The Pregnancy Exposome

Current environmental health reports

Volumn 2, Issue 2, 2015, Pages 204-213

  Robinson, Oliver ^a,b,c   Vrijheid, Martine ^a,b,c  

^a CENTRE FOR RESEARCH IN ENVIRONMENTAL EPIDEMIOLOGY CREAL   (Spain)

^b UNIVERSITAT POMPEU FABRA   (Spain)

^c CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

Author keywords

Child health; Exposome; Exposure; Multi pollutant; Omics; Pregnancy

Indexed keywords

ADVERSE EFFECTS; ANALYSIS; CHILD; CHILD HEALTH; DRUG EFFECTS; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MONITORING; FEMALE; FETUS DEVELOPMENT; HUMAN; PREGNANCY;

CHILD; CHILD HEALTH; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MONITORING; FEMALE; FETAL DEVELOPMENT; HUMANS; PREGNANCY;

EID: 84940856989     PISSN: None     EISSN: 21965412     Source Type: Journal    
DOI: 10.1007/s40572-015-0043-2     Document Type: Article

References (50)

1. Wild CP. Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology. Cancer Epidemiol Biomarkers Prev. 2005;14:1847–50.
2. Wild CP. The exposome: from concept to utility. Int J Epidemiol. 2012;41:24–32.
3. Vrijheid M, Slama R, Robinson O, Chatzi L, Coen M, van den Hazel P, et al. The human early-life exposome (HELIX): project rationale and design. Environ Health Perspect. 2014;122:535–44. This paper describes the design and rationale of the HELIX project, one of the first european-wide Exposome projects, and should ultimately show the utility of the Exposome approach.
4. Wild CP, Scalbert A, Herceg Z. Measuring the exposome: a powerful basis for evaluating environmental exposures and cancer risk. Environ Mol Mutagen. 2013;54:480–99.
5. Rappaport SM, Barupal DK, Wishart D, Vineis P, Scalbert A. The blood exposome and its role in discovering causes of disease. Environ Health Perspect. 2014;122:769–74.
6. Miller GW, Jones DP. The nature of nurture: refining the definition of the exposome. Toxicol Sci. 2014;137:1–2.
7. Peters A, Hoek G, Katsouyanni K. Understanding the link between environmental exposures and health: does the exposome promise too much? J Epidemiol Community Health. 2012;66:103–5.
8. Patel CJ, Bhattacharya J, Butte AJ. An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus. PLoS One. 2010;5:e10746.
9. Nieuwenhuijsen M, Donaire-Gonzalez D, Foraster M, Martinez D, Cisneros A. Using personal sensors to assess the exposome and acute health effects. Int J Environ Res Public Health. 2014;11:7805–19.
10. Chadeau-Hyam M, Athersuch TJ, Keun HC, De Iorio M, Ebbels TMD, Jenab M, et al. Meeting-in-the-middle using metabolic profiling—a strategy for the identification of intermediate biomarkers in cohort studies. Biomarkers. 2011;16:83–8.
11. Wang Z, Klipfell E, Bennett BJ, Koeth R, Levison BS, Dugar B, et al. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature. 2011;472:57–63.
12. Athersuch TJ. The role of metabolomics in characterizing the human exposome. Bioanalysis. 2012;4:2207–12.
13. Buck Louis GM, Yeung E, Sundaram R, Laughon SK, Zhang C. The exposome–exciting opportunities for discoveries in reproductive and perinatal epidemiology. Paediatr Perinat Epidemiol. 2013;27:229–36.
14. Robinson O, Want E, Coen M, Kennedy R, van den Bosch C, Gebrehawaria Y, et al. Hirmi Valley liver disease: a disease associated with exposure to pyrrolizidine alkaloids and DDT. J Hepatol. 2014;60:96–102.
15. Sun Z, Tao Y, Li S, Ferguson KK, Meeker JD, Park SK, et al. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environ Health. 2013;12:85. Provides an important first simulation study on potential Exposome statistical approaches.
16. Chadeau-Hyam M, Campanella G, Jombart T, Bottolo L, Portengen L, Vineis P, et al. Deciphering the complex: methodological overview of statistical models to derive OMICS-based biomarkers. Environ Mol Mutagen. 2013;54:542–57.
