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Villar J, Cavoretto PI, Barros FC, Romero R, Papageorghiou AT, Kennedy SH. Etiologically Based Functional Taxonomy of the Preterm Birth Syndrome. Clin Perinatol 2024; 51:475-495. [PMID: 38705653 DOI: 10.1016/j.clp.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
Preterm birth (PTB) is a complex syndrome traditionally defined by a single parameter, namely, gestational age at birth (ie, ˂37 weeks). This approach has limitations for clinical usefulness and may explain the lack of progress in identifying cause-specific effective interventions. The authors offer a framework for a functional taxonomy of PTB based on (1) conceptual principles established a priori; (2) known etiologic factors; (3) specific, prospectively identified obstetric and neonatal clinical phenotypes; and (4) postnatal follow-up of growth and development up to 2 years of age. This taxonomy includes maternal, placental, and fetal conditions routinely recorded in data collection systems.
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Affiliation(s)
- Jose Villar
- Nuffield Department of Women's & Reproductive Health, Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford OX3 9DU, UK.
| | - Paolo Ivo Cavoretto
- Department of Obstetrics and Gynaecology, Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milan 20132, Italy
| | - Fernando C Barros
- Post-Graduate Program in Health in the Life Cycle, Catholic University of Pelotas, Rua Félix da Cunha, Pelotas, Rio Grande do Sul 96010-000, Brazil
| | - Roberto Romero
- Pregnancy Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, United States Department of Health and Human Services, Bethesda, MD, USA; Department of Obstetrics and Gynecology, University of Michigan, L4001 Women's Hospital, 1500 East Medical Center Drive, Ann Arbor, MI 48109-0276, USA; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Aris T Papageorghiou
- Nuffield Department of Women's & Reproductive Health, Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford OX3 9DU, UK
| | - Stephen H Kennedy
- Nuffield Department of Women's & Reproductive Health, Oxford Maternal & Perinatal Health Institute, Green Templeton College, University of Oxford, Oxford OX3 9DU, UK
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Costopoulou D, Kedikoglou K, Vafeiadi M, Roumeliotaki T, Margetaki K, Stephanou EG, Myridakis A, Leondiadis L. Systematic investigation of organochlorine pesticides and polychlorinated biphenyls blood levels in Greek children from the Rhea birth cohort suggests historical exposure to DDT and through diet to DDE. ENVIRONMENT INTERNATIONAL 2024; 187:108686. [PMID: 38669722 DOI: 10.1016/j.envint.2024.108686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/08/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
Abstract
The blood levels of organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) have been thoroughly investigated in Greek children from the Rhea birth cohort study. This investigation aimed to assess exposure levels, explore their possible relationship with children's age and sex, and indicate potential sources of exposure. Exposure patterns and common sources of PCBs and OCPs were analyzed using bivariate and multivariate statistics. A total of 947 blood samples from study participants were analyzed for OCP and PCB exposure, with 375 samples collected at 4 years old, 239 at 6.5 years old, and 333 at 11 years old. Elevated levels of DDE were observed in 6.5-year-old children compared to corresponding levels in other European countries. Higher levels of DDE were found in 4-year-old children, with the lowest concentrations in the 11-year-old group. The DDT/DDE ratio was consistently less than 1 among all the examined subjects. These results indicate exposure to DDT and DDE both in utero and through breastfeeding and dietary intake. For the entire cohort population, the highest concentration was determined for PCB 28, followed by PCBs 138, 153, and 180. The sum of the six indicator PCBs implied low exposure levels for the majority of the cohort population. Spearman correlations revealed strong associations between PCBs and OCPs, while principal component analysis identified two different groupings of exposure. DDE exhibited a correlation with a series of PCBs (153, 156, 163, 180), indicating a combined OCP-PCB source, and an anticorrelation with others (52, 28, 101), implying a separate and competing source.
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Affiliation(s)
- Danae Costopoulou
- Mass Spectrometry and Dioxin Analysis Laboratory, INRASTES, NCSR "Demokritos", Neapoleos 27, 15310 Athens, Greece.
| | - Kleopatra Kedikoglou
- Mass Spectrometry and Dioxin Analysis Laboratory, INRASTES, NCSR "Demokritos", Neapoleos 27, 15310 Athens, Greece
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Voutes University Campus, 70013 Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Voutes University Campus, 70013 Heraklion, Greece
| | - Katerina Margetaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Voutes University Campus, 70013 Heraklion, Greece
| | - Euripides G Stephanou
- Department of Chemistry, University of Crete, Voutes University Campus, 70013 Heraklion, Greece.
| | - Antonis Myridakis
- Centre for Pollution Research & Policy, Environmental Sciences, Brunel University London, UB8 3PH, United Kingdom
| | - Leondios Leondiadis
- Mass Spectrometry and Dioxin Analysis Laboratory, INRASTES, NCSR "Demokritos", Neapoleos 27, 15310 Athens, Greece
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Faraone SV. Understanding Environmental Exposures and ADHD: a Pathway Forward. PREVENTION SCIENCE : THE OFFICIAL JOURNAL OF THE SOCIETY FOR PREVENTION RESEARCH 2024; 25:337-342. [PMID: 38512443 DOI: 10.1007/s11121-024-01672-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/12/2024] [Indexed: 03/23/2024]
Abstract
This commentary addresses a series of articles in Prevention Science about environmental causes of attention deficit hyperactivity disorder (ADHD). It provides an overview of their key findings and places them in a broader context to facilitate their interpretation. Each of the articles included in the special issue is a meta-analysis assessing the association of ADHD with several environmental exposures. Each of the author teams systematically searched for articles and defined eligibility criteria. They assured that the measurement of risk factors preceded the measurement of ADHD. Most of the analyses are based on many studies with many participants in the constituent studies. As is typical of any observational epidemiologic study, the constituent studies could not correct for all possible confounds because some were not measured, and some are unknown. For this reason, these meta-analyses may have documented confounded associations, which calls for cautious interpretations. None of the constituent studies assessed what might be the most important type of confounding, familial, and genetic confounding, which occurs when the environmental exposure being studied is correlated with the genetic risk of the disorder being studied or other familial risk factors. Addressing familial/genetic confounding requires a genetically informed study. Because of these issues, the results presented here are intriguing but require further examination before one can conclude that the reported associations correspond to causal events for ADHD. A pathway forward is suggested by drawing parallels between genomic and exposure research.
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Affiliation(s)
- Stephen V Faraone
- Department of Psychiatry and Behavioral Sciences, Norton College of Medicine, SUNY Upstate Medical University, 750 East Adams St., Syracuse, NY, 13210, USA.
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Karthikeyan BS, Hyötyläinen T, Ghaffarzadegan T, Triplett E, Orešič M, Ludvigsson J. Prenatal exposure to environmental contaminants and cord serum metabolite profiles in future immune-mediated diseases. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00680-z. [PMID: 38678133 DOI: 10.1038/s41370-024-00680-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Prenatal exposure to environmental contaminants is a significant health concern because it has the potential to interfere with host metabolism, leading to adverse health effects in early childhood and later in life. Growing evidence suggests that genetic and environmental factors, as well as their interactions, play a significant role in the development of autoimmune diseases. OBJECTIVE In this study, we hypothesized that prenatal exposure to environmental contaminants impacts cord serum metabolome and contributes to the development of autoimmune diseases. METHODS We selected cord serum samples from All Babies in Southeast Sweden (ABIS) general population cohort, from infants who later developed one or more autoimmune-mediated and inflammatory diseases: celiac disease (CD), Crohn's disease (IBD), hypothyroidism (HT), juvenile idiopathic arthritis (JIA), and type 1 diabetes (T1D) (all cases, N = 62), along with matched controls (N = 268). Using integrated exposomics and metabolomics mass spectrometry (MS) based platforms, we determined the levels of environmental contaminants and metabolites. RESULTS Differences in exposure levels were found between the controls and those who later developed various diseases. High contaminant exposure levels were associated with changes in metabolome, including amino acids and free fatty acids. Specifically, we identified marked associations between metabolite profiles and exposure levels of deoxynivalenol (DON), bisphenol S (BPS), and specific per- and polyfluorinated substances (PFAS). IMPACT STATEMENT Abnormal metabolism is a common feature preceding several autoimmune and inflammatory diseases. However, few studies compared common and specific metabolic patterns preceding these diseases. Here we hypothesized that exposure to environmental contaminants impacts cord serum metabolome, which may contribute to the development of autoimmune diseases. We found differences in exposure levels between the controls and those who later developed various diseases, and importantly, on the metabolic changes associated with the exposures. High contaminant exposure levels were associated with specific changes in metabolome. Our study suggests that prenatal exposure to specific environmental contaminants alters the cord serum metabolomes, which, in turn, might increase the risk of various immune-mediated diseases.
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Affiliation(s)
- Bagavathy Shanmugam Karthikeyan
- School of Science and Technology, Örebro University, SE-702 81, Örebro, Sweden
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-702 81, Örebro, Sweden
| | - Tuulia Hyötyläinen
- School of Science and Technology, Örebro University, SE-702 81, Örebro, Sweden
| | | | - Eric Triplett
- Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences University of Florida, Gainesville, 32611-0700, FL, USA
| | - Matej Orešič
- School of Medical Sciences, Faculty of Medicine and Health, Örebro University, SE-702 81, Örebro, Sweden.
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, FI-20520, Finland.
| | - Johnny Ludvigsson
- Crown Princess Victoria's Children's Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, SE-581 85, Sweden
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Scher MS, Agarwal S, Venkatesen C. Clinical decisions in fetal-neonatal neurology I. reproductive and pregnancy health influence the neural exposome over multiple generations. Semin Fetal Neonatal Med 2024:101521. [PMID: 38658296 DOI: 10.1016/j.siny.2024.101521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Interdisciplinary fetal neonatal neurology (FNN) training requires integration of reproductive health factors into evaluations of the maternal-placental-fetal (MPF) triad, neonate, and child over the first 1000 days. Serial events that occur before one or multiple pregnancies impact successive generations. A maternal-child dyad history highlights this continuity of health risk, beginning with a maternal grandmother's pregnancy. Her daughter was born preterm and later experienced polycystic ovarian syndrome further complicated by cognitive and mental health disorders. Medical problems during her pregnancy contributed to MPF triad diseases that resulted in her son's extreme prematurity. Postpartum maternal death from the complications of diabetic ketoacidosis and her child's severe global neurodevelopmental delay were adverse mother-child outcomes. A horizontal/vertical diagnostic approach to reach shared clinical decisions during FNN training requires perspectives of a dynamic neural exposome. Career-long learning is then strengthened by continued interactions from al stakeholders. Developmental origins theory applied to neuroplasticity principles help interpret phenotypic expressions as dynamic gene-environment interactions across a person's lifetime. Debiasing strategies applied to the cognitive process reduce bias to preserve therapeutic and prognostic accuracy. Social determinants of health are essential components of this strategy to be initiated during FNN training. Reduction of the global burden of neurologic disorders requires applying the positive effects from reproductive and pregnancy exposomes that will benefit the neural exposome across the lifespan.
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Affiliation(s)
- Mark S Scher
- Rainbow Babies and Children's Hospital Case Western Reserve University School of Medicine, USA.
| | - Sonika Agarwal
- Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, USA.
| | - Charu Venkatesen
- Cincinnati Children's Hospital, Cincinnati School of Medicine, USA.
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VoPham T, White AJ, Jones RR. Geospatial Science for the Environmental Epidemiology of Cancer in the Exposome Era. Cancer Epidemiol Biomarkers Prev 2024; 33:451-460. [PMID: 38566558 PMCID: PMC10996842 DOI: 10.1158/1055-9965.epi-23-1237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/11/2023] [Accepted: 01/29/2024] [Indexed: 04/04/2024] Open
Abstract
Geospatial science is the science of location or place that harnesses geospatial tools, such as geographic information systems (GIS), to understand the features of the environment according to their locations. Geospatial science has been transformative for cancer epidemiologic studies through enabling large-scale environmental exposure assessments. As the research paradigm for the exposome, or the totality of environmental exposures across the life course, continues to evolve, geospatial science will serve a critical role in determining optimal practices for how to measure the environment as part of the external exposome. The objectives of this article are to provide a summary of key concepts, present a conceptual framework that illustrates how geospatial science is applied to environmental epidemiology in practice and through the lens of the exposome, and discuss the following opportunities for advancing geospatial science in cancer epidemiologic research: enhancing spatial and temporal resolutions and extents for geospatial data; geospatial methodologies to measure climate change factors; approaches facilitating the use of patient addresses in epidemiologic studies; combining internal exposome data and geospatial exposure models of the external exposome to provide insights into biological pathways for environment-disease relationships; and incorporation of geospatial data into personalized cancer screening policies and clinical decision making.
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Affiliation(s)
- Trang VoPham
- Epidemiology Program, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology, University of Washington, Seattle, Washington
| | - Alexandra J. White
- Epidemiology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Rena R. Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, Maryland
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Whaibeh E, Mrad-Nakhlé M, Aouad N, Annesi-Maesano I, Abbas N, Chaiban C, Abi Hanna J, Abi Tayeh G. The Environmental Exposures in Lebanese Infants (EELI) birth cohort: an investigation into the Developmental Origins of Health and Diseases (DOHaD). INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:1675-1686. [PMID: 37429297 DOI: 10.1080/09603123.2023.2234834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/06/2023] [Indexed: 07/12/2023]
Abstract
The EELI Study is a longitudinal birth cohort launched in 2021 in Lebanon to examine the long-term impact of environmental exposures on the health of prospective Lebanese mothers and infants and disease outcomes. This article delineates the adopted study design and protocols, current progress, and contextual considerations for the planning and launching of a birth cohort in a resource-limited setting. A sample of n = 135 pregnant women expecting to give birth at the Hôtel-Dieu de France University Hospital has been recruited since the study launch. Over 500 variables have been recorded for each participant, and over 1000 biological specimens have been processed and stored in a biobank for further analysis. The EELI study establishes methodological and logistic basis to explore the concept of the exposome and its implementation and to establish a toolkit of the SOPs and questionnaires that can be employed by the other countries in the Eastern Mediterranean region.
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Affiliation(s)
- Emile Whaibeh
- Doctoral School of Health and Sciences (EDSS), Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon
- Public Health Department, Faculty of Health Sciences, University of Balamand, Beirut, Lebanon
| | - Myriam Mrad-Nakhlé
- Public Health Department, Faculty of Health Sciences, University of Balamand, Beirut, Lebanon
| | - Norma Aouad
- Obstetrics and Reproduction, Hôtel-Dieu de France University Hospital, Beirut, Lebanon
| | - Isabella Annesi-Maesano
- Institute Desbrest of Epidemiology and Public Health, University of Montpellier and INSERM, Montpellier, France
| | - Nivine Abbas
- Public Health Department, Faculty of Health Sciences, University of Balamand, Beirut, Lebanon
| | - Clara Chaiban
- Public Health Department, Faculty of Health Sciences, University of Balamand, Beirut, Lebanon
| | - Jowy Abi Hanna
- Public Health Department, Faculty of Health Sciences, University of Balamand, Beirut, Lebanon
| | - Georges Abi Tayeh
- Doctoral School of Health and Sciences (EDSS), Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon
- Obstetrics and Reproduction, Hôtel-Dieu de France University Hospital, Beirut, Lebanon
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8
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Khan R, Di Gesù CM, Lee J, McCullough LD. The contribution of age-related changes in the gut-brain axis to neurological disorders. Gut Microbes 2024; 16:2302801. [PMID: 38237031 PMCID: PMC10798364 DOI: 10.1080/19490976.2024.2302801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 01/04/2024] [Indexed: 01/22/2024] Open
Abstract
Trillions of microbes live symbiotically in the host, specifically in mucosal tissues such as the gut. Recent advances in metagenomics and metabolomics have revealed that the gut microbiota plays a critical role in the regulation of host immunity and metabolism, communicating through bidirectional interactions in the microbiota-gut-brain axis (MGBA). The gut microbiota regulates both gut and systemic immunity and contributes to the neurodevelopment and behaviors of the host. With aging, the composition of the microbiota changes, and emerging studies have linked these shifts in microbial populations to age-related neurological diseases (NDs). Preclinical studies have demonstrated that gut microbiota-targeted therapies can improve behavioral outcomes in the host by modulating microbial, metabolomic, and immunological profiles. In this review, we discuss the pathways of brain-to-gut or gut-to-brain signaling and summarize the role of gut microbiota and microbial metabolites across the lifespan and in disease. We highlight recent studies investigating 1) microbial changes with aging; 2) how aging of the maternal microbiome can affect offspring health; and 3) the contribution of the microbiome to both chronic age-related diseases (e.g., Parkinson's disease, Alzheimer's disease and cerebral amyloidosis), and acute brain injury, including ischemic stroke and traumatic brain injury.
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Affiliation(s)
- Romeesa Khan
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
| | - Claudia M. Di Gesù
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Juneyoung Lee
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Louise D. McCullough
- Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA
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Persson Waye K, Löve J, Lercher P, Dzhambov AM, Klatte M, Schreckenberg D, Belke C, Leist L, Ristovska G, Jeram S, Kanninen KM, Selander J, Arat A, Lachmann T, Clark C, Botteldooren D, White K, Julvez J, Foraster M, Kaprio J, Bolte G, Psyllidis A, Gulliver J, Boshuizen H, Bozzon A, Fels J, Hornikx M, van den Hazel P, Weber M, Brambilla M, Braat-Eggen E, Van Kamp I, Vincens N. Adopting a child perspective for exposome research on mental health and cognitive development - Conceptualisation and opportunities. ENVIRONMENTAL RESEARCH 2023; 239:117279. [PMID: 37778607 DOI: 10.1016/j.envres.2023.117279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/03/2023]
Abstract
Mental disorders among children and adolescents pose a significant global challenge. The exposome framework covering the totality of internal, social and physical exposures over a lifetime provides opportunities to better understand the causes of and processes related to mental health, and cognitive functioning. The paper presents a conceptual framework on exposome, mental health, and cognitive development in children and adolescents, with potential mediating pathways, providing a possibility for interventions along the life course. The paper underscores the significance of adopting a child perspective to the exposome, acknowledging children's specific vulnerability, including differential exposures, susceptibility of effects and capacity to respond; their susceptibility during development and growth, highlighting neurodevelopmental processes from conception to young adulthood that are highly sensitive to external exposures. Further, critical periods when exposures may have significant effects on a child's development and future health are addressed. The paper stresses that children's behaviour, physiology, activity pattern and place for activities make them differently vulnerable to environmental pollutants, and calls for child-specific assessment methods, currently lacking within today's health frameworks. The importance of understanding the interplay between structure and agency is emphasized, where agency is guided by social structures and practices and vice-versa. An intersectional approach that acknowledges the interplay of social and physical exposures as well as a global and rural perspective on exposome is further pointed out. To advance the exposome field, interdisciplinary efforts that involve multiple scientific disciplines are crucial. By adopting a child perspective and incorporating an exposome approach, we can gain a comprehensive understanding of how exposures impact children's mental health and cognitive development leading to better outcomes.
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Affiliation(s)
- Kerstin Persson Waye
- School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Jesper Löve
- School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Peter Lercher
- Institute of Highway Engineering and Transport Planning, Graz University of Technology, Graz, Austria
| | - Angel M Dzhambov
- Institute of Highway Engineering and Transport Planning, Graz University of Technology, Graz, Austria; Department of Hygiene, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria; Research Group "Health and Quality of Life in a Green and Sustainable Environment", SRIPD, Medical University of Plovdiv, Plovdiv, Bulgaria; Environmental Health Division, Research Institute at Medical University of Plovdiv, Medical University of Plovdiv, Bulgaria
| | - Maria Klatte
- Cognitive and Developmental Psychology, University of Kaiserslautern-Landau, Kaiserslautern, Germany
| | - Dirk Schreckenberg
- Centre for Applied Psychology, Environmental and Social Research (Zeus GmbH), Hagen, Germany
| | - Christin Belke
- Centre for Applied Psychology, Environmental and Social Research (Zeus GmbH), Hagen, Germany
| | - Larisa Leist
- Cognitive and Developmental Psychology, University of Kaiserslautern-Landau, Kaiserslautern, Germany
| | - Gordana Ristovska
- Institute of Public Health of the Republic of North Macedonia, Skopje, Macedonia
| | - Sonja Jeram
- National Institute of Public Health, Ljubljana, Slovenia
| | - Katja M Kanninen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jenny Selander
- Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Arzu Arat
- Unit of Occupational Medicine, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Thomas Lachmann
- Cognitive and Developmental Psychology, University of Kaiserslautern-Landau, Kaiserslautern, Germany; Centro de Investigación Nebrija en Cognición (CINC), Universidad Nebrija, Madrid, Spain
| | - Charlotte Clark
- Population Health Research Institute, St George's, University of London, London, United Kingdom
| | - Dick Botteldooren
- Department of Information Technology, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium
| | - Kim White
- National Institute for Public Health and the Environment, Netherlands
| | - Jordi Julvez
- Institut D'Investigació Sanitària Pere Virgili (IISPV), Clinical and Epidemiological Neuroscience Group (NeuroÈpia), Reus, Spain
| | | | - Jaakko Kaprio
- Institute for Molecular Medicine Finland and Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Gabriele Bolte
- Institute of Public Health and Nursing Research, University of Bremen, Bremen, Germany
| | - Achilleas Psyllidis
- Department of Sustainable Design Engineering, Delft University of Technology, Delft, the Netherlands
| | - John Gulliver
- Population Health Research Institute, St George's, University of London, London, United Kingdom; Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Hendriek Boshuizen
- Department for Statistics, Datascience and Mathematical Modelling, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Alessandro Bozzon
- Department of Sustainable Design Engineering, Delft University of Technology, Delft, the Netherlands
| | - Janina Fels
- Institute for Hearing Technology and Acoustics, RWTH Aachen University, Aachen, Germany
| | - Maarten Hornikx
- Department of the Built Environment, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - Peter van den Hazel
- International Network on Children's Health, Environment and Safety, Ellecom, the Netherlands
| | | | - Marco Brambilla
- Data Science Laboratory, Politecnico di Milano, Milan, Italy
| | | | - Irene Van Kamp
- National Institute for Public Health and the Environment, Netherlands
| | - Natalia Vincens
- School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
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10
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Stingone JA, Geller AM, Hood DB, Makris KC, Mouton CP, States JC, Sumner SJ, Wu KL, Rajasekar AK. Community-level exposomics: a population-centered approach to address public health concerns. EXPOSOME 2023; 3:osad009. [PMID: 38550543 PMCID: PMC10976977 DOI: 10.1093/exposome/osad009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2024]
Abstract
Environmental factors affecting health and vulnerability far outweigh genetics in accounting for disparities in health status and longevity in US communities. The concept of the exposome, the totality of exposure from conception onwards, provides a paradigm for researchers to investigate the complex role of the environment on the health of individuals. We propose a complementary framework, community-level exposomics, for population-level exposome assessment. The goal is to bring the exposome paradigm to research and practice on the health of populations, defined by various axes including geographic, social, and occupational. This framework includes the integration of community-level measures of the built, natural and social environments, environmental pollution-derived from conventional and community science approaches, internal markers of exposure that can be measured at the population-level and early responses associated with health status that can be tracked using population-based monitoring. Primary challenges to the implementation of the proposed framework include needed advancements in population-level measurement, lack of existing models with the capability to produce interpretable and actionable evidence and the ethical considerations of labeling geographically-bound populations by exposomic profiles. To address these challenges, we propose a set of recommendations that begin with greater engagement with and empowerment of affected communities and targeted investment in community-based solutions. Applications to urban settings and disaster epidemiology are discussed as examples for implementation.
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Affiliation(s)
- Jeanette A. Stingone
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Andrew M. Geller
- Office of Research and Development, Environmental Protection Agency, RTP, NC, USA
| | - Darryl B. Hood
- Division of Environmental Health Sciences, The Ohio State University, Columbus, OH, USA
| | - Konstantinos C. Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Charles P. Mouton
- Department of Family Medicine, University of Texas Medical Branch Galveston, TX, USA
| | - J. Christopher States
- Center for Integrative Environmental Health Sciences, Department of Pharmacology and Toxicology University of Louisville School of Medicine, Louisville, KY, USA
| | - Susan J. Sumner
- Department of Nutrition, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - K. Lily Wu
- California Environmental Protection Agency—Office of Environmental Health Hazard Assessment, Sacramento, CA, USA
| | - Arcot K Rajasekar
- School of Information and Library Science, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
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Roach KA, Kodali V, Shoeb M, Meighan T, Kashon M, Stone S, McKinney W, Erdely A, Zeidler-Erdely PC, Roberts JR, Antonini JM. Examination of the exposome in an animal model: The impact of high fat diet and rat strain on local and systemic immune markers following occupational welding fume exposure. Toxicol Appl Pharmacol 2023; 464:116436. [PMID: 36813138 DOI: 10.1016/j.taap.2023.116436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/12/2023] [Accepted: 02/18/2023] [Indexed: 02/23/2023]
Abstract
The goal of this study was to investigate the impact of multiple exposomal factors (genetics, lifestyle factors, environmental/occupational exposures) on pulmonary inflammation and corresponding alterations in local/systemic immune parameters. Accordingly, male Sprague-Dawley (SD) and Brown Norway (BN) rats were maintained on either regular (Reg) or high fat (HF) diets for 24wk. Welding fume (WF) exposure (inhalation) occurred between 7 and 12wk. Rats were euthanized at 7, 12, and 24wk to evaluate local and systemic immune markers corresponding to the baseline, exposure, and recovery phases of the study, respectively. At 7wk, HF-fed animals exhibited several immune alterations (blood leukocyte/neutrophil number, lymph node B-cell proportionality)-effects which were more pronounced in SD rats. Indices of lung injury/inflammation were elevated in all WF-exposed animals at 12wk; however, diet appeared to preferentially impact SD rats at this time point, as several inflammatory markers (lymph node cellularity, lung neutrophils) were further elevated in HF over Reg animals. Overall, SD rats exhibited the greatest capacity for recovery by 24wk. In BN rats, resolution of immune alterations was further compromised by HF diet, as many exposure-induced alterations in local/systemic immune markers were still evident in HF/WF animals at 24wk. Collectively, HF diet appeared to have a greater impact on global immune status and exposure-induced lung injury in SD rats, but a more pronounced effect on inflammation resolution in BN rats. These results illustrate the combined impact of genetic, lifestyle, and environmental factors in modulating immunological responsivity and emphasize the importance of the exposome in shaping biological responses.
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Affiliation(s)
- K A Roach
- Allergy and Clinical Immunology Branch (ACIB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA.
| | - V Kodali
- Pathology and Physiology Research Branch (PPRB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - M Shoeb
- Pathology and Physiology Research Branch (PPRB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - T Meighan
- Pathology and Physiology Research Branch (PPRB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - M Kashon
- Bioanalytics Branch (BB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - S Stone
- Physical Effects Research Branch (PERB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - W McKinney
- Physical Effects Research Branch (PERB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - A Erdely
- Pathology and Physiology Research Branch (PPRB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - P C Zeidler-Erdely
- Pathology and Physiology Research Branch (PPRB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - J R Roberts
- Allergy and Clinical Immunology Branch (ACIB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
| | - J M Antonini
- Pathology and Physiology Research Branch (PPRB), National Institute of Occupational Safety and Health (NIOSH), Morgantown, WV, USA
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Tu B, Patel R, Pitalua M, Khan H, Gittner LS. Building effective intervention models utilizing big data to prevent the obesity epidemic. Obes Res Clin Pract 2023; 17:108-115. [PMID: 36870867 DOI: 10.1016/j.orcp.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 02/20/2023] [Accepted: 02/23/2023] [Indexed: 03/06/2023]
Abstract
INTRODUCTION The exposome consists of factors an individual is exposed to across the life course. The exposome is dynamic, meaning the factors are constantly changing, affecting each other and individuals in different ways. Our exposome dataset includes social determinants of health as well as policy, climate, environment, and economic factors that could impact obesity development. The objective was to translate spatial exposure to these factors with the presence of obesity into actionable population-based constructs that could be further explored. METHODS Our dataset was constructed from a combination of public-use datasets and the Center of Disease Control's Compressed Mortality File. Spatial Statistics using Queens First Order Analysis was performed to identify hot- and cold-spots of obesity prevalence; followed by Graph Analysis, Relational Analysis, and Exploratory Factor Analysis to model the multifactorial spatial connections. RESULTS Areas of high and low presence of obesity had different factors associated with obesity. Factors associated with obesity in areas of high obesity propensity were: poverty / unemployment; workload, comorbid conditions (diabetes, CVD) and physical activity. Conversely, factors associated in areas where obesity was rare were: smoking, lower education, poorer mental health, lower elevations, and heat. DISCUSSION The spatial methods described within the paper are scalable to large numbers of variables without issues of multiple comparisons lowering resolution. These types of spatial structural methods provide insights into novel variable associations or factor interactions that can then be studied further at the population or policy levels.
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Affiliation(s)
- Brittany Tu
- School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
| | - Radha Patel
- School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Mario Pitalua
- Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Hafiz Khan
- Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA
| | - Lisaann S Gittner
- Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX, USA
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13
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Wright RJ. Advancing Exposomic Research in Prenatal Respiratory Disease Programming. Immunol Allergy Clin North Am 2023; 43:43-52. [PMID: 36411007 DOI: 10.1016/j.iac.2022.07.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Disease programming reflects interactions between genes and the environment. Unlike the genome, environmental exposures and our response to exposures change over time. Starting in utero, the respiratory system and related processes develop sequentially in a carefully timed cascade, thus effects depend on both exposure dose and timing. A multitude of environmental and microbial exposures influence respiratory disease programming. Effects result from toxin-induced shifts in a host of molecular, cellular, and physiologic states and their interacting systems. Moreover, pregnant women and the developing child are not exposed to a single toxin, but to complex mixtures.
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Affiliation(s)
- Rosalind J Wright
- Department of Environmental Medicine and Public Health, New York, NY, USA; Institute for Exposomic Research, New York, NY, USA.
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14
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Exposome approach for identifying modifiable factors for the prevention of colorectal cancer. Sci Rep 2022; 12:21615. [PMID: 36517625 PMCID: PMC9750985 DOI: 10.1038/s41598-022-25832-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022] Open
Abstract
Previous studies have shown certain exposure factors (such as lifestyle and metabolism) are associated with colorectal cancer (CRC) events. However, the application of the exposome theoretical frame and the extent to which the exposome domain can modulate the risk of CRC remain unknown. Our study aimed to construct valid exposome measurements and examine the relationship between exposome counts and the risk of CRC. This study included 335,370 individuals in the UK Biobank. We used exploratory factor analysis to identify a valid construct of exposome factors. We then summed the exposome counts within each domain. Cox proportional hazard models were used to estimate the hazard ratios and 95% confidence intervals of CRC risk related to the exposome factors and counts. During an 8.69 year median follow-up, 10,702 CRC cases were identified. Five domains were extracted from 12 variables, including ecosystem, lifestyle, tobacco and alcohol use, social economics, and social support. The Cox model results showed that the ecosystem was positively related to the reduced CRC risk (HR = 0.970; 95% CI 0.952-0.989). Similar results were also found among the domains of healthy lifestyles (HR = 0. 889; 95% CI 0.871-0.907), and no tobacco and alcohol use (HR = 0.892; 95% CI 0.876-0.909). The disadvantageous social economic (HR = 1.081; 95% CI 1.058-1.105) and insufficient social support domains (HR = 1.036; 95% CI 1.017-1.056) were associated with an increased risk of CRC. Similar risk trends were also observed across the exposome count groups with CRC incidence. Our findings suggest that certain exposure domains are related to the incidence of CRC. Ecosystem, lifestyle, and social factors can be incorporated into prediction models to identify individuals at high risk of CRC.
