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Journal articles on the topic 'Exposomics'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Neagu, Anca-Narcisa, Taniya Jayaweera, Lilian Corrice, Kaya Johnson, and Costel Darie. "Breast Cancer Exposomics." Life 14, no. 3 (2024): 402. http://dx.doi.org/10.3390/life14030402.

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We are exposed to a mixture of environmental man-made and natural xenobiotics. We experience a wide spectrum of environmental exposure in our lifetime, including the effects of xenobiotics on gametogenesis and gametes that undergo fertilization as the starting point of individual development and, moreover, in utero exposure, which can itself cause the first somatic or germline mutation necessary for breast cancer (BC) initiation. Most xenobiotics are metabolized or/and bioaccumulate and biomagnify in our tissues and cells, including breast tissues, so the xenobiotic metabolism plays an importa

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2

Miller, Gary W., L. Michelle Bennett, David Balshaw, et al. "Integrating exposomics into biomedicine." Science 388, no. 6745 (2025): 356–58. https://doi.org/10.1126/science.adr0544.

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3

Casella, V., M. Franzini, M. T. Rocca, et al. "CUSTOMIZED WEBGIS SOLUTIONS FOR EXPOSOMICS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1431–38. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1431-2020.

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Abstract. Exposomics is a science aiming at quantifying the effects on human health of all the factors influencing it, but genetic ones. They include environment, food, mobility habits and cultural factors. The percentage of the world’s population living in the urban areas is projected to increase in the next decades. Rising industrialization, urbanization and heterogeneity are leading to new challenges for public health and quality of life in the population. The prevalence of conditions such as asthma and cardiovascular diseases is increasing due to a change in lifestyle and air quality. This

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4

Turner, Michelle C., Paolo Vineis, Eduardo Seleiro, et al. "EXPOsOMICS: final policy workshop and stakeholder consultation." BMC Public Health 18, no. 1 (2018): 260. https://doi.org/10.1186/s12889-018-5160-z.

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<strong>Abstract: </strong>The final meeting of the EXPOsOMICS project "Final Policy Workshop and Stakeholder Consultation" took place 28–29 March 2017 to present the main results of the project and discuss their implications both for future research and for regulatory and policy activities. This paper summarizes presentations and discussions at the meeting related with the main results and advances in exposome research achieved through the EXPOsOMICS project; on other parallel research initiatives on the study of the exposome in Europe and in the United States and their complementarity to EXP

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5

Chen, Minjian. "Environmental Chemical Exposomics and Metabolomics in Toxicology: The Latest Updates." Toxics 12, no. 9 (2024): 647. http://dx.doi.org/10.3390/toxics12090647.

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6

Choi, Hyunok, Mark T. McAuley, and David A. Lawrence. "Prenatal exposures and exposomics of asthma." AIMS Environmental Science 2, no. 1 (2015): 87–109. http://dx.doi.org/10.3934/environsci.2015.1.87.

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7

Lein, Pamela J. "Exposomics: A shift in biomedical research with potential to improve human health." Open Access Government 44, no. 1 (2024): 120–21. http://dx.doi.org/10.56367/oag-044-10177.

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Exposomics: A shift in biomedical research with potential to improve human health Recent advances in exposomics offer an exciting opportunity to comprehensively catalog human exposures and link them to biological responses determining health and disease. Pamela J. Lein, Ph.D. from the University of California, tells us more. The sequencing of the human genome was heralded as a major scientific achievement that would revolutionize medicine by identifying genetic causes of disease, which could then be cured using gene therapy. However, while genomic research has identified numerous genetic varia

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8

Jobst, Karl J., and Krystal Godri Pollitt. "Editorial overview: Exposomics, emerging exposures and analytical challenges." Current Opinion in Environmental Science & Health 15 (June 2020): A1—A3. http://dx.doi.org/10.1016/j.coesh.2020.08.001.

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9

Cooke, Marcus S., Chiung-Wen Hu, Yuan-Jhe Chang, and Mu-Rong Chao. "Urinary DNA adductomics – A novel approach for exposomics." Environment International 121 (December 2018): 1033–38. http://dx.doi.org/10.1016/j.envint.2018.10.041.

