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
{"title":"Periconceptional and Prenatal Exposure to Metals and Extracellular Vesicle and Particle miRNAs in Human Milk: A Pilot Study.","authors":"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","doi":"10.1007/s12403-022-00520-1","DOIUrl":null,"url":null,"abstract":"<p><p>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 (<i>P</i><sub>Bonferroni</sub> < 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 (<i>P</i><sub>Bonferroni</sub> < 0.05). Other metal-miRNA associations were not statistically significant after multiple testing correction (<i>P</i><sub>Bonferroni</sub> ≥ 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.</p>","PeriodicalId":12116,"journal":{"name":"Exposure and Health","volume":null,"pages":null},"PeriodicalIF":4.5000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10707483/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Exposure and Health","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s12403-022-00520-1","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/11/3 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
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.
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.