{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T05:55:47Z","timestamp":1782626147606,"version":"3.54.5"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1012840","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T00:00:00Z","timestamp":1744070400000}}],"reference-count":101,"publisher":"Public Library of Science (PLoS)","issue":"3","license":[{"start":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T00:00:00Z","timestamp":1743033600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000066","name":"NIEHS","doi-asserted-by":"crossref","award":["P30ES019776-05"],"award-info":[{"award-number":["P30ES019776-05"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000066","name":"NIEHS","doi-asserted-by":"crossref","award":["P30ES019776-05"],"award-info":[{"award-number":["P30ES019776-05"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000066","name":"NIEHS","doi-asserted-by":"crossref","award":["P42ES04911"],"award-info":[{"award-number":["P42ES04911"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>Dioxins are persistent environmental pollutants known for their multiple health effects, from skin rashes to liver dysfunction, reproductive toxicity and cancer. While the hazards of dioxins have been well documented, the challenge of developing a comprehensive understanding of the overall health impact of dioxins remains. We propose to address this challenge with a new approach methodology (NAM) consisting of a novel adaptation of the Template-and-Anchor (T&amp;A) modeling paradigm. Generically, the template model is defined as a high-level coarse-grained model capturing the main physiological processes of the system. The variables of this template model are anchor models, which represent component sub-systems in greater detail at lower biological levels. For the case of dioxin, we design the template to capture the systemic effects of dioxin on the body\u2019s handling of cholesterol. Two new anchor models within this template elucidate the effects of dioxin on cholesterol transport in the bloodstream and on sex hormone steroidogenesis and the menstrual cycle. A third anchor model, representing dioxin-mediated effects on cholesterol biosynthesis via the mevalonate pathway, had been developed previously. The T&amp;A modeling paradigm enables a holistic evaluation of the impact of toxicants, which in the future may be translated into a powerful tool for comprehensive computational health risk assessments, personalized medicine, and the development of virtual clinical trials.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1012840","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T18:51:31Z","timestamp":1743101491000},"page":"e1012840","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Analysis of systemic effects of dioxin on human health through template-and-anchor modeling"],"prefix":"10.1371","volume":"21","author":[{"given":"Carla 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