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15
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Wei X, Huang Z, Jiang L, Li Y, Zhang X, Leng Y, Jiang C. Charting the landscape of the environmental exposome. IMETA 2022; 1:e50. [PMID: 38867899 PMCID: PMC10989948 DOI: 10.1002/imt2.50] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/13/2022] [Accepted: 07/30/2022] [Indexed: 06/14/2024]
Abstract
The exposome depicts the total exposures in the lifetime of an organism. Human exposome comprises exposures from environmental and humanistic sources. Biological, chemical, and physical environmental exposures pose potential health threats, especially to susceptible populations. Although still in its nascent stage, we are beginning to recognize the vast and dynamic nature of the exposome. In this review, we systematically summarize the biological and chemical environmental exposomes in three broad environmental matrices-air, soil, and water; each contains several distinct subcategories, along with a brief introduction to the physical exposome. Disease-related environmental exposures are highlighted, and humans are also a major source of disease-related biological exposures. We further discuss the interactions between biological, chemical, and physical exposomes. Finally, we propose a list of outstanding challenges under the exposome research framework that need to be addressed to move the field forward. Taken together, we present a detailed landscape of environmental exposome to prime researchers to join this exciting new field.
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Affiliation(s)
- Xin Wei
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Zinuo Huang
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Liuyiqi Jiang
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Yueer Li
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
| | - Xinyue Zhang
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Yuxin Leng
- Department of Intensive Care UnitPeking University Third HospitalBeijingChina
| | - Chao Jiang
- Zhejiang Provincial Key Laboratory of Cancer Molecular Cell Biology, Life Sciences InstituteZhejiang UniversityHangzhouZhejiangChina
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, First Affiliated HospitalZhejiang University School of MedicineHangzhouZhejiangChina
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16
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Rinaldi A, Martins MCM, Maioli M, Rinaldi S, Fontani V. REAC Noninvasive Neurobiological Stimulation in Autism Spectrum Disorder for Alleviating Stress Impact. ADVANCES IN NEURODEVELOPMENTAL DISORDERS 2022; 7:244-251. [PMID: 36213521 PMCID: PMC9525921 DOI: 10.1007/s41252-022-00293-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/23/2022] [Indexed: 05/05/2023]
Abstract
Objectives Autism spectrum disorder (ASD) symptoms can become more evident because of different factors. Among these, depression, anxiety, and stress play an important role. Additionally, several studies have revealed the impact of the COVID-19 pandemic on participants with ASD. In previous studies, two noninvasive neurobiological stimulation treatments with radio electric asymmetric conveyer (REAC) technology, called neuropostural optimization (NPO) and neuropsychophysical optimization (NPPO), were shown to be effective in improving the subjective response to environmental stressors in the general population and in ASD population. Based on the proven efficacy of REAC NPO and NPPOs treatments in alleviating anxiety, stress, and depression, the purpose of this study is to verify how these treatments can reduce the severity of ASD symptoms expression, which is aggravated by depression, anxiety, and stress. The treatments' effects were perceived by caregivers and assessed by the Autism Treatment Evaluation Checklist (ATEC). Methods This study involved 46 children with a previous diagnosis of ASD made using the Autism Diagnostic Observation Schedule and Autism Diagnostic Interview-Revised. The participants received one session of NPO treatment and one NPPOs treatment cycle of 18 sessions, administered within approximately 3 weeks. The Autism Treatment Evaluation Checklist (ATEC) was used to evaluate the efficacy of the REAC treatments. ATEC allows to evaluate four clusters (speech or language communication; sociability; sensory or cognitive awareness; and health/physical/behavior) through a numerical scale that measures increasing levels of ASD severity. Results The comparison between the scores of the ATEC administered pre- and post-REAC treatments highlighted an improvement of ASD symptoms in each of the four clusters of ATEC. Conclusions The results confirm the usefulness of REAC treatments to optimize the individual response to environmental stressors and reduce the symptomatic expression and deficits present in ASD.
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Affiliation(s)
- Arianna Rinaldi
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, Florence, Italy
| | - Márcia C. Marins Martins
- International Scientific Society of Neuro Psycho Physical Optimization With REAC Technology, Brazilian Branch, São Paulo, Brazil
| | - Margherita Maioli
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Salvatore Rinaldi
- Department of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, Florence, Italy
- Research Department, Rinaldi Fontani Foundation, Florence, Italy
| | - Vania Fontani
- Department of Adaptive Neuro Psycho Physio Pathology and Neuro Psycho Physical Optimization, Rinaldi Fontani Institute, Florence, Italy
- Research Department, Rinaldi Fontani Foundation, Florence, Italy
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Martins C, Assunção R, Costa A, Serrano D, Visintin L, De Boevre M, Lachat C, Vidal A, De Saeger S, Namorado S, Vidigal C, Almeida E, Alvito P, Nunes C. earlyMYCO: A Pilot Mother-Child Cohort Study to Assess Early-Life Exposure to Mycotoxins—Challenges and Lessons Learned. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19137716. [PMID: 35805375 PMCID: PMC9265400 DOI: 10.3390/ijerph19137716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/15/2022] [Accepted: 06/20/2022] [Indexed: 11/16/2022]
Abstract
Early-life exposure occurs during gestation through transfer to the fetus and later, during lactation. Recent monitoring data revealed that the Portuguese population is exposed to mycotoxins, including young children. This study aimed to develop a pilot study to assess the early-life exposure to mycotoxins through a mother–child cohort, and to identify the associated challenges. Participants were recruited during pregnancy (1st trimester) and followed-up in three moments of observation: 2nd trimester of pregnancy (mother), and 1st and 6th month of the child’s life (mother and child), with the collection of biological samples and sociodemographic and food consumption data. The earlyMYCO pilot study enrolled 19 mother–child pairs. The analysis of biological samples from participants revealed the presence of 4 out of 15 and 5 out of 18 mycotoxins’ biomarkers of exposure in urine and breast milk samples, respectively. The main aspects identified as contributors for the successful development of the cohort were the multidisciplinary and dedicated team members in healthcare units, reduced burden of participation, and the availability of healthcare units for the implementation of the fieldwork. Challenges faced, lessons learned, and suggestions were discussed as a contribution for the development of further studies in this area.
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Affiliation(s)
- Carla Martins
- National Institute of Health Dr Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisbon, Portugal; (R.A.); (S.N.); (P.A.)
- Centre for Environmental and Marine Studies, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (A.C.); (D.S.)
- Public Health Research Centre, NOVA National School of Public Health, Universidade NOVA de Lisboa, Avenida Padre Cruz, 1600-560 Lisbon, Portugal;
- Comprehensive Health Research Center, Campo Mártires da Pátria, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
- Correspondence:
| | - Ricardo Assunção
- National Institute of Health Dr Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisbon, Portugal; (R.A.); (S.N.); (P.A.)
- Centre for Environmental and Marine Studies, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (A.C.); (D.S.)
- Comprehensive Health Research Center, Campo Mártires da Pátria, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
- Instituto Universitário Egas Moniz (IUEM), Egas Moniz-Cooperativa de Ensino Superior, CRL, 2829-511 Caparica, Portugal
| | - Ana Costa
- Centre for Environmental and Marine Studies, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (A.C.); (D.S.)
| | - Débora Serrano
- Centre for Environmental and Marine Studies, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (A.C.); (D.S.)
| | - Lia Visintin
- Centre of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium; (L.V.); (M.D.B.); (C.L.); (A.V.); (S.D.S.)
| | - Marthe De Boevre
- Centre of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium; (L.V.); (M.D.B.); (C.L.); (A.V.); (S.D.S.)
| | - Carl Lachat
- Centre of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium; (L.V.); (M.D.B.); (C.L.); (A.V.); (S.D.S.)
| | - Arnau Vidal
- Centre of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium; (L.V.); (M.D.B.); (C.L.); (A.V.); (S.D.S.)
| | - Sarah De Saeger
- Centre of Excellence in Mycotoxicology and Public Health, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, B-9000 Ghent, Belgium; (L.V.); (M.D.B.); (C.L.); (A.V.); (S.D.S.)
| | - Sónia Namorado
- National Institute of Health Dr Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisbon, Portugal; (R.A.); (S.N.); (P.A.)
- Centre for Environmental and Marine Studies, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (A.C.); (D.S.)
| | - Cristina Vidigal
- ACES Lisboa Central, Regional Health Administration of Lisbon and Tagus Valley (ARSLVT), 1700-179 Lisbon, Portugal; (C.V.); (E.A.)
| | - Elisabete Almeida
- ACES Lisboa Central, Regional Health Administration of Lisbon and Tagus Valley (ARSLVT), 1700-179 Lisbon, Portugal; (C.V.); (E.A.)
| | - Paula Alvito
- National Institute of Health Dr Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisbon, Portugal; (R.A.); (S.N.); (P.A.)
- Centre for Environmental and Marine Studies, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (A.C.); (D.S.)
| | - Carla Nunes
- Public Health Research Centre, NOVA National School of Public Health, Universidade NOVA de Lisboa, Avenida Padre Cruz, 1600-560 Lisbon, Portugal;
- Comprehensive Health Research Center, Campo Mártires da Pátria, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
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Canali S, Leonelli S. Reframing the environment in data-intensive health sciences. STUDIES IN HISTORY AND PHILOSOPHY OF SCIENCE 2022; 93:203-214. [PMID: 35576883 DOI: 10.1016/j.shpsa.2022.04.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 02/25/2022] [Accepted: 04/20/2022] [Indexed: 06/15/2023]
Abstract
In this paper, we analyse the relation between the use of environmental data in contemporary health sciences and related conceptualisations and operationalisations of the notion of environment. We consider three case studies that exemplify a different selection of environmental data and mode of data integration in data-intensive epidemiology. We argue that the diversification of data sources, their increase in scale and scope, and the application of novel analytic tools have brought about three significant conceptual shifts. First, we discuss the EXPOsOMICS project, an attempt to integrate genomic and environmental data which suggests a reframing of the boundaries between external and internal environments. Second, we explore the MEDMI platform, whose efforts to combine health, environmental and climate data instantiate a reframing and expansion of environmental exposure. Third, we illustrate how extracting epidemiological insights from extensive social data collected by the CIDACS institute yields innovative attributions of causal power to environmental factors. Identifying these shifts highlights the benefits and opportunities of new environmental data, as well as the challenges that such tools bring to understanding and fostering health. It also emphasises the constraints that data selection and accessibility pose to scientific imagination, including how researchers frame key concepts in health-related research.
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Affiliation(s)
- Stefano Canali
- Department of Electronics, Information and Bioengineering and META - Social Sciences and Humanities for Science and Technology, Politecnico di Milano, Milan, Italy.
| | - Sabina Leonelli
- Department of Sociology, Philosophy and Anthropology and Exeter Centre for the Study of the Life Sciences (Egenis), University of Exeter, Exeter, UK.
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The influence of the dietary exposome on oxidative stress in pregnancy complications. Mol Aspects Med 2022; 87:101098. [DOI: 10.1016/j.mam.2022.101098] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/23/2022] [Accepted: 03/25/2022] [Indexed: 12/16/2022]
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20
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Novel data archival system for multi-omics data of human exposure to harmful substances. Mol Cell Toxicol 2022. [DOI: 10.1007/s13273-022-00226-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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21
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Exposome and Social Vulnerability: An Overview of the Literature Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063534. [PMID: 35329217 PMCID: PMC8955941 DOI: 10.3390/ijerph19063534] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/25/2022] [Accepted: 02/27/2022] [Indexed: 02/01/2023]
Abstract
Background—The exposome concept refers to the totality of exposures from internal and external sources, including chemical and biological agents from conception throughout the lifetime. Exposome is also made up of psychosocial components such as socio-economic status (SES), which will focus on in this review. Despite exposures to the same environmental nuisances, individuals and groups are impacted differently. According to the literature, health inequalities exist among different socioeconomic groups, and SES may influence the association between environmental nuisances and health outcomes. However, the variation of this interaction across ages has rarely been studied. There is a need to adopt a life course approach to understand the history of diseases better. Objective—The main objective of this review is to document how SES could modify the association between environmental nuisances and health outcomes, across different ages, as a first crucial step introducing the emerged concept of social exposome. Methods—The PubMed database was searched from January 2010 to August 2021 for systematic reviews published in English addressing the interaction between SES, environmental nuisances, and health outcomes. Socio-economic indicators considered include education, level of income, neighborhood environment. Environmental nuisances considered many environment nuisances, mainly air pollution and noise. Results—Among 242 literature reviews identified, 11 of them address the question of the effect modification. Overall, our work reveals that environmental nuisances were mostly associated with poorer health outcomes and that SES modified this association, increasing the health risk among the poorest. Very interestingly, our work reports the existence of this interaction across different ages, including pregnancy, childhood, and adulthood, and for various environmental nuisances. Conclusion—In conclusion, our work confirms that we are not all equal to face environmental nuisances. The poorest are more vulnerable to the health effect of environmental nuisances. Policy decisions and interventions should target this high-risk population as a priority. Further investigations are needed to formalize the concept of social exposome more precisely and then communicate about it.
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22
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Velarde MC, Chan AFO, Sajo MEJV, Zakharevich I, Melamed J, Uy GLB, Teves JMY, Corachea AJM, Valparaiso AP, Macalindong SS, Cabaluna ND, Dofitas RB, Giudice LC, Gerona RR. Elevated levels of perfluoroalkyl substances in breast cancer patients within the Greater Manila Area. CHEMOSPHERE 2022; 286:131545. [PMID: 34293563 DOI: 10.1016/j.chemosphere.2021.131545] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/06/2021] [Accepted: 07/10/2021] [Indexed: 06/13/2023]
Abstract
Several studies have reported exposure of humans to various endocrine disrupting chemicals (EDCs) worldwide. However, there is a lack of data regarding EDC exposures in humans living in Southeast Asian countries, such as the Philippines. Hence, this study measured levels of 41 EDCs in women residing in the Greater Manila Area, home to the second largest city in Southeast Asia. Urine samples from women with versus without breast cancer were analyzed for 11 phthalate metabolites, 8 environmental phenols, and 10 bisphenols, while serum samples were analyzed for 12 perfluoroalkyl substances (PFAS). Out of the four groups of EDCs analyzed, PFAS were significantly associated with breast cancer (adjusted OR = 13.63, 95% CI: 3.24-94.88 p-trend = 0.001 for PFDoA; adjusted OR = 9.26, 95% CI 2.54-45.10, p-trend = 0.002 for PFDA; and adjusted OR = 2.66, 95% CI: 0.95-7.66, p-trend = 0.004 for PFHxA). Long-chain PFAS levels were positively correlated with age and were significantly higher in women from Region IV-A, a heavily industrialized region, than from the National Capital Region. Overall, this study showed baseline information regarding the level of EDCs in Filipinas, providing a glimpse of EDC exposure in women living in a megalopolis city in Southeast Asia.
