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As several breast cancer risk factors, including age and parity, are related to reproduction, it is imperative to investigate the interplay between such factors and the chemical exposome prior to conducting large scale exposome-based\u00a0breast cancer studies.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Objective<\/jats:title>\n            <jats:p>This pilot study aimed to provide an overview of the chemical exposome in plasma samples from healthy women and identify associations between environmental exposures and three risk factors for breast cancer: age, parity, and age at menarche.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Material and methods<\/jats:title>\n            <jats:p>Plasma samples (<jats:italic>n<\/jats:italic>\u2009=\u2009161), were selected based on reproductive history from 100 women participating in the Northern Sweden Health and Disease Study, between 1987 and 2006. Samples were analyzed by liquid chromatography high-resolution mass spectrometry (LC-HRMS) for 77 priority target analytes including contaminants and hormones, with simultaneous untargeted profiling of the chemical exposome and metabolome. Linear mixed effects models were applied to test associations between risk factors and chemical levels.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Fifty-five target analytes were detected in at least one individual and over 94,000 untargeted features were detected across all samples. Among untargeted features, 430 could be annotated and were broadly classified as environmental (246), endogenous (167) or ambiguous (17). Applying mixed effect models to features detected in at least 70% of the samples (16,778), we found seven targeted analytes (including caffeine and various per- and poly-fluoroalkyl substances) and 38 untargeted features, positively associated with age. The directionality of these associations reversed for parity, decreasing with increasing births. Seven separate targeted analytes were associated with age at menarche.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Significance<\/jats:title>\n            <jats:p>This study demonstrates how a comprehensive chemical exposome approach can be used to inform future research prioritization regarding associations between known and unknown substances, reproduction, and breast cancer risk.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Impact statement<\/jats:title>\n            <jats:p>\n              <jats:list list-type=\"bullet\">\n                <jats:list-item>\n                  <jats:p>This study illustrates how chemical exposomics of long-term stored blood samples offers valuable insights to discover chemical exposures and their potential links to disease in humans, particularly those related to reproduction and breast cancer risk factors.<\/jats:p>\n                <\/jats:list-item>\n              <\/jats:list>\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1038\/s41370-024-00736-0","type":"journal-article","created":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T18:58:53Z","timestamp":1733511533000},"page":"567-577","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Chemical exposomics in biobanked plasma samples and associations with breast cancer risk factors"],"prefix":"10.1038","volume":"35","author":[{"given":"Jessica","family":"Edlund","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kalliroi","family":"Sdougkou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefano","family":"Papazian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wendy Yi-Ying","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan W.","family":"Martin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8540-6891","authenticated-orcid":false,"given":"Sophia","family":"Harlid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,6]]},"reference":[{"key":"736_CR1","doi-asserted-by":"publisher","first-page":"6549","DOI":"10.1080\/10408398.2021.1903382","volume":"62","author":"MLY Wan","year":"2022","unstructured":"Wan MLY, Co VA, El-Nezami H. 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