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Article ; Online: Invited Perspective: PFAS and the Childhood Obesity Phenotype-Challenges and Opportunities.

Stratakis, Nikos / Vrijheid, Martine

2023 Volume 131, Issue 6, Page(s) 61301

MeSH term(s)	Humans ; Pediatric Obesity/epidemiology ; Environmental Exposure ; Environmental Pollutants ; Fluorocarbons/toxicity ; Alkanesulfonic Acids
Chemical Substances	Environmental Pollutants ; Fluorocarbons ; Alkanesulfonic Acids
Language	English
Publishing date	2023-06-07
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	195189-0
ISSN	1552-9924 ; 0091-6765 ; 1078-0475
ISSN (online)	1552-9924
ISSN	0091-6765 ; 1078-0475
DOI	10.1289/EHP12713
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Article ; Online: Correction to "Statistical Approaches to Study Exposome-Health Associations in the Context of Repeated Exposure Data: A Simulation Study".

Warembourg, Charline / Anguita-Ruiz, Augusto / Siroux, Valérie / Slama, Rémy / Vrijheid, Martine / Richiardi, Lorenzo / Basagaña, Xavier

Environmental science & technology

2024 Volume 58, Issue 4, Page(s) 2162

Language	English
Publishing date	2024-01-16
Publishing country	United States
Document type	Published Erratum
ISSN	1520-5851
ISSN (online)	1520-5851
DOI	10.1021/acs.est.3c10626
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Article ; Online: Child health and the environment: where next with birth cohort research?

Vrijheid, Martine

Occupational and environmental medicine

2014 Volume 71, Issue 10, Page(s) 663–664

MeSH term(s)	Biomedical Research ; Child ; Child Welfare ; Cohort Studies ; Environmental Exposure ; Humans
Language	English
Publishing date	2014-10
Publishing country	England
Document type	Editorial
ZDB-ID	1180733-7
ISSN	1470-7926 ; 1351-0711
ISSN (online)	1470-7926
ISSN	1351-0711
DOI	10.1136/oemed-2013-101942
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Article ; Online: The exposome: a new paradigm to study the impact of environment on health.

Vrijheid, Martine

Thorax

2014 Volume 69, Issue 9, Page(s) 876–878

Abstract: Environmental factors, here taken to include pollutants, lifestyle factors and behaviours, can play an important role in serious, chronic pathologies with large societal and economic costs, including respiratory disease. However, measurement of the ... ...

Abstract	Environmental factors, here taken to include pollutants, lifestyle factors and behaviours, can play an important role in serious, chronic pathologies with large societal and economic costs, including respiratory disease. However, measurement of the environmental component in epidemiological studies has traditionally relied on much more uncertain and incomplete assessments than measurement of the genome. The 'exposome' has therefore been proposed as a new paradigm to encompass the totality of human environmental (meaning all non-genetic) exposures from conception onwards, complementing the genome. Evidently, there are large challenges in developing the exposome concept into a workable approach for epidemiological research. These include: (1) the accurate and reliable measurement of many exposures in the external environment, (2) the measurement of a wide range of biological responses in the internal environment, and (3) addressing the dynamic, life course nature of the exposome. New tools and technologies that can be applied to address these challenges include exposure biomarker technologies, geographical mapping and remote sensing technologies, smartphone applications and personal exposure sensors, and high-throughput molecular 'omics' techniques. Prospective, population-based cohort studies have recently started to implement these methods using the exposome framework. The exposome thus offers a new and exciting paradigm for improvement and integration of currently scattered and uncertain data on the environmental component in disease aetiology. This should lead to a better understanding of the role of environmental risk factors in respiratory disease and other chronic pathologies, and ultimately to better primary prevention strategies.
MeSH term(s)	Chronic Disease ; Environmental Exposure/adverse effects ; Epigenomics ; Health Behavior ; Humans ; Life Style ; Metabolome ; Proteome
Chemical Substances	Proteome
Language	English
Publishing date	2014-09
Publishing country	England
Document type	Journal Article
ZDB-ID	204353-1
ISSN	1468-3296 ; 0040-6376
ISSN (online)	1468-3296
ISSN	0040-6376
DOI	10.1136/thoraxjnl-2013-204949
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Article ; Online: Commentary: gas cooking and child respiratory health--time to identify the culprits?