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Affiliation(s)
- Michael C Velarde
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City, Philippines.
| | - Alison Faye O Chan
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City, Philippines
| | - Ma Easter Joy V Sajo
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City, Philippines; Department of Biology, College of Science, University of the Philippines Baguio, Baguio City, Philippines
| | - Igor Zakharevich
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Jonathan Melamed
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Gemma Leonora B Uy
- Department of Surgery, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Joji Marie Y Teves
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City, Philippines
| | - Allen Joy M Corachea
- Institute of Biology, College of Science, University of the Philippines Diliman, Quezon City, Philippines
| | - Apple P Valparaiso
- Department of Surgery, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Shiela S Macalindong
- Department of Surgery, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Nelson D Cabaluna
- Department of Surgery, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Rodney B Dofitas
- Department of Surgery, Philippine General Hospital, University of the Philippines Manila, Manila, Philippines
| | - Linda C Giudice
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Roy R Gerona
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA
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23
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Strain J, Spaans F, Serhan M, Davidge ST, Connor KL. Programming of weight and obesity across the lifecourse by the maternal metabolic exposome: A systematic review. Mol Aspects Med 2021; 87:100986. [PMID: 34167845 DOI: 10.1016/j.mam.2021.100986] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 05/14/2021] [Accepted: 06/07/2021] [Indexed: 12/11/2022]
Abstract
Exposome research aims to comprehensively understand the multiple environmental exposures that influence human health. To date, much of exposome science has focused on environmental chemical exposures and does not take a lifecourse approach. The rising prevalence of obesity, and the limited success in its prevention points to the need for a better understanding of the diverse exposures that associate with, or protect against, this condition, and the mechanisms driving its pathogenesis. The objectives of this review were to 1. evaluate the evidence on the maternal metabolic exposome in the programming of offspring growth/obesity and 2. identify and discuss the mechanisms underlying the programming of obesity. A systematic review was conducted following PRISMA guidelines to capture articles that investigated early life metabolic exposures and offspring weight and/or obesity outcomes. Scientific databases were searched using pre-determined indexed search terms, and risk of bias assessments were conducted to determine study quality. A final total of 76 articles were obtained and extracted data from human and animal studies were visualised using GOfER diagrams. Multiple early life exposures, including maternal obesity, diabetes and adverse nutrition, increase the risk of high weight at birth and postnatally, and excess adipose accumulation in human and animal offspring. The main mechanisms through which the metabolic exposome programmes offspring growth and obesity risk include epigenetic modifications, altered placental function, altered composition of the gut microbiome and breast milk, and metabolic inflammation, with downstream effects on development of the central appetite system, adipose tissues and liver. Understanding early life risks and protectors, and the mechanisms through which the exposome modifies health trajectories, is critical for developing and applying early interventions to prevent offspring obesity later in life.
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Affiliation(s)
- Jamie Strain
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada
| | - Floor Spaans
- Department of Obstetrics and Gynaecology, University of Alberta, Edmonton, AB, Canada; Women and Children's Health Research Institute, University of Alberta, Edmonton, AB, Canada
| | - Mohamed Serhan
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada
| | - Sandra T Davidge
- Department of Obstetrics and Gynaecology, University of Alberta, Edmonton, AB, Canada; Department of Physiology, University of Alberta, Edmonton, AB, Canada; Women and Children's Health Research Institute, University of Alberta, Edmonton, AB, Canada
| | - Kristin L Connor
- Department of Health Sciences, Carleton University, Ottawa, ON, Canada.
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Stingone JA, Triantafillou S, Larsen A, Kitt JP, Shaw GM, Marsillach J. Interdisciplinary data science to advance environmental health research and improve birth outcomes. ENVIRONMENTAL RESEARCH 2021; 197:111019. [PMID: 33737076 PMCID: PMC8187296 DOI: 10.1016/j.envres.2021.111019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/08/2021] [Accepted: 03/10/2021] [Indexed: 05/30/2023]
Abstract
Rates of preterm birth and low birthweight continue to rise in the United States and pose a significant public health problem. Although a variety of environmental exposures are known to contribute to these and other adverse birth outcomes, there has been a limited success in developing policies to prevent these outcomes. A better characterization of the complexities between multiple exposures and their biological responses can provide the evidence needed to inform public health policy and strengthen preventative population-level interventions. In order to achieve this, we encourage the establishment of an interdisciplinary data science framework that integrates epidemiology, toxicology and bioinformatics with biomarker-based research to better define how population-level exposures contribute to these adverse birth outcomes. The proposed interdisciplinary research framework would 1) facilitate data-driven analyses using existing data from health registries and environmental monitoring programs; 2) develop novel algorithms with the ability to predict which exposures are driving, in this case, adverse birth outcomes in the context of simultaneous exposures; and 3) refine biomarker-based research, ultimately leading to new policies and interventions to reduce the incidence of adverse birth outcomes.
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Affiliation(s)
- Jeanette A Stingone
- Department of Epidemiology, Columbia University's Mailman School of Public Health, 722 West 168th St, Room 1608, New York, NY, 10032, USA.
| | - Sofia Triantafillou
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alexandra Larsen
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Jay P Kitt
- Departments of Chemistry and Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Judit Marsillach
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA
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25
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Pancreatic Cancer Exposome Profile to Aid Early Detection and Inform Prevention Strategies. J Clin Med 2021; 10:jcm10081665. [PMID: 33924591 PMCID: PMC8069449 DOI: 10.3390/jcm10081665] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/19/2021] [Accepted: 04/08/2021] [Indexed: 12/12/2022] Open
Abstract
Pancreatic cancer (PCa) is associated with a poor prognosis and high mortality rate. The causes of PCa are not fully elucidated yet, although certain exposome factors have been identified. The exposome is defined as the sum of all environmental factors influencing the occurrence of a disease during a life span. The development of an exposome approach for PCa has the potential to discover new disease-associated factors to better understand the carcinogenesis of PCa and help with early detection strategies. Our systematic review of the literature identified several exposome factors that have been associated with PCa alone and in combination with other exposures. A potential inflammatory signature has been observed among the interaction of several exposures (i.e., smoking, alcohol consumption, diabetes mellitus, obesity, and inflammatory markers) that further increases the incidence and progression of PCa. A large number of exposures have been identified such as genetic, hormonal, microorganism infections and immune responses that warrant further investigation. Future early detection strategies should utilize this information to assess individuals' risk for PCa.
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26
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Huhn S, Escher BI, Krauss M, Scholz S, Hackermüller J, Altenburger R. Unravelling the chemical exposome in cohort studies: routes explored and steps to become comprehensive. ENVIRONMENTAL SCIENCES EUROPE 2021; 33:17. [PMID: 33614387 PMCID: PMC7877320 DOI: 10.1186/s12302-020-00444-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 11/30/2020] [Indexed: 05/04/2023]
Abstract
Environmental factors contribute to the risk for adverse health outcomes against a background of genetic predisposition. Among these factors, chemical exposures may substantially contribute to disease risk and adverse outcomes. In fact, epidemiological cohort studies have established associations between exposure against individual chemicals and adverse health effects. Yet, in daily life individuals are exposed to complex mixtures in varying compositions. To capture the totality of environmental exposures the concept of the exposome has been developed. Here, we undertake an overview of major exposome projects, which pioneered the field of exposomics and explored the links between chemical exposure and health outcomes using cohort studies. We seek to reflect their achievements with regard to (i) capturing a comprehensive picture of the environmental chemical exposome, (ii) aggregating internal exposures using chemical and bioanalytical means of detection, and (iii) identifying associations that provide novel options for risk assessment and intervention. Various complementary approaches can be distinguished in addressing relevant exposure routes and it emerges that individual exposure histories may not easily be grouped. The number of chemicals for which human exposure can be detected is substantial and highlights the reality of mixture exposures. Yet, to a large extent it depends on targeted chemical analysis with the specific challenges to capture all relevant exposure routes and assess the chemical concentrations occurring in humans. The currently used approaches imply prior knowledge or hypotheses about relevant exposures. Typically, the number of chemicals considered in exposome projects is counted in dozens-in contrast to the several thousands of chemicals for which occurrence have been reported in human serum and urine. Furthermore, health outcomes are often still compared to single chemicals only. Moreover, explicit consideration of mixture effects and the interrelations between different outcomes to support causal relationships and identify risk drivers in complex mixtures remain underdeveloped and call for specifically designed exposome-cohort studies.
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Affiliation(s)
- Sebastian Huhn
- Helmholtz Centre for Environmental Research GmbH – UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Pediatric Epidemiology, Department of Pediatrics, University of Leipzig Medical Center, Leipzig, Germany
| | - Beate I. Escher
- Helmholtz Centre for Environmental Research GmbH – UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Environmental Toxicology, Center for Applied Geosciences, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Martin Krauss
- Helmholtz Centre for Environmental Research GmbH – UFZ, Permoserstraße 15, 04318 Leipzig, Germany
| | - Stefan Scholz
- Helmholtz Centre for Environmental Research GmbH – UFZ, Permoserstraße 15, 04318 Leipzig, Germany
| | - Jörg Hackermüller
- Helmholtz Centre for Environmental Research GmbH – UFZ, Permoserstraße 15, 04318 Leipzig, Germany
| | - Rolf Altenburger
- Helmholtz Centre for Environmental Research GmbH – UFZ, Permoserstraße 15, 04318 Leipzig, Germany
- Department of Bioanalytical Ecotoxicology, RWTH-Aachen University, Aachen, Germany
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27
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Air Pollution and Adverse Pregnancy and Birth Outcomes: Mediation Analysis Using Metabolomic Profiles. Curr Environ Health Rep 2021; 7:231-242. [PMID: 32770318 DOI: 10.1007/s40572-020-00284-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Review how to use metabolomic profiling in causal mediation analysis to assess epidemiological evidence for air pollution impacts on birth outcomes. RECENT FINDINGS Maternal exposures to air pollutants have been associated with pregnancy complications and adverse pregnancy and birth outcomes. Causal mediation analysis enables us to estimate direct and indirect effects on outcomes (i.e., effect decomposition), elucidating causal mechanisms or effect pathways. Maternal metabolites and metabolic pathways are perturbed by air pollution exposures may lead to adverse pregnancy and birth outcomes, thus they can be considered mediators in the causal pathways. Metabolomic markers have been used to explain the biological mechanisms linking air pollution and respiratory function, and of arsenic exposure and birth weight. However, mediation analysis of metabolomic markers has not been used to assess air pollution effects on adverse birth outcomes. In this article, we describe the assumptions and applications of mediation analysis using metabolomic markers that elucidate the potential mechanisms of the effects of air pollution on adverse pregnancy and birth outcomes. The hypothesis of mediation along specified pathways can be assessed within the structural causal modeling framework. For causal inferences, several assumptions that go beyond the data-including no uncontrolled confounding-need to be made to justify the effect decomposition. Nevertheless, studies that integrate metabolomic information in causal mediation analysis may greatly improve our understanding of the effects of ambient air pollution on adverse pregnancy and birth outcomes as they allow us to suggest and test hypotheses about underlying biological mechanisms in studies of pregnant women.
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Lucock MD. A Brief Introduction to the Exposome and Human Health. EXPLORATORY RESEARCH AND HYPOTHESIS IN MEDICINE 2020; 000:1-6. [DOI: 10.14218/erhm.2020.00070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Baluch N, Gallant M, Ellis AK. Exposomal research in the context of birth cohorts: What have they taught us? Ann Allergy Asthma Immunol 2020; 125:639-645. [PMID: 32927048 DOI: 10.1016/j.anai.2020.09.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/02/2020] [Accepted: 09/04/2020] [Indexed: 12/26/2022]
Abstract
OBJECTIVE To review birth cohorts with an exposomal approach and their key outcomes and challenges. Exposome encompasses all human environmental exposures from conception onward. The impact of environmental exposures is greatest in critical stages of life, including fetal and early childhood. Birth cohorts provide a good study setting to assess exposome in the sensitive periods of life. Here, we review birth cohorts with an exposomal approach and their key outcomes and challenges. DATA SOURCES MEDLINE was searched for birth cohorts that have used an exposomal approach. STUDY SELECTIONS Relevant studies in English language were selected and reviewed. RESULTS The outcomes of birth cohorts with an exposomal approach improve our understanding of the association between environmental exposures and childhood diseases. For example, results from The Canadian Healthy Infant Longitudinal Development Study suggest an association between first trimester exposure to traffic-related air pollution and increased risk of allergic sensitization at 12 months of age (P = .6). In a smaller Canadian birth cohort study, it was found that regular use of air fresheners (adjusted P = .04) and presence of mold in the residence (adjusted P < .001) were associated with early childhood wheezing and cough. The application of emerging molecular omics technologies and new analytical tools has facilitated the comprehensive assessment of exposome in birth cohorts. CONCLUSION Birth cohort studies with an exposomal approach improve our understanding of the origin of childhood diseases by examining a complex network of environmental exposures during pregnancy and years beyond birth. International collaboration is required to develop large birth cohorts for better and more extensive assessment of exposome with standardized protocols and new statistical frameworks.
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Affiliation(s)
- Narges Baluch
- Department of Pediatrics, Queen's University, Kingston, Ontario, Canada
| | - Mallory Gallant
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada; Allergy Research Unit, Kingston Health Sciences Centre, Kingston General Hospital Site, Kingston, Ontario, Canada
| | - Anne K Ellis
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada; Allergy Research Unit, Kingston Health Sciences Centre, Kingston General Hospital Site, Kingston, Ontario, Canada; Division of Allergy & Immunology, Department of Medicine, Queen's University, Kingston, Ontario, Canada.
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30
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Patterns and Variability of Endocrine-disrupting Chemicals During Pregnancy: Implications for Understanding the Exposome of Normal Pregnancy. Epidemiology 2020; 30 Suppl 2:S65-S75. [PMID: 31569155 DOI: 10.1097/ede.0000000000001082] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND The exposome is a novel research paradigm offering promise for understanding the complexity of human exposures, including endocrine-disrupting chemicals (EDCs) and pregnancy outcomes. The physiologically active state of pregnancy requires understanding temporal changes in EDCs to better inform the application of the exposome research paradigm and serve as the impetus for study. METHODS We randomly selected 50 healthy pregnant women with uncomplicated pregnancies from a pregnancy cohort who had available serum/urine samples in each trimester for measuring 144 persistent and 48 nonpersistent EDCs. We used unsupervised machine-learning techniques capable of handling hierarchical clustering of exposures to identify EDC patterns across pregnancy, and linear mixed-effects modeling with false-discovery rate correction to identify those that change over pregnancy trimesters. We estimated the percent variation in chemical concentrations accounted for by time (pregnancy trimester) using Akaike Information Criterion-based R methods. RESULTS Four chemical clusters comprising 80 compounds, of which six consistently increased, 63 consistently decreased, and 11 reflected inconsistent patterns over pregnancy. Overall, concentrations tended to decrease over pregnancy for persistent EDCs; a reverse pattern was seen for many nonpersistent chemicals. Explained variance was highest for five persistent chemicals: polybrominated diphenyl ethers #191 (51%) and #126 (47%), hexachlorobenzene (46%), p,p'-dichloro-diphenyl-dichloroethylene (46%), and o,p'-dichloro-diphenyl-dichloroethane (36%). CONCLUSIONS Concentrations of many EDCs are not stable across pregnancy and reflect varying patterns depending on their persistency underscoring the importance of timed biospecimen collection. Analytic techniques are available for assessing temporal patterns of EDCs during pregnancy apart from physiologic changes.
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31
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Canali S. Making evidential claims in epidemiology: Three strategies for the study of the exposome. STUDIES IN HISTORY AND PHILOSOPHY OF BIOLOGICAL AND BIOMEDICAL SCIENCES 2020; 82:101248. [PMID: 32307253 DOI: 10.1016/j.shpsc.2019.101248] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 10/15/2019] [Accepted: 12/27/2019] [Indexed: 06/11/2023]
Abstract
How is scientific data used to represent phenomena and as evidence for claims about phenomena? In this paper, I propose that a specific type of claims - evidential claims - is involved in data practices to define and restrict the representational and evidential content of a dataset. I present an account of data practices in the epidemiology of the exposome based on the notion of evidential claims, which helps unpack the approaches, assumptions and warrants that connect different stages of research. I identify three different strategies to generate different types of evidential claims in this case. The macro strategy, which individuates the dataset that serves as the initial evidential space for research. The micro strategy, which is used to generate evidential claims about the microscopic and individual component of target phenomena. The association strategy, that uses evidence from the other strategies to identify a dataset as representation of the different levels and relations of exposure and disease. Differentiating between these strategies sheds light on the multi-faceted landscape of biomedical research on environment and health; and the roles of data and evidence in the process of inquiry.
