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      3S – Systematic, Systemic, and Systems Biology and Toxicology

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          Summary

          A biological system is more than the sum of its parts – it accomplishes many functions via synergy. Deconstructing the system down to the molecular mechanism level necessitates the complement of reconstructing functions on all levels, i.e., in our conceptualization of biology and its perturbations, our experimental models and computer modelling. Toxicology contains the somewhat arbitrary subclass “systemic toxicities”; however, there is no relevant toxic insult or general disease that is not systemic. At least inflammation and repair are involved that require coordinated signaling mechanisms across the organism. However, the more body components involved, the greater the challenge to recapitulate such toxicities using non-animal models. Here, the shortcomings of current systemic testing and the development of alternative approaches are summarized.

          We argue that we need a systematic approach to integrating existing knowledge as exemplified by systematic reviews and other evidence-based approaches. Such knowledge can guide us in modelling these systems using bioengineering and virtual computer models, i.e., via systems biology or systems toxicology approaches. Experimental multi-organon-chip and microphysiological systems (MPS) provide a more physiological view of the organism, facilitating more comprehensive coverage of systemic toxicities, i.e., the perturbation on organism level, without using substitute organisms (animals). The next challenge is to establish disease models, i.e., micropathophysiological systems (MPPS), to expand their utility to encompass biomedicine. Combining computational and experimental systems approaches and the challenges of validating them are discussed. The suggested 3S approach promises to leverage 21 st century technology and systematic thinking to achieve a paradigm change in studying systemic effects.

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          Most cited references171

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          Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.

          Crosstalk and complexity within signaling pathways and their perturbation by oncogenes limit component-by-component approaches to understanding human disease. Network analysis of how normal and oncogenic signaling can be rewired by drugs may provide opportunities to target tumors with high specificity and efficacy. Using targeted inhibition of oncogenic signaling pathways, combined with DNA-damaging chemotherapy, we report that time-staggered EGFR inhibition, but not simultaneous coadministration, dramatically sensitizes a subset of triple-negative breast cancer cells to genotoxic drugs. Systems-level analysis-using high-density time-dependent measurements of signaling networks, gene expression profiles, and cell phenotypic responses in combination with mathematical modeling-revealed an approach for altering the intrinsic state of the cell through dynamic rewiring of oncogenic signaling pathways. This process converts these cells to a less tumorigenic state that is more susceptible to DNA damage-induced cell death by reactivation of an extrinsic apoptotic pathway whose function is suppressed in the oncogene-addicted state. Copyright © 2012 Elsevier Inc. All rights reserved.
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            Organoid-on-a-chip and body-on-a-chip systems for drug screening and disease modeling.

            In recent years, advances in tissue engineering and microfabrication technologies have enabled rapid growth in the areas of in vitro organoid development as well as organoid-on-a-chip platforms. These 3D model systems often are able to mimic human physiology more accurately than traditional 2D cultures and animal models. In this review, we describe the progress that has been made to generate organ-on-a-chip platforms and, more recently, more complex multi-organoid body-on-a-chip platforms and their applications. Importantly, these systems have the potential to dramatically impact biomedical applications in the areas of drug development, drug and toxicology screening, disease modeling, and the emerging area of personalized precision medicine.
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              Toxicology for the twenty-first century.

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                Author and article information

                Journal
                100953980
                21906
                ALTEX
                ALTEX
                ALTEX
                1868-596X
                3 August 2019
                2018
                16 August 2019
                : 35
                : 2
                : 139-162
                Affiliations
                [1 ]Johns Hopkins University, Bloomberg School of Public Health, Center for Alternatives to Animal Testing (CAAT), Baltimore, MD, USA
                [2 ]NIH/NIEHS/DNTP/NICEATM, RTP, NC, USA
                [3 ]European Commission, Joint Research Centre (JRC), EU Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM), Ispra, (VA), Italy
                [4 ]Yale Systems Biology Institute and Biomedical Engineering Department, Yale University, New Haven, CT, USA
                [5 ]Food and Drug Administration (FDA), Center for Food Safety and Applied Nutrition, College Park, MD, USA
                [6 ]CAAT-Europe, University of Konstanz, Konstanz, Germany
                Author notes
                Correspondence to Thomas Hartung, MD PhD, Center for Alternatives to Animal Testing, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, W7032, Baltimore, MD 21205, USA, thartun1@ 123456jhu.edu
                Article
                NIHMS1044676
                10.14573/altex.1804051
                6696989
                29677694
                c27dff86-49ef-45b9-a0a6-0d7bbcbb8faa

                This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International license ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is appropriately cited.

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                evidence-based toxicology,systems biology,repeated-dose toxicity,carcinogenicity,dart

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