Vrijheid, Martine

International journal of epidemiology

2013 Volume 42, Issue 6, Page(s) 1737–1739

MeSH term(s)	Air Pollution, Indoor/statistics & numerical data ; Asthma/epidemiology ; Cooking/statistics & numerical data ; Humans ; Nitrogen Dioxide ; Respiratory Sounds
Chemical Substances	Nitrogen Dioxide (S7G510RUBH)
Language	English
Publishing date	2013-12
Publishing country	England
Document type	Comment ; Journal Article
ZDB-ID	187909-1
ISSN	1464-3685 ; 0300-5771
ISSN (online)	1464-3685
ISSN	0300-5771
DOI	10.1093/ije/dyt189
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Article ; Online: Social inequalities in pregnancy metabolic profile: findings from the multi-ethnic Born in Bradford cohort study.

Elhakeem, Ahmed / Clayton, Gemma L / Soares, Ana Goncalves / Taylor, Kurt / Maitre, Léa / Santorelli, Gillian / Wright, John / Lawlor, Deborah A / Vrijheid, Martine

BMC pregnancy and childbirth

2024 Volume 24, Issue 1, Page(s) 333

Abstract: Background: Lower socioeconomic position (SEP) associates with adverse pregnancy and perinatal outcomes and with less favourable metabolic profile in nonpregnant adults. Socioeconomic differences in pregnancy metabolic profile are unknown. We ... ...

Abstract	Background: Lower socioeconomic position (SEP) associates with adverse pregnancy and perinatal outcomes and with less favourable metabolic profile in nonpregnant adults. Socioeconomic differences in pregnancy metabolic profile are unknown. We investigated association between a composite measure of SEP and pregnancy metabolic profile in White European (WE) and South Asian (SA) women. Methods: We included 3,905 WE and 4,404 SA pregnant women from a population-based UK cohort. Latent class analysis was applied to nineteen individual, household, and area-based SEP indicators (collected by questionnaires or linkage to residential address) to derive a composite SEP latent variable. Targeted nuclear magnetic resonance spectroscopy was used to determine 148 metabolic traits from mid-pregnancy serum samples. Associations between SEP and metabolic traits were examined using linear regressions adjusted for gestational age and weighted by latent class probabilities. Results: Five SEP sub-groups were identified and labelled 'Highest SEP' (48% WE and 52% SA), 'High-Medium SEP' (77% and 23%), 'Medium SEP' (56% and 44%) 'Low-Medium SEP' (21% and 79%), and 'Lowest SEP' (52% and 48%). Lower SEP was associated with more adverse levels of 113 metabolic traits, including lower high-density lipoprotein (HDL) and higher triglycerides and very low-density lipoprotein (VLDL) traits. For example, mean standardized difference (95%CI) in concentration of small VLDL particles (vs. Highest SEP) was 0.12 standard deviation (SD) units (0.05 to 0.20) for 'Medium SEP' and 0.25SD (0.18 to 0.32) for 'Lowest SEP'. There was statistical evidence of ethnic differences in associations of SEP with 31 traits, primarily characterised by stronger associations in WE women e.g., mean difference in HDL cholesterol in WE and SA women respectively (vs. Highest-SEP) was -0.30SD (-0.41 to -0.20) and -0.16SD (-0.27 to -0.05) for 'Medium SEP', and -0.62SD (-0.72 to -0.52) and -0.29SD (-0.40 to -0.20) for 'Lowest SEP'. Conclusions: We found widespread socioeconomic differences in metabolic traits in pregnant WE and SA women residing in the UK. Further research is needed to understand whether the socioeconomic differences we observe here reflect pre-conception differences or differences in the metabolic pregnancy response. If replicated, it would be important to explore if these differences contribute to socioeconomic differences in pregnancy outcomes.
MeSH term(s)	Humans ; Female ; Pregnancy ; Adult ; White People/statistics & numerical data ; Cohort Studies ; Triglycerides/blood ; United Kingdom ; Socioeconomic Factors ; Latent Class Analysis ; Asian People/statistics & numerical data ; Metabolome ; Lipoproteins, VLDL/blood ; Lipoproteins, HDL/blood ; Social Class ; Young Adult
Chemical Substances	Triglycerides ; Lipoproteins, VLDL ; Lipoproteins, HDL
Language	English
Publishing date	2024-04-30
Publishing country	England
Document type	Journal Article
ZDB-ID	2059869-5
ISSN	1471-2393 ; 1471-2393
ISSN (online)	1471-2393
ISSN	1471-2393
DOI	10.1186/s12884-024-06538-4
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Article ; Online: Integrating -omics approaches into population-based studies of endocrine disrupting chemicals: A scoping review.