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Affiliation(s)
- Stefano Canali
- Institute for Philosophy, Leibniz Universität Hannover, Lange Laube 32, 30159, Hannover, Germany.
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32
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Jaddoe VWV, Felix JF, Andersen AMN, Charles MA, Chatzi L, Corpeleijn E, Donner N, Elhakeem A, Eriksson JG, Foong R, Grote V, Haakma S, Hanson M, Harris JR, Heude B, Huang RC, Inskip H, Järvelin MR, Koletzko B, Lawlor DA, Lindeboom M, McEachan RRC, Mikkola TM, Nader JLT, de Moira AP, Pizzi C, Richiardi L, Sebert S, Schwalber A, Sunyer J, Swertz MA, Vafeiadi M, Vrijheid M, Wright J, Duijts L. The LifeCycle Project-EU Child Cohort Network: a federated analysis infrastructure and harmonized data of more than 250,000 children and parents. Eur J Epidemiol 2020; 35:709-724. [PMID: 32705500 PMCID: PMC7387322 DOI: 10.1007/s10654-020-00662-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/04/2020] [Indexed: 12/15/2022]
Abstract
Early life is an important window of opportunity to improve health across the full lifecycle. An accumulating body of evidence suggests that exposure to adverse stressors during early life leads to developmental adaptations, which subsequently affect disease risk in later life. Also, geographical, socio-economic, and ethnic differences are related to health inequalities from early life onwards. To address these important public health challenges, many European pregnancy and childhood cohorts have been established over the last 30 years. The enormous wealth of data of these cohorts has led to important new biological insights and important impact for health from early life onwards. The impact of these cohorts and their data could be further increased by combining data from different cohorts. Combining data will lead to the possibility of identifying smaller effect estimates, and the opportunity to better identify risk groups and risk factors leading to disease across the lifecycle across countries. Also, it enables research on better causal understanding and modelling of life course health trajectories. The EU Child Cohort Network, established by the Horizon2020-funded LifeCycle Project, brings together nineteen pregnancy and childhood cohorts, together including more than 250,000 children and their parents. A large set of variables has been harmonised and standardized across these cohorts. The harmonized data are kept within each institution and can be accessed by external researchers through a shared federated data analysis platform using the R-based platform DataSHIELD, which takes relevant national and international data regulations into account. The EU Child Cohort Network has an open character. All protocols for data harmonization and setting up the data analysis platform are available online. The EU Child Cohort Network creates great opportunities for researchers to use data from different cohorts, during and beyond the LifeCycle Project duration. It also provides a novel model for collaborative research in large research infrastructures with individual-level data. The LifeCycle Project will translate results from research using the EU Child Cohort Network into recommendations for targeted prevention strategies to improve health trajectories for current and future generations by optimizing their earliest phases of life.
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Affiliation(s)
- Vincent W V Jaddoe
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA, Rotterdam, The Netherlands. .,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Janine F Felix
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anne-Marie Nybo Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie-Aline Charles
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France.,ELFE Joint Unit, French Institute for Demographic Studies (Ined), French Institute for Medical Research and Health (INSERM), French Blood Agency, Aubervilliers, France
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Nina Donner
- Concentris Research Management GmbH, Fürstenfeldbruck, Germany
| | - Ahmed Elhakeem
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland.,Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.,Singapore Institute for Clinical Sciences (SICS), Agency for Science and Technology (A*STAR), Singapore, Singapore
| | - Rachel Foong
- Telethon Kids Institute, Perth, WA, Australia.,School of Physiotherapy and Exercise Science, Curtin University, Perth, WA, Australia
| | - Veit Grote
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU, Munich, Germany
| | - Sido Haakma
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands
| | - Mark Hanson
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Jennifer R Harris
- Centre for Fertility and Health, The Norwegian Institute of Public Health, Oslo, Norway.,Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, Paris, France
| | | | - Hazel Inskip
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Marjo-Riitta Järvelin
- Center for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland.,Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK.,Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Berthold Koletzko
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, LMU, Munich, Germany
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.,NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Maarten Lindeboom
- Department of Economics, VU University Amsterdam, Amsterdam, The Netherlands
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | - Johanna L T Nader
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Angela Pinot de Moira
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Costanza Pizzi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Lorenzo Richiardi
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Sylvain Sebert
- Center for Life-Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Ameli Schwalber
- Concentris Research Management GmbH, Fürstenfeldbruck, Germany
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Morris A Swertz
- University of Groningen, University Medical Center Groningen, Genomics Coordination Center, Groningen, The Netherlands.,Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Liesbeth Duijts
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Generation R Study Group, (Na 29-18), PO Box 2040, 3000 CA, Rotterdam, The Netherlands.,Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Applying the exposome concept in birth cohort research: a review of statistical approaches. Eur J Epidemiol 2020; 35:193-204. [PMID: 32221742 PMCID: PMC7154018 DOI: 10.1007/s10654-020-00625-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 03/17/2020] [Indexed: 12/30/2022]
Abstract
The exposome represents the totality of life course environmental exposures (including lifestyle and other non-genetic factors), from the prenatal period onwards. This holistic concept of exposure provides a new framework to advance the understanding of complex and multifactorial diseases. Prospective pregnancy and birth cohort studies provide a unique opportunity for exposome research as they are able to capture, from prenatal life onwards, both the external (including lifestyle, chemical, social and wider community-level exposures) and the internal (including inflammation, metabolism, epigenetics, and gut microbiota) domains of the exposome. In this paper, we describe the steps required for applying an exposome approach, describe the main strengths and limitations of different statistical approaches and discuss their challenges, with the aim to provide guidance for methodological choices in the analysis of exposome data in birth cohort studies. An exposome approach implies selecting, pre-processing, describing and analyzing a large set of exposures. Several statistical methods are currently available to assess exposome-health associations, which differ in terms of research question that can be answered, of balance between sensitivity and false discovery proportion, and between computational complexity and simplicity (parsimony). Assessing the association between many exposures and health still raises many exposure assessment issues and statistical challenges. The exposome favors a holistic approach of environmental influences on health, which is likely to allow a more complete understanding of disease etiology.
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Varshavsky J, Smith A, Wang A, Hom E, Izano M, Huang H, Padula A, Woodruff TJ. Heightened susceptibility: A review of how pregnancy and chemical exposures influence maternal health. Reprod Toxicol 2020; 92:14-56. [PMID: 31055053 PMCID: PMC6824944 DOI: 10.1016/j.reprotox.2019.04.004] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 03/12/2019] [Accepted: 04/22/2019] [Indexed: 12/19/2022]
Abstract
Pregnancy is a unique period when biological changes can increase sensitivity to chemical exposures. Pregnant women are exposed to multiple environmental chemicals via air, food, water, and consumer products, including flame retardants, plasticizers, and pesticides. Lead exposure increases risk of pregnancy-induced hypertensive disorders, although women's health risks are poorly characterized for most chemicals. Research on prenatal exposures has focused on fetal outcomes and less on maternal outcomes. We reviewed epidemiologic literature on chemical exposures during pregnancy and three maternal outcomes: preeclampsia, gestational diabetes, and breast cancer. We found that pregnancy can heighten susceptibility to environmental chemicals and women's health risks, although variations in study design and exposure assessment limited study comparability. Future research should include pregnancy as a critical period for women's health. Incorporating biomarkers of exposure and effect, deliberate timing and method of measurement, and consistent adjustment of potential confounders would strengthen research on the exposome and women's health.
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Affiliation(s)
- Julia Varshavsky
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA.
| | - Anna Smith
- University of California, Berkeley, School of Public Health, Berkeley, CA, USA
| | - Aolin Wang
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA; University of California, San Francisco, Bakar Computational Health Sciences Institute, San Francisco, CA, USA
| | - Elizabeth Hom
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
| | - Monika Izano
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
| | - Hongtai Huang
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA; University of California, San Francisco, Bakar Computational Health Sciences Institute, San Francisco, CA, USA
| | - Amy Padula
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
| | - Tracey J Woodruff
- University of California, San Francisco, Program on Reproductive Health and the Environment, San Francisco, CA, USA
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Calamandrei G, Ricceri L, Meccia E, Tartaglione AM, Horvat M, Tratnik JS, Mazej D, Špirić Z, Prpić I, Vlašić-Cicvarić I, Neubauer D, Kodrič J, Stropnik S, Janasik B, Kuraś R, Mirabella F, Polańska K, Chiarotti F. Pregnancy exposome and child psychomotor development in three European birth cohorts. ENVIRONMENTAL RESEARCH 2020; 181:108856. [PMID: 31706595 DOI: 10.1016/j.envres.2019.108856] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 09/13/2019] [Accepted: 10/23/2019] [Indexed: 06/10/2023]
Abstract
Characterization of the exposome, the totality of all environmental factors that one is exposed to from conception onwards, has been recommended to better evaluate the role of environmental influences on developmental programming and life-course vulnerability to major chronic diseases. In the framework of the Health and Environment-wide Associations based on Large population Surveys (HEALS) project we considered the pregnancy exposome exploiting two databases (PHIME and REPRO_PL) that include birth cohorts from three EU countries (Croatia, Slovenia and Poland). The databases contained information on several chemical exposures, socio-demographic, lifestyle and health related factors from conception to child birth, and neuropsychological scores assessed by the Bayley Scales of Infant and Toddler Development in the first two years of life. Our main goal was to assess consistency of environmental influences on neurodevelopment, if any, across European countries differing for geographical, socio-demographic characteristics and levels of chemical exposures to metals such as lead (Pb), mercury (Hg), cadmium (Cd) and trace elements, including micronutrients such as zinc (Zn) and selenium (Se). To this aim, we first selected variables common to the different databases, then applied univariate and multivariate regression analyses to identify factors linked to neurodevelopment, and finally performed meta-analysis to detect potential heterogeneity among cohorts and pooled estimates. Significant differences in exposure levels among the three sub-cohorts were observed as for Hg and Se; exposure levels under study were relatively low and within the range described in existing EU biomonitoring studies. The univariate analyses did not show any common pattern of association as only in the Polish cohort chemical exposure had an impact on neuropsychological outcome. In the meta-analysis, some consistent trends were evident, relative to the adverse influence of Pb on children's language and cognition and the positive influence of Se on language abilities. The effects of the neurotoxic metal Hg positively influenced the motor scores in the Polish cohorts, while it decreased the motor scores in the Slovenia and Croatian sub-cohorts. The only socio-demographic factor consistently associated to the outcome among cohorts was child's sex, with females performing better than males on cognitive and language scores. These findings point to the need of harmonizing existing cohorts or creating prospective study designs that facilitate comparisons in the exposome over time, places and kind of environmental exposures.
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Affiliation(s)
- Gemma Calamandrei
- Centre for Behavioral Sciences and Mental Health, National Institute of Health (ISS), Rome, Italy.
| | - Laura Ricceri
- Centre for Behavioral Sciences and Mental Health, National Institute of Health (ISS), Rome, Italy
| | - Ettore Meccia
- Department of Environment and Primary Prevention, National Institute of Health (ISS), Rome, Italy
| | - Anna Maria Tartaglione
- Centre for Behavioral Sciences and Mental Health, National Institute of Health (ISS), Rome, Italy
| | - Milena Horvat
- Department of Environmental Sciences, Jožef Stefan Institute (JSI), Ljubljana, Slovenia
| | - Janja Snoj Tratnik
- Department of Environmental Sciences, Jožef Stefan Institute (JSI), Ljubljana, Slovenia
| | - Darja Mazej
- Department of Environmental Sciences, Jožef Stefan Institute (JSI), Ljubljana, Slovenia
| | | | - Igor Prpić
- University Hospital Centre Rijeka, Centre for Clinical, Health and Organizational Psychology, Rijeka, Croatia
| | - Inge Vlašić-Cicvarić
- University Hospital Centre Rijeka, Centre for Clinical, Health and Organizational Psychology, Rijeka, Croatia
| | - David Neubauer
- Division of Paediatrics, Department of Child, Adolescent and Developmental Neurology, University Medical Centre Ljubljana, Slovenia
| | - Jana Kodrič
- Division of Paediatrics, Department of Child, Adolescent and Developmental Neurology, University Medical Centre Ljubljana, Slovenia
| | - Staša Stropnik
- Division of Paediatrics, Department of Child, Adolescent and Developmental Neurology, University Medical Centre Ljubljana, Slovenia
| | - Beata Janasik
- Department of Biological and Environmental Monitoring, Nofer Institute of Occupational Medicine (NIOM), Lodz, Poland
| | - Renata Kuraś
- Department of Biological and Environmental Monitoring, Nofer Institute of Occupational Medicine (NIOM), Lodz, Poland
| | - Fiorino Mirabella
- Centre for Behavioral Sciences and Mental Health, National Institute of Health (ISS), Rome, Italy
| | - Kinga Polańska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine (NIOM), Lodz, Poland
| | - Flavia Chiarotti
- Centre for Behavioral Sciences and Mental Health, National Institute of Health (ISS), Rome, Italy
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Rosen Vollmar AK, Rattray NJW, Cai Y, Santos-Neto ÁJ, Deziel NC, Jukic AMZ, Johnson CH. Normalizing Untargeted Periconceptional Urinary Metabolomics Data: A Comparison of Approaches. Metabolites 2019; 9:E198. [PMID: 31546636 PMCID: PMC6835889 DOI: 10.3390/metabo9100198] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 09/09/2019] [Accepted: 09/19/2019] [Indexed: 12/17/2022] Open
Abstract
Metabolomics studies of the early-life exposome often use maternal urine specimens to investigate critical developmental windows, including the periconceptional period and early pregnancy. During these windows changes in kidney function can impact urine concentration. This makes accounting for differential urinary dilution across samples challenging. Because there is no consensus on the ideal normalization approach for urinary metabolomics data, this study's objective was to determine the optimal post-analytical normalization approach for untargeted metabolomics analysis from a periconceptional cohort of 45 women. Urine samples consisted of 90 paired pre- and post-implantation samples. After untargeted mass spectrometry-based metabolomics analysis, we systematically compared the performance of three common approaches to adjust for urinary dilution-creatinine adjustment, specific gravity adjustment, and probabilistic quotient normalization (PQN)-using unsupervised principal components analysis, relative standard deviation (RSD) of pooled quality control samples, and orthogonal partial least-squares discriminant analysis (OPLS-DA). Results showed that creatinine adjustment is not a reliable approach to normalize urinary periconceptional metabolomics data. Either specific gravity or PQN are more reliable methods to adjust for urinary concentration, with tighter quality control sample clustering, lower RSD, and better OPLS-DA performance compared to creatinine adjustment. These findings have implications for metabolomics analyses on urine samples taken around the time of conception and in contexts where kidney function may be altered.
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Affiliation(s)
- Ana K Rosen Vollmar
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.
| | - Nicholas J W Rattray
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, G4 0RE Glasgow, UK.
| | - Yuping Cai
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.
| | - Álvaro J Santos-Neto
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos 13566-590, SP, Brazil.
| | - Nicole C Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.
| | - Anne Marie Z Jukic
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC 27709, USA.
| | - Caroline H Johnson
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.
