Literature DB >> 30697345

Evolutionary concepts can benefit both fundamental research and applied research in toxicology (A comment on Brady et al. 2017).

Mark E Hahn1,2,3.   

Abstract

Entities:  

Year:  2018        PMID: 30697345      PMCID: PMC6346646          DOI: 10.1111/eva.12695

Source DB:  PubMed          Journal:  Evol Appl        ISSN: 1752-4571            Impact factor:   5.183


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In their insightful overview of the special issue of Evolutionary Applications on Evolutionary Toxicology, Brady, Monosson, Matson, and Bickham (2017) provide a much‐needed call for the application of evolutionary concepts in our efforts to understand life's responses to toxic chemicals. I write to comment on one aspect of their editorial that deserves a broader perspective. Brady and coauthors refer several times to toxicology as an “applied” science. Indeed, there are important applications of toxicology, for example, in toxicity testing of chemicals or in human health and ecological risk assessment. However, I would argue that toxicology is much more than an applied science. Important toxicological research in the past and much of the toxicological research occurring today should be considered basic or fundamental research, rather than applied. For example, toxic chemicals—including both natural products such as tetrodotoxin and synthetic chemicals like dioxin (2,3,7,8‐tetrachlorodibenzo‐p‐dioxin)—have long been used as “molecular probes” to investigate fundamental aspects of cell and molecular biology (Narahashi, 1977; Poland & Kende, 1976). Research in toxicology (and its sibling, pharmacology) has provided fundamental insights into the biochemistry of enzymes that catalyze the biotransformation of both xenobiotic and endogenous chemicals (Lu, 1998; Nebert & Gonzalez, 1987; Nelson, Goldstone, & Stegeman, 2013). Transcription factors discovered because of their roles in the response to chemicals have subsequently been found to have fundamental roles in development, physiology, and immunology (Esser & Rannug, 2015; Nebert, 2017; Oladimeji & Chen, 2018; Sykiotis & Bohmann, 2010). Even much of the toxicological research performed in support of applied goals such as testing or risk assessment is of a fundamental nature. Many examples can be found in the extensive research on mechanisms of toxicity, which generates basic understanding that informs screening efforts (Martin et al., 2010; Sipes et al., 2013) and regulatory decision‐making (Clewell, 2005; Haber et al., 2001; Sturla et al., 2014). Such research might best be considered fundamental research inspired by societal needs or “use‐inspired basic research” as defined by Stokes (1995, 1997). The concept of Evolutionary Toxicology encompasses at least two distinct but related ideas, both of which are noted in Brady et al. (2017). The first, as outlined in the foundational description of Evolutionary Toxicology (Bickham & Smolen, 1994), concerns how exposure to chemicals can, by causing mutations or imposing strong selective pressures, drive the evolution of populations and species (Bickham, 2011; Bickham, Sandhu, Hebert, Chikhi, & Athwal, 2000; Di Giulio & Clark, 2015; Klerks, Xie, & Levinton, 2011; Nacci, Champlin, & Jayaraman, 2010; Oziolor, Bickham, & Matson, 2017; Oziolor & Matson, 2015; Reid et al., 2016). The second involves understanding how deep evolutionary history has shaped animal responses to chemicals, including mechanisms of toxicity (Ballatori, Boyer, & Rockett, 2003; Ballatori & Villalobos, 2002) and defense (Goldstone et al., 2006; Nebert & Dieter, 2000) and using that information to inform both basic research and applied research in toxicology. For example, understanding the evolutionary basis of phenotypic plasticity during development provides insight into fundamental mechanisms underlying the developmental origins of adult disease (Gluckman, Hanson, & Beedle, 2007; Lea, Tung, Archie, & Alberts, 2017). Such an evolutionary perspective, which has parallels in the emerging field of Evolutionary Medicine (Nesse & Stearns, 2008; Stearns, 2012; Stearns, Nesse, Govindaraju, & Ellison, 2010; Wells, Nesse, Sear, Johnstone, & Stearns, 2017), can guide the selection of model systems in toxicological research and inform the extrapolation of results from those models to humans or wildlife (e.g., Gunnarsson, Jauhiainen, Kristiansson, Nerman, & Larsson, 2008; Lalone et al., 2013; Leung et al., 2017). The thesis of Brady et al. (2017)—that an evolutionary perspective can benefit toxicology—is one with which I strongly agree (Hahn, 2002; Hahn, Karchner, & Merson, 2017; Whitehead, Clark, Reid, Hahn, & Nacci, 2017). However, evolutionary concepts can enrich more than just the applied forms of toxicology; they also provide an important framework that enhances the fundamental understanding of toxicological mechanisms and the basic biology of the genes and proteins that control life's response to toxic chemicals. Click here for additional data file.
  38 in total

Review 1.  Effects of chemical contaminants on genetic diversity in natural populations: implications for biomonitoring and ecotoxicology.

