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Journal articles on the topic 'Exposomics'

Author: Grafiati

Published: 25 May 2024

Last updated: 22 June 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 important role in BC initiation and progression. Many considerations necessitate a more valuable explanation regarding the molecular mechanisms of action of xenobiotics which act as genotoxic and epigenetic carcinogens. Thus, exposomics and the exposome concept are based on the diversity and range of exposures to physical factors, synthetic chemicals, dietary components, and psychosocial stressors, as well as their associated biologic processes and molecular pathways. Existing evidence for BC risk (BCR) suggests that food-borne chemical carcinogens, air pollution, ionizing radiation, and socioeconomic status are closely related to breast carcinogenesis. The aim of this review was to depict the dynamics and kinetics of several xenobiotics involved in BC development, emphasizing the role of new omics fields related to BC exposomics, such as environmental toxicogenomics, epigenomics and interactomics, metagenomics, nutrigenomics, nutriproteomics, and nutrimiRomics. We are mainly focused on food and nutrition, as well as endocrine-disrupting chemicals (EDCs), involved in BC development. Overall, cell and tissue accumulation and xenobiotic metabolism or biotransformation can lead to modifications in breast tissue composition and breast cell morphology, DNA damage and genomic instability, epimutations, RNA-mediated and extracellular vesicle effects, aberrant blood methylation, stimulation of epithelial–mesenchymal transition (EMT), disruption of cell–cell junctions, reorganization of the actin cytoskeleton, metabolic reprogramming, and overexpression of mesenchymal genes. Moreover, the metabolism of xenobiotics into BC cells impacts almost all known carcinogenic pathways. Conversely, in our food, there are many bioactive compounds with anti-cancer potential, exerting pro-apoptotic roles, inhibiting cell cycle progression and proliferation, migration, invasion, DNA damage, and cell stress conditions. We can conclude that exposomics has a high potential to demonstrate how environmental exposure to xenobiotics acts as a double-edged sword, promoting or suppressing tumorigenesis in BC.

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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 enlightens the necessity of targeted interventions to increase citizens’ quality of life and decrease their health risks. Within the EU H2020 PULSE project, a multi-technological system to assist the population in the prevention and treatment of asthma and type 2 diabetes has been developed. The system created in PULSE features several parts, such as a personal App for the citizens, a set of air quality sensors, a WebGIS and dashboards for the public health operators. Citizens are directly involved in an exchange paradigm in which they send their own data and receive feedbacks and suggestions about their health in return. The WebGIS is a very distinguishing element of the PULSE technology and the paper illustrates its main functionalities focusing on the distinguishing and innovative features developed.

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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 EXPOsOMICS; lessons learned from these early studies on the exposome and how they may shape the future of research on environmental exposure assessment; and finally the broader implications of exposome research for risk assessment and policy development on environmental exposures. The main results of EXPOsOMICS in relation to studies of the external exposome and internal exposome in relation to both air pollution and water contaminants were presented as well as new technologies for environmental health research (adductomics) and advances in statistical methods. Although exposome research strengthens the scientific basis for policy development, there is a need in terms of showing added value for public health to: improve communication of research results to non-scientific audiences; target research to the broader landscape of societal challenges; and draw applicable conclusions. Priorities for future work include the development and standardization of methodologies and technologies for assessing the external and internal exposome, improved data sharing and integration, and the demonstration of the added value of exposome science over conventional approaches in answering priority policy questions.

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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 variants in the human genome that confer risk for disease, it has become increasingly clear that only a small fraction of disease can be attributed solely to genetic causes. Indeed, genetic evidence indicates a critical role for diverse environmental factors in determining an individual’s health throughout their life.

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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 terms of literature coverage and the ability to assist in annotating clinical text. The generated semantic model represents rich domain knowledge about exposure events (454 pairs of relations between exposure and outcome). Additionally, a list of 5667 disorder concepts with microbial etiology was created for inferred pathogen exposures. The model consistently covered about 90% of PubMed literature on exposure-induced iatrogenic diseases over 10 years (2001–2010). The model contributed to the efficiency of exposome annotation in clinical text by filtering out 78% of irrelevant machine annotations. Analysis into 50 annotated discharge summaries helped advance our understanding of the exposome information in clinical text. This pilot study demonstrated feasibility of semiautomatically developing a useful semantic resource for exposomics.