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10

Fan, Jung-wei, Jianrong Li, and Yves A. Lussier. "Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context." Journal of Healthcare Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/3818302.

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Exposome is a critical dimension in the precision medicine paradigm. Effective representation of exposomics knowledge is instrumental to melding nongenetic factors into data analytics for clinical research. There is still limited work in (1) modeling exposome entities and relations with proper integration to mainstream ontologies and (2) systematically studying their presence in clinical context. Through selected ontological relations, we developed a template-driven approach to identifying exposome concepts from the Unified Medical Language System (UMLS). The derived concepts were evaluated in

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11

Bourganou, Maria V., Maria Eleni Chondrogianni, Ioannis Kyrou, et al. "Unraveling Metabolic Dysfunction-Associated Steatotic Liver Disease Through the Use of Omics Technologies." International Journal of Molecular Sciences 26, no. 4 (2025): 1589. https://doi.org/10.3390/ijms26041589.

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Non-alcoholic fatty liver disease (NAFLD), now referred to as metabolic dysfunction-associated steatotic liver disease (MASLD), is the most prevalent liver disorder globally, linked to obesity, type 2 diabetes, and cardiovascular risk. Understanding its potential progression from simple steatosis to cirrhosis and hepatocellular carcinoma (HCC) is crucial for patient management and treatment strategies. The disease’s complexity requires innovative approaches for early detection and personalized care. Omics technologies—such as genomics, transcriptomics, proteomics, metabolomics, and exposomics—

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12

Spagnoli, Mariangela, Giovanna Tranfo, Ottavia Giampaoli, Fabio Sciubba, Michele De Rosa, and Adriano Patriarca. "P-367 NMR-BASED METABOLOMICS: NOVEL APPLICATION IN EXPOSOMICS." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.0984.

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Abstract Introduction Metabolomics studies the end products of biological processes ocurring in living systems, based on the quantification of low molecular weight molecules in a specific biofluid to evaluate the changes in metabolism due to endogenous and/or exogenous stimuli. Nuclear magnetic resonance (NMR) has proven to be a very valuable analytical platform for its ability to quali-quantitatively characterize complex mixtures with minimal pretreatment and can be applied in the field of occupational medicine. Methods Urine samples of exposed workers and healthy non-exposed volunteers were

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13

Vineis, P., M. Chadeau-Hyam, H. Gmuender, et al. "The exposome in practice: Design of the EXPOsOMICS project." International Journal of Hygiene and Environmental Health 220, no. 2 (2017): 142–51. http://dx.doi.org/10.1016/j.ijheh.2016.08.001.

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14

Schramm, Karl-Werner, Jingxian Wang, Yonghong Bi, et al. "Chemical- and effect-oriented exposomics: Three Gorges Reservoir (TGR)." Environmental Science and Pollution Research 20, no. 10 (2012): 7057–62. http://dx.doi.org/10.1007/s11356-012-1319-9.

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15

Smith, Martyn T., Rosemarie de la Rosa, and Sarah I. Daniels. "Using exposomics to assess cumulative risks and promote health." Environmental and Molecular Mutagenesis 56, no. 9 (2015): 715–23. http://dx.doi.org/10.1002/em.21985.

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16

Pang, Zhiqiang, Charles Viau, Julius N. Fobil, Niladri Basu, and Jianguo Xia. "Comprehensive Blood Metabolome and Exposome Analysis, Annotation, and Interpretation in E-Waste Workers." Metabolites 14, no. 12 (2024): 671. https://doi.org/10.3390/metabo14120671.

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Background: Electronic and electrical waste (e-waste) production has emerged to be of global environmental public health concern. E-waste workers, who are frequently exposed to hazardous chemicals through occupational activities, face considerable health risks. Methods: To investigate the metabolic and exposomic changes in these workers, we analyzed whole blood samples from 100 male e-waste workers and 49 controls from the GEOHealth II project (2017–2018 in Accra, Ghana) using LC-MS/MS. A specialized computational workflow was established for exposomics data analysis, incorporating two curated

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17

McKeon, Thomas P., Vicky Tam, Wei-Ting Hwang, Paul Wileyto, Karen Glanz, and Trevor M. Penning. "Abstract PR06: Geocoding and integrating multiple environmental exposomics sources: Assessing population hazard to lung carcinogens in 421 zip codes of a cancer center catchment area." Cancer Epidemiology, Biomarkers & Prevention 29, no. 9_Supplement (2020): PR06. http://dx.doi.org/10.1158/1538-7755.modpop19-pr06.

