Advances of dual-organ and multi-organ systems for gut, lung, skin and liver models in absorption and metabolism studies

吸收(声学) 器官系统 新陈代谢 医学 生物 药理学 生理学 病理 内科学 材料科学 复合材料 疾病
作者
Konstanze Brandauer,Sophie Schweinitzer,Alexandra Lorenz,Judith Krauß,Silvia Schobesberger,Martin Frauenlob,Peter Ertl
出处
期刊:Lab on a Chip [Royal Society of Chemistry]
卷期号:25 (6): 1384-1403 被引量:12
标识
DOI:10.1039/d4lc01011f
摘要

Drug development is a costly and timely process with high risks of failure during clinical trials. Although in vitro tissue models have significantly advanced over the years, thus fostering a transition from animal-derived models towards human-derived models, failure rates still remain high. Current cell-based assays are still not able to provide an accurate prediction of the clinical success or failure of a drug candidate. To overcome the limitations of current methods, a variety of microfluidic systems have been developed as powerful tools that are capable of mimicking (micro)physiological conditions more closely by integrating physiological fluid flow conditions, mechanobiological cues and concentration gradients, to name only a few. One major advantage of these biochip-based tissue cultures, however, is their ability to seamlessly connect different organ models, thereby allowing the study of organ-crosstalk and metabolic byproduct effects. This is especially important when assessing absorption, distribution, metabolism, and excretion (ADME) processes of drug candidates, where an interplay between various organs is a prerequisite. In the current review, a number of in vitro models as well as microfluidic dual- and multi-organ systems are summarized with a focus on absorption (skin, lung, gut) and metabolism (liver). Additionally, the advantage of multi-organ chips in identifying a drug's on and off-target toxicity is discussed. Finally, the potential high-throughput implementation and modular chip design of multi-organ-on-a-chip systems within the pharmaceutical industry is highlighted, outlining the necessity of reducing handling complexity.
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