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Bocato MZ, Bianchi Ximenez JP, Hoffmann C, Barbosa F. An overview of the current progress, challenges, and prospects of human biomonitoring and exposome studies. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2019; 22:131-156. [PMID: 31543064 DOI: 10.1080/10937404.2019.1661588] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Human Biomonitoring (HB), the process for determining whether and to what extent chemical substances penetrated our bodies, serves as a useful tool to quantify human exposure to pollutants. In cases of nutrition and physiologic status, HB plays a critical role in the identification of excess or deficiency of essential nutrients. In pollutant HB studies, levels of substances measured in body fluids (blood, urine, and breast milk) or tissues (hair, nails or teeth) aid in the identification of potential health risks or associated adverse effects. However, even as a widespread practice in several countries, most HB studies reflect exposure to a single compound or mixtures which are measured at a single time point in lifecycle. On the other hand, throughout an individual's lifespan, the contact with different physical, chemical, and social stressors occurs at varying intensities, differing times and durations. Further, the interaction between stressors and body receptors leads to dynamic responses of the entire biological system including proteome, metabolome, transcriptome, and adductome. Bearing this in mind, a relatively new vision in exposure science, defined as the exposome, is postulated to expand the traditional practice of measuring a single exposure to one or few chemicals at one-time point to an approach that addresses measures of exposure to multiple stressors throughout the lifespan. With the exposome concept, the science of exposure advances to an Environment-Wide Association Perspective, which might exhibit a stronger relationship with good health or disease conditions for an individual (phenotype). Thus, this critical review focused on the current progress of HB and exposome investigations, anticipating some challenges, strategies, and future needs to be taken into account for designing future surveys.
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Affiliation(s)
- Mariana Zuccherato Bocato
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
| | - João Paulo Bianchi Ximenez
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
| | - Christian Hoffmann
- Departmento de Alimentos e Nutrição Experimental Faculdade de Ciências Farmacêuticas, Universidade de São Paulo , São Paulo , Brazil
| | - Fernando Barbosa
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
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Golding J, Gregory S, Northstone K, Iles-Caven Y, Ellis G, Pembrey M. Investigating Possible Trans/Intergenerational Associations With Obesity in Young Adults Using an Exposome Approach. Front Genet 2019; 10:314. [PMID: 31024624 PMCID: PMC6459952 DOI: 10.3389/fgene.2019.00314] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 03/21/2019] [Indexed: 11/13/2022] Open
Abstract
Animal experiments demonstrate ways in which an exposure in one generation can be reflected in a variety of outcomes in later generations. In parallel human observational studies have shown associations between grandparental and parental exposures to cigarette smoking and/or nutrition and growth and survival of the grandchild. These studies have controlled for just a few confounders selected ad hoc. Here we use an exposome approach (using all available measures of exposure) to determine trans/inter-generational factors that may be important in studying environmental factors associated with fat mass in young human adults. The study takes advantage of the rich data available in the Avon Longitudinal Study of Parents and Children (ALSPAC). We test associations with features of grandparents (G0) and the childhood of the parents (G1) of 24-year olds (G2). We hypothesized that intergenerational associations would be revealed, particularly with exposure to cigarette smoke, and that these would vary with the sexes of all three generations. The study exposome analyzed 172 exposures to the maternal line and 182 to the paternal line. A series of stepwise regression analyses reduced the initial 40 unadjusted factors (P < 0.05) to eight independent features on the maternal line, and of 26 on the paternal line to five. We found strong associations between the father starting to smoke cigarettes regularly before age 11 and increased fat mass in his adult children (unadjusted = +7.82 [95% CI +2.75, +12.90] Kg; adjusted = +11.22 [+5.23, +17.22] Kg); this association was stronger in male offspring. In addition, when the paternal grandmother had smoked in pregnancy her adult granddaughters, but not grandsons had elevated mean fat mass (interaction with sex after adjustment, P = 0.001). The exposome technique identified other factors that were independently associated with fat mass in young adults. These may be useful in identifying appropriate confounders in other more proximal analyses, but also may identify features that may be on epigenetic pathways leading to increased fat mass in subsequent generations. We acknowledge that the results need to be replicated in other cohorts and encourage further linkage of outcomes with previous generational exposures, particularly along the paternal line.
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Affiliation(s)
- Jean Golding
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Kelley AS, Banker M, Goodrich JM, Dolinoy DC, Burant C, Domino SE, Smith YR, Song PXK, Padmanabhan V. Early pregnancy exposure to endocrine disrupting chemical mixtures are associated with inflammatory changes in maternal and neonatal circulation. Sci Rep 2019; 9:5422. [PMID: 30931951 PMCID: PMC6443771 DOI: 10.1038/s41598-019-41134-z] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 02/26/2019] [Indexed: 01/12/2023] Open
Abstract
Endocrine disrupting chemicals (EDCs) are ubiquitous, and pregnancy is a sensitive window for toxicant exposure. EDCs may disrupt the maternal immune system, which may lead to poor pregnancy outcomes. Most studies investigate single EDCs, even though "real life" exposures do not occur in isolation. We tested the hypothesis that uniquely weighted mixtures of early pregnancy exposures are associated with distinct changes in the maternal and neonatal inflammasome. First trimester urine samples were tested for 12 phthalates, 12 phenols, and 17 metals in 56 women. Twelve cytokines were measured in first trimester and term maternal plasma, and in cord blood after delivery. Spearman correlations and linear regression were used to relate individual exposures with inflammatory cytokines. Linear regression was used to relate cytokine levels with gestational age and birth weight. Principal component analysis was used to assess the effect of weighted EDC mixtures on maternal and neonatal inflammation. Our results demonstrated that maternal and cord blood cytokines were differentially associated with (1) individual EDCs and (2) EDC mixtures. Several individual cytokines were positively associated with gestational age and birth weight. These observed associations between EDC mixtures and the pregnancy inflammasome may have clinical and public health implications for women of childbearing age.
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Affiliation(s)
- Angela S Kelley
- Department of Obstetrics and Gynecology, University of Michigan, L4001 Women's Hospital, 1500 East Medical Center Drive, Ann Arbor, Michigan, 48109, USA
| | - Margaret Banker
- Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan, 48109, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan, 48109, USA
| | - Dana C Dolinoy
- Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan, 48109, USA.,Department of Nutritional Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan, 48109, USA
| | - Charles Burant
- Department of Internal Medicine, University of Michigan, 24 Frank Lloyd Wright Drive, Ann Arbor, Michigan, 48105, USA
| | - Steven E Domino
- Department of Obstetrics and Gynecology, University of Michigan, L4001 Women's Hospital, 1500 East Medical Center Drive, Ann Arbor, Michigan, 48109, USA
| | - Yolanda R Smith
- Department of Obstetrics and Gynecology, University of Michigan, L4001 Women's Hospital, 1500 East Medical Center Drive, Ann Arbor, Michigan, 48109, USA
| | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan, 48109, USA
| | - Vasantha Padmanabhan
- Department of Obstetrics and Gynecology, University of Michigan, L4001 Women's Hospital, 1500 East Medical Center Drive, Ann Arbor, Michigan, 48109, USA. .,Department of Environmental Health Sciences, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, Michigan, 48109, USA. .,Department of Pediatrics, University of Michigan, 7510 MSRB 1, 1500 W. Medical Center Dr., Ann Arbor, MI, 48109, USA.
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40
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Transplacental exposure to carcinogens and risks to children: evidence from biomarker studies and the utility of omic profiling. Arch Toxicol 2019; 93:833-857. [PMID: 30859261 DOI: 10.1007/s00204-019-02428-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 03/04/2019] [Indexed: 12/12/2022]
Abstract
The factors underlying the increasing rates and the geographic variation of childhood cancers are largely unknown. Epidemiological studies provide limited evidence for a possible role in the etiology of certain types of childhood cancer of the exposure of pregnant women to environmental carcinogens (e.g., tobacco smoke and pesticides); however, such evidence is inadequate to allow definitive conclusions. Complementary evidence can be obtained from biomarker-based population studies. Such studies have demonstrated that, following exposure of pregnant mothers, most environmental carcinogens reach the fetus and, in many cases, induce therein genotoxic damage which in adults is known to be associated with increased cancer risk, implying that environmental carcinogens may contribute to the etiology of childhood cancer. During recent years, intermediate disease biomarkers, obtained via omic profiling, have provided additional insights into the impact of transplacental exposures on fetal tissues which, in some cases, are also compatible with a precarcinogenic role of certain in utero exposures. Here we review the epidemiological and biomarker evidence and discuss how further research, especially utilizing high-density profiling, may allow a better evaluation of the links between in utero environmental exposures and cancer in children.
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Tamayo-Uria I, Maitre L, Thomsen C, Nieuwenhuijsen MJ, Chatzi L, Siroux V, Aasvang GM, Agier L, Andrusaityte S, Casas M, de Castro M, Dedele A, Haug LS, Heude B, Grazuleviciene R, Gutzkow KB, Krog NH, Mason D, McEachan RRC, Meltzer HM, Petraviciene I, Robinson O, Roumeliotaki T, Sakhi AK, Urquiza J, Vafeiadi M, Waiblinger D, Warembourg C, Wright J, Slama R, Vrijheid M, Basagaña X. The early-life exposome: Description and patterns in six European countries. ENVIRONMENT INTERNATIONAL 2019; 123:189-200. [PMID: 30530161 DOI: 10.1016/jenvint.2018.11.067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 11/26/2018] [Accepted: 11/26/2018] [Indexed: 05/27/2023]
Abstract
Characterization of the "exposome", the set of all environmental factors that one is exposed to from conception onwards, has been advocated to better understand the role of environmental factors on chronic diseases. Here, we aimed to describe the early-life exposome. Specifically, we focused on the correlations between multiple environmental exposures, their patterns and their variability across European regions and across time (pregnancy and childhood periods). We relied on the Human Early-Life Exposome (HELIX) project, in which 87 environmental exposures during pregnancy and 122 during the childhood period (grouped in 19 exposure groups) were assessed in 1301 pregnant mothers and their children at 6-11 years in 6 European birth cohorts. Some correlations between exposures in the same exposure group reached high values above 0.8. The median correlation within exposure groups was >0.3 for many exposure groups, reaching 0.69 for water disinfection by products in pregnancy and 0.67 for the meteorological group in childhood. Median correlations between different exposure groups rarely reached 0.3. Some correlations were driven by cohort-level associations (e.g. air pollution and chemicals). Ten principal components explained 45% and 39% of the total variance in the pregnancy and childhood exposome, respectively, while 65 and 90 components were required to explain 95% of the exposome variability. Correlations between maternal (pregnancy) and childhood exposures were high (>0.6) for most exposures modeled at the residential address (e.g. air pollution), but were much lower and even close to zero for some chemical exposures. In conclusion, the early life exposome was high dimensional, meaning that it cannot easily be measured by or reduced to fewer components. Correlations between exposures from different exposure groups were much lower than within exposure groups, which have important implications for co-exposure confounding in multiple exposure studies. Also, we observed the early life exposome to be variable over time and to vary by cohort, so measurements at one time point or one place will not capture its complexities.
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Affiliation(s)
- Ibon Tamayo-Uria
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Léa Maitre
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Valérie Siroux
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | | | - Lydiane Agier
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Maribel Casas
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early Origin of the child's Health and Development' (ORCHAD), Villejuif, France; Paris Descartes University, Paris, France
| | | | | | - Norun H Krog
- Norwegian Institute of Public Health, Oslo, Norway
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Oliver Robinson
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | | | - Jose Urquiza
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Dagmar Waiblinger
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rémy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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42
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Tamayo-Uria I, Maitre L, Thomsen C, Nieuwenhuijsen MJ, Chatzi L, Siroux V, Aasvang GM, Agier L, Andrusaityte S, Casas M, de Castro M, Dedele A, Haug LS, Heude B, Grazuleviciene R, Gutzkow KB, Krog NH, Mason D, McEachan RRC, Meltzer HM, Petraviciene I, Robinson O, Roumeliotaki T, Sakhi AK, Urquiza J, Vafeiadi M, Waiblinger D, Warembourg C, Wright J, Slama R, Vrijheid M, Basagaña X. The early-life exposome: Description and patterns in six European countries. ENVIRONMENT INTERNATIONAL 2019; 123:189-200. [PMID: 30530161 PMCID: PMC9946269 DOI: 10.1016/j.envint.2018.11.067] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 11/26/2018] [Accepted: 11/26/2018] [Indexed: 05/20/2023]
Abstract
Characterization of the "exposome", the set of all environmental factors that one is exposed to from conception onwards, has been advocated to better understand the role of environmental factors on chronic diseases. Here, we aimed to describe the early-life exposome. Specifically, we focused on the correlations between multiple environmental exposures, their patterns and their variability across European regions and across time (pregnancy and childhood periods). We relied on the Human Early-Life Exposome (HELIX) project, in which 87 environmental exposures during pregnancy and 122 during the childhood period (grouped in 19 exposure groups) were assessed in 1301 pregnant mothers and their children at 6-11 years in 6 European birth cohorts. Some correlations between exposures in the same exposure group reached high values above 0.8. The median correlation within exposure groups was >0.3 for many exposure groups, reaching 0.69 for water disinfection by products in pregnancy and 0.67 for the meteorological group in childhood. Median correlations between different exposure groups rarely reached 0.3. Some correlations were driven by cohort-level associations (e.g. air pollution and chemicals). Ten principal components explained 45% and 39% of the total variance in the pregnancy and childhood exposome, respectively, while 65 and 90 components were required to explain 95% of the exposome variability. Correlations between maternal (pregnancy) and childhood exposures were high (>0.6) for most exposures modeled at the residential address (e.g. air pollution), but were much lower and even close to zero for some chemical exposures. In conclusion, the early life exposome was high dimensional, meaning that it cannot easily be measured by or reduced to fewer components. Correlations between exposures from different exposure groups were much lower than within exposure groups, which have important implications for co-exposure confounding in multiple exposure studies. Also, we observed the early life exposome to be variable over time and to vary by cohort, so measurements at one time point or one place will not capture its complexities.
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Affiliation(s)
- Ibon Tamayo-Uria
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Léa Maitre
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Valérie Siroux
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | | | - Lydiane Agier
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Maribel Casas
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Line S Haug
- Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), Team 'Early Origin of the child's Health and Development' (ORCHAD), Villejuif, France; Paris Descartes University, Paris, France
| | | | | | - Norun H Krog
- Norwegian Institute of Public Health, Oslo, Norway
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rosemary R C McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Oliver Robinson
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | | | - Jose Urquiza
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Dagmar Waiblinger
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Charline Warembourg
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rémy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain.
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Wu Y, Zhang J, Peng S, Wang X, Luo L, Liu L, Huang Q, Tian M, Zhang X, Shen H. Multiple elements related to metabolic markers in the context of gestational diabetes mellitus in meconium. ENVIRONMENT INTERNATIONAL 2018; 121:1227-1234. [PMID: 30385065 DOI: 10.1016/j.envint.2018.10.044] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 10/03/2018] [Accepted: 10/21/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a typical fetus development niches dysfunction and many toxic/nutrient elements have been associated with its onset and progression. However, the classic epidemiologic approach is regarded as "black-box epidemiology" and fails to elucidate these elements' biological roles on the damaged fetus developmental microenvironment. OBJECTIVE We aimed to characterize the associations between meconium of multiple elements with GDM for illustrating their interruption effects on in-uterus microenvironment. METHODS In this case-control study (n = 137 cases; n = 197 controls), the participants were nested from a cross-sectional retrospection of 1359 recruitments in Xiamen, China. Twenty-one meconium elements were characterized using inductively coupled plasma mass spectrometry (ICP-MS) or inductively coupled plasma optical emission spectrometry (ICP-OES). For shifting the present paradigm from a black-box approach to a molecular approach, GDM-related metabolic markers were identified in our previous metabolome report. Based on the meet-in-middle strategy, the associations among the elements, metabolic markers and GDM incidence were assessed by using redundancy analysis and correlation-adjusted correlation; mediation analysis was further used to test the hypothesis that metabolic markers mediate the associations of the elements with GDM incidence. RESULTS Eight elements were related with the GDM occurrence in dose-dependent manners, which positively (Al, As, Ba, Cd, Hg, and Sn) or negatively (Ca and V) associated with GDM. Among them, As, Cd, Ba, and Ca significantly contributed to the variation of GDM-related metabolic markers. Additionally, the associations of Cd, Ba, Ca and As with GDM were mediated by the metabolic markers which majorly involved in the lipid metabolism and the Adenosine/l-Arginine/Nitric Oxide (ALANO) pathways. CONCLUSIONS The two-side mediations of meconium metabolic markers between the multiple elements and GDM occurrence indicated that maternal exposure to As, Ba, Cd, and Ca may be associated with the dysfunction of fetus development niche through disrupting lipid metabolism and ALANO pathways.