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Abstract To assess risk factors that contribute to lung cancer burden in the Abramson Cancer Center (ACC) catchment area, we integrated geospatial data of exposure to pollutants from publicly available EPA and NASA datasets. The study area covers the 421 zip codes that make up the 12 counties of the catchment area from which most of the ACC patients come. The counties include 5 that surround Philadelphia, 6 in New Jersey, and 1 in Delaware. Environmental exposure data, sourced from US-EPA Air Quality System (AQS) Data Mart, were focused on air pollutants since air pollution is recognized by th

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18

Pero-Gascon, Roger, Lieselot Y. Hemeryck, Giulia Poma, et al. "FLEXiGUT: Rationale for exposomics associations with chronic low-grade gut inflammation." Environment International 158 (January 2022): 106906. http://dx.doi.org/10.1016/j.envint.2021.106906.

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19

Wood, Katie, Nikhita Damaraju, Callan Krevanko, et al. "Exposomics in practice: Multidisciplinary perspectives on environmental health and risk assessment." Integrated Environmental Assessment and Management 20, no. 3 (2024): 891–93. http://dx.doi.org/10.1002/ieam.4926.

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20

Ljoncheva, Milka, Tomaž Stepišnik, Sašo Džeroski, and Tina Kosjek. "Cheminformatics in MS-based environmental exposomics: Current achievements and future directions." Trends in Environmental Analytical Chemistry 28 (December 2020): e00099. http://dx.doi.org/10.1016/j.teac.2020.e00099.

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21

Holland, Nina. "Future of environmental research in the age of epigenomics and exposomics." Reviews on Environmental Health 32, no. 1-2 (2017): 45–54. http://dx.doi.org/10.1515/reveh-2016-0032.

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Abstract Environmental research and public health in the 21st century face serious challenges such as increased air pollution and global warming, widespread use of potentially harmful chemicals including pesticides, plasticizers, and other endocrine disruptors, and radical changes in nutrition and lifestyle typical of modern societies. In particular, exposure to environmental and occupational toxicants may contribute to the occurrence of adverse birth outcomes, neurodevelopmental deficits, and increased risk of cancer and other multifactorial diseases such as diabetes and asthma. Rapidly evolv

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22

Petrick, Lauren M., and Noam Shomron. "AI/ML-driven advances in untargeted metabolomics and exposomics for biomedical applications." Cell Reports Physical Science 3, no. 7 (2022): 100978. http://dx.doi.org/10.1016/j.xcrp.2022.100978.

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23

Katemauswa, Mitchelle, Ekram Hossain, Zongyuan Liu, et al. "Enabling Quantitative Analysis of Surface Small Molecules for Exposomics and Behavioral Studies." Journal of the American Society for Mass Spectrometry 33, no. 3 (2022): 412–19. http://dx.doi.org/10.1021/jasms.1c00263.

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24

Canali, Stefano. "Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS." Big Data & Society 3, no. 2 (2016): 205395171666953. http://dx.doi.org/10.1177/2053951716669530.

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25

Stem, A., C. Roncal, R. Johnson, and J. Brown. "P06-05 Exposomics analysis of agricultural workers at risk for Mesoamerican nephropathy." Toxicology Letters 399 (September 2024): S153. http://dx.doi.org/10.1016/j.toxlet.2024.07.389.

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26

Coughlin, S. S., and A. Dawson. "Ethical, Legal and Social Issues in Exposomics: A Call for Research Investment." Public Health Ethics 7, no. 3 (2014): 207–10. http://dx.doi.org/10.1093/phe/phu031.

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27

Barupal, Dinesh Kumar, Priyanka Mahajan, Sadjad Fakouri-Baygi, Robert O. Wright, Manish Arora, and Susan L. Teitelbaum. "CCDB: A database for exploring inter-chemical correlations in metabolomics and exposomics datasets." Environment International 164 (June 2022): 107240. http://dx.doi.org/10.1016/j.envint.2022.107240.

