Exposome Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI: 10.1093/exposome/osae007

Vivian Do, Robbie M Parks, Joan A Casey, Dana E Goin, Marianthi-Anna Kioumourtzoglou

{"title":"Use, limitations, and future directions of mixtures approaches to understand the health impacts of weather- and climate change-related exposures, an under-studied aspect of the exposome.","authors":"Vivian Do, Robbie M Parks, Joan A Casey, Dana E Goin, Marianthi-Anna Kioumourtzoglou","doi":"10.1093/exposome/osae007","DOIUrl":"10.1093/exposome/osae007","url":null,"abstract":"The exposome concept aims to account for the comprehensive and cumulative effects of physical, chemical, biological, and psychosocial influences on biological systems. To date, limited exposome research has explicitly included climate change-related exposures. We define these exposures as those that will intensify with climate change, including direct effects like extreme heat, tropical cyclones, wildfires, downstream effects like air pollution, power outages, and limited or contaminated food and water supplies. These climate change-related exposures can occur individually or simultaneously. Here, we discuss the concept of a climate mixture, defined as three or more simultaneous climate change-related exposures, in the context of the exposome. In a motivating climate mixture example, we consider the impact of a co-occurring tropical cyclone, power outage, and flooding on respiratory hospitalizations. We identify current gaps and future directions for assessing the effect of climate mixtures on health. Mixtures methods allow us to incorporate climate mixtures into exposomics.","PeriodicalId":73005,"journal":{"name":"Exposome","volume":"4 1","pages":"osae007"},"PeriodicalIF":0.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11495863/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142514110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exposomics: perfection not required. Exposomics: 不要求完美。

Exposome Pub Date : 2024-10-04 eCollection Date: 2024-01-01 DOI: 10.1093/exposome/osae006

Gary W Miller

引用次数: 0

A long and winding road: Culture change on data sharing in exposomics 漫长而曲折的道路：世卫组织数据共享的文化变革

Exposome Pub Date : 2024-04-13 DOI: 10.1093/exposome/osae004

Robert O Wright, Konstantinos C Makris, P. Natsiavas, Timothy Fennel, Blake R Rushing, Ander Wilson

引用次数: 0

Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. 个性化环境与基因研究中基于多份问卷的暴露组关联研究和暴露组相关性的交互式数据共享。

Exposome Pub Date : 2024-02-12 eCollection Date: 2024-01-01 DOI: 10.1093/exposome/osae003

Dillon Lloyd, John S House, Farida S Akhtari, Charles P Schmitt, David C Fargo, Elizabeth H Scholl, Jason Phillips, Shail Choksi, Ruchir Shah, Janet E Hall, Alison A Motsinger-Reif

{"title":"Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study.","authors":"Dillon Lloyd, John S House, Farida S Akhtari, Charles P Schmitt, David C Fargo, Elizabeth H Scholl, Jason Phillips, Shail Choksi, Ruchir Shah, Janet E Hall, Alison A Motsinger-Reif","doi":"10.1093/exposome/osae003","DOIUrl":"10.1093/exposome/osae003","url":null,"abstract":"The correlations among individual exposures in the exposome, which refers to all exposures an individual encounters throughout life, are important for understanding the landscape of how exposures co-occur, and how this impacts health and disease. Exposome-wide association studies (ExWAS), which are analogous to genome-wide association studies (GWAS), are increasingly being used to elucidate links between the exposome and disease. Despite increased interest in the exposome, tools and publications that characterize exposure correlations and their relationships with human disease are limited, and there is a lack of data and results sharing in resources like the GWAS catalog. To address these gaps, we developed the PEGS Explorer web application to explore exposure correlations in data from the diverse North Carolina-based Personalized Environment and Genes Study (PEGS) that were rigorously calculated to account for differing data types and previously published results from ExWAS. Through globe visualizations, PEGS Explorer allows users to explore correlations between exposures found to be associated with complex diseases. The exposome data used for analysis includes not only standard environmental exposures such as point source pollution and ozone levels but also exposures from diet, medication, lifestyle factors, stress, and occupation. The web application addresses the lack of accessible data and results sharing, a major challenge in the field, and enables users to put results in context, generate hypotheses, and, importantly, replicate findings in other cohorts. PEGS Explorer will be updated with additional results as they become available, ensuring it is an up-to-date resource in exposome science.","PeriodicalId":73005,"journal":{"name":"Exposome","volume":"4 1","pages":"osae003"},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10899804/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139998492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Questionnaire-based exposome-wide association studies for common diseases in the Personalized Environment and Genes Study. 在个性化环境与基因研究中，对常见疾病进行基于问卷的全暴露关联研究。