Authors:  J W Bickham; S Sandhu; P D Hebert; L Chikhi; R Athwal
Journal:  Mutat Res       Date:  2000-07       Impact factor: 2.433

Review 2.  Defining the molecular and cellular basis of toxicity using comparative models.

Authors:  Nazzareno Ballatori; Alice R Villalobos
Journal:  Toxicol Appl Pharmacol       Date:  2002-09-15       Impact factor: 4.219

3.  Exploiting genome data to understand the function, regulation, and evolutionary origins of toxicologically relevant genes.

Authors:  Nazzareno Ballatori; James L Boyer; John C Rockett
Journal:  EHP Toxicogenomics       Date:  2003-01

Review 4.  Use of mode of action in risk assessment: past, present, and future.

Authors:  Harvey Clewell
Journal:  Regul Toxicol Pharmacol       Date:  2005-02-24       Impact factor: 3.271

Review 5.  Applications of mechanistic data in risk assessment: the past, present, and future.

Authors:  L T Haber; A Maier; Q Zhao; J S Dollarhide; R E Savage; M L Dourson
Journal:  Toxicol Sci       Date:  2001-05       Impact factor: 4.849

Review 6.  The evolution of drug metabolism.

Authors:  D W Nebert; M Z Dieter
Journal:  Pharmacology       Date:  2000-09       Impact factor: 2.547

7.  The chemical defensome: environmental sensing and response genes in the Strongylocentrotus purpuratus genome.

Authors:  J V Goldstone; A Hamdoun; B J Cole; M Howard-Ashby; D W Nebert; M Scally; M Dean; D Epel; M E Hahn; J J Stegeman
Journal:  Dev Biol       Date:  2006-09-03       Impact factor: 3.582

Review 8.  Early life events and their consequences for later disease: a life history and evolutionary perspective.

Authors:  Peter D Gluckman; Mark A Hanson; Alan S Beedle
Journal:  Am J Hum Biol       Date:  2007 Jan-Feb       Impact factor: 1.937

Review 9.  Aryl hydrocarbon receptors: diversity and evolution.

Authors:  Mark E Hahn
Journal:  Chem Biol Interact       Date:  2002-09-20       Impact factor: 5.192

Review 10.  2,3,7,8-Tetrachlorodibenzo-p-dioxin: environmental contaminant and molecular probe.

Authors:  A Poland; A Kende
Journal:  Fed Proc       Date:  1976-10
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  3 in total

Review 1.  Toward Sustainable Environmental Quality: Priority Research Questions for North America.

Authors:  Anne Fairbrother; Derek Muir; Keith R Solomon; Gerald T Ankley; Murray A Rudd; Alistair B A Boxall; Jennifer N Apell; Kevin L Armbrust; Bonnie J Blalock; Sarah R Bowman; Linda M Campbell; George P Cobb; Kristin A Connors; David A Dreier; Marlene S Evans; Carol J Henry; Robert A Hoke; Magali Houde; Stephen J Klaine; Rebecca D Klaper; Sigrun A Kullik; Roman P Lanno; Charles Meyer; Mary Ann Ottinger; Elias Oziolor; Elijah J Petersen; Helen C Poynton; Pamela J Rice; Gabriela Rodriguez-Fuentes; Alan Samel; Joseph R Shaw; Jeffery A Steevens; Tim A Verslycke; Doris E Vidal-Dorsch; Scott M Weir; Peter Wilson; Bryan W Brooks
Journal:  Environ Toxicol Chem       Date:  2019-08       Impact factor: 3.742

Review 2.  Xenobiotic metabolism and transport in Caenorhabditis elegans.

Authors:  Jessica H Hartman; Samuel J Widmayer; Christina M Bergemann; Dillon E King; Katherine S Morton; Riccardo F Romersi; Laura E Jameson; Maxwell C K Leung; Erik C Andersen; Stefan Taubert; Joel N Meyer
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2021-02-22       Impact factor: 8.071

3.  Casting a wide net: use of diverse model organisms to advance toxicology.

Authors:  Mark E Hahn; Kirsten C Sadler
Journal:  Dis Model Mech       Date:  2020-04-01       Impact factor: 5.758

  3 in total

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