Maitre, Léa / Jedynak, Paulina / Gallego, Marta / Ciaran, Laura / Audouze, Karine / Casas, Maribel / Vrijheid, Martine

Environmental research

2023 Volume 228, Page(s) 115788

Abstract: Health effects of endocrine disrupting chemicals (EDCs) are challenging to detect in the general population. Omics technologies become increasingly common to identify early biological changes before the apparition of clinical symptoms, to explore toxic ... ...

Abstract	Health effects of endocrine disrupting chemicals (EDCs) are challenging to detect in the general population. Omics technologies become increasingly common to identify early biological changes before the apparition of clinical symptoms, to explore toxic mechanisms and to increase biological plausibility of epidemiological associations. This scoping review systematically summarises the application of omics in epidemiological studies assessing EDCs-associated biological effects to identify potential gaps and priorities for future research. Ninety-eight human studies (2004-2021) were identified through database searches (PubMed, Scopus) and citation chaining and focused on phthalates (34 studies), phenols (19) and PFASs (17), while PAHs (12) and recently-used pesticides (3) were less studied. The sample sizes ranged from 10 to 12,476 (median = 159), involving non-pregnant adults (38), pregnant women (11), children/adolescents (15) or both latter populations studied together (23). Several studies included occupational workers (10) and/or highly exposed groups (11) focusing on PAHs, PFASs and pesticides, while studies on phenols and phthalates were performed in the general population only. Analysed omics layers included metabolic profiles (30, including 14 targeted analyses), miRNA (13), gene expression (11), DNA methylation (8), microbiome (5) and proteins (3). Twenty-one studies implemented targeted multi-assays focusing on clinical routine blood lipid traits, oxidative stress or hormones. Overall, DNA methylation and gene expression associations with EDCs did not overlap across studies, while some EDC-associated metabolite groups, such as carnitines, nucleotides and amino acids in untargeted metabolomic studies, and oxidative stress markers in targeted studies, were consistent across studies. Studies had common limitations such as small sample sizes, cross-sectional designs and single sampling for exposure biomonitoring. In conclusion, there is a growing body of evidence evaluating the early biological responses to exposure to EDCs. This review points to a need for larger longitudinal studies, wider coverage of exposures and biomarkers, replication studies and standardisation of research methods and reporting.
MeSH term(s)	Child ; Adult ; Humans ; Pregnancy ; Female ; Adolescent ; Endocrine Disruptors/toxicity ; Cross-Sectional Studies ; Pesticides ; Phenols/toxicity ; Fluorocarbons
Chemical Substances	Endocrine Disruptors ; Pesticides ; Phenols ; Fluorocarbons
Language	English
Publishing date	2023-03-31
Publishing country	Netherlands
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2023.115788
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Article ; Online: Relation of prenatal and postnatal PM

Whitworth, Kristina W / Rector-Houze, Alison M / Chen, Wei-Jen / Ibarluzea, Jesus / Swartz, Michael / Symanski, Elaine / Iniguez, Carmen / Lertxundi, Aitana / Valentin, Antonia / González-Safont, Llucia / Vrijheid, Martine / Guxens, Monica

International journal of hygiene and environmental health

2024 Volume 256, Page(s) 114317

Abstract: The literature informing susceptible periods of exposure on children's neurodevelopment is limited. We evaluated the impacts of pre- and postnatal fine particulate matter ( ... ...

Abstract	The literature informing susceptible periods of exposure on children's neurodevelopment is limited. We evaluated the impacts of pre- and postnatal fine particulate matter (PM
MeSH term(s)	Pregnancy ; Female ; Humans ; Child, Preschool ; Child ; Infant ; Air Pollutants/analysis ; Prenatal Exposure Delayed Effects ; Bayes Theorem ; Particulate Matter/analysis ; Cognition ; Air Pollution ; Environmental Exposure
Chemical Substances	Air Pollutants ; Particulate Matter
Language	English
Publishing date	2024-01-03
Publishing country	Germany
Document type	Journal Article
ZDB-ID	2009176-X
ISSN	1618-131X ; 1438-4639
ISSN (online)	1618-131X
ISSN	1438-4639
DOI	10.1016/j.ijheh.2023.114317
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Article ; Online: Integrating -omics approaches into population-based studies of endocrine disrupting chemicals: A scoping review

Maitre, Léa / Jedynak, Paulina / Gallego, Marta / Ciaran, Laura / Audouze, Karine / Casas, Maribel / Vrijheid, Martine

