Johns Hopkins University, Bloomberg School of Public Health, Center for Alternatives to Animal Testing (CAAT), Baltimore, MD, USA.
NIH/NIEHS/DNTP/NICEATM, RTP, NC, USA.
ALTEX. 2018;35(2):139-162. doi: 10.14573/altex.1804051.
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 reca-pitulate 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-organ-on-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 chal-lenges of validating them are discussed. The suggested 3S approach promises to leverage 21st century technology and systematic thinking to achieve a paradigm change in studying systemic effects.
生物系统不仅仅是其各个部分的总和 - 它通过协同作用完成许多功能。将系统分解到分子机制水平需要在所有水平上重建功能,即,在我们对生物学及其扰动、实验模型和计算机建模的概念化中。毒理学包含有点任意的子类“系统毒性”;然而,没有相关的毒性损伤或一般疾病不是系统性的。至少炎症和修复是涉及需要跨生物体协调信号机制的。然而,涉及的身体成分越多,使用非动物模型重现这些毒性的挑战就越大。在这里,总结了当前系统测试的缺点和替代方法的发展。我们认为,我们需要一种系统的方法来整合现有知识,例如系统评价和其他循证方法。这种知识可以指导我们使用生物工程和虚拟计算机模型来模拟这些系统,即通过系统生物学或系统毒理学方法。实验多器官芯片和微生理系统(MPS)提供了生物体更具生理学的观点,促进了对系统毒性的更全面覆盖,即生物体水平上的扰动,而无需使用替代生物体(动物)。下一个挑战是建立疾病模型,即微病理生理系统(MPPS),以扩大其在涵盖生物医学方面的用途。讨论了结合计算和实验系统方法以及验证它们的挑战。所建议的 3S 方法有望利用 21 世纪的技术和系统思维来实现研究系统效应的范式转变。