Periconceptional and Prenatal Exposure to Metals and Extracellular Vesicle and Particle miRNAs in Human Milk: A Pilot Study.

IF 4.5 3区 环境科学与生态学 Q1 WATER RESOURCES Exposure and Health Pub Date : 2023-12-01 Epub Date: 2022-11-03 DOI:10.1007/s12403-022-00520-1
Caitlin G Howe, David A Armstrong, Meghan E Muse, Diane Gilbert-Diamond, Jiang Gui, Anne G Hoen, Thomas J Palys, Roxanna L Barnaby, Bruce A Stanton, Brian P Jackson, Brock C Christensen, Margaret R Karagas
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Abstract

Human milk is a rich source of microRNAs (miRNAs), which can be transported by extracellular vesicles and particles (EVPs) and are hypothesized to contribute to maternal-offspring communication and child development. Environmental contaminant impacts on EVP miRNAs in human milk are largely unknown. In a pilot study of 54 mother-child pairs from the New Hampshire Birth Cohort Study, we examined relationships between five metals (arsenic, lead, manganese, mercury, and selenium) measured in maternal toenail clippings, reflecting exposures during the periconceptional and prenatal periods, and EVP miRNA levels in human milk. 798 miRNAs were profiled using the NanoString nCounter platform; 200 miRNAs were widely detectable and retained for downstream analyses. Metal-miRNA associations were evaluated using covariate-adjusted robust linear regression models. Arsenic exposure during the periconceptional and prenatal periods was associated with lower total miRNA content in human milk EVPs (PBonferroni < 0.05). When evaluating miRNAs individually, 13 miRNAs were inversely associated with arsenic exposure, two in the periconceptional period and 11 in the prenatal period (PBonferroni < 0.05). Other metal-miRNA associations were not statistically significant after multiple testing correction (PBonferroni ≥ 0.05). Many of the arsenic-associated miRNAs are involved in lactation and have anti-inflammatory properties in the intestine and tumor suppressive functions in breast cells. Our findings raise the possibility that periconceptional and prenatal arsenic exposure may reduce levels of multiple miRNAs in human milk EVPs. However, larger confirmatory studies, which can apply environmental mixture approaches, evaluate potential effect modifiers of these relationships, and examine possible downstream consequences for maternal and child health and breastfeeding outcomes, are needed.

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孕周和产前暴露于人乳中的金属和细胞外囊泡和颗粒mirna:一项初步研究
母乳是微RNA(miRNA)的丰富来源,miRNA可通过细胞外囊泡和颗粒(EVPs)运输,被认为有助于母子交流和儿童发育。环境污染物对母乳中 EVP miRNAs 的影响在很大程度上是未知的。在一项对新罕布什尔州出生队列研究(New Hampshire Birth Cohort Study)中 54 对母子进行的试验性研究中,我们检测了在母体趾甲剪片中测量到的五种金属(砷、铅、锰、汞和硒)与母乳中 EVP miRNA 水平之间的关系,这五种金属反映了围孕期和产前的暴露情况。利用 NanoString nCounter 平台分析了 798 个 miRNA,其中 200 个 miRNA 可被广泛检测并保留用于下游分析。使用协变量调整稳健线性回归模型评估了金属与 miRNA 的关联。围孕期和产前的砷暴露与人乳 EVP 中较低的 miRNA 总含量有关(PBonferroni < 0.05)。在单独评估 miRNA 时,13 个 miRNA 与砷暴露呈反比关系,其中 2 个在围孕期,11 个在产前(PBonferroni < 0.05)。其他金属与 miRNA 的关系经多重检验校正后无统计学意义(PBonferroni ≥ 0.05)。许多与砷相关的 miRNA 参与哺乳,在肠道中具有抗炎特性,在乳腺细胞中具有抑制肿瘤的功能。我们的研究结果表明,围孕期和产前砷暴露可能会降低人乳 EVP 中多种 miRNA 的水平。然而,我们还需要进行更大规模的确证研究,这些研究可以应用环境混合物方法,评估这些关系的潜在效应调节因子,并检查对母婴健康和母乳喂养结果可能产生的下游影响。
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来源期刊
Exposure and Health
Exposure and Health Environmental Science-Pollution
CiteScore
13.80
自引率
9.00%
发文量
71
期刊介绍: It is a multidisciplinary journal focused on global human health consequences of exposure to water pollution in natural and engineered environments. The journal provides a unique platform for scientists in this field to exchange ideas and share information on research for the solution of health effects of exposure to water pollution. Coverage encompasses Engineering sciences; Biogeochemical sciences; Health sciences; Exposure analysis and Epidemiology; Social sciences and public policy; Mathematical, numerical and statistical methods; Experimental, data collection and data analysis methods and more. Research topics include local, regional and global water pollution, exposure and health problems; health risk analysis of water pollution, methods of quantification and analysis of risk under uncertainty; aquatic biogeochemical processes in natural and engineered systems and health effects; analysis of pollution, exposure and health data; and more.
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