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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—are revolutionizing the study of MASLD. These high-throughput techniques allow for a deeper exploration of the molecular mechanisms driving disease progression. Genomics can identify genetic predispositions, whilst transcriptomics and proteomics reveal changes in gene expression and protein profiles during disease evolution. Metabolomics offers insights into the metabolic alterations associated with MASLD, while exposomics links environmental exposures to MASLD progression and pathology. By integrating data from various omics platforms, researchers can map out the intricate biochemical pathways involved in liver disease progression. This review discusses the roles of omics technologies in enhancing the understanding of disease progression and highlights potential diagnostic and therapeutic targets within the MASLD spectrum, emphasizing the need for non-invasive tools in disease staging and treatment development.

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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 collected from different biolmonitoring campaigns and analyzed by nuclear magnetic resonance (NMR) spectroscopy with mono and bidimensional experiments Results About 40 metabolites, including amino acids, organic acids, aromatic compounds and alcohols, were identified and quantified. It was also possible to identify and quantify both metabolites and dose biomarkers such as mandelic and phenilglyossilc acids in case of styrene exposure. Discussion By comparing the urinary metabolites of exposed and non-exposed it is possible to observe quantitative differences validated by univariate and multivariate statistical analysis. These differences may be attributable to metabolic alterations at a subclinical level and therefore provide indications on potential variations to be followed over time to predict the onset of occupational disease. Conclusion The application of NMR metabolomic approach in occupational medicine evidence a characteristic metabolic profile by identyfing early biomarkers of effect and their involvement in the metabolic pathway.

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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 reference libraries for metabolome and exposome profiling. Two feature detection algorithms, asari and centWave, were applied. Results: In comparison to centWave, asari showed better sensitivity in detecting MS features, particularly at trace levels. Principal component analysis demonstrated distinct metabolic profiles between e-waste workers and controls, revealing significant disruptions in key metabolic pathways, including steroid hormone biosynthesis, drug metabolism, bile acid biosynthesis, vitamin metabolism, and prostaglandin biosynthesis. Correlation analyses linked metal exposures to alterations in hundreds to thousands of metabolic features. Functional enrichment analysis highlighted significant perturbations in pathways related to liver function, vitamin metabolism, linoleate metabolism, and dynorphin signaling, with the latter being observed for the first time in e-waste workers. Conclusions: This study provides new insights into the biological impact of prolonged metal exposure in e-waste workers.

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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 the International Agency on Cancer (IARC) as a Group 1 human carcinogen. Exposomics data included: hourly, daily, and annual (1980 -2018) PM2.5, PM10, NO2; Hazardous Air Pollutants (HAPS); Volatile Organic Compounds (VOCs); (Air Quality Index) AQI; NONOxNOy monitoring; and annual Toxic Release Inventory (TRI) air emissions by chemical classifier and point source (1987 -2017). Annual NASA satellite-derived grids were incorporated for PM2.5 (1998-2016; 1 km resolution) and NOx (1997 - 2012; 10 km resolution). ESRI’s ArcGIS was used to develop programming scripts to automate the process of data integration, geocoding, and classifying chemical parameters by (1) status as a lung carcinogen with sufficient evidence of lung carcinogenesis; (2) status as one of the priority 16 EPA polycyclic aromatic hydrocarbons, as a surrogate marker of exposure to carcinogens; (3) status in the IARC rankings for Cancer Group; (4) status as a component of diesel exhaust; and (5) status as a VOC. 1-km search radius kernel density grids were generated for each air pollutant. We sliced the density estimates into ordinal rankings ranging from “10 = high” to “1 = low.” A hazard index may be generated by summing data layers of cumulative environmental exposomics in a process called map algebra. Spatial sorting and merging of exposome releases by facility, year, chemical and zip code concentration allow for addressing “low-hanging fruit” through summary statistics. Although the focus of this investigation is on lung cancer, the utility of the methodology may be applied to probe exposures related to other cancers. Incorporating more years or larger geographic areas of study may make exploring the risk of exposure possible for less prevalent cancers. In future studies, we are conducting statistical analysis to determine whether geocoded exposure data predict lung cancer risks in those vulnerable zip codes using electronic health record data of geolocations of lung cancer patients. This novel approach will help determine whether geocoded exposomics data are associated with cancer incidence. The hazard index was used to identify zip codes that are the most vulnerable to carcinogen exposure. Zip codes 19720, 19061, 08066, 08027, 19153, and 19145 scored highest on the hazard index based on cumulative exposure. (Supported by P30-CA-016520 and P30-ES013508.) This abstract is also being presented as Poster A08. Citation Format: Thomas P. McKeon, Vicky Tam, Wei-Ting Hwang, Paul Wileyto, Karen Glanz, Trevor M. Penning. Geocoding and integrating multiple environmental exposomics sources: Assessing population hazard to lung carcinogens in 421 zip codes of a cancer center catchment area [abstract]. In: Proceedings of the AACR Special Conference on Modernizing Population Sciences in the Digital Age; 2019 Feb 19-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(9 Suppl):Abstract nr PR06.