Exposome Pub Date : 2024-02-12 eCollection Date: 2024-01-01 DOI: 10.1093/exposome/osae002

Dillon Lloyd, John S House, Farida S Akhtari, Charles P Schmitt, David C Fargo, Elizabeth H Scholl, Jason Phillips, Shail Choksi, Ruchir Shah, Janet E Hall, Alison A Motsinger-Reif

{"title":"Questionnaire-based exposome-wide association studies for common diseases in the Personalized Environment and Genes Study.","authors":"Dillon Lloyd, John S House, Farida S Akhtari, Charles P Schmitt, David C Fargo, Elizabeth H Scholl, Jason Phillips, Shail Choksi, Ruchir Shah, Janet E Hall, Alison A Motsinger-Reif","doi":"10.1093/exposome/osae002","DOIUrl":"10.1093/exposome/osae002","url":null,"abstract":"The exposome collectively refers to all exposures, beginning in utero and continuing throughout life, and comprises not only standard environmental exposures such as point source pollution and ozone levels but also exposures from diet, medication, lifestyle factors, stress, and occupation. The exposome interacts with individual genetic and epigenetic characteristics to affect human health and disease, but large-scale studies that characterize the exposome and its relationships with human disease are limited. To address this gap, we used extensive questionnaire data from the diverse North Carolina-based Personalized Environment and Genes Study (PEGS, n = 9, 429) to evaluate exposure associations in relation to common diseases. We performed an exposome-wide association study (ExWAS) to examine single exposure models and their associations with 11 common complex diseases, namely allergic rhinitis, asthma, bone loss, fibroids, high cholesterol, hypertension, iron-deficient anemia, ovarian cysts, lower GI polyps, migraines, and type 2 diabetes. Across diseases, we found associations with lifestyle factors and socioeconomic status as well as asbestos, various dust types, biohazardous material, and textile-related exposures. We also found disease-specific associations such as fishing with lead weights and migraines. To differentiate between a replicated result and a novel finding, we used an AI-based literature search and database tool that allowed us to examine the current literature. We found both replicated findings, especially for lifestyle factors such as sleep and smoking across diseases, and novel findings, especially for occupational exposures and multiple diseases.","PeriodicalId":73005,"journal":{"name":"Exposome","volume":"4 1","pages":"osae002"},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10914401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140051239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decoding the exposome: Data science methodologies and implications in Exposome-Wide association studies (ExWASs) 解码暴露组：全暴露组关联研究（ExWASs）中的数据科学方法及其影响

Exposome Pub Date : 2024-01-17 DOI: 10.1093/exposome/osae001

Ming Kei Chung, John S. House, F. Akhtari, Konstantinos C Makris, Michael A. Langston, Khandaker Talat Islam, Philip Holmes, Marc Chadeau-Hyam, Alex I Smirnov, Xiuxia Du, Anne E Thessen, Yuxia Cui, Kai Zhang, Arjun K. Manrai, Alison Motsinger-Reif, Chirag J Patel

