Literature DB >> 19267305

Evaluating the similarity of complex drinking-water disinfection by-product mixtures: overview of the issues.

Glenn E Rice1, Linda K Teuschler, Richard J Bull, Jane E Simmons, Paul I Feder.   

Abstract

Humans are exposed daily to complex mixtures of environmental chemical contaminants, which arise as releases from sources such as engineering procedures, degradation processes, and emissions from mobile or stationary sources. When dose-response data are available for the actual environmental mixture to which individuals are exposed (i.e., the mixture of concern), these data provide the best information for dose-response assessment of the mixture. When suitable data on the mixture itself are not available, surrogate data might be used from a sufficiently similar mixture or a group of similar mixtures. Consequently, the determination of whether the mixture of concern is "sufficiently similar" to a tested mixture or a group of tested mixtures is central to the use of whole mixture methods. This article provides an overview for a series of companion articles whose purpose is to develop a set of biostatistical, chemical, and toxicological criteria and approaches for evaluating the similarity of drinking-water disinfection by-product (DBPs) complex mixtures. Together, the five articles in this series serve as a case study whose techniques will be relevant to assessing similarity for other classes of complex mixtures of environmental chemicals. Schenck et al. (2009) describe the chemistry and mutagenicity of a set of DBP mixtures concentrated from five different drinking-water treatment plants. Bull et al. (2009a, 2009b) describe how the variables that impact the formation of DBP affect the chemical composition and, subsequently, the expected toxicity of the mixture. Feder et al. (2009a, 2009b) evaluate the similarity of DBP mixture concentrates by applying two biostatistical approaches, principal components analysis, and a nonparametric "bootstrap" analysis. Important factors for determining sufficient similarity of DBP mixtures found in this research include disinfectant used; source water characteristics, including the concentrations of bromide and total organic carbon; concentrations and proportions of individual DBPs with known toxicity data on the same endpoint; magnitude of the unidentified fraction of total organic halides; similar toxicity outcomes for whole mixture testing (e.g., mutagenicity); and summary chemical measures such as total trihalomethanes, total haloacetic acids, total haloacetonitriles, and the levels of bromide incorporation in the DBP classes.

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Year:  2009        PMID: 19267305     DOI: 10.1080/15287390802608890

Source DB:  PubMed          Journal:  J Toxicol Environ Health A        ISSN: 0098-4108


  8 in total

1.  Method to assess component contribution to toxicity of complex mixtures: Assessment of puberty acquisition in rats exposed to disinfection byproducts.

Authors:  Shahid Parvez; Glenn E Rice; Linda K Teuschler; Jane Ellen Simmons; Thomas F Speth; Susan D Richardson; Richard J Miltner; E Sidney Hunter; Jonathan G Pressman; Lillian F Strader; Gary R Klinefelter; Jerome M Goldman; Michael G Narotsky
Journal:  J Environ Sci (China)       Date:  2017-06-07       Impact factor: 5.565

2.  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.

Authors:  Kyle Roell; Lauren E Koval; Rebecca Boyles; Grace Patlewicz; Caroline Ring; Cynthia V Rider; Cavin Ward-Caviness; David M Reif; Ilona Jaspers; Rebecca C Fry; Julia E Rager
Journal:  Front Toxicol       Date:  2022-06-22

3.  How similar is similar enough? A sufficient similarity case study with Ginkgo biloba extract.

Authors:  Natasha R Catlin; Bradley J Collins; Scott S Auerbach; Stephen S Ferguson; James M Harnly; Chris Gennings; Suramya Waidyanatha; Glenn E Rice; Stephanie L Smith-Roe; Kristine L Witt; Cynthia V Rider
Journal:  Food Chem Toxicol       Date:  2018-05-09       Impact factor: 6.023

4.  An empirical approach to sufficient similarity: combining exposure data and mixtures toxicology data.

Authors:  Scott Marshall; Chris Gennings; Linda K Teuschler; Leanna G Stork; Rogelio Tornero-Velez; Kevin M Crofton; Glenn E Rice
Journal:  Risk Anal       Date:  2013-02-11       Impact factor: 4.000

5.  Prospective power calculations for the Four Lab study of a multigenerational reproductive/developmental toxicity rodent bioassay using a complex mixture of disinfection by-products in the low-response region.

Authors:  Cheryl A Dingus; Linda K Teuschler; Glenn E Rice; Jane Ellen Simmons; Michael G Narotsky
Journal:  Int J Environ Res Public Health       Date:  2011-10-24       Impact factor: 3.390

6.  Trihalomethanes in Drinking Water and Bladder Cancer Burden in the European Union.

Authors:  Iro Evlampidou; Laia Font-Ribera; David Rojas-Rueda; Esther Gracia-Lavedan; Nathalie Costet; Neil Pearce; Paolo Vineis; Jouni J K Jaakkola; Francis Delloye; Konstantinos C Makris; Euripides G Stephanou; Sophia Kargaki; Frantisek Kozisek; Torben Sigsgaard; Birgitte Hansen; Jörg Schullehner; Ramon Nahkur; Catherine Galey; Christian Zwiener; Marta Vargha; Elena Righi; Gabriella Aggazzotti; Gunda Kalnina; Regina Grazuleviciene; Kinga Polanska; Dasa Gubkova; Katarina Bitenc; Emma H Goslan; Manolis Kogevinas; Cristina M Villanueva
Journal:  Environ Health Perspect       Date:  2020-01-15       Impact factor: 9.031

7.  Unraveling the health effects of environmental mixtures: an NIEHS priority.

Authors:  Danielle J Carlin; Cynthia V Rider; Rick Woychik; Linda S Birnbaum
Journal:  Environ Health Perspect       Date:  2013-01       Impact factor: 9.031

Review 8.  Evaluating Evidence for Association of Human Bladder Cancer with Drinking-Water Chlorination Disinfection By-Products.

Authors:  Steve E Hrudey; Lorraine C Backer; Andrew R Humpage; Stuart W Krasner; Dominique S Michaud; Lee E Moore; Philip C Singer; Benjamin D Stanford
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2015-08-26       Impact factor: 6.393

  8 in total

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