{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T11:07:13Z","timestamp":1791544033634,"version":"4.3.4"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T00:00:00Z","timestamp":1721260800000},"content-version":"am","delay-in-days":321,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["P42ES031007"],"award-info":[{"award-number":["P42ES031007"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["ZIA ES103373-01"],"award-info":[{"award-number":["ZIA ES103373-01"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000139","name":"U.S. Environmental Protection Agency","doi-asserted-by":"publisher","award":["STAR 84045801"],"award-info":[{"award-number":["STAR 84045801"]}],"id":[{"id":"10.13039\/100000139","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Current Opinion in Toxicology"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1016\/j.cotox.2023.100417","type":"journal-article","created":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T22:48:32Z","timestamp":1687646912000},"page":"100417","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Wrangling whole mixtures risk assessment: Recent advances in determining sufficient similarity"],"prefix":"10.1016","volume":"35","author":[{"given":"Julia E.","family":"Rager","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4497-518X","authenticated-orcid":false,"given":"Cynthia V.","family":"Rider","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cotox.2023.100417_bib1","doi-asserted-by":"crossref","first-page":"7448","DOI":"10.1021\/acs.est.2c00321","article-title":"The next frontier of environmental unknowns: substances of unknown or variable composition, complex reaction products, or biological materials (UVCBs)","volume":"56","author":"Lai","year":"2022","journal-title":"Environ Sci Technol"},{"key":"10.1016\/j.cotox.2023.100417_bib2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/toxsci\/kfab149","article-title":"The exposome and toxicology: a win-win collaboration","volume":"186","author":"Barouki","year":"2022","journal-title":"Toxicol Sci"},{"key":"10.1016\/j.cotox.2023.100417_bib3","series-title":"Supplementary guidance for conducting health risk assessment of chemical mixtures","year":"2000"},{"key":"10.1016\/j.cotox.2023.100417_bib4","series-title":"Health assessment document for diesel engine exhaust","year":"2002"},{"key":"10.1016\/j.cotox.2023.100417_bib5","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph19159490","article-title":"The long goodbye: finally moving on from the relative potency approach to a mixtures approach for polycyclic aromatic hydrocarbons (PAHs)","volume":"19","author":"Haber","year":"2022","journal-title":"Int J Environ Res Publ Health"},{"key":"10.1016\/j.cotox.2023.100417_bib6","doi-asserted-by":"crossref","DOI":"10.3389\/ftox.2022.893924","article-title":"Development of the InTelligence and machine LEarning (TAME) toolkit for introductory data science, chemical-biological analyses, predictive modeling, and database mining for environmental health research","volume":"4","author":"Roell","year":"2022","journal-title":"Front Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib7","article-title":"Guidance on harmonised methodologies for human health, animal health and ecological risk assessment of combined exposure to multiple chemicals","volume":"17","author":"Committee","year":"2019","journal-title":"EFSA J"},{"key":"10.1016\/j.cotox.2023.100417_bib8","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1038\/s41370-022-00492-z","article-title":"Exposure forecasting - ExpoCast - for data-poor chemicals in commerce and the environment","volume":"32","author":"Wambaugh","year":"2022","journal-title":"J Expo Sci Environ Epidemiol"},{"key":"10.1016\/j.cotox.2023.100417_bib9","doi-asserted-by":"crossref","first-page":"16289","DOI":"10.1021\/acs.analchem.1c02660","article-title":"An introduction to the benchmarking and publications for non-targeted analysis working group","volume":"93","author":"Place","year":"2021","journal-title":"Anal Chem"},{"key":"10.1016\/j.cotox.2023.100417_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2022.107385","article-title":"Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia","volume":"167","author":"Chao","year":"2022","journal-title":"Environ Int"},{"key":"10.1016\/j.cotox.2023.100417_bib11","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1038\/s41370-017-0012-y","article-title":"Integrating tools for non-targeted analysis research and chemical safety evaluations at the US EPA","volume":"28","author":"Sobus","year":"2018","journal-title":"J\u00a0Expo Sci Environ Epidemiol"},{"key":"10.1016\/j.cotox.2023.100417_bib12","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.envint.2015.12.008","article-title":"Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring","volume":"88","author":"Rager","year":"2016","journal-title":"Environ Int"},{"key":"10.1016\/j.cotox.2023.100417_bib13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.reprotox.2020.02.004","article-title":"Review of the environmental prenatal exposome and its relationship to maternal and fetal health","volume":"98","author":"Rager","year":"2020","journal-title":"Reprod Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib14","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1515\/pac-2021-3101","article-title":"Data format standards in analytical chemistry","volume":"94","author":"Rauh","year":"2022","journal-title":"Pure Appl Chem"},{"key":"10.1016\/j.cotox.2023.100417_bib15","doi-asserted-by":"crossref","DOI":"10.1038\/sdata.2016.18","article-title":"The FAIR Guiding Principles for scientific data management and stewardship","volume":"3","author":"Wilkinson","year":"2016","journal-title":"Sci Data"},{"key":"10.1016\/j.cotox.2023.100417_bib16","doi-asserted-by":"crossref","first-page":"2097","DOI":"10.1021\/es5002105","article-title":"Identifying small molecules via high resolution mass spectrometry: communicating confidence","volume":"48","author":"Schymanski","year":"2014","journal-title":"Environ Sci Technol"},{"key":"10.1016\/j.cotox.2023.100417_sref17","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2022.107345","article-title":"Determination of whole mixture-based potency factors for cancer risk assessment of complex environmental mixtures by in\u00a0vitro testing of standard reference materials","volume":"166","author":"de Oliveira Galvao","year":"2022","journal-title":"Environ Int"},{"key":"10.1016\/j.cotox.2023.100417_sref18","doi-asserted-by":"crossref","DOI":"10.3390\/ijerph192012990","article-title":"Mixture risk assessment of complex real-life mixtures-the PANORAMIX project","volume":"19","author":"Escher","year":"2022","journal-title":"Int J Environ Res Publ Health"},{"key":"10.1016\/j.cotox.2023.100417_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.yrtph.2021.105090","article-title":"The Botanical Safety Consortium: a public-private partnership to enhance the botanical safety toolkit","volume":"128","author":"Mitchell","year":"2022","journal-title":"Regul Toxicol Pharmacol"},{"key":"10.1016\/j.cotox.2023.100417_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2022.107608","article-title":"Endocrine disrupting chemicals entering European rivers: occurrence and adverse mixture effects in treated wastewater","volume":"170","author":"Finckh","year":"2022","journal-title":"Environ Int"},{"key":"10.1016\/j.cotox.2023.100417_sref21","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1002\/etc.4944","article-title":"Effect-based trigger values for mixtures of chemicals in surface water detected with in\u00a0vitro bioassays","volume":"40","author":"Escher","year":"2021","journal-title":"Environ Toxicol Chem"},{"key":"10.1016\/j.cotox.2023.100417_bib22","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1089\/aivt.2018.0020","article-title":"Using Tox21 high-throughput screening assays for the evaluation of botanical and dietary supplements","volume":"5","author":"Hubbard","year":"2019","journal-title":"Appl In\u00a0Vitro Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib23","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.tiv.2018.09.006","article-title":"Assessing bioactivity-exposure profiles of fruit and vegetable extracts in the BioMAP profiling system","volume":"54","author":"Wetmore","year":"2019","journal-title":"Toxicol Vitro"},{"key":"10.1016\/j.cotox.2023.100417_bib24","doi-asserted-by":"crossref","first-page":"1648","DOI":"10.1093\/carcin\/bgaa047","article-title":"A\u00a0polycyclic aromatic hydrocarbon-enriched environmental chemical mixture enhances AhR, antiapoptotic signaling and a proliferative phenotype in breast cancer cells","volume":"41","author":"Gearhart-Serna","year":"2020","journal-title":"Carcinogenesis"},{"key":"10.1016\/j.cotox.2023.100417_sref25","doi-asserted-by":"crossref","DOI":"10.1289\/EHP7600","article-title":"Risk characterization and probabilistic concentration-response modeling of complex environmental mixtures using new approach methodologies (NAMs) data from organotypic in\u00a0vitro human stem cell assays","volume":"129","author":"Hsieh","year":"2021","journal-title":"Environ Health Perspect"},{"key":"10.1016\/j.cotox.2023.100417_bib26","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s00204-021-03182-1","article-title":"Investigating the in\u00a0vitro steatotic mixture effects of similarly and dissimilarly acting test compounds using an adverse outcome pathway-based approach","volume":"96","author":"Alarcan","year":"2022","journal-title":"Arch Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib27","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.reprotox.2021.08.007","article-title":"Combining