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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 evolving methodologies of exposure assessment and the conceptual framework of the Exposome, first introduced in 2005, are new frontiers of environmental research. Metabolomics and adductomics provide remarkable opportunities for a better understanding of exposure and prediction of potential adverse health outcomes. Metabolomics, the study of metabolism at whole-body level, involves assessment of the total repertoire of small molecules present in a biological sample, shedding light on interactions between gene expression, protein expression, and the environment. Advances in genomics, transcriptomics, and epigenomics are generating multidimensional structures of biomarkers of effect and susceptibility, increasingly important for the understanding of molecular mechanisms and the emergence of personalized medicine. Epigenetic mechanisms, particularly DNA methylation and miRNA expression, attract increasing attention as potential links between the genetic and environmental determinants of health and disease. Unlike genetics, epigenetic mechanisms could be reversible and an understanding of their role may lead to better protection of susceptible populations and improved public health.

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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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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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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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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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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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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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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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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 diseases or exacerbating existing ones. In this context, the PULSE project, briefly described in this paper, is building an advanced system to identify the effect of a complex set of environmental and social exposures in the big cities, that represent the most complicated environment from this point of view, and mitigate health risk related to common diseases such as asthma, type 2 diabetes and cardiovascular diseases. This system is composed by several parts, most of which apply advanced spatial analytics and geographic information-based tools to estimate health risk in a precise way, providing both citizens and public health officers with tools to monitor it. This paper summarizes the work performed in the project using these analytics, and quickly describes some of the tools in which geographic information has been applied in the most innovative way.

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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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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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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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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 capture early life exposures. However, several grand analytical challenges remain, including high-throughput metabolomic data workflows that are scalable to large populations, the identification of unknown contaminants and their contact sources, and elucidating the impact of multiple co-exposures at critical stages of development. In this review, we outline new advances in metabolomic technologies for exposomics research over the past five years that are urgently needed to guide regulatory policies via better exposure mitigation and strategies to improve metabolic resilience.

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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 issues, and advance the application of data-driven science. The diversity of the field, which spans multiple subfields of science disciplines and different environmental contexts, necessitates adopting data federation approaches to bridge between numerous geographically and administratively separated data resources that have varying usage, privacy, access, analysis, and discoverability capabilities and constraints. This paper presents use cases, challenges, opportunities, and recommendations for the exposomics community to establish and mature a federated exposomics data ecosystem.

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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 associations and to derive actionable insights from the observational, heterogenous, and multi-omics datasets collected in exposomics studies. This data-centric perspective starts with an overview of the main components and common analysis workflows in exposomics. We then introduce six computational approaches that have proven effective in addressing some key analytical challenges, including linear modeling with covariate adjustment, dimensionality reduction for covariance detection, neural networks for identification of complex interactions, network visual analytics for organizing and interpreting multi-omics results, Mendelian randomization for causal inference, and cause-effect validation by coupling effect-directed analysis with dose-response assessment. Finally, we present a series of well-designed web-based tools, and briefly discuss how they can be used for exposomics data analysis.