Environmental Research. 2023 July, v. 228 p.115788-

2023

Abstract	Health effects of endocrine disrupting chemicals (EDCs) are challenging to detect in the general population. Omics technologies become increasingly common to identify early biological changes before the apparition of clinical symptoms, to explore toxic mechanisms and to increase biological plausibility of epidemiological associations. This scoping review systematically summarises the application of omics in epidemiological studies assessing EDCs-associated biological effects to identify potential gaps and priorities for future research. Ninety-eight human studies (2004-2021) were identified through database searches (PubMed, Scopus) and citation chaining and focused on phthalates (34 studies), phenols (19) and PFASs (17), while PAHs (12) and recently-used pesticides (3) were less studied. The sample sizes ranged from 10 to 12,476 (median = 159), involving non-pregnant adults (38), pregnant women (11), children/adolescents (15) or both latter populations studied together (23). Several studies included occupational workers (10) and/or highly exposed groups (11) focusing on PAHs, PFASs and pesticides, while studies on phenols and phthalates were performed in the general population only. Analysed omics layers included metabolic profiles (30, including 14 targeted analyses), miRNA (13), gene expression (11), DNA methylation (8), microbiome (5) and proteins (3). Twenty-one studies implemented targeted multi-assays focusing on clinical routine blood lipid traits, oxidative stress or hormones. Overall, DNA methylation and gene expression associations with EDCs did not overlap across studies, while some EDC-associated metabolite groups, such as carnitines, nucleotides and amino acids in untargeted metabolomic studies, and oxidative stress markers in targeted studies, were consistent across studies. Studies had common limitations such as small sample sizes, cross-sectional designs and single sampling for exposure biomonitoring. In conclusion, there is a growing body of evidence evaluating the early biological responses to exposure to EDCs. This review points to a need for larger longitudinal studies, wider coverage of exposures and biomarkers, replication studies and standardisation of research methods and reporting.
Keywords	DNA methylation ; biomarkers ; blood lipids ; databases ; environmental monitoring ; gene expression ; humans ; metabolites ; metabolomics ; microRNA ; microbiome ; nucleotides ; oxidative stress ; phthalates ; research ; toxicity ; Endocrine disruptors ; Omics ; Environmental epidemiology ; Scoping review
Language	English
Dates of publication	2023-07
Publishing place	Elsevier Inc.
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	205699-9
ISSN	1096-0953 ; 0013-9351
ISSN (online)	1096-0953
ISSN	0013-9351
DOI	10.1016/j.envres.2023.115788
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Statistical Approaches to Study Exposome-Health Associations in the Context of Repeated Exposure Data: A Simulation Study.

Warembourg, Charline / Anguita-Ruiz, Augusto / Siroux, Valérie / Slama, Rémy / Vrijheid, Martine / Richiardi, Lorenzo / Basagaña, Xavier

Environmental science & technology

2023 Volume 57, Issue 43, Page(s) 16232–16243

Abstract: The exposome concept aims to consider all environmental stressors simultaneously. The dimension of the data and the correlation that may exist between exposures lead to various statistical challenges. Some methodological studies have provided insight ... ...

Abstract	The exposome concept aims to consider all environmental stressors simultaneously. The dimension of the data and the correlation that may exist between exposures lead to various statistical challenges. Some methodological studies have provided insight regarding the efficiency of specific modeling approaches in the context of exposome data assessed once for each subject. However, few studies have considered the situation in which environmental exposures are assessed repeatedly. Here, we conduct a simulation study to compare the performance of statistical approaches to assess exposome-health associations in the context of multiple exposure variables. Different scenarios were tested, assuming different types and numbers of exposure-outcome causal relationships. An application study using real data collected within the INMA mother-child cohort (Spain) is also presented. In the simulation experiment, assessed methods showed varying performance across scenarios, making it challenging to recommend a one-size-fits-all strategy. Generally, methods such as sparse partial least-squares and the deletion-substitution-addition algorithm tended to outperform the other tested methods (ExWAS, Elastic-Net, DLNM, or sNPLS). Notably, as the number of true predictors increased, the performance of all methods declined. The absence of a clearly superior approach underscores the additional challenges posed by repeated exposome data, such as the presence of more complex correlation structures and interdependencies between variables, and highlights that careful consideration is essential when selecting the appropriate statistical method. In this regard, we provide recommendations based on the expected scenario. Given the heightened risk of reporting false positive or negative associations when applying these techniques to repeated exposome data, we advise interpreting the results with caution, particularly in compromised contexts such as those with a limited sample size.
MeSH term(s)	Humans ; Exposome ; Environmental Exposure ; Spain ; Algorithms
Language	English
Publishing date	2023-10-16
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1520-5851
ISSN (online)	1520-5851
DOI	10.1021/acs.est.3c04805
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