Imperial College London
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DrJessicaLaine

Faculty of Medicine, School of Public Health

Honorary Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 9556j.laine

 
 
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Location

 

512Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Laine:2020:10.1021/acs.est.0c02657,
author = {Laine, JE and Bodinier, B and Robinson, O and Plusquin, M and Scalbert, A and Keski-Rahkonen, P and Robinot, N and Vermeulen, R and Pizzi, C and Asta, F and Nawrot, T and Gulliver, J and Chatzi, L and Kogevinas, M and Nieuwenhuijsen, M and Sunyer, J and Vrijheid, M and Chadeau-Hyam, M and Vineis, P},
doi = {10.1021/acs.est.0c02657},
journal = {Environmental Science and Technology (Washington)},
pages = {14502--14513},
title = {Prenatal exposure to multiple air pollutants, mediating molecular mechanisms, and shifts in birthweight.},
url = {http://dx.doi.org/10.1021/acs.est.0c02657},
volume = {54},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Mechanisms underlying adverse birth and later in life health effects from exposure to air pollution during the prenatal period have not been not fully elucidated, especially in the context of mixtures. We assessed the effects of prenatal exposure to mixtures of air pollutants of particulate matter (PM), PM2.5, PM10, nitrogen oxides, NO2, NO                        x                    , ultrafine particles (UFP), and oxidative potential (OP) of PM2.5 on infant birthweight in four European birth cohorts and the mechanistic underpinnings through cross-omics of metabolites and inflammatory proteins. The association between mixtures of air pollutants and birthweight z-scores (standardized for gestational age) was assessed for three different mixture models, using Bayesian machine kernel regression (BKMR). We determined the direct effect for PM2.5, PM10, NO2, and mediation by cross-omic signatures (identified using sparse partial least-squares regression) using causal mediation BKMR models. There was a negative association with birthweight z-scores and exposure to mixtures of air pollutants, where up to -0.21 or approximately a 96 g decrease in birthweight, comparing the 75th percentile to the median level of exposure to the air pollutant mixture could occur. Shifts in birthweight z-scores from prenatal exposure to PM2.5, PM10, and NO2 were mediated by molecular mechanisms, represented by cross-omics scores. Interleukin-17 and epidermal growth factor were identified as important inflammatory responses underlyingair pollution-associated shifts in birthweight. Our results signify that by identifying mechanisms through which mixtures of air pollutants operate, the causality of air pollution-associated shifts in birthweight is better supported, substantiating the need for reducing exposure in vulnerable populations.
AU  - Laine,JE
AU  - Bodinier,B
AU  - Robinson,O
AU  - Plusquin,M
AU  - Scalbert,A
AU  - Keski-Rahkonen,P
AU  - Robinot,N
AU  - Vermeulen,R
AU  - Pizzi,C
AU  - Asta,F
AU  - Nawrot,T
AU  - Gulliver,J
AU  - Chatzi,L
AU  - Kogevinas,M
AU  - Nieuwenhuijsen,M
AU  - Sunyer,J
AU  - Vrijheid,M
AU  - Chadeau-Hyam,M
AU  - Vineis,P
DO  - 10.1021/acs.est.0c02657
EP  - 14513
PY  - 2020///
SN  - 0013-936X
SP  - 14502
TI  - Prenatal exposure to multiple air pollutants, mediating molecular mechanisms, and shifts in birthweight.
T2  - Environmental Science and Technology (Washington)
UR  - http://dx.doi.org/10.1021/acs.est.0c02657
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33124810
UR  - https://pubs.acs.org/doi/10.1021/acs.est.0c02657
VL  - 54
ER  -
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