in\u00a0vitro assays and mathematical modelling to study developmental neurotoxicity induced by chemical mixtures","volume":"105","author":"Pistollato","year":"2021","journal-title":"Reprod Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib28","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1038\/s41370-022-00451-8","article-title":"Environmental mixtures and breast cancer: identifying co-exposure patterns between understudied vs breast cancer-associated chemicals using chemical inventory informatics","volume":"32","author":"Koval","year":"2022","journal-title":"J Expo Sci Environ Epidemiol"},{"key":"10.1016\/j.cotox.2023.100417_bib29","doi-asserted-by":"crossref","DOI":"10.1289\/EHP8262","article-title":"Integrating selection and risk assessment of chemical mixtures: a novel approach applied to a breast milk survey","volume":"130","author":"Crepet","year":"2022","journal-title":"Environ Health Perspect"},{"key":"10.1016\/j.cotox.2023.100417_sref30","doi-asserted-by":"crossref","first-page":"17131","DOI":"10.1021\/acs.est.2c06043","article-title":"Wildfire variable toxicity: identifying biomass smoke exposure groupings through transcriptomic similarity scoring","volume":"56","author":"Koval","year":"2022","journal-title":"Environ Sci Technol"},{"key":"10.1016\/j.cotox.2023.100417_bib31","doi-asserted-by":"crossref","DOI":"10.1289\/EHP1265","article-title":"A\u00a0method for identifying prevalent chemical combinations in the U.S. Population","volume":"125","author":"Kapraun","year":"2017","journal-title":"Environ Health Perspect"},{"key":"10.1016\/j.cotox.2023.100417_bib32","doi-asserted-by":"crossref","DOI":"10.3389\/fpubh.2021.590038","article-title":"Network analysis to identify communities among multiple exposure biomarkers measured at birth in three flemish general population samples","volume":"9","author":"Ottenbros","year":"2021","journal-title":"Front Public Health"},{"key":"10.1016\/j.cotox.2023.100417_bib33","doi-asserted-by":"crossref","first-page":"2210","DOI":"10.1021\/acs.chemrestox.2c00270","article-title":"Computational approach to link chemicals in anthropogenic smoke particulate matter with toxicity","volume":"19","author":"Kim","year":"2022","journal-title":"Chem Res Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib34","doi-asserted-by":"crossref","DOI":"10.1289\/EHP8690","article-title":"The COVID-19 pandemic vulnerability index (PVI) dashboard: monitoring county-level vulnerability using visualization, statistical modeling, and machine learning","volume":"129","author":"Marvel","year":"2021","journal-title":"Environ Health Perspect"},{"key":"10.1016\/j.cotox.2023.100417_bib35","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1097\/EDE.0000000000000917","article-title":"Metallic air pollutants and breast cancer risk in a nationwide cohort study","volume":"30","author":"White","year":"2019","journal-title":"Epidemiology"},{"key":"10.1016\/j.cotox.2023.100417_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2021.110749","article-title":"Prenatal exposure to endocrine disrupting chemical mixtures and infant birth weight: a Bayesian analysis using kernel machine regression","volume":"195","author":"Hu","year":"2021","journal-title":"Environ Res"},{"key":"10.1016\/j.cotox.2023.100417_bib37","doi-asserted-by":"crossref","DOI":"10.1016\/j.envint.2022.107433","article-title":"Associations between airborne crude oil chemicals and symptom-based asthma","volume":"167","author":"Lawrence","year":"2022","journal-title":"Environ Int"},{"key":"10.1016\/j.cotox.2023.100417_sref38","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2021.145759","article-title":"Mixtures modeling identifies chemical inducers versus repressors of toxicity associated with wildfire smoke","volume":"775","author":"Rager","year":"2021","journal-title":"Sci Total Environ"},{"key":"10.1016\/j.cotox.2023.100417_bib39","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1093\/toxsci\/kfz189","article-title":"Evaluating sufficient similarity of botanical dietary supplements: combining chemical and in\u00a0vitro biological data","volume":"172","author":"Ryan","year":"2019","journal-title":"Toxicol Sci"},{"key":"10.1016\/j.cotox.2023.100417_bib40","doi-asserted-by":"crossref","DOI":"10.3390\/toxics10050199","article-title":"Chemical mixtures in household environments: in silico predictions and in vitro testing of potential joint action on PPARgamma in human liver cells","volume":"10","author":"Carberry","year":"2022","journal-title":"Toxics"},{"key":"10.1016\/j.cotox.2023.100417_bib41","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1111\/risa.13323","article-title":"A\u00a0novel approach to chemical mixture risk assessment-linking data from population-based epidemiology and experimental animal