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28

Holden, Emily. "Understanding the importance of exposomics in everyday life: an interview with Emily Holden." Future Science OA 6, no. 10 (2020): FSO621. http://dx.doi.org/10.2144/fsoa-2020-0125.

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29

Misra, Biswapriya B. "Metabolomics Tools to Study Links Between Pollution and Human Health: an Exposomics Perspective." Current Pollution Reports 5, no. 3 (2019): 93–111. http://dx.doi.org/10.1007/s40726-019-00109-4.

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30

Pala, D., L. Annovazzi-Lodi, R. Bellazzi, et al. "THE KEY ROLE OF GEOGRAPHIC INFORMATION IN EXPOSOMICS: THE EXAMPLE OF THE H2020 PULSE PROJECT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 24, 2020): 283–89. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-283-2020.

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Abstract. Exposomics is a novel concept that indicates the combination of all the external factors we are exposed to throughout our entire life, as the environment we live in, our lifestyle and behavior are able to have a notable influence on our health. The quantity and typology of environmental factors we are exposed to are clearly dependent on the geographical location of each individual, e.g. some areas are more polluted that others and even the social characteristics of a certain place can have an effect on the way we behave, exposing us to different levels of risk of developing certain d

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31

Marín-Sáez, Jesús, Maykel Hernández-Mesa, Germán Cano-Sancho, and Ana M. García-Campaña. "Analytical challenges and opportunities in the study of endocrine disrupting chemicals within an exposomics framework." Talanta 279 (November 2024): 126616. http://dx.doi.org/10.1016/j.talanta.2024.126616.

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32

Jamin, Emilien L., Nathalie Bonvallot, Marie Tremblay-Franco, et al. "Untargeted profiling of pesticide metabolites by LC–HRMS: an exposomics tool for human exposure evaluation." Analytical and Bioanalytical Chemistry 406, no. 4 (2013): 1149–61. http://dx.doi.org/10.1007/s00216-013-7136-2.

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33

Milman, B. L., and I. К. Zhurkovich. "DOMAIN DELINEATION OF AN EMERGING FIELD OF INTERDISCIPLINARY RESEARCH BY SCIENTOMETRICS. THE EXAMPLE OF EXPOSOMICS." Научно-техническая информация Серия 2 Информационные процессы и системы, no. 3 (2023): 20–26. http://dx.doi.org/10.36535/0548-0027-2023-03-3.

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34

Stanciu, Ana Ruxandra, Claire Gillespie, and Philip Britz-McKibbin. "Environmental Exposures and Health Risks: A Metabolomics Perspective on Exposomics Research." Annual Review of Analytical Chemistry, February 10, 2025. https://doi.org/10.1146/annurev-anchem-071524-125307.

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Exposomics refers to the comprehensive analysis of environmental exposures over the lifespan and assessment of their biological effects on human health. This new frontier in environmental research promises new insights for assessment of the hazards of complex chemical exposures as compared to targeted biomonitoring of a limited panel of known toxicant(s). Metabolomics plays a pivotal role in expanding exposomic initiatives that require orthogonal separation methods coupled to high-resolution mass spectrometry while using minimally invasive specimens from prospective cohort studies that can cap

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35

Schmitt, Charles P., Jeanette A. Stingone, Arcot Rajasekar, et al. "A roadmap to advance exposomics through federation of data." Exposome, November 14, 2023. http://dx.doi.org/10.1093/exposome/osad010.

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Abstract The scale of the human exposome, which covers all environmental exposures encountered from conception to death, presents major challenges in managing, sharing, and integrating a myriad of relevant data types and available data sets for the benefit of exposomics research and public health. By addressing these challenges, the exposomics research community will be able to greatly expand on its ability to aggregate study data for new discoveries, construct and update novel exposomics data sets for building artificial intelligence and machine learning-based models, rapidly survey emerging

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36

Chang, Le, Jessica Ewald, Fiona Hui, Stéphane Bayen, and Jianguo Xia. "A Data-Centric perspective on exposomics data analysis." Exposome, April 24, 2024. http://dx.doi.org/10.1093/exposome/osae005.