17. Mostofsky E, Schwartz J, Coull BA, Koutrakis P, Wellenius GA, Suh HH, et al. Modeling the association between particle constituents of air pollution and health outcomes. Am J Epidemiol. 2012;176:317–26.
18. Winquist A, Kirrane E, Klein M, Strickland M, Darrow LA, Sarnat SE, et al. Joint effects of ambient air pollutants on pediatric asthma emergency department visits in Atlanta, 1998–2004. Epidemiology. 2014;25:666–73.
19. Dominici F, Peng RD, Barr CD, Bell ML. Protecting human health from air pollution: shifting from a single-pollutant to a multipollutant approach. Epidemiology. 2010;21:187–94.
20. Billionnet C, Sherrill D, Annesi-Maesano I. Estimating the health effects of exposure to multi-pollutant mixture. Ann Epidemiol. 2012;22:126–41.
21. Lenters V, Portengen L, Smit LA, Jonsson BA, Giwercman A, Rylander L, et al. Phthalates, perfluoroalkyl acids, metals and organochlorines and reproductive function: a multipollutant assessment in Greenlandic, Polish and Ukrainian men. Occup Environ Med. 2014. doi:10.1136/oemed-2014-102264.
22. Lampa E, Lind L, Lind PM, Bornefalk-Hermansson A. The identification of complex interactions in epidemiology and toxicology: a simulation study of boosted regression trees. Environ Health. 2014;13:57.
23. Vrijheid M. Child health and the environment: where next with birth cohort research? Occup Environ Med. 2014;71:663–4.
24. Pedersen M, Giorgis-Allemand L, Bernard C, Aguilera I, Andersen AM, Ballester F, et al. Ambient air pollution and low birthweight: a European cohort study (ESCAPE). Lancet Respir Med. 2013;1:695–704.
25. Wigle DT, Arbuckle TE, Turner MC, Berube A, Yang Q, Liu S, et al. Epidemiologic evidence of relationships between reproductive and child health outcomes and environmental chemical contaminants. J Toxicol Environ Health B Crit Rev. 2008;11:373–517.
26. Gascon M, Morales E, Sunyer J, Vrijheid M. Effects of persistent organic pollutants on the developing respiratory and immune systems: a systematic review. Environ Int. 2013;52C:51–65.
27. Thayer KA, Heindel JJ, Bucher JR, Gallo MA. Role of environmental chemicals in diabetes and obesity: a National Toxicology Program workshop review. Environ Health Perspect. 2012;120:779–89.
28. Godfrey KM, Gluckman PD, Hanson MA. Developmental origins of metabolic disease: life course and intergenerational perspectives. Trends Endocrinol Metab. 2010;21:199–205.
29. Van den Bergh BR. Developmental programming of early brain and behaviour development and mental health: a conceptual framework. Dev Med Child Neurol. 2011;53 Suppl 4:19–23.
30. Warren J, Fuentes M, Herring A, Langlois P. Spatial-temporal modeling of the association between air pollution exposure and preterm birth: identifying critical windows of exposure. Biometrics. 2012;68:1157–67.
31. Le HQ, Batterman SA, Wirth JJ, Wahl RL, Hoggatt KJ, Sadeghnejad A, et al. Air pollutant exposure and preterm and term small-for-gestational-age births in Detroit, Michigan: long-term trends and associations. Environ Int. 2012;44:7–17.
32. Dadvand P, Ostro B, Figueras F, Foraster M, Basagana X, Valentin A, et al. Residential proximity to major roads and term low birth weight: the roles of air pollution, heat, noise, and road-adjacent trees. Epidemiology. 2014;25:518–25. This is one of the first studies to incorporate many parts of the community level external exposome during pregnancy into a single analysis.
33. Vafeiadi M, Vrijheid M, Fthenou E, Chalkiadaki G, Rantakokko P, Kiviranta H, et al. Persistent organic pollutants exposure during pregnancy, maternal gestational weight gain, and birth outcomes in the mother-child cohort in Crete, Greece (RHEA study). Environ Int. 2014;64:116–23.