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Affiliation(s)
- Yan Wu
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, Beijing, China
| | - Jie Zhang
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China
| | - Siyuan Peng
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China
| | - Xiaofei Wang
- Department of Chemistry and The MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, China
| | - Lianzhong Luo
- Department of Pharmacy, Xiamen Medical College, Xiamen, China
| | - Liangpo Liu
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China
| | - Qingyu Huang
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China
| | - Meiping Tian
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China
| | - Xueqin Zhang
- Xiamen Maternity and Child Health Care Hospital, Xiamen, China.
| | - Heqing Shen
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, China.
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Haug LS, Sakhi AK, Cequier E, Casas M, Maitre L, Basagana X, Andrusaityte S, Chalkiadaki G, Chatzi L, Coen M, de Bont J, Dedele A, Ferrand J, Grazuleviciene R, Gonzalez JR, Gutzkow KB, Keun H, McEachan R, Meltzer HM, Petraviciene I, Robinson O, Saulnier PJ, Slama R, Sunyer J, Urquiza J, Vafeiadi M, Wright J, Vrijheid M, Thomsen C. In-utero and childhood chemical exposome in six European mother-child cohorts. ENVIRONMENT INTERNATIONAL 2018; 121:751-763. [PMID: 30326459 DOI: 10.1016/j.envint.2018.09.056] [Citation(s) in RCA: 110] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 09/26/2018] [Accepted: 09/30/2018] [Indexed: 05/20/2023]
Abstract
BACKGROUND Harmonized data describing simultaneous exposure to a large number of environmental contaminants in-utero and during childhood is currently very limited. OBJECTIVES To characterize concentrations of a large number of environmental contaminants in pregnant women from Europe and their children, based on chemical analysis of biological samples from mother-child pairs. METHODS We relied on the Early-Life Exposome project, HELIX, a collaborative project across six established population-based birth cohort studies in Europe. In 1301 subjects, biomarkers of exposure to 45 contaminants (i.e. organochlorine compounds, polybrominated diphenyl ethers, per- and polyfluoroalkyl substances, toxic and essential elements, phthalate metabolites, environmental phenols, organophosphate pesticide metabolites and cotinine) were measured in biological samples from children (6-12 years) and their mothers during pregnancy, using highly sensitive biomonitoring methods. RESULTS Most of the exposure biomarkers had high detection frequencies in mothers (35 out of 45 biomarkers with >90% detected) and children (33 out of 45 biomarkers with >90% detected). Concentrations were significantly different between cohorts for all compounds, and were generally higher in maternal compared to children samples. For most of the persistent compounds the correlations between maternal and child concentrations were moderate to high (Spearman Rho > 0.35), while for most non-persistent compounds correlations were considerably lower (Spearman Rho < 0.15). For mercury, PFOS and PFOA a considerable proportion of the samples of both mothers and their children exceeded the HBM I value established by The Human Biomonitoring Commission of the German Federal Environment Agency. DISCUSSION Although not based on a representative sample, our study suggests that children across Europe are exposed to a wide range of environmental contaminants in fetal life and childhood including many with potential adverse effects. For values exceeding the HBM I value identification of specific sources of exposure and reducing exposure in an adequate way is recommended. Considerable variability in this "chemical exposome" was seen between cohorts, showing that place of residence is a strong determinant of one's personal exposome. This extensive dataset comprising >100,000 concentrations of environmental contaminants in mother-child pairs forms a unique possibility for conducting epidemiological studies using an exposome approach.
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Affiliation(s)
| | | | | | - Maribel Casas
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Léa Maitre
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Xavier Basagana
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | | | - Leda Chatzi
- Department of Social Medicine, University of Crete, Greece; Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA; Department of Genetics & Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - Muireann Coen
- Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, UK; Discovery Safety, Drug Safety and Metabolism, AstraZeneca, Cambridge, UK
| | - Jeroen de Bont
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Joane Ferrand
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Inserm, CNRS, University Grenoble Alpes, Institute of Advanced Biosciences, Joint research center (U1209), La Tronche, Grenoble, France; CHU Grenoble Alpes, CIC Pédiatrique, Grenoble, France
| | | | | | | | - Hector Keun
- Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK
| | | | | | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, UK
| | - Pierre-Jean Saulnier
- Clinical Investigation Center CIC1402, Inserm, CHU Poitiers, School of Medicine, University of Poitiers, Poitiers, France
| | - Rémy Slama
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Inserm, CNRS, University Grenoble Alpes, Institute of Advanced Biosciences, Joint research center (U1209), La Tronche, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - José Urquiza
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - John Wright
- Bradford Institute for Health Research, Bradford, UK
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Spain
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Maitre L, Robinson O, Martinez D, Toledano MB, Ibarluzea J, Marina LS, Sunyer J, Villanueva CM, Keun HC, Vrijheid M, Coen M. Urine Metabolic Signatures of Multiple Environmental Pollutants in Pregnant Women: An Exposome Approach. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:13469-13480. [PMID: 30285427 DOI: 10.1021/acs.est.8b02215] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Exposure to environmental pollutants, particularly during pregnancy, can have adverse consequences on child development but little is known about the effects of pollutant mixtures on endogenous metabolism in pregnant women. We aimed to identify urinary metabolic signatures associated with low level exposure to multiple environmental pollutants in pregnant women from the INMA (INfancia y Medio Ambiente) birth cohort (Spain, N = 750). 35 chemical exposures were quantified in first trimester blood samples (organochlorine pesticides, PCBs, PFAS), in cord blood (mercury), and twice in urine at 12 and 32 weeks of pregnancy (metals, phthalates, bisphenol A). 1H nuclear magnetic resonance (NMR) metabolic profiles of urine were acquired in the same samples as pollutants. We explored associations between exposures and metabolism through an exposome-metabolome wide association scan and multivariate O2PLS modeling. Novel and reproducible associations were found across two periods of pregnancy for three nonpersistent pollutants and across two subcohorts for four of the persistent pollutants. We found novel metabolic signatures associated with arsenic exposure: TMAO and dimethylamine possibly related to gut microbial methylamine metabolism and homarine related to fish intake. Tobacco smoke exposure was related to coffee metabolism and PCBs with 3-hydroxyvaleric acid, usually released under ketoacidosis. These findings will have implications for further understanding of maternal-fetal health, and health across the life-course.
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Affiliation(s)
- Léa Maitre
- ISGlobal, Institute for Global Health , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona , Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
| | - Oliver Robinson
- ISGlobal, Institute for Global Health , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona , Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
- Medical Research Council-Public Health England (MRC-PHE) Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health , Imperial College London , London , U.K
| | - David Martinez
- ISGlobal, Institute for Global Health , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona , Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
| | - Mireille B Toledano
- Medical Research Council-Public Health England (MRC-PHE) Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health , Imperial College London , London , U.K
| | - Jesús Ibarluzea
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
- School of Psychology , University of the Basque Country UPV/EHU , San Sebastian , Basque Country Spain
- Biodonostia Health Research Institute , San Sebastian , Basque Country Spain
- Sub-Directorate for Public Health of Gipuzkoa, Department of Health , Government of the Basque Country , San Sebastian , Basque Country Spain
| | - Loreto Santa Marina
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
- Biodonostia Health Research Institute , San Sebastian , Basque Country Spain
- Sub-Directorate for Public Health of Gipuzkoa, Department of Health , Government of the Basque Country , San Sebastian , Basque Country Spain
| | - Jordi Sunyer
- ISGlobal, Institute for Global Health , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona , Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar) , Barcelona , Spain
| | - Cristina M Villanueva
- ISGlobal, Institute for Global Health , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona , Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar) , Barcelona , Spain
| | - Hector C Keun
- Division of Cancer, Department of Surgery & Cancer, Faculty of Medicine , Imperial College London , U.K
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health , Barcelona , Spain
- Universitat Pompeu Fabra (UPF) , Barcelona , Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid , Spain
| | - Muireann Coen
- Integrative Systems Medicine & Digestive Disease, Department of Surgery & Cancer, Faculty of Medicine , Imperial College London , U.K
- Oncology Safety, Drug Safety and Metabolism , IMED Biotech Unit, AstraZeneca, 1 Francis Crick Avenue , Cambridge CB2 0RE , U.K
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Bopp SK, Barouki R, Brack W, Dalla Costa S, Dorne JLCM, Drakvik PE, Faust M, Karjalainen TK, Kephalopoulos S, van Klaveren J, Kolossa-Gehring M, Kortenkamp A, Lebret E, Lettieri T, Nørager S, Rüegg J, Tarazona JV, Trier X, van de Water B, van Gils J, Bergman Å. Current EU research activities on combined exposure to multiple chemicals. ENVIRONMENT INTERNATIONAL 2018; 120:544-562. [PMID: 30170309 PMCID: PMC6192826 DOI: 10.1016/j.envint.2018.07.037] [Citation(s) in RCA: 146] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 07/25/2018] [Accepted: 07/26/2018] [Indexed: 05/20/2023]
Abstract
Humans and wildlife are exposed to an intractably large number of different combinations of chemicals via food, water, air, consumer products, and other media and sources. This raises concerns about their impact on public and environmental health. The risk assessment of chemicals for regulatory purposes mainly relies on the assessment of individual chemicals. If exposure to multiple chemicals is considered in a legislative framework, it is usually limited to chemicals falling within this framework and co-exposure to chemicals that are covered by a different regulatory framework is often neglected. Methodologies and guidance for assessing risks from combined exposure to multiple chemicals have been developed for different regulatory sectors, however, a harmonised, consistent approach for performing mixture risk assessments and management across different regulatory sectors is lacking. At the time of this publication, several EU research projects are running, funded by the current European Research and Innovation Programme Horizon 2020 or the Seventh Framework Programme. They aim at addressing knowledge gaps and developing methodologies to better assess chemical mixtures, by generating and making available internal and external exposure data, developing models for exposure assessment, developing tools for in silico and in vitro effect assessment to be applied in a tiered framework and for grouping of chemicals, as well as developing joint epidemiological-toxicological approaches for mixture risk assessment and for prioritising mixtures of concern. The projects EDC-MixRisk, EuroMix, EUToxRisk, HBM4EU and SOLUTIONS have started an exchange between the consortia, European Commission Services and EU Agencies, in order to identify where new methodologies have become available and where remaining gaps need to be further addressed. This paper maps how the different projects contribute to the data needs and assessment methodologies and identifies remaining challenges to be further addressed for the assessment of chemical mixtures.
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Key Words
- ao, adverse outcome
- aop, adverse outcome pathway
- bmd, benchmark dose modelling
- bqe, biological quality element
- ca, concentration addition
- cag, cumulative assessment group
- cmep, chemical monitoring and emerging pollutants
- cra, cumulative risk assessment
- dart, developmental and reproductive toxicity
- deb, dynamic energy budget
- ebt, effect-based tools
- edc, endocrine disrupting chemical
- eqs, environmental quality standard
- hbm, human biomonitoring
- ia, independent action
- iata, integrated approach to testing and assessment
- ipra, integrated probabilistic risk assessment
- ipsc, induced pluripotent stem cells
- loe, lines of evidence
- mcr, maximum cumulative ratio
- mcra, monte carlo risk assessment tool
- mec, measured exposure concentration
- moa, mode of action
- mra, mixture risk assessment
- msfd, marine strategy framework directive
- nam, new approach methodology
- pbtk, physiologically based toxicokinetic (model)
- pec, predicted exposure concentration
- pnec, predicted no effect concentration
- qsar, quantitative structure activity relationship
- rdt, repeated dose systemic toxicity
- tk, toxicokinetic
- smri, similar mixture risk indicator
- syrina, systematic review and integrated assessment
- ttc, threshold of toxicological concern
- wfd, water framework directive
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Affiliation(s)
- Stephanie K Bopp
- European Commission, Directorate General Joint Research Centre, Directorate F - Health, Consumers and Reference Materials, Ispra, Italy.
| | - Robert Barouki
- INSERM UMR-S 1124, Université Paris Descartes, Paris, France.
| | - Werner Brack
- Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany.
| | - Silvia Dalla Costa
- European Commission, Directorate General Joint Research Centre, Directorate B - Growth and Innovation, Ispra, Italy.
| | - Jean-Lou C M Dorne
- Scientific Committee and Emerging Risks Unit, European Food Safety Authority (EFSA), Parma, Italy.
| | - Paula E Drakvik
- Swetox, Karolinska Institutet, Unit of Toxicology Sciences, Södertälje, Sweden.
| | - Michael Faust
- Faust & Backhaus Environmental Consulting, Bremen, Germany.
| | - Tuomo K Karjalainen
- European Commission, Directorate General Research and Innovation, Directorate E - Health, Brussels, Belgium.
| | - Stylianos Kephalopoulos
- European Commission, Directorate General Joint Research Centre, Directorate F - Health, Consumers and Reference Materials, Ispra, Italy.
| | - Jacob van Klaveren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | | | - Andreas Kortenkamp
- Institute for Environment, Health and Societies, Brunel University, Uxbridge, United Kingdom.
| | - Erik Lebret
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands; Institute of Risk Assessment Sciences - IRAS, Utrecht University, Utrecht, the Netherlands.
| | - Teresa Lettieri
- European Commission, Directorate General Joint Research Centre, Directorate D - Sustainable Resources, Ispra, Italy.
| | - Sofie Nørager
- European Commission, Directorate General Research and Innovation, Directorate E - Health, Brussels, Belgium.
| | - Joëlle Rüegg
- Swetox, Karolinska Institutet, Unit of Toxicology Sciences, Södertälje, Sweden.
| | - Jose V Tarazona
- Pesticides Unit, European Food Safety Authority (EFSA), Parma, Italy.
| | - Xenia Trier
- European Environment Agency, Copenhagen, Denmark.
| | - Bob van de Water
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
| | | | - Åke Bergman
- Swetox, Karolinska Institutet, Unit of Toxicology Sciences, Södertälje, Sweden; School of Science and Technology, MTM, Örebro University, Örebro, Sweden.
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Klepac P, Locatelli I, Korošec S, Künzli N, Kukec A. Ambient air pollution and pregnancy outcomes: A comprehensive review and identification of environmental public health challenges. ENVIRONMENTAL RESEARCH 2018; 167:144-159. [PMID: 30014896 DOI: 10.1016/j.envres.2018.07.008] [Citation(s) in RCA: 207] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2018] [Revised: 07/03/2018] [Accepted: 07/04/2018] [Indexed: 05/19/2023]
Abstract
There is a growing number of studies on the association between ambient air pollution and adverse pregnancy outcomes, but their results have been inconsistent. Consequently, a comprehensive review of this research area is needed. There was a wide variability in studied pregnancy outcomes, observed gestational windows of exposure, observed ambient air pollutants, applied exposure assessment methods and statistical analysis methods Gestational duration, preterm birth, (low) birth weight, and small for gestational age/intrauterine growth restriction were most commonly investigated pregnancy outcomes. Gestational windows of exposure typically included were whole pregnancy period, 1st, 2nd, 3rd trimester, first and last gestational months. Preterm birth was the outcome most extensively studied across various gestational windows, especially at the beginning and at the end of pregnancy. Particulate matter, nitrogen dioxide, ozone, and carbon monoxide were the most commonly used markers of ambient air pollution. Continuous monitoring data were frequently combined with spatially more precisely modelled estimates of exposure. Exposure to particulate matter and ozone over the entire pregnancy was significantly associated with higher risk for preterm birth: the pooled effect estimates were 1.09 (1.03-1.16) per 10 μg/m3 increase in particulate matter with an aerodynamic diameter of 10 µm or less (PM10),1.24 (1.08-1.41) per 10 μg/m3 increase in particulate matter with an aerodynamic diameter of 2.5 µm or less (PM2.5), and 1.03 (1.01-1.04) per 10 ppb increase in ozone. For pregnancy outcomes other than PTB, ranges of observed effect estimates were reported due to smaller number of studies included in each gestational window of exposure. Further research is needed to link the routine pregnancy outcome data with spatially and temporally resolved ambient air pollution data, while adjusting for commonly defined confounders. Methods for assessing exposure to mixtures of pollutants, indoor air pollution exposure, and various other environmental exposures, need to be developed.