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Abstract Exposomics represents a systematic approach to investigate the etiology of diseases by formally integrating individuals’ entire environmental exposures and associated biological responses into the traditional genotype-phenotype framework. The field is largely enabled by various omics technologies which offer practical means to comprehensively measure key components in exposomics. The bottleneck in exposomics has gradually shifted from data collection to data analysis. Effective and easy-to-use bioinformatics tools and computational workflows are urgently needed to help obtain robust a

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37

Miller, Gary W. "Exposomics: perfection not required." Exposome 4, no. 1 (2024). http://dx.doi.org/10.1093/exposome/osae006.

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38

Aurich, Dagny, Aida Horaniet Ibanez, Christophe Hissler, et al. "Historical Exposomics: A Manifesto." Exposome, August 18, 2023. http://dx.doi.org/10.1093/exposome/osad007.

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Abstract The exposome complements information captured in the genome by covering all external influences and internal (biological) responses of a human being from conception onwards. Such a paradigm goes beyond a single scientific discipline and instead requires a truly interdisciplinary approach. The concept of “historical exposomics” could help bridge the gap between “nature” and “nurture” using both natural and social archives to capture the influence of humans on earth (the Anthropocene) in an interdisciplinary manner. The LuxTIME project served as a test bed for an interdisciplinary explo

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39

Baygi, Sadjad Fakouri, and Dinesh Kumar Barupal. "IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra." Journal of Cheminformatics 16, no. 1 (2024). http://dx.doi.org/10.1186/s13321-024-00804-5.

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AbstractThe majority of tandem mass spectrometry (MS/MS) spectra in untargeted metabolomics and exposomics studies lack any annotation. Our deep learning framework, Integrated Data Science Laboratory for Metabolomics and Exposomics—Mass INTerpreter (IDSL_MINT) can translate MS/MS spectra into molecular fingerprint descriptors. IDSL_MINT allows users to leverage the power of the transformer model for mass spectrometry data, similar to the large language models. Models are trained on user-provided reference MS/MS libraries via any customizable molecular fingerprint descriptors. IDSL_MINT was ben

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40

Miller, Gary W., Vrinda Kalia, Yunjia Lai, et al. "Exposomics for Characterization of Environmental Drivers of AD." Alzheimer's & Dementia 19, S23 (2023). http://dx.doi.org/10.1002/alz.077827.

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AbstractIn order to provide a comprehensive evaluation of the non‐genetic factors involved in the development of Alzheimer’s disease and related disorders it is necessary to develop a systematic process to capture the range of environmental and social influences. Exposomics has emerged as an approach to do this. Using high‐resolution mass spectrometry and geospatial techniques it is possible to evaluate thousands of external factors (chemical, nutritional, social, environmental) and their corresponding impact on biology. In this presentation, we will describe the steps we are taking to build t

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41

Sarigiannis, Dimosthenis, Spyros Karakitsios, Ourania Anesti, et al. "Advancing translational exposomics: bridging genome, exposome and personalized medicine." Human Genomics 19, no. 1 (2025). https://doi.org/10.1186/s40246-025-00761-6.

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Abstract Understanding the interplay between genetic predisposition and environmental and lifestyle exposures is essential for advancing precision medicine and public health. The exposome, defined as the sum of all environmental exposures an individual encounters throughout their lifetime, complements genomic data by elucidating how external and internal exposure factors influence health outcomes. This treatise highlights the emerging discipline of translational exposomics that integrates exposomics and genomics, offering a comprehensive approach to decipher the complex relationships between e

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42

Liu, Ken. "Chemical contact tracing for exposomics." Exposome 1, no. 1 (2021). http://dx.doi.org/10.1093/exposome/osac001.

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Abstract Human health and disease reflects a complex interplay between the genome and the exposome. High-resolution mass spectrometry (HRMS)-based metabolomics routinely measures thousands of endogenous, dietary and xenobiotic chemicals. However, confident identification of exposure-related chemicals remains a challenge as a significant portion of chemical signals detected in metabolomics analyses remains uncharacterized. Illuminating the “dark matter” of the exposome cannot be accomplished efficiently if the prevailing approach depends on the use of purified authentic standards that are not r

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43

Casella, V., M. Franzini, M. T. Rocca, et al. "CUSTOMIZED WEBGIS SOLUTIONS FOR EXPOSOMICS." August 22, 2020. https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1431-2020.