{"title":"Decoding the exposome: Data science methodologies and implications in Exposome-Wide association studies (ExWASs)","authors":"Ming Kei Chung, John S. House, F. Akhtari, Konstantinos C Makris, Michael A. Langston, Khandaker Talat Islam, Philip Holmes, Marc Chadeau-Hyam, Alex I Smirnov, Xiuxia Du, Anne E Thessen, Yuxia Cui, Kai Zhang, Arjun K. Manrai, Alison Motsinger-Reif, Chirag J Patel","doi":"10.1093/exposome/osae001","DOIUrl":"https://doi.org/10.1093/exposome/osae001","url":null,"abstract":"\u0000 This paper explores the exposome concept and its role in elucidating the interplay between environmental exposures and human health. We introduce two key concepts critical for exposomics research. Firstly, we discuss the joint impact of genetics and environment on phenotypes, emphasizing the variance attributable to shared and non-shared environmental factors, underscoring the complexity of quantifying the exposome's influence on health outcomes. Secondly, we introduce the importance of advanced data-driven methods in large cohort studies for exposomic measurements. Here, we introduce the exposome-wide association study (ExWAS), an approach designed for systematic discovery of relationships between phenotypes and various exposures, identifying significant associations while controlling for multiple comparisons. We advocate for the standardized use of the term “exposome-wide association study, ExWAS,” to facilitate clear communication and literature retrieval in this field. The paper aims to guide future health researchers in understanding and evaluating exposomic studies. Our discussion extends to emerging topics, such as FAIR Data Principles, biobanked healthcare datasets, and the functional exposome, outlining the future directions in exposomic research. This abstract provides a succinct overview of our comprehensive approach to understanding the complex dynamics of the exposome and its significant implications for human health.","PeriodicalId":73005,"journal":{"name":"Exposome","volume":"59 50","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139527232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The exposome at NIEHS: from workshops to manuscripts. NIEHS的暴露:从工作坊到手稿。

Exposome Pub Date : 2023-11-30 eCollection Date: 2023-01-01 DOI: 10.1093/exposome/osad011

Gary W Miller

引用次数: 0

The Exposome and Nutritional Pharmacology and Toxicology: A New Application for Metabolomics 暴露体与营养药理学和毒理学：代谢组学的新应用

Exposome Pub Date : 2023-11-23 DOI: 10.1093/exposome/osad008

Blake R Rushing, A. Thessen, Ghada A Soliman, A. Ramesh, Susan J. Sumner

引用次数: 0

Community-level exposomics: A population-centered approach to address public health concerns 社区层面的暴露研究：以人口为中心解决公共卫生问题的方法

Exposome Pub Date : 2023-11-16 DOI: 10.1093/exposome/osad009

Jeanette A Stingone, Andrew M Geller, D. Hood, Konstantinos C Makris, Charles P Mouton, J. C. States, Susan J. Sumner, K. L. Wu, Arcot K Rajasekar

{"title":"Community-level exposomics: A population-centered approach to address public health concerns","authors":"Jeanette A Stingone, Andrew M Geller, D. Hood, Konstantinos C Makris, Charles P Mouton, J. C. States, Susan J. Sumner, K. L. Wu, Arcot K Rajasekar","doi":"10.1093/exposome/osad009","DOIUrl":"https://doi.org/10.1093/exposome/osad009","url":null,"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.","PeriodicalId":73005,"journal":{"name":"Exposome","volume":"258 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139269232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A roadmap to advance exposomics through federation of data 通过数据联合推进暴露组学的路线图

Exposome Pub Date : 2023-11-14 DOI: 10.1093/exposome/osad010

Charles P Schmitt, Jeanette A Stingone, Arcot Rajasekar, Yuxia Cui, Xiuxia Du, Chris Duncan, Michelle Heacock, Hui Hu, Juan R Gonzalez, Paul D Juarez, Alex I Smirnov

{"title":"A roadmap to advance exposomics through federation of data","authors":"Charles P Schmitt, Jeanette A Stingone, Arcot Rajasekar, Yuxia Cui, Xiuxia Du, Chris Duncan, Michelle Heacock, Hui Hu, Juan R Gonzalez, Paul D Juarez, Alex I Smirnov","doi":"10.1093/exposome/osad010","DOIUrl":"https://doi.org/10.1093/exposome/osad010","url":null,"abstract":"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.","PeriodicalId":73005,"journal":{"name":"Exposome","volume":"114 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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