficiency and birth weight.

Maternal serum concentrations of one-carbon metabolism factors modify the association between biomarkers of arsenic methylation efficiency and birth weight.
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DOI:
10.1186/s12940-022-00875-7
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发表时间:
2022-07-14
影响因子:
6
通讯作者:
Fry, Rebecca C.
Fry, Rebecca C.
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Clark, Jeliyah;Bommarito, Paige;Styblo, Miroslav;Rubio-Andrade, Marisela;Garcia-Vargas, Gonzalo G.;Gamble, Mary V.;Fry, Rebecca C.

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无机砷是一种普遍存在的类金属和饮用水污染物。在多项研究中,产前暴露与出生结果有关。在代谢过程中,iAs被依次甲基化为单和二甲基化砷(mma和dma),以促进全身清除。甲基化效率低下(例如,尿中MMAs百分比较高)与某些ias相关疾病的风险增加有关。单碳代谢因子影响iAs甲基化,改变成人的毒性,需要在产前进一步研究。本研究的目的是评估叶酸、维生素B12和同型半胱氨酸作为iAs甲基化效率生物标志物与出生结局之间关系的修饰因子。研究人员利用了2011-2012年BEAR妊娠队列中母体尿液和脐带血清砷生物标志物以及母体血清叶酸、维生素B12和同型半胱氨酸浓度的数据。采用临床截断和中位数分割对单碳代谢因子进行二分类。拟合多变量线性回归模型来评估每个生物标志物与出生结局之间的相关性,并在单碳代谢因子水平内进行评估。采用全模型和简化模型的似然比检验检验统计相互作用在加性尺度上的显著性(α = 0.10)。在尿液生物标志物中,% U-MMAs与出生体重的相关性最强(β = - 23.09, 95% CI: - 44.54, - 1.64)。在B12缺乏(β = - 28.69, 95% CI: - 53.97, - 3.42)或高同型半胱氨酸血症(β = - 63.29, 95% CI: - 154.77, 28.19)的妇女所生婴儿的出生体重平均差异更大,更负。一般来说,血清叶酸和维生素B12浓度较高(或血清同型半胱氨酸浓度较低)的母亲所生婴儿的平均出生体重差异减弱。维生素B12和同型半胱氨酸对某些关联的添加性影响显著。胎龄的结果不太令人信服,与C-tAs相关的平均差异约为一周(β = 0.87, 95% CI: 0,1.74),但其他方面没有意义。妊娠期叶酸、维生素B12和同型半胱氨酸的血清浓度不同,组织中iAs及其代谢物(如% MMAs)的分布也不同。这代表了一种潜在的机制,通过这种机制,母亲的饮食可能会改变产前暴露于iAs的危害。在线版本包含补充材料,可在10.1186/s12940-022-00875-7获得。
Inorganic arsenic (iAs) is a ubiquitous metalloid and drinking water contaminant. Prenatal exposure is associated with birth outcomes across multiple studies. During metabolism, iAs is sequentially methylated to mono- and di-methylated arsenical species (MMAs and DMAs) to facilitate whole body clearance. Inefficient methylation (e.g., higher urinary % MMAs) is associated with increased risk of certain iAs-associated diseases. One-carbon metabolism factors influence iAs methylation, modifying toxicity in adults, and warrant further study during the prenatal period. The objective of this study was to evaluate folate, vitamin B12, and homocysteine as modifiers of the relationship between biomarkers of iAs methylation efficiency and birth outcomes. Data from the Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort (2011–2012)  with maternal urine and cord serum arsenic biomarkers and maternal serum folate, vitamin B12, and homocysteine concentrations were utilized. One-carbon metabolism factors were dichotomized using clinical cutoffs and median splits. Multivariable linear regression models were fit to evaluate associations between each biomarker and birth outcome overall and within levels of one-carbon metabolism factors. Likelihood ratio tests of full and reduced models were used to test the significance of statistical interactions on the additive scale (α = 0.10). Among urinary biomarkers, % U-MMAs was most strongly associated with birth weight (β = − 23.09, 95% CI: − 44.54, − 1.64). Larger, more negative mean differences in birth weight were observed among infants born to women who were B12 deficient (β = − 28.69, 95% CI: − 53.97, − 3.42) or experiencing hyperhomocysteinemia (β = − 63.29, 95% CI: − 154.77, 28.19). Generally, mean differences in birth weight were attenuated among infants born to mothers with higher serum concentrations of folate and vitamin B12 (or lower serum concentrations of homocysteine). Effect modification by vitamin B12 and homocysteine was significant on the additive scale for some associations. Results for gestational age were less compelling, with an approximate one-week mean difference associated with C-tAs (β = 0.87, 95% CI: 0, 1.74), but not meaningful otherwise. Tissue distributions of iAs and its metabolites (e.g., % MMAs) may vary according to serum concentrations of folate, vitamin B12 and homocysteine during pregnancy. This represents a potential mechanism through which maternal diet may modify the harms of prenatal exposure to iAs. The online version contains supplementary material available at 10.1186/s12940-022-00875-7.
DOI: 10.1021/acs.analchem.7b01868
发表时间: 2017-09-19
影响因子: 7.4
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影响因子: 4.5
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发表时间: 2008-03-01
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