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

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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 exploration of the historical exposome, focusing on the Belval area located in the Minett region in southern Luxembourg. This area evolved from a source of mineral water to steel production through to the current campus for research and development. This article explores the various possibilities of natural and social archives that were considered in creating the historical exposome of Belval and reflects upon possibilities and limitations of the current approaches in assessing the exposome using purely a natural science approach. Issues surrounding significance, visualization, and availability of material suitable to form natural archives are discussed in a critical manner. The “Minett Stories” are presented as a way of creating new historical narratives to support exposome research. New research perspectives on the history of the Anthropocene were opened by investigating the causal relationships between factual evidence and narrative evidence stemming from historical sources. The concept of historical exposome presented here may thus offer a useful conceptual framework for studying the Anthropocene in a truly interdisciplinary fashion.

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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 benchmarked using the LipidMaps database and improved the annotation rate of a test study for MS/MS spectra that were not originally annotated using existing mass spectral libraries. IDSL_MINT may improve the overall annotation rates in untargeted metabolomics and exposomics studies. The IDSL_MINT framework and tutorials are available in the GitHub repository at https://github.com/idslme/IDSL_MINT.Scientific contribution statement.Structural annotation of MS/MS spectra from untargeted metabolomics and exposomics datasets is a major bottleneck in gaining new biological insights. Machine learning models to convert spectra into molecular fingerprints can help in the annotation process. Here, we present IDSL_MINT, a new, easy-to-use and customizable deep-learning framework to train and utilize new models to predict molecular fingerprints from spectra for the compound annotation workflows.

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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 the required infrastructure. The first aspect is to improve the identification of exogenous and endogenous chemical features by expansion of our high‐resolution mass spectrometry capabilities (automated liquid handling with ThermoFisher Orbitrap‐based technology: HFX, LC‐Exploris 240, GC‐Exploris 240, and IQX Tribrid Mass Spectrometer). We are in the process of analyzing thousands of samples from WHICAP, EFIGA, and RANN using our combined LC/GC Orbitrap platform, to identify significant associations with disease traits (existing and next generation biomarkers, pathology, imaging, clinical features). Initial results from these studies will be presented to demonstrate feasibility of the approach. We have also initiated a series of pilot studies for other AD cohorts, which cover a range of populations with diverse ethnicity, disease stage, and age. These studies have extensive clinical phenotyping and deep molecular phenotyping. The addition of exposomics will leverage these existing studies to uncover novel environmental contributors to AD. We also also developing a platform to distribute workflows via an online EXCEL AD Community Dashboard to other ADRCs and AD research groups interested in incorporating exposomics into their studies. We will also provide guidance on quality control materials, including providing standards as needed. The Community Dashboard would also compile information on ongoing AD studies that are incorporating exposomics, as well as relevant publications. Various tools will be developed to encourage the utilization of this new platform such as user manuals, training programs (in‐person, online) exposomics bootcamps, and scholar exchange through on‐site visits to laboratories. We will deploy an academic research consultancy that will help other interested laboratories to establish the exposomics workflow.

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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 environmental and lifestyle exposures, genetic variability, and disease phenotypes. We highlight cutting-edge methodologies, including multi-omics technologies, exposome-wide association studies (EWAS), physiology-based biokinetic modeling, and advanced bioinformatics approaches. These tools enable precise characterization of both the external and the internal exposome, facilitating the identification of biomarkers, exposure-response relationships, and disease prediction and mechanisms. We also consider the importance of addressing socio-economic, demographic, and gender disparities in environmental health research. We emphasize how exposome data can contextualize genomic variation and enhance causal inference, especially in studies of vulnerable populations and complex diseases. By showcasing concrete examples and proposing integrative platforms for translational exposomics, this work underscores the critical need to bridge genomics and exposomics to enable precision prevention, risk stratification, and public health decision-making. This integrative approach offers a new paradigm for understanding health and disease beyond genetics alone.