tests","volume":"39","author":"Bornehag","year":"2019","journal-title":"Risk Anal"},{"key":"10.1016\/j.cotox.2023.100417_bib42","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1080\/15287390802608890","article-title":"Evaluating the similarity of complex drinking-water disinfection by-product mixtures: overview of the issues","volume":"72","author":"Rice","year":"2009","journal-title":"J\u00a0Toxicol Environ Health A"},{"key":"10.1016\/j.cotox.2023.100417_bib43","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1080\/15287390802608940","article-title":"Correlations of water quality parameters with mutagenicity of chlorinated drinking water samples","volume":"72","author":"Schenck","year":"2009","journal-title":"J\u00a0Toxicol Environ Health A"},{"key":"10.1016\/j.cotox.2023.100417_bib44","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1080\/15287390802608965","article-title":"Evaluating sufficient similarity for disinfection by-product (DBP) mixtures: multivariate statistical procedures","volume":"72","author":"Feder","year":"2009","journal-title":"J\u00a0Toxicol Environ Health A"},{"key":"10.1016\/j.cotox.2023.100417_bib45","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1080\/15287390802608981","article-title":"Evaluating sufficient similarity for drinking-water disinfection by-product (DBP) mixtures with bootstrap hypothesis test procedures","volume":"72","author":"Feder","year":"2009","journal-title":"J\u00a0Toxicol Environ Health A"},{"key":"10.1016\/j.cotox.2023.100417_bib46","doi-asserted-by":"crossref","first-page":"5729","DOI":"10.1021\/acs.est.0c00958","article-title":"Assessing additivity of cytotoxicity associated with disinfection byproducts in potable reuse and conventional drinking waters","volume":"54","author":"Lau","year":"2020","journal-title":"Environ Sci Technol"},{"key":"10.1016\/j.cotox.2023.100417_bib47","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1039\/C9EW00988D","article-title":"Mixture effects of drinking water disinfection by-products: implications for risk assessment","volume":"6","author":"Stalter","year":"2020","journal-title":"Environ Sci-Water Res & Technol"},{"key":"10.1016\/j.cotox.2023.100417_bib48","doi-asserted-by":"crossref","DOI":"10.1029\/2020GH000330","article-title":"Differential cardiopulmonary health impacts of local and long-range transport of wildfire smoke","volume":"5","author":"Magzamen","year":"2021","journal-title":"Geohealth"},{"key":"10.1016\/j.cotox.2023.100417_bib49","doi-asserted-by":"crossref","first-page":"e579","DOI":"10.1016\/S2542-5196(21)00200-X","article-title":"Mortality risk attributable to wildfire-related PM(2.5) pollution: a global time series study in 749 locations","volume":"5","author":"Chen","year":"2021","journal-title":"Lancet Planet Health"},{"key":"10.1016\/j.cotox.2023.100417_bib50","doi-asserted-by":"crossref","DOI":"10.1289\/EHP2200","article-title":"Mutagenicity and lung toxicity of smoldering vs. Flaming emissions from various biomass fuels: implications for health effects from wildland fires","volume":"126","author":"Kim","year":"2018","journal-title":"Environ Health Perspect"},{"key":"10.1016\/j.cotox.2023.100417_bib51","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.fct.2018.05.013","article-title":"How similar is similar enough? A sufficient similarity case study with Ginkgo biloba extract","volume":"118","author":"Catlin","year":"2018","journal-title":"Food Chem Toxicol"},{"key":"10.1016\/j.cotox.2023.100417_bib52","volume":"2023","year":"2023"},{"key":"10.1016\/j.cotox.2023.100417_bib53","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.1111\/risa.12015","article-title":"An empirical approach to sufficient similarity: combining exposure data and mixtures toxicology data","volume":"33","author":"Marshall","year":"2013","journal-title":"Risk Anal"}],"container-title":["Current Opinion in Toxicology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468202023000323?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468202023000323?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,11]],"date-time":"2025-11-11T05:18:31Z","timestamp":1762838311000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2468202023000323"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":53,"alternative-id":["S2468202023000323"],"URL":"https:\/\/doi.org\/10.1016\/j.cotox.2023.100417","relation":{},"ISSN":["2468-2020"],"issn-type":[{"value":"2468-2020","type":"print"}],"subject":[],"published":{"date-parts":[[2023,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Wrangling whole mixtures risk assessment: Recent advances in determining sufficient similarity","name":"articletitle","label":"Article Title"},{"value":"Current Opinion in Toxicology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cotox.2023.100417","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"100417"}}