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Affiliation(s)
- Petra Klepac
- National institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia.
| | - Igor Locatelli
- University of Ljubljana, Faculty of Pharmacy, Aškerčeva 7, 1000 Ljubljana, Slovenia.
| | - Sara Korošec
- Department of Obstetrics and Gynecology, Reproductive Unit, University Medical Centre Ljubljana, Zaloška 3, 1525 Ljubljana, Slovenia.
| | - Nino Künzli
- Swiss Tropical and Public Health Institute (SwissTPH), Socinstrasse 57, 4002 Basel, Switzerland; University of Basel, Petersplatz 1, 4001 Basel, Switzerland.
| | - Andreja Kukec
- National institute of Public Health, Trubarjeva 2, 1000 Ljubljana, Slovenia; University of Ljubljana, Faculty of Medicine, Vrazov trg 2, 1000 Ljubljana, Slovenia.
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48
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Maitre L, de Bont J, Casas M, Robinson O, Aasvang GM, Agier L, Andrušaitytė S, Ballester F, Basagaña X, Borràs E, Brochot C, Bustamante M, Carracedo A, de Castro M, Dedele A, Donaire-Gonzalez D, Estivill X, Evandt J, Fossati S, Giorgis-Allemand L, R Gonzalez J, Granum B, Grazuleviciene R, Bjerve Gützkow K, Småstuen Haug L, Hernandez-Ferrer C, Heude B, Ibarluzea J, Julvez J, Karachaliou M, Keun HC, Hjertager Krog N, Lau CHE, Leventakou V, Lyon-Caen S, Manzano C, Mason D, McEachan R, Meltzer HM, Petraviciene I, Quentin J, Roumeliotaki T, Sabido E, Saulnier PJ, Siskos AP, Siroux V, Sunyer J, Tamayo I, Urquiza J, Vafeiadi M, van Gent D, Vives-Usano M, Waiblinger D, Warembourg C, Chatzi L, Coen M, van den Hazel P, Nieuwenhuijsen MJ, Slama R, Thomsen C, Wright J, Vrijheid M. Human Early Life Exposome (HELIX) study: a European population-based exposome cohort. BMJ Open 2018; 8:e021311. [PMID: 30206078 PMCID: PMC6144482 DOI: 10.1136/bmjopen-2017-021311] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 07/02/2018] [Accepted: 07/17/2018] [Indexed: 01/04/2023] Open
Abstract
PURPOSE Essential to exposome research is the collection of data on many environmental exposures from different domains in the same subjects. The aim of the Human Early Life Exposome (HELIX) study was to measure and describe multiple environmental exposures during early life (pregnancy and childhood) in a prospective cohort and associate these exposures with molecular omics signatures and child health outcomes. Here, we describe recruitment, measurements available and baseline data of the HELIX study populations. PARTICIPANTS The HELIX study represents a collaborative project across six established and ongoing longitudinal population-based birth cohort studies in six European countries (France, Greece, Lithuania, Norway, Spain and the UK). HELIX used a multilevel study design with the entire study population totalling 31 472 mother-child pairs, recruited during pregnancy, in the six existing cohorts (first level); a subcohort of 1301 mother-child pairs where biomarkers, omics signatures and child health outcomes were measured at age 6-11 years (second level) and repeat-sampling panel studies with around 150 children and 150 pregnant women aimed at collecting personal exposure data (third level). FINDINGS TO DATE Cohort data include urban environment, hazardous substances and lifestyle-related exposures for women during pregnancy and their offspring from birth until 6-11 years. Common, standardised protocols were used to collect biological samples, measure exposure biomarkers and omics signatures and assess child health across the six cohorts. Baseline data of the cohort show substantial variation in health outcomes and determinants between the six countries, for example, in family affluence levels, tobacco smoking, physical activity, dietary habits and prevalence of childhood obesity, asthma, allergies and attention deficit hyperactivity disorder. FUTURE PLANS HELIX study results will inform on the early life exposome and its association with molecular omics signatures and child health outcomes. Cohort data are accessible for future research involving researchers external to the project.
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Affiliation(s)
- Léa Maitre
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Jeroen de Bont
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Maribel Casas
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Oliver Robinson
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
| | | | - Lydiane Agier
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | - Sandra Andrušaitytė
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Ferran Ballester
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Nursing School, Universitat de València, Valencia, Spain
- FISABIO–Universitat Jaume I–Universitat de València Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Xavier Basagaña
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Eva Borràs
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Céline Brochot
- Unité Modèles pour l’Ecotoxicologie et la Toxicologie (METO), Institut National de l’Environnement Industriel et des Risques (INERIS), Verneuil en Halatte, France
| | - Mariona Bustamante
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Angel Carracedo
- Fundación Pública Galega de Medicina Xenómica (SERGAS), Santiago, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Universidad de Santiago de Compostela, Santiago, Spain
| | - Montserrat de Castro
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Audrius Dedele
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - David Donaire-Gonzalez
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Xavier Estivill
- Research Department, Sidra Medicine, Doha, Qatar
- Genomics Unit, Dexeus Woman’s Health, Barcelona, Spain
| | | | - Serena Fossati
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Lise Giorgis-Allemand
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | - Juan R Gonzalez
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Berit Granum
- Norwegian Institute of Public Health, Oslo, Norway
| | | | | | | | - Carles Hernandez-Ferrer
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Barbara Heude
- Inserm UMR 1153—Centre de Recherche Epidémiologie et Biostatistique Sorbonne Paris Cité (CRESS), Equipe de recherche sur les origines précoces de la santé et du développement de l’enfant (ORCHAD), Villejuif, France
| | - Jesus Ibarluzea
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- School of Psychology, University of the Basque Country UPV/EHU, San Sebastian, Spain
- Biodonostia Health Research Institute, San Sebastian, Spain
- Department of Health, Public Health of Gipuzkoa, Government of the Basque Country, San Sebastian, Spain
| | - Jordi Julvez
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
| | - Marianna Karachaliou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Hector C Keun
- Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | | | - Chung-Ho E Lau
- Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
- Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Vasiliki Leventakou
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Sarah Lyon-Caen
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | - Cyntia Manzano
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Dan Mason
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | | | - Inga Petraviciene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania
| | - Joane Quentin
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | | | - Pierre-Jean Saulnier
- Centre d’Investigation Clinique CIC1402, Inserm, Université de Poitiers, CHU Poitiers, Poitiers, France
| | - Alexandros P Siskos
- Division of Cancer, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Valérie Siroux
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | - Jordi Sunyer
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
| | - Ibon Tamayo
- ISGlobal, Institute for Global Health, Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Department of Statistics, Faculty of Arts and Sciences, Harvard University, Cambridge, Massachusetts, USA
| | - Jose Urquiza
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Diana van Gent
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Marta Vives-Usano
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Dagmar Waiblinger
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Charline Warembourg
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Department of Genetics and Cell Biology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Muireann Coen
- Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Peter van den Hazel
- Veiligheids- en Gezondheidsregio Gelderland Midden (VGGM), Arnhem, The Netherlands
| | - Mark J Nieuwenhuijsen
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Rémy Slama
- Team of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, CNRS, Grenoble, France
| | | | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Martine Vrijheid
- ISGlobal, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
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49
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Kalloo G, Wellenius GA, McCandless L, Calafat AM, Sjodin A, Karagas M, Chen A, Yolton K, Lanphear BP, Braun JM. Profiles and Predictors of Environmental Chemical Mixture Exposure among Pregnant Women: The Health Outcomes and Measures of the Environment Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:10104-10113. [PMID: 30088764 PMCID: PMC10105973 DOI: 10.1021/acs.est.8b02946] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Pregnant women are exposed to numerous environmental chemicals, but there is limited understanding of chemical mixture exposure profiles and predictors. In a prospective cohort of 389 pregnant women from Cincinnati, OH, we used biomarkers to estimate exposure to 41 phenols, phthalates, metals, organophosphate/pyrethroid/organochlorine pesticides, polychlorinated biphenyls, polybrominated diphenyl ethers, perfluoroalkyl substances, and environmental tobacco smoke. Using pairwise correlations, k-means clustering, and principal component analysis (PCA), we identified several profiles of chemical exposure. Chemicals within structurally, commercially, or industrially related chemical classes (e.g., phthalates) were moderate to strongly correlated compared to unrelated chemicals (e.g., pyrethroid pesticides and environmental tobacco smoke). Using k-means clustering and PCA, we identified 3 clusters of women ( N = 106, 158, and 125) and 6 PC scores, respectively, that characterized profiles of cumulative chemical exposure. The first two PC scores significantly varied by cluster, indicating that some of these profiles could be identified using both methods. Cluster membership and PCA scores were associated with race, marital status, consumption of fresh fruits and vegetables, and parity. Future work could use clusters and PCA scores to characterize environmental chemical mixture exposures in other cohorts of pregnant women and predict potential health effects of environmental chemical mixture exposure.
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Affiliation(s)
- Geetika Kalloo
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States
- Corresponding Author: Geetika Kalloo. Tel: +1 (401) 863-5397;
| | - Gregory A. Wellenius
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States
| | - Lawrence McCandless
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
| | - Antonia M. Calafat
- Centers for Disease Control and Prevention, Atlanta, Georgia 30333, United States
| | - Andreas Sjodin
- Centers for Disease Control and Prevention, Atlanta, Georgia 30333, United States
| | - Margaret Karagas
- Department of Epidemiology, Dartmouth College, Hanover, New Hampshire 03755, United States
| | - Aimin Chen
- Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio 45267, United States
| | - Kimberly Yolton
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, College of Medicine, University of Cincinnati, Cincinnati, Ohio 45229, United States
| | - Bruce P. Lanphear
- Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
- Child and Family Research Institute, BC Children’s and Women’s Hospital, Vancouver, BC, Canada Faculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia V5Z 4H4, Canada
| | - Joseph M. Braun
- Department of Epidemiology, Brown University, Providence, Rhode Island 02912, United States
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50
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Robinson O, Tamayo I, de Castro M, Valentin A, Giorgis-Allemand L, Hjertager Krog N, Marit Aasvang G, Ambros A, Ballester F, Bird P, Chatzi L, Cirach M, Dėdelė A, Donaire-Gonzalez D, Gražuleviciene R, Iakovidis M, Ibarluzea J, Kampouri M, Lepeule J, Maitre L, McEachan R, Oftedal B, Siroux V, Slama R, Stephanou EG, Sunyer J, Urquiza J, Vegard Weyde K, Wright J, Vrijheid M, Nieuwenhuijsen M, Basagaña X. The Urban Exposome during Pregnancy and Its Socioeconomic Determinants. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:077005. [PMID: 30024382 PMCID: PMC6108870 DOI: 10.1289/ehp2862] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 05/31/2018] [Accepted: 06/03/2018] [Indexed: 05/15/2023]
Abstract
BACKGROUND The urban exposome is the set of environmental factors that are experienced in the outdoor urban environment and that may influence child development. OBJECTIVE The authors' goal was to describe the urban exposome among European pregnant women and understand its socioeconomic determinants. METHODS Using geographic information systems, remote sensing and spatio-temporal modeling we estimated exposure during pregnancy to 28 environmental indicators in almost 30,000 women from six population-based birth cohorts, in nine urban areas from across Europe. Exposures included meteorological factors, air pollutants, traffic noise, traffic indicators, natural space, the built environment, public transport, facilities, and walkability. Socioeconomic position (SEP), assessed at both the area and individual level, was related to the exposome through an exposome-wide association study and principal component (PC) analysis. RESULTS Mean±standard deviation (SD) NO2 levels ranged from 13.6±5.1 μg/m3 (in Heraklion, Crete) to 43.2±11 μg/m3 (in Sabadell, Spain), mean±SD walkability score ranged from 0.22±0.04 (Kaunas, Lithuania) to 0.32±0.07 (Valencia, Spain) and mean±SD Normalized Difference Vegetation Index ranged from 0.21±0.05 in Heraklion to 0.51±0.1 in Oslo, Norway. Four PCs explained more than half of variation in the urban exposome. There was considerable heterogeneity in social patterning of the urban exposome across cities. For example, high-SEP (based on family education) women lived in greener, less noisy, and less polluted areas in Bradford, UK (0.39 higher PC1 score, 95% confidence interval (CI): 0.31, 0.47), but the reverse was observed in Oslo (-0.57 PC1 score, 95% CI: -0.73, -0.41). For most cities, effects were stronger when SEP was assessed at the area level: In Bradford, women living in high SEP areas had a 1.34 higher average PC1 score (95% CI: 1.21, 1.48). CONCLUSIONS The urban exposome showed considerable variability across Europe. Pregnant women of low SEP were exposed to higher levels of environmental hazards in some cities, but not others, which may contribute to inequities in child health and development. https://doi.org/10.1289/EHP2862.
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Affiliation(s)
- Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, UK
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ibon Tamayo
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Montserrat de Castro
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Antonia Valentin
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Lise Giorgis-Allemand
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institut national de la santé et de la recherche médicale (Inserm), Institute for Advanced Biosciences (IAB), Inserm, CNRS, University Grenoble-Alpes, Grenoble, France
| | | | | | - Albert Ambros
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Ferran Ballester
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO–Universitat Jaume I–Universitat de Valencia, Valencia, Spain
| | - Pippa Bird
- Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), Bradford Institute for Health Research, Bradford, UK
| | - Leda Chatzi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Department of Genetics & Cell Biology, Faculty of Health, Medicine, and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Marta Cirach
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Audrius Dėdelė
- Department of Environmental Sciences, Vytautas Magnus University, Kaunus, Lithuania
| | - David Donaire-Gonzalez
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Minas Iakovidis
- Environmental Chemical Processes Laboratory (ECPL), Chemistry Department, University of Crete, Heraklion, Crete, Greece
| | - Jesus Ibarluzea
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Health Research Institute (BIODONOSTIA), San Sebastian, Spain
- School of Psychology, University of the Basque Country, San Sebastián, Spain
- Public Health Department, Basque Government, San Sebastián, Spain
| | - Mariza Kampouri
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Johanna Lepeule
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institut national de la santé et de la recherche médicale (Inserm), Institute for Advanced Biosciences (IAB), Inserm, CNRS, University Grenoble-Alpes, Grenoble, France
| | - Léa Maitre
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Rosie McEachan
- Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), Bradford Institute for Health Research, Bradford, UK
| | - Bente Oftedal
- Norwegian Institute of Public Health (NIPH), Oslo, Norway
| | - Valerie Siroux
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institut national de la santé et de la recherche médicale (Inserm), Institute for Advanced Biosciences (IAB), Inserm, CNRS, University Grenoble-Alpes, Grenoble, France
| | - Remy Slama
- Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, Institut national de la santé et de la recherche médicale (Inserm), Institute for Advanced Biosciences (IAB), Inserm, CNRS, University Grenoble-Alpes, Grenoble, France
| | - Euripides G Stephanou
- Environmental Chemical Processes Laboratory (ECPL), Chemistry Department, University of Crete, Heraklion, Crete, Greece
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Jose Urquiza
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - John Wright
- Bradford Teaching Hospitals NHS Foundation Trust (BTHFT), Bradford Institute for Health Research, Bradford, UK
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Xavier Basagaña
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
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