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Abstract. Exposomics is a science aiming at quantifying the effects on human health of all the factors influencing it, but genetic ones. They include environment, food, mobility habits and cultural factors. The percentage of the world's population living in the urban areas is projected to increase in the next decades. Rising industrialization, urbanization and heterogeneity are leading to new challenges for public health and quality of life in the population. The prevalence of conditions such as asthma and cardiovascular diseases is increasing due to a change in lifestyle and air quality. This

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44

Vitale, Chiara Maria, Elliott J. Price, Gary W. Miller, et al. "Analytical strategies for chemical exposomics: exploring limits and feasibility." Exposome, September 20, 2021. http://dx.doi.org/10.1093/exposome/osab003.

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Abstract Tackling the challenges of chemical exposomics will require the implementation of diverse analytical strategies and technological advancements. Herein, high-resolution mass spectrometry-based methods applied in current chemical exposome studies have been surveyed and are shown to be limited. Notably, liquid chromatography separations almost exclusively employ reversed-phase C18 columns using water-methanol gradients with formic acid additive, whilst gas chromatography is underexploited in the field at this stage. A systematic evaluation of strategies applied in related disciplines (i.

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45

Wan, Melissa, Elisabeth M. Simonin, Mary Margaret Johnson, et al. "Exposomics: a review of methodologies, applications, and future directions in molecular medicine." EMBO Molecular Medicine, January 27, 2025. https://doi.org/10.1038/s44321-025-00191-w.

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Abstract The exposome is the measure of all the exposures of an individual in a lifetime and how those exposures relate to health. Exposomics is the emerging field of research to measure and study the totality of the exposome. Exposomics can assist with molecular medicine by furthering our understanding of how the exposome influences cellular and molecular processes such as gene expression, epigenetic modifications, metabolic pathways, and immune responses. These molecular alterations can aid as biomarkers for the diagnosis, disease prediction, early detection, and treatment and offering new a

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46

Vineis, Paolo. "Exposomics: mathematics meets biology: Figure 1." Mutagenesis, September 14, 2015, gev068. http://dx.doi.org/10.1093/mutage/gev068.

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47

Paulesu, Luana Ricci, Siyu Chen, Cristina de Angelis, Caixia Guo, and Ning Shen. "Editorial: Environmental exposomics and metabolic disorders." Frontiers in Endocrinology 14 (October 4, 2023). http://dx.doi.org/10.3389/fendo.2023.1245239.

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48

Samieri, Cécilia, Sophie Lefèvre‐Arbogast, Jade Chaker, et al. "Research gaps and unmet challenges to study the impact of chemicals on neurodegenerative diseases." Alzheimer's & Dementia 20, S7 (2024). https://doi.org/10.1002/alz.087446.

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AbstractChemicals are ubiquitous in modern life. More than 100,000 chemicals are currently used worldwide, and the production continues to increase. Measuring with accuracy all the components of the chemical exposome represents a tremendous challenge which has been only very partly met so far, and gaps in science remain multiple. For example, there is a need for a comprehensive understanding of the chemical exposome’s impact on the brain, emphasizing the integration of various exposure routes and an expanded list of emerging concern chemicals. Biomonitoring, a relatively recent approach, has b

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49

Bucher, Meghan L., Faith L. Anderson, Yunjia Lai, Jocelyn Dicent, Gary W. Miller, and Ami R. Zota. "Exposomics as a tool to investigate differences in health and disease by sex and gender." Exposome, March 21, 2023. http://dx.doi.org/10.1093/exposome/osad003.

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Abstract The health and disease of an individual is mediated by their genetics, a lifetime of environmental exposures, and interactions between the two. Genetic or biological sex, including chromosome composition and hormone expression, may influence both the types and frequency of environmental exposures an individual experiences, as well as the biological responses an individual has to those exposures. Gender identity, which can be associated with social behaviors such as expressions of self, may also mediate the types and frequency of exposures an individual experiences. Recent advances in

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50

Stingone, Jeanette A., Andrew M. Geller, Darryl B. Hood, et al. "Community-level exposomics: A population-centered approach to address public health concerns." Exposome, November 16, 2023. http://dx.doi.org/10.1093/exposome/osad009.

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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 includ

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