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      Toxicodynamics of Mycotoxins in the Framework of Food Risk Assessment—An In Silico Perspective

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          Abstract

          Mycotoxins severely threaten the health of humans and animals. For this reason, many countries have enforced regulations and recommendations to reduce the dietary exposure. However, even though regulatory actions must be based on solid scientific knowledge, many aspects of their toxicological activity are still poorly understood. In particular, deepening knowledge on the primal molecular events triggering the toxic stimulus may be relevant to better understand the mechanisms of action of mycotoxins. The present work presents the use of in silico approaches in studying the mycotoxins toxicodynamics, and discusses how they may contribute in widening the background of knowledge. A particular emphasis has been posed on the methods accounting the molecular initiating events of toxic action. In more details, the key concepts and challenges of mycotoxins toxicology have been introduced. Then, topical case studies have been presented and some possible practical implementations of studying mycotoxins toxicodynamics have been discussed.

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          Most cited references126

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          Adverse outcome pathways: a conceptual framework to support ecotoxicology research and risk assessment.

          Ecological risk assessors face increasing demands to assess more chemicals, with greater speed and accuracy, and to do so using fewer resources and experimental animals. New approaches in biological and computational sciences may be able to generate mechanistic information that could help in meeting these challenges. However, to use mechanistic data to support chemical assessments, there is a need for effective translation of this information into endpoints meaningful to ecological risk-effects on survival, development, and reproduction in individual organisms and, by extension, impacts on populations. Here we discuss a framework designed for this purpose, the adverse outcome pathway (AOP). An AOP is a conceptual construct that portrays existing knowledge concerning the linkage between a direct molecular initiating event and an adverse outcome at a biological level of organization relevant to risk assessment. The practical utility of AOPs for ecological risk assessment of chemicals is illustrated using five case examples. The examples demonstrate how the AOP concept can focus toxicity testing in terms of species and endpoint selection, enhance across-chemical extrapolation, and support prediction of mixture effects. The examples also show how AOPs facilitate use of molecular or biochemical endpoints (sometimes referred to as biomarkers) for forecasting chemical impacts on individuals and populations. In the concluding sections of the paper, we discuss how AOPs can help to guide research that supports chemical risk assessments and advocate for the incorporation of this approach into a broader systems biology framework.
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            Virtual screening of chemical libraries.

            Virtual screening uses computer-based methods to discover new ligands on the basis of biological structures. Although widely heralded in the 1970s and 1980s, the technique has since struggled to meet its initial promise, and drug discovery remains dominated by empirical screening. Recent successes in predicting new ligands and their receptor-bound structures, and better rates of ligand discovery compared to empirical screening, have re-ignited interest in virtual screening, which is now widely used in drug discovery, albeit on a more limited scale than empirical screening.
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              Structural basis for the inhibition of the eukaryotic ribosome.

              The ribosome is a molecular machine responsible for protein synthesis and a major target for small-molecule inhibitors. Compared to the wealth of structural information available on ribosome-targeting antibiotics in bacteria, our understanding of the binding mode of ribosome inhibitors in eukaryotes is currently limited. Here we used X-ray crystallography to determine 16 high-resolution structures of 80S ribosomes from Saccharomyces cerevisiae in complexes with 12 eukaryote-specific and 4 broad-spectrum inhibitors. All inhibitors were found associated with messenger RNA and transfer RNA binding sites. In combination with kinetic experiments, the structures suggest a model for the action of cycloheximide and lactimidomycin, which explains why lactimidomycin, the larger compound, specifically targets the first elongation cycle. The study defines common principles of targeting and resistance, provides insights into translation inhibitor mode of action and reveals the structural determinants responsible for species selectivity which could guide future drug development.
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                Author and article information

                Journal
                Toxins (Basel)
                Toxins (Basel)
                toxins
                Toxins
                MDPI
                2072-6651
                23 January 2018
                February 2018
                : 10
                : 2
                : 52
                Affiliations
                Department of Food and Drug, University of Parma, 43124 Parma, Italy; luca.dellafiora@ 123456unipr.it (L.D.); chiara.dallasta@ 123456unipr.it (C.D.)
                Author notes
                [* ]Correspondence: gianni.galaverna@ 123456unipr.it ; Tel.: +39-0521-906270
                Author information
                https://orcid.org/0000-0002-1901-3317
                https://orcid.org/0000-0001-9042-2378
                Article
                toxins-10-00052
                10.3390/toxins10020052
                5848153
                29360783
                fb69728e-ce26-44e5-9ac3-8b1b8d3de171
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 November 2017
                : 20 January 2018
                Categories
                Review

                Molecular medicine
                mycotoxins,toxicology,in silico molecular modeling,toxicodynamic,risk assessment computational toxicology,mechanism of action

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