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Møller FT, Junker TG, Kold Sørensen K, Eves C, Wohlfahrt J, Dillner J, Torp-Pedersen C, Wilkowski B, Chong S, Pers TH, Yakimov V, Müller H, Ethelberg S, Melbye M. Assessing household lifestyle exposures from consumer purchases, the My Purchases cohort. Sci Rep 2023; 13:21601. [PMID: 38062070 PMCID: PMC10703931 DOI: 10.1038/s41598-023-47534-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 11/14/2023] [Indexed: 12/18/2023] Open
Abstract
Consumer purchase data (CPD) is a promising instrument to assess the impact of purchases on health, but is limited by the need for manual scanning, a lack of access to data from multiple retailers, and limited information on product data and health outcomes. Here we describe the My Purchases cohort, a web-app enabled, prospective collection of CPD, covering several large retail chains in Denmark, that enables linkage to health outcomes. The cohort included 459 participants as of July 03, 2023. Up to eight years of CPD have been collected, with 2,225,010 products purchased, comprising 223,440 unique products. We matched 88.5% of all products by product name or item number to one generic food database and three product databases. Combined, the databases enable analysis of key exposures such as nutrients, ingredients, or additives. We found that increasing the number of retailers that provide CPD for each consumer improved the stability of individual CPD profiles and when we compared kilojoule information from generic and specific product matches, we found a median modified relative difference of 0.23. Combined with extensive product databases and health outcomes, CPD could provide the basis for extensive investigations of how what we buy affects our health.
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Affiliation(s)
- Frederik T Møller
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
| | - Thor Grønborg Junker
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Kathrine Kold Sørensen
- Department of Cardiology, North Zealand Hospital, Hillerød, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Eves
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Jan Wohlfahrt
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Joakim Dillner
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Christian Torp-Pedersen
- Department of Cardiology, North Zealand Hospital, Hillerød, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Bartlomiej Wilkowski
- Department for Digital Infrastructure, Statens Serum Institut, Copenhagen, Denmark
| | - Steven Chong
- Department for Digital Infrastructure, Statens Serum Institut, Copenhagen, Denmark
| | - Tune H Pers
- The Novo Nordisk Foundation, Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Victor Yakimov
- Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Heimo Müller
- Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | - Steen Ethelberg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | - Mads Melbye
- Danish Cancer Society Research Center, Copenhagen, Denmark
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Guillien A, Ghosh M, Gille T, Dumas O. The exposome concept: how has it changed our understanding of environmental causes of chronic respiratory diseases? Breathe (Sheff) 2023; 19:230044. [PMID: 37492345 PMCID: PMC10365075 DOI: 10.1183/20734735.0044-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/31/2023] [Indexed: 07/27/2023] Open
Abstract
The exposome approach can help us better understand multifactorial respiratory diseases through multidisciplinary collaboration, harmonised resources and use of sophisticated methods addressing combined exposures and longitudinal data. https://bit.ly/3Ng9MNn.
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Affiliation(s)
- Alicia Guillien
- University of Grenoble Alpes, French National Institute of Health and Medical Research, French National Center for Scientific Research, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences, Grenoble, France
- Both authors contributed equally
| | - Manosij Ghosh
- Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- Both authors contributed equally
| | - Thomas Gille
- Inserm UMR 1272 “Hypoxia & the Lung”, UFR Santé, Médecine, Biologie Humaine (SMBH) Léonard de Vinci, Université Sorbonne Paris Nord (USPN), Bobigny, France
- Dept. of Physiology and Functional Explorations, Avicenne University Hospital, Hôpitaux Universitaires de Paris Seine-Saint-Denis (HUPSSD), Assistance Publique - Hôpitaux de Paris (AP-HP), Bobigny, France
- Dept. of Physiology and Functional Explorations, Jean Verdier University Hospital, Hôpitaux Universitaires de Paris Seine-Saint-Denis (HUPSSD), Assistance Publique - Hôpitaux de Paris (AP-HP), Bondy, France
| | - Orianne Dumas
- Université Paris-Saclay, UVSQ, Univ. Paris-Sud, Inserm, Equipe d'Epidémiologie Respiratoire Intégrative, CESP, Villejuif, France
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Bucher ML, Anderson FL, Lai Y, Dicent J, Miller GW, Zota AR. Exposomics as a tool to investigate differences in health and disease by sex and gender. Exposome 2023; 3:osad003. [PMID: 37122372 PMCID: PMC10125831 DOI: 10.1093/exposome/osad003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 03/07/2023] [Accepted: 03/10/2023] [Indexed: 05/02/2023]
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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Affiliation(s)
| | - Faith L Anderson
- Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, NY, USA
| | - Yunjia Lai
- Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, NY, USA
| | - Jocelyn Dicent
- Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, NY, USA
| | - Gary W Miller
- Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, NY, USA
| | - Ami R Zota
- Department of Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, NY, USA
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Abstract
Metabolomics describes a high-throughput approach for measuring a repertoire of metabolites and small molecules in biological samples. One utility of untargeted metabolomics, unbiased global analysis of the metabolome, is to detect key metabolites as contributors to, or readouts of, human health and disease. In this perspective, we discuss how artificial intelligence (AI) and machine learning (ML) have promoted major advances in untargeted metabolomics workflows and facilitated pivotal findings in the areas of disease screening and diagnosis. We contextualize applications of AI and ML to the emerging field of high-resolution mass spectrometry (HRMS) exposomics, which unbiasedly detects endogenous metabolites and exogenous chemicals in human tissue to characterize exposure linked with disease outcomes. We discuss the state of the science and suggest potential opportunities for using AI and ML to improve data quality, rigor, detection, and chemical identification in untargeted metabolomics and exposomics studies.
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Affiliation(s)
- Lauren M. Petrick
- The Bert Strassburger Metabolic Center, Sheba Medical Center, Tel-Hashomer, Israel
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Exposomics Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Noam Shomron
- Faculty of Medicine, Edmond J. Safra Center for Bioinformatics, Sagol School of Neuroscience, Center for Nanoscience and Nanotechnology, Center for Innovation Laboratories (TILabs), Tel Aviv University, Tel Aviv, Israel
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Shin G, Hong J, Park S. Novel data archival system for multi-omics data of human exposure to harmful substances. Mol Cell Toxicol 2022; 18:277-283. [DOI: 10.1007/s13273-022-00226-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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