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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 readily accessible for most laboratories. An alternative approach involves chemical exposure “contact tracing” analogous to contact tracing used to track the spread of infectious disease. For transmissible diseases, contact tracing identifies sets of potentially infected individuals that are linked by close contact to a confirmed positive case. Similarly, chemical exposures can be identified by establishing sets of xenobiotic metabolites that are linked to the original exposure via enzymatic biotransformation. Here, we provide a commentary on how incorporating enzyme-based strategies for chemical contact tracing enables -omics scale characterization of chemical exposures to further illuminate the “dark matter” of the exposome.

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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 enlightens the necessity of targeted interventions to increase citizens' quality of life and decrease their health risks. Within the EU H2020 PULSE project, a multi-technological system to assist the population in the prevention and treatment of asthma and type 2 diabetes has been developed. The system created in PULSE features several parts, such as a personal App for the citizens, a set of air quality sensors, a WebGIS and dashboards for the public health operators. Citizens are directly involved in an exchange paradigm in which they send their own data and receive feedbacks and suggestions about their health in return. The WebGIS is a very distinguishing element of the PULSE technology and the paper illustrates its main functionalities focusing on the distinguishing and innovative features developed.

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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.e. metabolomics, proteomics, multi-residue trace analysis) was undertaken to provide practical guidance for the development of chemical exposomics. The approaches were assessed on the basis of their costs (i.e. capital expenditure, overhead and maintenance fees, expertise required, consumables) and potential benefits (i.e. improvements to sensitivity, coverage, reproducibility, throughput, ease of use) to prioritize those with promise for chemical exposomics application. Alongside a need for technological investments (e.g. advanced hardware updates), numerous low cost strategies showed high potential benefits (e.g. different column phases, enhanced sample fractionation) and are feasible for rapid adoption.

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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 avenues for personalized medicine. Advances in high throughput omics and other technologies as well as increased computational analytics is enabling comprehensive measurement and sophisticated analysis of the exposome to elucidate their cumulative and combined impacts on health, which can enable individuals, communities, and policymakers to create programs, policies, and protections that promote healthier environments and people. This review provides an overview of the potential role of exposomics in molecular medicine, covering its history, methodologies, current research and applications, and future directions.

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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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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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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 begun linking internal exposure to neurological impacts, shedding light on the potential neurotoxicity of non‐persistent pesticides like neonicotinoids and pyrethroids. Research should explore overlooked ubiquitous chemicals, such as flame retardants, fluorosurfactants, plasticizers, and food additives, and overlooked pathways such as neurovascular dysfunction or the impact on non‐neuronal cells.Furthermore, analytical challenges posed by exposomic studies are specifically important, since the chemical space is highly variable, dynamic and diverse in concentration levels (with ultra‐trace substances). Chemical exposures are multiple and potential additive or synergistic effects of chemicals, within mixtures, likely underlie the impact of the chemical exposome on the brain. Capturing the depth and breadth of that chemical exposome necessitates cutting‐edge molecular markers. The development of high throughput omics‐based molecular approaches has allowed simultaneous analysis of thousands of individual biological entities at a large scale – a technological revolution which has enabled the development of exposomics. High‐resolution mass spectrometry (HRMS)‐based methods applied to various matrices, allows to uncover unknown elements of the internal chemical exposome associated with neurodegenerative diseases.This presentation will discuss all the promises that new technologies combined with omics‐based methodologies could provide to uncover unknown chemical signatures associated to neurodegenerative diseases.

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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 exposome-level analysis have progressed our understanding of how environmental factors affect health outcomes; however, the relationship between environmental exposures and sex- and gender-specific health remains underexplored. The comprehensive, non-targeted, and unbiased nature of exposomic research provides a unique opportunity to systematically evaluate how environmental exposures interact with biological sex and gender identity to influence health. In this forward-looking narrative review, we provide examples of how biological sex and gender identity influence environmental exposures, discuss how environmental factors may interact with biological processes, and highlight how an intersectional approach to exposomics can provide critical insights for sex- and gender-specific health sciences.

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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 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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