34. Braun JM, Kalkbrenner AE, Just AC, Yolton K, Calafat AM, Sjodin A, et al. Gestational exposure to endocrine-disrupting chemicals and reciprocal social, repetitive, and stereotypic behaviors in 4- and 5-year-old children: the HOME study. Environ Health Perspect. 2014;122:513–20.
35. Yorifuji T, Debes F, Weihe P, Grandjean P. Prenatal exposure to lead and cognitive deficit in 7- and 14-year-old children in the presence of concomitant exposure to similar molar concentration of methylmercury. Neurotoxicol Teratol. 2011;33:205–11.
36. Golding J, Gregory S, Iles-Caven Y, Lingam R, Davis JM, Emmett P, et al. Parental, prenatal, and neonatal associations with ball skills at age 8 using an exposome approach. J Child Neurol. 2014;29(10):1390-8.
37. Koestler DC, Avissar-Whiting M, Houseman EA, Karagas MR, Marsit CJ. Differential DNA methylation in umbilical cord blood of infants exposed to low levels of arsenic in utero. Environ Health Perspect. 2013;121:971–7.
38. Fry RC, Navasumrit P, Valiathan C, Svensson JP, Hogan BJ, Luo M, et al. Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers. PLoS Genet. 2007;3:e207.
39. Rager JE, Bailey KA, Smeester L, Miller SK, Parker JS, Laine JE, et al. Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood. Environ Mol Mutagen. 2014;55:196–208. This study integrates epigenomic regulation with the transcriptome during pregnancy and identifies signatures of arsenic exposure in plausible disease related pathways.
40. Ahmed S, Mahabbat-e Khoda S, Rekha RS, Gardner RM, Ameer SS, Moore S, et al. Arsenic-associated oxidative stress, inflammation, and immune disruption in human placenta and cord blood. Environ Health Perspect. 2011;119:258–64.
41. Suter M, Ma J, Harris A, Patterson L, Brown KA, Shope C, et al. Maternal tobacco use modestly alters correlated epigenome-wide placental DNA methylation and gene expression. Epigenetics. 2011;6:1284–94.
42. Joubert BR, Haberg SE, Nilsen RM, Wang X, Vollset SE, Murphy SK, et al. 450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy. Environ Health Perspect. 2012;120:1425–31. Using smoking, which may be considered a first model of environmental exposure response, they identify specific methylation sites including gens involved in detoxification.
43. Hochstenbach K, van Leeuwen DM, Gmuender H, Gottschalk RW, Løvik M, Granum B, et al. Global gene expression analysis in cord blood reveals gender-specific differences in response to carcinogenic exposure in utero. Cancer Epidemiol Biomark Prev. 2012;21:1756–67.
44. Maitre L, Fthenou E, Athersuch T, Coen M, Toledano M, Holmes E, et al. Urinary metabolic profiles in early pregnancy are associated with preterm birth and fetal growth restriction in the Rhea mother-child cohort study. BMC Med. 2014;12:110. One of the first and largest pregnancy metabolomic studies, which may prove a useful exposome platform.
45. Hou L, Wang D, Baccarelli A. Environmental chemicals and microRNAs. Mutat Res. 2011;714:105–12.
46. Hou L, Zhang X, Wang D, Baccarelli A. Environmental chemical exposures and human epigenetics. Int J Epidemiol. 2012;41:79–105.
47. Monick MM, Beach SR, Plume J, Sears R, Gerrard M, Brody GH, et al. Coordinated changes in AHRR methylation in lymphoblasts and pulmonary macrophages from smokers. Am J Med Genet B Neuropsychiatr Genet. 2012;159B:141–51.
48. Nicholson G, Rantalainen M, Maher AD, Li JV, Malmodin D, Ahmadi KR, et al. Human metabolic profiles are stably controlled by genetic and environmental variation. Mol Syst Biol. 2011;7:525.
49. Patel CJ, Ioannidis JP. Placing epidemiological results in the context of multiplicity and typical correlations of exposures. J Epidemiol Commun Health. 2014;68(11):1096-100.
50. Exposomics. 2014 [cited 29/10/2014]; Available from: http://www.exposomicsproject.eu/